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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1805.10807 | Suofei Zhang | Suofei Zhang, Wei Zhao, Xiaofu Wu, Quan Zhou | Fast Dynamic Routing Based on Weighted Kernel Density Estimation | 16 pages, 4 figures, submitted to eccv 2018 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Capsules as well as dynamic routing between them are most recently proposed
structures for deep neural networks. A capsule groups data into vectors or
matrices as poses rather than conventional scalars to represent specific
properties of target instance. Besides of pose, a capsule should be attached
with a probabilit... | [
{
"created": "Mon, 28 May 2018 08:18:31 GMT",
"version": "v1"
},
{
"created": "Sat, 1 Sep 2018 03:14:29 GMT",
"version": "v2"
}
] | 2018-09-05 | [
[
"Zhang",
"Suofei",
""
],
[
"Zhao",
"Wei",
""
],
[
"Wu",
"Xiaofu",
""
],
[
"Zhou",
"Quan",
""
]
] | Capsules as well as dynamic routing between them are most recently proposed structures for deep neural networks. A capsule groups data into vectors or matrices as poses rather than conventional scalars to represent specific properties of target instance. Besides of pose, a capsule should be attached with a probability ... |
2212.05757 | Sheikh Salman Hassan | Sheikh Salman Hassan, Yu Min Park, Yan Kyaw Tun, Walid Saad, Zhu Han,
Choong Seon Hong | Satellite-based ITS Data Offloading & Computation in 6G Networks: A
Cooperative Multi-Agent Proximal Policy Optimization DRL with Attention
Approach | 18 Pages, 20 Figures, Submitted to IEEE Transactions on Mobile
Computing (TMC)-(Under Major Revision) | null | null | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The proliferation of intelligent transportation systems (ITS) has led to
increasing demand for diverse network applications. However, conventional
terrestrial access networks (TANs) are inadequate in accommodating various
applications for remote ITS nodes, i.e., airplanes and ships. In contrast,
satellite access netw... | [
{
"created": "Mon, 12 Dec 2022 08:14:57 GMT",
"version": "v1"
},
{
"created": "Thu, 15 Jun 2023 02:16:54 GMT",
"version": "v2"
}
] | 2023-06-16 | [
[
"Hassan",
"Sheikh Salman",
""
],
[
"Park",
"Yu Min",
""
],
[
"Tun",
"Yan Kyaw",
""
],
[
"Saad",
"Walid",
""
],
[
"Han",
"Zhu",
""
],
[
"Hong",
"Choong Seon",
""
]
] | The proliferation of intelligent transportation systems (ITS) has led to increasing demand for diverse network applications. However, conventional terrestrial access networks (TANs) are inadequate in accommodating various applications for remote ITS nodes, i.e., airplanes and ships. In contrast, satellite access networ... |
2305.05062 | Hyeokhyen Kwon | Hyeokhyen Kwon, Chaitra Hegde, Yashar Kiarashi, Venkata Siva Krishna
Madala, Ratan Singh, ArjunSinh Nakum, Robert Tweedy, Leandro Miletto Tonetto,
Craig M. Zimring, Matthew Doiron, Amy D. Rodriguez, Allan I. Levey, and Gari
D. Clifford | A Feasibility Study on Indoor Localization and Multi-person Tracking
Using Sparsely Distributed Camera Network with Edge Computing | null | null | 10.1109/JISPIN.2023.3337189 | null | cs.CV cs.AI | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Camera-based activity monitoring systems are becoming an attractive solution
for smart building applications with the advances in computer vision and edge
computing technologies. In this paper, we present a feasibility study and
systematic analysis of a camera-based indoor localization and multi-person
tracking syste... | [
{
"created": "Mon, 8 May 2023 21:38:42 GMT",
"version": "v1"
},
{
"created": "Wed, 29 Nov 2023 14:23:09 GMT",
"version": "v2"
}
] | 2023-11-30 | [
[
"Kwon",
"Hyeokhyen",
""
],
[
"Hegde",
"Chaitra",
""
],
[
"Kiarashi",
"Yashar",
""
],
[
"Madala",
"Venkata Siva Krishna",
""
],
[
"Singh",
"Ratan",
""
],
[
"Nakum",
"ArjunSinh",
""
],
[
"Tweedy",
"Robert",
"... | Camera-based activity monitoring systems are becoming an attractive solution for smart building applications with the advances in computer vision and edge computing technologies. In this paper, we present a feasibility study and systematic analysis of a camera-based indoor localization and multi-person tracking system ... |
2407.08442 | Linglong Qian | Linglong Qian, Tao Wang, Jun Wang, Hugh Logan Ellis, Robin Mitra,
Richard Dobson, Zina Ibrahim | How Deep is your Guess? A Fresh Perspective on Deep Learning for Medical
Time-Series Imputation | null | null | null | null | cs.LG cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We introduce a novel classification framework for time-series imputation
using deep learning, with a particular focus on clinical data. By identifying
conceptual gaps in the literature and existing reviews, we devise a taxonomy
grounded on the inductive bias of neural imputation frameworks, resulting in a
classificat... | [
{
"created": "Thu, 11 Jul 2024 12:33:28 GMT",
"version": "v1"
}
] | 2024-07-12 | [
[
"Qian",
"Linglong",
""
],
[
"Wang",
"Tao",
""
],
[
"Wang",
"Jun",
""
],
[
"Ellis",
"Hugh Logan",
""
],
[
"Mitra",
"Robin",
""
],
[
"Dobson",
"Richard",
""
],
[
"Ibrahim",
"Zina",
""
]
] | We introduce a novel classification framework for time-series imputation using deep learning, with a particular focus on clinical data. By identifying conceptual gaps in the literature and existing reviews, we devise a taxonomy grounded on the inductive bias of neural imputation frameworks, resulting in a classificatio... |
2011.11542 | Chi Ian Tang | Chi Ian Tang, Ignacio Perez-Pozuelo, Dimitris Spathis, Cecilia Mascolo | Exploring Contrastive Learning in Human Activity Recognition for
Healthcare | Presented at Machine Learning for Mobile Health Workshop at NeurIPS
2020, Vancouver, Canada | null | null | null | cs.LG eess.SP | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Human Activity Recognition (HAR) constitutes one of the most important tasks
for wearable and mobile sensing given its implications in human well-being and
health monitoring. Motivated by the limitations of labeled datasets in HAR,
particularly when employed in healthcare-related applications, this work
explores the ... | [
{
"created": "Mon, 23 Nov 2020 16:55:22 GMT",
"version": "v1"
},
{
"created": "Thu, 24 Dec 2020 00:12:54 GMT",
"version": "v2"
},
{
"created": "Thu, 11 Feb 2021 05:41:43 GMT",
"version": "v3"
}
] | 2021-02-12 | [
[
"Tang",
"Chi Ian",
""
],
[
"Perez-Pozuelo",
"Ignacio",
""
],
[
"Spathis",
"Dimitris",
""
],
[
"Mascolo",
"Cecilia",
""
]
] | Human Activity Recognition (HAR) constitutes one of the most important tasks for wearable and mobile sensing given its implications in human well-being and health monitoring. Motivated by the limitations of labeled datasets in HAR, particularly when employed in healthcare-related applications, this work explores the ad... |
1906.05202 | Chia-Wen Kuo | Chia-Wen Kuo, Chih-Yao Ma, Jia-Bin Huang, Zsolt Kira | Manifold Graph with Learned Prototypes for Semi-Supervised Image
Classification | Project site:
https://sites.google.com/view/manifold-graph-with-prototypes/home | null | null | null | cs.LG cs.CV stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent advances in semi-supervised learning methods rely on estimating the
categories of unlabeled data using a model trained on the labeled data
(pseudo-labeling) and using the unlabeled data for various consistency-based
regularization. In this work, we propose to explicitly leverage the structure
of the data manif... | [
{
"created": "Wed, 12 Jun 2019 15:18:36 GMT",
"version": "v1"
},
{
"created": "Thu, 13 Jun 2019 02:46:21 GMT",
"version": "v2"
}
] | 2019-06-14 | [
[
"Kuo",
"Chia-Wen",
""
],
[
"Ma",
"Chih-Yao",
""
],
[
"Huang",
"Jia-Bin",
""
],
[
"Kira",
"Zsolt",
""
]
] | Recent advances in semi-supervised learning methods rely on estimating the categories of unlabeled data using a model trained on the labeled data (pseudo-labeling) and using the unlabeled data for various consistency-based regularization. In this work, we propose to explicitly leverage the structure of the data manifol... |
1811.10830 | Rowan Zellers | Rowan Zellers, Yonatan Bisk, Ali Farhadi, Yejin Choi | From Recognition to Cognition: Visual Commonsense Reasoning | CVPR 2019 oral. Project page at https://visualcommonsense.com | null | null | null | cs.CV cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Visual understanding goes well beyond object recognition. With one glance at
an image, we can effortlessly imagine the world beyond the pixels: for
instance, we can infer people's actions, goals, and mental states. While this
task is easy for humans, it is tremendously difficult for today's vision
systems, requiring ... | [
{
"created": "Tue, 27 Nov 2018 06:22:26 GMT",
"version": "v1"
},
{
"created": "Tue, 26 Mar 2019 17:50:34 GMT",
"version": "v2"
}
] | 2019-03-27 | [
[
"Zellers",
"Rowan",
""
],
[
"Bisk",
"Yonatan",
""
],
[
"Farhadi",
"Ali",
""
],
[
"Choi",
"Yejin",
""
]
] | Visual understanding goes well beyond object recognition. With one glance at an image, we can effortlessly imagine the world beyond the pixels: for instance, we can infer people's actions, goals, and mental states. While this task is easy for humans, it is tremendously difficult for today's vision systems, requiring hi... |
2002.04547 | Steffen Haas | Steffen Haas, Robin Sommer, Mathias Fischer | zeek-osquery: Host-Network Correlation for Advanced Monitoring and
Intrusion Detection | Accepted for publication at ICT Systems Security and Privacy
Protection (IFIP) SEC 2020 | null | 10.1007/978-3-030-58201-2_17 | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Intrusion Detection Systems (IDSs) can analyze network traffic for signs of
attacks and intrusions. However, encrypted communication limits their
visibility and sophisticated attackers additionally try to evade their
detection. To overcome these limitations, we extend the scope of Network IDSs
(NIDSs) with additional... | [
{
"created": "Tue, 11 Feb 2020 17:06:36 GMT",
"version": "v1"
},
{
"created": "Wed, 11 Mar 2020 14:15:05 GMT",
"version": "v2"
}
] | 2020-12-17 | [
[
"Haas",
"Steffen",
""
],
[
"Sommer",
"Robin",
""
],
[
"Fischer",
"Mathias",
""
]
] | Intrusion Detection Systems (IDSs) can analyze network traffic for signs of attacks and intrusions. However, encrypted communication limits their visibility and sophisticated attackers additionally try to evade their detection. To overcome these limitations, we extend the scope of Network IDSs (NIDSs) with additional d... |
2010.07080 | Felix A. Wolf | Felix A. Wolf and Malte Schwerhoff and Peter M\"uller | Concise Outlines for a Complex Logic: A Proof Outline Checker for TaDA
(Full Paper) | null | null | null | null | cs.PL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Modern separation logics allow one to prove rich properties of intricate
code, e.g. functional correctness and linearizability of non-blocking
concurrent code. However, this expressiveness leads to a complexity that makes
these logics difficult to apply. Manual proofs or proofs in interactive theorem
provers consist ... | [
{
"created": "Wed, 14 Oct 2020 13:35:53 GMT",
"version": "v1"
},
{
"created": "Thu, 15 Oct 2020 17:20:41 GMT",
"version": "v2"
},
{
"created": "Fri, 13 Aug 2021 15:18:13 GMT",
"version": "v3"
}
] | 2021-08-16 | [
[
"Wolf",
"Felix A.",
""
],
[
"Schwerhoff",
"Malte",
""
],
[
"Müller",
"Peter",
""
]
] | Modern separation logics allow one to prove rich properties of intricate code, e.g. functional correctness and linearizability of non-blocking concurrent code. However, this expressiveness leads to a complexity that makes these logics difficult to apply. Manual proofs or proofs in interactive theorem provers consist of... |
2406.07485 | Adnan Abbas | Adnan Abbas, Sang Won Lee | PITCH: Productivity and Mental Well-being Coaching through Daily
Conversational Interaction | null | null | null | null | cs.HC | http://creativecommons.org/licenses/by/4.0/ | Efficient task planning is essential for productivity and mental well-being,
yet individuals often struggle to create realistic plans and reflect upon their
productivity. Leveraging the advancement in artificial intelligence (AI),
conversational agents have emerged as a promising tool for enhancing
productivity. Our ... | [
{
"created": "Tue, 11 Jun 2024 17:26:58 GMT",
"version": "v1"
}
] | 2024-06-12 | [
[
"Abbas",
"Adnan",
""
],
[
"Lee",
"Sang Won",
""
]
] | Efficient task planning is essential for productivity and mental well-being, yet individuals often struggle to create realistic plans and reflect upon their productivity. Leveraging the advancement in artificial intelligence (AI), conversational agents have emerged as a promising tool for enhancing productivity. Our wo... |
2302.09257 | Zhenyu Li | Zhenyu Li, Ozan Alp Topal, \"Ozlem Tu\u{g}fe Demir, Emil Bj\"ornson,
Cicek Cavdar | mmWave Coverage Extension Using Reconfigurable Intelligent Surfaces in
Indoor Dense Spaces | 6 pages 8 figures. Accepted to be presented in IEEE ICC 2023 | null | null | null | cs.IT eess.SP math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this work, we consider the deployment of reconfigurable intelligent
surfaces (RISs) to extend the coverage of a millimeter-wave (mmWave) network in
indoor dense spaces. We first integrate RIS into ray-tracing simulations to
realistically capture the propagation characteristics, then formulate a
non-convex optimiza... | [
{
"created": "Sat, 18 Feb 2023 08:19:39 GMT",
"version": "v1"
}
] | 2023-02-21 | [
[
"Li",
"Zhenyu",
""
],
[
"Topal",
"Ozan Alp",
""
],
[
"Demir",
"Özlem Tuğfe",
""
],
[
"Björnson",
"Emil",
""
],
[
"Cavdar",
"Cicek",
""
]
] | In this work, we consider the deployment of reconfigurable intelligent surfaces (RISs) to extend the coverage of a millimeter-wave (mmWave) network in indoor dense spaces. We first integrate RIS into ray-tracing simulations to realistically capture the propagation characteristics, then formulate a non-convex optimizati... |
1101.1118 | Giuliano Andrea Pagani | Giuliano Andrea Pagani and Marco Aiello | Towards Decentralized Trading: A Topological Investigation of the Dutch
Medium and Low Voltage Grids | null | null | null | null | cs.CE cs.DM cs.SI physics.soc-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The traditional Power Grid has been designed in a hierarchical fashion, with
Energy pushed from the large scale production facilities towards the end users.
But with the increasing availability of micro and medium scale generating
facilities, the situation is changing. Many end users can now produce energy
and share ... | [
{
"created": "Thu, 6 Jan 2011 00:11:57 GMT",
"version": "v1"
},
{
"created": "Fri, 7 Jan 2011 14:27:25 GMT",
"version": "v2"
},
{
"created": "Thu, 3 Feb 2011 13:08:01 GMT",
"version": "v3"
},
{
"created": "Mon, 14 Feb 2011 15:02:53 GMT",
"version": "v4"
}
] | 2015-03-17 | [
[
"Pagani",
"Giuliano Andrea",
""
],
[
"Aiello",
"Marco",
""
]
] | The traditional Power Grid has been designed in a hierarchical fashion, with Energy pushed from the large scale production facilities towards the end users. But with the increasing availability of micro and medium scale generating facilities, the situation is changing. Many end users can now produce energy and share it... |
2305.12079 | Gerdus Benade | Gerdus Benad\`e and Ariel D. Procaccia and Jamie Tucker-Foltz | You Can Have Your Cake and Redistrict It Too | EC2023 | null | null | null | cs.GT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The design of algorithms for political redistricting generally takes one of
two approaches: optimize an objective such as compactness or, drawing on fair
division, construct a protocol whose outcomes guarantee partisan fairness. We
aim to have the best of both worlds by optimizing an objective subject to a
binary fai... | [
{
"created": "Sat, 20 May 2023 03:33:53 GMT",
"version": "v1"
}
] | 2023-05-23 | [
[
"Benadè",
"Gerdus",
""
],
[
"Procaccia",
"Ariel D.",
""
],
[
"Tucker-Foltz",
"Jamie",
""
]
] | The design of algorithms for political redistricting generally takes one of two approaches: optimize an objective such as compactness or, drawing on fair division, construct a protocol whose outcomes guarantee partisan fairness. We aim to have the best of both worlds by optimizing an objective subject to a binary fairn... |
2407.00693 | Gihun Lee | Gihun Lee, Minchan Jeong, Yujin Kim, Hojung Jung, Jaehoon Oh, Sangmook
Kim, Se-Young Yun | BAPO: Base-Anchored Preference Optimization for Personalized Alignment
in Large Language Models | under review | null | null | null | cs.AI cs.CL cs.LG | http://creativecommons.org/licenses/by/4.0/ | While learning to align Large Language Models (LLMs) with human preferences
has shown remarkable success, aligning these models to meet the diverse user
preferences presents further challenges in preserving previous knowledge. This
paper examines the impact of personalized preference optimization on LLMs,
revealing t... | [
{
"created": "Sun, 30 Jun 2024 13:30:04 GMT",
"version": "v1"
}
] | 2024-07-02 | [
[
"Lee",
"Gihun",
""
],
[
"Jeong",
"Minchan",
""
],
[
"Kim",
"Yujin",
""
],
[
"Jung",
"Hojung",
""
],
[
"Oh",
"Jaehoon",
""
],
[
"Kim",
"Sangmook",
""
],
[
"Yun",
"Se-Young",
""
]
] | While learning to align Large Language Models (LLMs) with human preferences has shown remarkable success, aligning these models to meet the diverse user preferences presents further challenges in preserving previous knowledge. This paper examines the impact of personalized preference optimization on LLMs, revealing tha... |
2408.04336 | Yin Gu | Yin Gu, Qi Liu, Zhi Li, Kai Zhang | KnowPC: Knowledge-Driven Programmatic Reinforcement Learning for
Zero-shot Coordination | null | null | null | null | cs.AI | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Zero-shot coordination (ZSC) remains a major challenge in the cooperative AI
field, which aims to learn an agent to cooperate with an unseen partner in
training environments or even novel environments. In recent years, a popular
ZSC solution paradigm has been deep reinforcement learning (DRL) combined with
advanced s... | [
{
"created": "Thu, 8 Aug 2024 09:43:54 GMT",
"version": "v1"
}
] | 2024-08-09 | [
[
"Gu",
"Yin",
""
],
[
"Liu",
"Qi",
""
],
[
"Li",
"Zhi",
""
],
[
"Zhang",
"Kai",
""
]
] | Zero-shot coordination (ZSC) remains a major challenge in the cooperative AI field, which aims to learn an agent to cooperate with an unseen partner in training environments or even novel environments. In recent years, a popular ZSC solution paradigm has been deep reinforcement learning (DRL) combined with advanced sel... |
1609.05245 | Marco Coraggio Mr | Marco Coraggio, Martin Homer, Oliver D. Payton, Mario di Bernardo | Improved Control Strategies for Intermittent Contact Mode Atomic Force
Microscopes | 11 pages | null | 10.1109/TCST.2017.2734046 | null | cs.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Atomic force microscopes have proved to be fundamental research tools in many
situations where a gentle imaging process is required, and in a variety of
environmental conditions, such as the study of biological samples. Among the
possible modes of operation, intermittent contact mode is one that causes less
wear to b... | [
{
"created": "Fri, 16 Sep 2016 21:43:18 GMT",
"version": "v1"
}
] | 2023-01-05 | [
[
"Coraggio",
"Marco",
""
],
[
"Homer",
"Martin",
""
],
[
"Payton",
"Oliver D.",
""
],
[
"di Bernardo",
"Mario",
""
]
] | Atomic force microscopes have proved to be fundamental research tools in many situations where a gentle imaging process is required, and in a variety of environmental conditions, such as the study of biological samples. Among the possible modes of operation, intermittent contact mode is one that causes less wear to bot... |
1304.1513 | A. C. Kak | A. C. Kak, K. M. Andress, C. Lopez-Abadia, M. S. Carroll, J. R. Lewis | Hierarchical Evidence Accumulation in the Pseiki System and Experiments
in Model-Driven Mobile Robot Navigation | Appears in Proceedings of the Fifth Conference on Uncertainty in
Artificial Intelligence (UAI1989) | null | null | UAI-P-1989-PG-194-207 | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we will review the process of evidence accumulation in the
PSEIKI system for expectation-driven interpretation of images of 3-D scenes.
Expectations are presented to PSEIKI as a geometrical hierarchy of
abstractions. PSEIKI's job is then to construct abstraction hierarchies in the
perceived image takin... | [
{
"created": "Wed, 27 Mar 2013 19:38:59 GMT",
"version": "v1"
}
] | 2013-04-08 | [
[
"Kak",
"A. C.",
""
],
[
"Andress",
"K. M.",
""
],
[
"Lopez-Abadia",
"C.",
""
],
[
"Carroll",
"M. S.",
""
],
[
"Lewis",
"J. R.",
""
]
] | In this paper, we will review the process of evidence accumulation in the PSEIKI system for expectation-driven interpretation of images of 3-D scenes. Expectations are presented to PSEIKI as a geometrical hierarchy of abstractions. PSEIKI's job is then to construct abstraction hierarchies in the perceived image taking ... |
1612.07303 | Johannes Feldmaier | Johannes Feldmaier, Tamara Marmat, Johannes Kuhn, Klaus Diepold | Evaluation of a RGB-LED-based Emotion Display for Affective Agents | null | null | null | null | cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Technology has become an essential part in every aspect of our lives. However
the key to a successful implementation of a technology depends on the
acceptance by the general public. In order to increase the acceptance various
approaches can be applied. In this paper, we will examine the human-robot
emotional interact... | [
{
"created": "Wed, 21 Dec 2016 20:12:08 GMT",
"version": "v1"
}
] | 2016-12-22 | [
[
"Feldmaier",
"Johannes",
""
],
[
"Marmat",
"Tamara",
""
],
[
"Kuhn",
"Johannes",
""
],
[
"Diepold",
"Klaus",
""
]
] | Technology has become an essential part in every aspect of our lives. However the key to a successful implementation of a technology depends on the acceptance by the general public. In order to increase the acceptance various approaches can be applied. In this paper, we will examine the human-robot emotional interactio... |
2312.04412 | Miroslav Popovic | Miroslav Popovic, Marko Popovic, Ivan Kastelan, Miodrag Djukic, Ilija
Basicevic | Developing Elementary Federated Learning Algorithms Leveraging the
ChatGPT | 4 pages, 6 tables, submitted to TELFOR 2023, Published by IEEE Xplore | null | 10.1109/TELFOR59449.2023.10372714 | null | cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The Python Testbed for Federated Learning Algorithms is a simple Python FL
framework easy to use by ML&AI developers who do not need to be professional
programmers, and this paper shows that it is also amenable to emerging AI
tools. In this paper, we successfully developed three elementary FL algorithms
using the fol... | [
{
"created": "Thu, 7 Dec 2023 16:34:47 GMT",
"version": "v1"
},
{
"created": "Mon, 8 Jan 2024 19:10:11 GMT",
"version": "v2"
}
] | 2024-01-10 | [
[
"Popovic",
"Miroslav",
""
],
[
"Popovic",
"Marko",
""
],
[
"Kastelan",
"Ivan",
""
],
[
"Djukic",
"Miodrag",
""
],
[
"Basicevic",
"Ilija",
""
]
] | The Python Testbed for Federated Learning Algorithms is a simple Python FL framework easy to use by ML&AI developers who do not need to be professional programmers, and this paper shows that it is also amenable to emerging AI tools. In this paper, we successfully developed three elementary FL algorithms using the follo... |
1404.5683 | Chen Song | Eva C. Song, Paul Cuff, H. Vincent Poor | The Likelihood Encoder for Lossy Source Compression | 5 pages, 2 figures, ISIT 2014 | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this work, a likelihood encoder is studied in the context of lossy source
compression. The analysis of the likelihood encoder is based on a soft-covering
lemma. It is demonstrated that the use of a likelihood encoder together with
the soft-covering lemma gives alternative achievability proofs for classical
source ... | [
{
"created": "Wed, 23 Apr 2014 02:10:32 GMT",
"version": "v1"
}
] | 2014-04-24 | [
[
"Song",
"Eva C.",
""
],
[
"Cuff",
"Paul",
""
],
[
"Poor",
"H. Vincent",
""
]
] | In this work, a likelihood encoder is studied in the context of lossy source compression. The analysis of the likelihood encoder is based on a soft-covering lemma. It is demonstrated that the use of a likelihood encoder together with the soft-covering lemma gives alternative achievability proofs for classical source co... |
2402.18584 | Chengqing Li | Xuenan Peng, Chengqing Li, Yicheng Zeng, Chun-Lai Li | Adjusting Dynamics of Hopfield Neural Network via Time-variant Stimulus | 14 pages, 21 figures | null | null | null | cs.NE nlin.CD | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | As a paradigmatic model for nonlinear dynamics studies, the Hopfield Neural
Network (HNN) demonstrates a high susceptibility to external disturbances owing
to its intricate structure. This paper delves into the challenge of modulating
HNN dynamics through time-variant stimuli. The effects of adjustments using two
dis... | [
{
"created": "Mon, 15 Jan 2024 13:31:56 GMT",
"version": "v1"
}
] | 2024-03-01 | [
[
"Peng",
"Xuenan",
""
],
[
"Li",
"Chengqing",
""
],
[
"Zeng",
"Yicheng",
""
],
[
"Li",
"Chun-Lai",
""
]
] | As a paradigmatic model for nonlinear dynamics studies, the Hopfield Neural Network (HNN) demonstrates a high susceptibility to external disturbances owing to its intricate structure. This paper delves into the challenge of modulating HNN dynamics through time-variant stimuli. The effects of adjustments using two disti... |
2301.00626 | Alejandro Vigna-Gomez | Alejandro Vigna-G\'omez, Javier Murillo, Manelik Ramirez, Alberto
Borbolla, Ian M\'arquez and Prasun K. Ray | Design and analysis of tweet-based election models for the 2021 Mexican
legislative election | Accepted for publication in EPJ Data Science. 20 pages, 7 figures, 1
table | null | 10.1140/epjds/s13688-023-00401-w | null | cs.SI cs.CL cs.CY | http://creativecommons.org/licenses/by/4.0/ | Modelling and forecasting real-life human behaviour using online social media
is an active endeavour of interest in politics, government, academia, and
industry. Since its creation in 2006, Twitter has been proposed as a potential
laboratory that could be used to gauge and predict social behaviour. During the
last de... | [
{
"created": "Mon, 2 Jan 2023 12:40:05 GMT",
"version": "v1"
},
{
"created": "Wed, 21 Jun 2023 08:01:38 GMT",
"version": "v2"
}
] | 2023-08-15 | [
[
"Vigna-Gómez",
"Alejandro",
""
],
[
"Murillo",
"Javier",
""
],
[
"Ramirez",
"Manelik",
""
],
[
"Borbolla",
"Alberto",
""
],
[
"Márquez",
"Ian",
""
],
[
"Ray",
"Prasun K.",
""
]
] | Modelling and forecasting real-life human behaviour using online social media is an active endeavour of interest in politics, government, academia, and industry. Since its creation in 2006, Twitter has been proposed as a potential laboratory that could be used to gauge and predict social behaviour. During the last deca... |
2010.03424 | Phuong Le-Hong | The Viet Bui, Phuong Le-Hong | Cross-lingual Extended Named Entity Classification of Wikipedia Articles | Accepted to NTCIR-15 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The FPT.AI team participated in the SHINRA2020-ML subtask of the NTCIR-15
SHINRA task. This paper describes our method to solving the problem and
discusses the official results. Our method focuses on learning cross-lingual
representations, both on the word level and document level for page
classification. We propose ... | [
{
"created": "Wed, 7 Oct 2020 14:06:09 GMT",
"version": "v1"
},
{
"created": "Sat, 17 Oct 2020 09:06:42 GMT",
"version": "v2"
}
] | 2020-10-20 | [
[
"Bui",
"The Viet",
""
],
[
"Le-Hong",
"Phuong",
""
]
] | The FPT.AI team participated in the SHINRA2020-ML subtask of the NTCIR-15 SHINRA task. This paper describes our method to solving the problem and discusses the official results. Our method focuses on learning cross-lingual representations, both on the word level and document level for page classification. We propose a ... |
1902.10796 | Ashwini Tonge | Ashwini Tonge and Cornelia Caragea | Dynamic Deep Multi-modal Fusion for Image Privacy Prediction | Accepted by The Web Conference (WWW) 2019 | null | 10.1145/3308558.3313691 | null | cs.CV cs.CY | http://creativecommons.org/licenses/by/4.0/ | With millions of images that are shared online on social networking sites,
effective methods for image privacy prediction are highly needed. In this
paper, we propose an approach for fusing object, scene context, and image tags
modalities derived from convolutional neural networks for accurately predicting
the privac... | [
{
"created": "Wed, 27 Feb 2019 21:42:08 GMT",
"version": "v1"
},
{
"created": "Wed, 6 Mar 2019 15:54:24 GMT",
"version": "v2"
}
] | 2019-03-07 | [
[
"Tonge",
"Ashwini",
""
],
[
"Caragea",
"Cornelia",
""
]
] | With millions of images that are shared online on social networking sites, effective methods for image privacy prediction are highly needed. In this paper, we propose an approach for fusing object, scene context, and image tags modalities derived from convolutional neural networks for accurately predicting the privacy ... |
2004.08641 | Ihab Mohamed | Ihab S. Mohamed, Guillaume Allibert, Philippe Martinet | Model Predictive Path Integral Control Framework for Partially
Observable Navigation: A Quadrotor Case Study | 8 pages, 8 figures, 3 tables | International Conference on Control, Automation, Robotics and
Vision (ICARCV), Shenzhen of China, December 13-15, 2020 | null | null | cs.RO cs.SY eess.SY | http://creativecommons.org/licenses/by/4.0/ | Recently, Model Predictive Path Integral (MPPI) control algorithm has been
extensively applied to autonomous navigation tasks, where the cost map is
mostly assumed to be known and the 2D navigation tasks are only performed. In
this paper, we propose a generic MPPI control framework that can be used for 2D
or 3D auton... | [
{
"created": "Sat, 18 Apr 2020 15:18:17 GMT",
"version": "v1"
},
{
"created": "Mon, 27 Apr 2020 12:15:26 GMT",
"version": "v2"
},
{
"created": "Wed, 14 Oct 2020 08:26:52 GMT",
"version": "v3"
}
] | 2020-10-15 | [
[
"Mohamed",
"Ihab S.",
""
],
[
"Allibert",
"Guillaume",
""
],
[
"Martinet",
"Philippe",
""
]
] | Recently, Model Predictive Path Integral (MPPI) control algorithm has been extensively applied to autonomous navigation tasks, where the cost map is mostly assumed to be known and the 2D navigation tasks are only performed. In this paper, we propose a generic MPPI control framework that can be used for 2D or 3D autonom... |
2009.05859 | Young-Ho Kim | Young-Ho Kim, Jarrod Collins, Zhongyu Li, Ponraj Chinnadurai, Ankur
Kapoor, C. Huie Lin, Tommaso Mansi | Towards Automatic Manipulation of Intra-cardiac Echocardiography
Catheter | null | null | null | null | cs.RO cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Intra-cardiac Echocardiography (ICE) is a powerful imaging modality for
guiding electrophysiology and structural heart interventions. ICE provides
real-time observation of anatomy, catheters, and emergent complications.
However, this increased reliance on intraprocedural imaging creates a high
cognitive demand on phy... | [
{
"created": "Sat, 12 Sep 2020 20:14:49 GMT",
"version": "v1"
},
{
"created": "Wed, 28 Oct 2020 15:18:07 GMT",
"version": "v2"
},
{
"created": "Fri, 29 Jan 2021 22:16:34 GMT",
"version": "v3"
}
] | 2021-02-02 | [
[
"Kim",
"Young-Ho",
""
],
[
"Collins",
"Jarrod",
""
],
[
"Li",
"Zhongyu",
""
],
[
"Chinnadurai",
"Ponraj",
""
],
[
"Kapoor",
"Ankur",
""
],
[
"Lin",
"C. Huie",
""
],
[
"Mansi",
"Tommaso",
""
]
] | Intra-cardiac Echocardiography (ICE) is a powerful imaging modality for guiding electrophysiology and structural heart interventions. ICE provides real-time observation of anatomy, catheters, and emergent complications. However, this increased reliance on intraprocedural imaging creates a high cognitive demand on physi... |
1802.01074 | Minh C. Phan | Minh C. Phan and Aixin Sun and Yi Tay and Jialong Han and Chenliang Li | Pair-Linking for Collective Entity Disambiguation: Two Could Be Better
Than All | null | null | null | null | cs.IR cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Collective entity disambiguation aims to jointly resolve multiple mentions by
linking them to their associated entities in a knowledge base. Previous works
are primarily based on the underlying assumption that entities within the same
document are highly related. However, the extend to which these mentioned
entities ... | [
{
"created": "Sun, 4 Feb 2018 05:50:39 GMT",
"version": "v1"
},
{
"created": "Sat, 7 Jul 2018 21:17:33 GMT",
"version": "v2"
},
{
"created": "Mon, 16 Jul 2018 05:24:37 GMT",
"version": "v3"
}
] | 2018-07-17 | [
[
"Phan",
"Minh C.",
""
],
[
"Sun",
"Aixin",
""
],
[
"Tay",
"Yi",
""
],
[
"Han",
"Jialong",
""
],
[
"Li",
"Chenliang",
""
]
] | Collective entity disambiguation aims to jointly resolve multiple mentions by linking them to their associated entities in a knowledge base. Previous works are primarily based on the underlying assumption that entities within the same document are highly related. However, the extend to which these mentioned entities ar... |
2205.03707 | Federico Olmedo | Marcelo Navarro and Federico Olmedo | Slicing of Probabilistic Programs based on Specifications | null | null | null | null | cs.PL | http://creativecommons.org/licenses/by-nc-nd/4.0/ | This paper presents the first slicing approach for probabilistic programs
based on specifications. We show that when probabilistic programs are
accompanied by their specifications in the form of pre- and post-condition, we
can exploit this semantic information to produce specification-preserving
slices strictly more ... | [
{
"created": "Sat, 7 May 2022 19:28:02 GMT",
"version": "v1"
}
] | 2022-05-10 | [
[
"Navarro",
"Marcelo",
""
],
[
"Olmedo",
"Federico",
""
]
] | This paper presents the first slicing approach for probabilistic programs based on specifications. We show that when probabilistic programs are accompanied by their specifications in the form of pre- and post-condition, we can exploit this semantic information to produce specification-preserving slices strictly more pr... |
1504.00198 | Nils Jansen | Friedrich Gretz, Nils Jansen, Benjamin Lucien Kaminski, Joost-Pieter
Katoen, Annabelle McIver, Federico Olmedo | Conditioning in Probabilistic Programming | null | null | null | null | cs.PL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We investigate the semantic intricacies of conditioning, a main feature in
probabilistic programming. We provide a weakest (liberal) pre-condition (w(l)p)
semantics for the elementary probabilistic programming language pGCL extended
with conditioning. We prove that quantitative weakest (liberal) pre-conditions
coinci... | [
{
"created": "Wed, 1 Apr 2015 12:29:10 GMT",
"version": "v1"
}
] | 2015-04-02 | [
[
"Gretz",
"Friedrich",
""
],
[
"Jansen",
"Nils",
""
],
[
"Kaminski",
"Benjamin Lucien",
""
],
[
"Katoen",
"Joost-Pieter",
""
],
[
"McIver",
"Annabelle",
""
],
[
"Olmedo",
"Federico",
""
]
] | We investigate the semantic intricacies of conditioning, a main feature in probabilistic programming. We provide a weakest (liberal) pre-condition (w(l)p) semantics for the elementary probabilistic programming language pGCL extended with conditioning. We prove that quantitative weakest (liberal) pre-conditions coincide... |
2405.01636 | Rokas Gipi\v{s}kis | Rokas Gipi\v{s}kis, Chun-Wei Tsai, and Olga Kurasova | Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and
Beyond: A Survey | 35 pages, 9 figures, 2 tables | null | null | null | cs.CV | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Artificial Intelligence (XAI) has found numerous applications in computer
vision. While image classification-based explainability techniques have
garnered significant attention, their counterparts in semantic segmentation
have been relatively neglected. Given the prevalent use of image segmentation,
ranging from medi... | [
{
"created": "Thu, 2 May 2024 18:00:25 GMT",
"version": "v1"
}
] | 2024-05-06 | [
[
"Gipiškis",
"Rokas",
""
],
[
"Tsai",
"Chun-Wei",
""
],
[
"Kurasova",
"Olga",
""
]
] | Artificial Intelligence (XAI) has found numerous applications in computer vision. While image classification-based explainability techniques have garnered significant attention, their counterparts in semantic segmentation have been relatively neglected. Given the prevalent use of image segmentation, ranging from medica... |
2205.15052 | Fatima Ezzahra Airod | Fatima Ezzahra Airod, Mattia Merluzzi, Paolo Di Lorenzo, Emilio
Calvanese Strinati | Reconfigurable Intelligent Surface Aided Mobile Edge Computing over
Intermittent mmWave Links | null | null | null | null | cs.IT cs.ET math.IT | http://creativecommons.org/licenses/by/4.0/ | The advent of Reconfigurable Intelligent Surfaces (RISs) in wireless
communication networks unlocks the way to support high frequency radio access
(e.g. in millimeter wave) while overcoming their sensitivity to the presence of
deep fading and blockages. In support of this vision, this work exhibits the
forward-lookin... | [
{
"created": "Mon, 30 May 2022 12:31:58 GMT",
"version": "v1"
}
] | 2022-05-31 | [
[
"Airod",
"Fatima Ezzahra",
""
],
[
"Merluzzi",
"Mattia",
""
],
[
"Di Lorenzo",
"Paolo",
""
],
[
"Strinati",
"Emilio Calvanese",
""
]
] | The advent of Reconfigurable Intelligent Surfaces (RISs) in wireless communication networks unlocks the way to support high frequency radio access (e.g. in millimeter wave) while overcoming their sensitivity to the presence of deep fading and blockages. In support of this vision, this work exhibits the forward-looking ... |
2203.10172 | Eric Graves | Eric Graves and Sina Ghiassian | Importance Sampling Placement in Off-Policy Temporal-Difference Methods | 5 pages, 2 figures | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A central challenge to applying many off-policy reinforcement learning
algorithms to real world problems is the variance introduced by importance
sampling. In off-policy learning, the agent learns about a different policy
than the one being executed. To account for the difference importance sampling
ratios are often ... | [
{
"created": "Fri, 18 Mar 2022 21:54:09 GMT",
"version": "v1"
},
{
"created": "Thu, 16 Jun 2022 19:54:42 GMT",
"version": "v2"
}
] | 2022-06-20 | [
[
"Graves",
"Eric",
""
],
[
"Ghiassian",
"Sina",
""
]
] | A central challenge to applying many off-policy reinforcement learning algorithms to real world problems is the variance introduced by importance sampling. In off-policy learning, the agent learns about a different policy than the one being executed. To account for the difference importance sampling ratios are often us... |
1901.04859 | Herman Shen | Sharad Rawat and M.-H. Herman Shen | A Novel Topology Optimization Approach using Conditional Deep Learning | 8 Pages, 6 Figures, 1 Table. arXiv admin note: text overlap with
arXiv:1808.02334 | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this study, a novel topology optimization approach based on conditional
Wasserstein generative adversarial networks (CWGAN) is developed to replicate
the conventional topology optimization algorithms in an extremely
computationally inexpensive way. CWGAN consists of a generator and a
discriminator, both of which a... | [
{
"created": "Mon, 14 Jan 2019 15:21:44 GMT",
"version": "v1"
}
] | 2019-01-16 | [
[
"Rawat",
"Sharad",
""
],
[
"Shen",
"M. -H. Herman",
""
]
] | In this study, a novel topology optimization approach based on conditional Wasserstein generative adversarial networks (CWGAN) is developed to replicate the conventional topology optimization algorithms in an extremely computationally inexpensive way. CWGAN consists of a generator and a discriminator, both of which are... |
2312.12030 | Jiachun Pan | Jiachun Pan, Hanshu Yan, Jun Hao Liew, Jiashi Feng, Vincent Y. F. Tan | Towards Accurate Guided Diffusion Sampling through Symplectic Adjoint
Method | null | null | null | null | cs.CV cs.AI | http://creativecommons.org/licenses/by/4.0/ | Training-free guided sampling in diffusion models leverages off-the-shelf
pre-trained networks, such as an aesthetic evaluation model, to guide the
generation process. Current training-free guided sampling algorithms obtain the
guidance energy function based on a one-step estimate of the clean image.
However, since t... | [
{
"created": "Tue, 19 Dec 2023 10:30:31 GMT",
"version": "v1"
}
] | 2023-12-20 | [
[
"Pan",
"Jiachun",
""
],
[
"Yan",
"Hanshu",
""
],
[
"Liew",
"Jun Hao",
""
],
[
"Feng",
"Jiashi",
""
],
[
"Tan",
"Vincent Y. F.",
""
]
] | Training-free guided sampling in diffusion models leverages off-the-shelf pre-trained networks, such as an aesthetic evaluation model, to guide the generation process. Current training-free guided sampling algorithms obtain the guidance energy function based on a one-step estimate of the clean image. However, since the... |
0911.2551 | Jayakrishnan Unnikrishnan | Jayakrishnan Unnikrishnan, Venugopal V. Veeravalli, Sean Meyn | Minimax Robust Quickest Change Detection | Submitted to IEEE Transactions on Information Theory, Nov. 2009.
Revised May 2010 | null | 10.1109/TIT.2011.2104993 | null | cs.IT math.IT math.ST stat.TH | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The popular criteria of optimality for quickest change detection procedures
are the Lorden criterion, the Shiryaev-Roberts-Pollak criterion, and the
Bayesian criterion. In this paper a robust version of these quickest change
detection problems is considered when the pre-change and post-change
distributions are not kn... | [
{
"created": "Fri, 13 Nov 2009 07:07:50 GMT",
"version": "v1"
},
{
"created": "Tue, 1 Jun 2010 03:57:48 GMT",
"version": "v2"
}
] | 2016-11-15 | [
[
"Unnikrishnan",
"Jayakrishnan",
""
],
[
"Veeravalli",
"Venugopal V.",
""
],
[
"Meyn",
"Sean",
""
]
] | The popular criteria of optimality for quickest change detection procedures are the Lorden criterion, the Shiryaev-Roberts-Pollak criterion, and the Bayesian criterion. In this paper a robust version of these quickest change detection problems is considered when the pre-change and post-change distributions are not know... |
2111.10711 | Sadat Shahriar | Sadat Shahriar, Arjun Mukherjee, Omprakash Gnawali | A Domain-Independent Holistic Approach to Deception Detection | null | null | 10.26615/978-954-452-072-4_147 | null | cs.SI | http://creativecommons.org/licenses/by/4.0/ | The deception in the text can be of different forms in different domains,
including fake news, rumor tweets, and spam emails. Irrespective of the domain,
the main intent of the deceptive text is to deceit the reader. Although
domain-specific deception detection exists, domain-independent deception
detection can provi... | [
{
"created": "Sun, 21 Nov 2021 01:52:38 GMT",
"version": "v1"
}
] | 2021-11-23 | [
[
"Shahriar",
"Sadat",
""
],
[
"Mukherjee",
"Arjun",
""
],
[
"Gnawali",
"Omprakash",
""
]
] | The deception in the text can be of different forms in different domains, including fake news, rumor tweets, and spam emails. Irrespective of the domain, the main intent of the deceptive text is to deceit the reader. Although domain-specific deception detection exists, domain-independent deception detection can provide... |
1903.01611 | Jonathan Frankle | Jonathan Frankle, Gintare Karolina Dziugaite, Daniel M. Roy, Michael
Carbin | Stabilizing the Lottery Ticket Hypothesis | This article has been subsumed by "Linear Mode Connectivity and the
Lottery Ticket Hypothesis" (arXiv:1912.05671, ICML 2020). Please read/cite
that article instead | null | null | null | cs.LG cs.CV stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Pruning is a well-established technique for removing unnecessary structure
from neural networks after training to improve the performance of inference.
Several recent results have explored the possibility of pruning at
initialization time to provide similar benefits during training. In particular,
the "lottery ticket... | [
{
"created": "Tue, 5 Mar 2019 00:52:12 GMT",
"version": "v1"
},
{
"created": "Fri, 7 Jun 2019 23:40:16 GMT",
"version": "v2"
},
{
"created": "Mon, 20 Jul 2020 16:50:33 GMT",
"version": "v3"
}
] | 2020-09-29 | [
[
"Frankle",
"Jonathan",
""
],
[
"Dziugaite",
"Gintare Karolina",
""
],
[
"Roy",
"Daniel M.",
""
],
[
"Carbin",
"Michael",
""
]
] | Pruning is a well-established technique for removing unnecessary structure from neural networks after training to improve the performance of inference. Several recent results have explored the possibility of pruning at initialization time to provide similar benefits during training. In particular, the "lottery ticket h... |
1905.09815 | Marco Tezzele | Andrea Mola and Marco Tezzele and Mahmoud Gadalla and Federica
Valdenazzi and Davide Grassi and Roberta Padovan and Gianluigi Rozza | Efficient Reduction in Shape Parameter Space Dimension for Ship
Propeller Blade Design | null | null | null | null | cs.CE math.NA | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this work, we present the results of a ship propeller design optimization
campaign carried out in the framework of the research project PRELICA, funded
by the Friuli Venezia Giulia regional government. The main idea of this work is
to operate on a multidisciplinary level to identify propeller shapes that lead
to r... | [
{
"created": "Wed, 15 May 2019 08:29:00 GMT",
"version": "v1"
}
] | 2019-05-24 | [
[
"Mola",
"Andrea",
""
],
[
"Tezzele",
"Marco",
""
],
[
"Gadalla",
"Mahmoud",
""
],
[
"Valdenazzi",
"Federica",
""
],
[
"Grassi",
"Davide",
""
],
[
"Padovan",
"Roberta",
""
],
[
"Rozza",
"Gianluigi",
""
]
] | In this work, we present the results of a ship propeller design optimization campaign carried out in the framework of the research project PRELICA, funded by the Friuli Venezia Giulia regional government. The main idea of this work is to operate on a multidisciplinary level to identify propeller shapes that lead to red... |
1710.01605 | Dirk Slock | Elisabeth de Carvalho and Dirk Slock | Cram\'er-Rao Bounds for Blind Multichannel Estimation | 22 pages, 3 figures | null | null | null | cs.IT eess.SP math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In some estimation problems, not all the parameters can be identified, which
results in singularity of the Fisher Information Matrix (FIM). The Cram\'er-Rao
Bound (CRB), which is the inverse of the FIM, is then not defined. To
regularize the estimation problem, one can impose constraints on the parameters
and derive ... | [
{
"created": "Wed, 4 Oct 2017 13:47:41 GMT",
"version": "v1"
}
] | 2018-07-24 | [
[
"de Carvalho",
"Elisabeth",
""
],
[
"Slock",
"Dirk",
""
]
] | In some estimation problems, not all the parameters can be identified, which results in singularity of the Fisher Information Matrix (FIM). The Cram\'er-Rao Bound (CRB), which is the inverse of the FIM, is then not defined. To regularize the estimation problem, one can impose constraints on the parameters and derive th... |
1802.05118 | Torgeir Dings{\o}yr | Torgeir Dings{\o}yr, Tore Dyb{\aa}, Mette Gjertsen, Anette Odgaard
Jacobsen, Tor-Erik Mathisen, Jan Ole Nordfjord, Kjetil R{\o}e, Kjetil Strand | Key Lessons from Tailoring Agile Methods for Large-Scale Software
Development | Accepted for publication in IEEE IT Professional | null | null | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We describe advice derived from one of the largest development programs in
Norway, where twelve Scrum teams combined agile practices with traditional
project management. The Perform program delivered 12 releases over a four-year
period, and finished on budget and on time. In this article, we summarize 12
key lessons ... | [
{
"created": "Wed, 14 Feb 2018 14:45:36 GMT",
"version": "v1"
}
] | 2018-02-15 | [
[
"Dingsøyr",
"Torgeir",
""
],
[
"Dybå",
"Tore",
""
],
[
"Gjertsen",
"Mette",
""
],
[
"Jacobsen",
"Anette Odgaard",
""
],
[
"Mathisen",
"Tor-Erik",
""
],
[
"Nordfjord",
"Jan Ole",
""
],
[
"Røe",
"Kjetil",
""
... | We describe advice derived from one of the largest development programs in Norway, where twelve Scrum teams combined agile practices with traditional project management. The Perform program delivered 12 releases over a four-year period, and finished on budget and on time. In this article, we summarize 12 key lessons on... |
2406.07536 | Wenxiao Wang | Wenxiao Wang, Weiming Zhuang, Lingjuan Lyu | Towards Fundamentally Scalable Model Selection: Asymptotically Fast
Update and Selection | 19 pages, 8 figures | null | null | null | cs.LG cs.CV stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The advancement of deep learning technologies is bringing new models every
day, motivating the study of scalable model selection. An ideal model selection
scheme should minimally support two operations efficiently over a large pool of
candidate models: update, which involves either adding a new candidate model or
rem... | [
{
"created": "Tue, 11 Jun 2024 17:57:49 GMT",
"version": "v1"
}
] | 2024-06-12 | [
[
"Wang",
"Wenxiao",
""
],
[
"Zhuang",
"Weiming",
""
],
[
"Lyu",
"Lingjuan",
""
]
] | The advancement of deep learning technologies is bringing new models every day, motivating the study of scalable model selection. An ideal model selection scheme should minimally support two operations efficiently over a large pool of candidate models: update, which involves either adding a new candidate model or remov... |
2101.11944 | Mauro Innocente | Mauro S. Innocente, Johann Sienz | Coefficients' Settings in Particle Swarm Optimization: Insight and
Guidelines | Preprint submitted to E. Dvorkin, M. Goldschmit, & M. Storti (Eds.),
Mec\'anica Computacional: Computational Intelligence Techniques for
Optimization and Data Modeling (B) (Vol. XXIX, pp. 9253-9269). Asociaci\'on
Argentina de Mec\'anica Computacional, Buenos Aires, Argentina, 2010. Open
access published version... | null | null | null | cs.NE math.OC | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Particle Swam Optimization is a population-based and gradient-free
optimization method developed by mimicking social behaviour observed in nature.
Its ability to optimize is not specifically implemented but emerges in the
global level from local interactions. In its canonical version, there are three
factors that gov... | [
{
"created": "Thu, 28 Jan 2021 11:49:45 GMT",
"version": "v1"
}
] | 2021-01-29 | [
[
"Innocente",
"Mauro S.",
""
],
[
"Sienz",
"Johann",
""
]
] | Particle Swam Optimization is a population-based and gradient-free optimization method developed by mimicking social behaviour observed in nature. Its ability to optimize is not specifically implemented but emerges in the global level from local interactions. In its canonical version, there are three factors that gover... |
2003.13617 | Javad Ghofrani | Kirill Loisha, Javad Ghofrani, Dirk Reichelt | A Systematic Mapping Study on Blockchain Technology for Digital
Protection of Communication with Industrial Control | 8 pages | null | null | null | cs.CR cs.DC cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In the next few years, Blockchain will play a central role in IoT as a
technology. It enables the traceability of processes between multiple parties
independent of a central instance. Blockchain allows to make the processes more
transparent, cheaper, and safer. This research paper was conducted as
systematic literatu... | [
{
"created": "Mon, 30 Mar 2020 16:49:11 GMT",
"version": "v1"
}
] | 2020-03-31 | [
[
"Loisha",
"Kirill",
""
],
[
"Ghofrani",
"Javad",
""
],
[
"Reichelt",
"Dirk",
""
]
] | In the next few years, Blockchain will play a central role in IoT as a technology. It enables the traceability of processes between multiple parties independent of a central instance. Blockchain allows to make the processes more transparent, cheaper, and safer. This research paper was conducted as systematic literature... |
2302.13865 | Yigit Sever | Ilter Taha Aktolga, Elif Sena Kuru, Yigit Sever, Pelin Angin | AI-Driven Container Security Approaches for 5G and Beyond: A Survey | 14 pages, 2 tables, 1 figure, submitted to Special issue on AI-driven
security in 5G and beyond | null | null | null | cs.CR | http://creativecommons.org/licenses/by-nc-sa/4.0/ | The rising use of microservices based software deployment on the cloud
leverages containerized software extensively. The security of applications
running inside containers as well as the container environment itself are
critical infrastructure in the cloud setting and 5G. To address the security
concerns, research ef... | [
{
"created": "Mon, 27 Feb 2023 15:05:53 GMT",
"version": "v1"
},
{
"created": "Fri, 31 Mar 2023 19:25:03 GMT",
"version": "v2"
}
] | 2023-04-04 | [
[
"Aktolga",
"Ilter Taha",
""
],
[
"Kuru",
"Elif Sena",
""
],
[
"Sever",
"Yigit",
""
],
[
"Angin",
"Pelin",
""
]
] | The rising use of microservices based software deployment on the cloud leverages containerized software extensively. The security of applications running inside containers as well as the container environment itself are critical infrastructure in the cloud setting and 5G. To address the security concerns, research effo... |
1507.08467 | David Sousa-Rodrigues | Cristian Jimenez-Romero and David Sousa-Rodrigues and Jeffrey H.
Johnson and Vitorino Ramos | A Model for Foraging Ants, Controlled by Spiking Neural Networks and
Double Pheromones | This work has been accepted for presentation at the UK Workshop on
Computational Intelligence --- University of Exeter, September 2015
http://www.ukci2015.ex.ac.uk/ | null | null | null | cs.NE cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A model of an Ant System where ants are controlled by a spiking neural
circuit and a second order pheromone mechanism in a foraging task is presented.
A neural circuit is trained for individual ants and subsequently the ants are
exposed to a virtual environment where a swarm of ants performed a resource
foraging task... | [
{
"created": "Thu, 30 Jul 2015 11:57:54 GMT",
"version": "v1"
},
{
"created": "Mon, 3 Aug 2015 09:25:03 GMT",
"version": "v2"
},
{
"created": "Fri, 18 Sep 2015 14:17:39 GMT",
"version": "v3"
}
] | 2015-09-21 | [
[
"Jimenez-Romero",
"Cristian",
""
],
[
"Sousa-Rodrigues",
"David",
""
],
[
"Johnson",
"Jeffrey H.",
""
],
[
"Ramos",
"Vitorino",
""
]
] | A model of an Ant System where ants are controlled by a spiking neural circuit and a second order pheromone mechanism in a foraging task is presented. A neural circuit is trained for individual ants and subsequently the ants are exposed to a virtual environment where a swarm of ants performed a resource foraging task. ... |
1609.08475 | Ester Hait | Ester Hait and Guy Gilboa | Blind Facial Image Quality Enhancement using Non-Rigid Semantic Patches | Please see the updated published version: Hait, Ester, and Guy
Gilboa. Blind Facial Image Quality Enhancement using Non-Rigid Semantic
Patches. IEEE Transactions on Image Processing 26.6 (2017): 2705 | null | 10.1109/TIP.2017.2686003 | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose to combine semantic data and registration algorithms to solve
various image processing problems such as denoising, super-resolution and
color-correction. It is shown how such new techniques can achieve significant
quality enhancement, both visually and quantitatively, in the case of facial
image enhancemen... | [
{
"created": "Tue, 27 Sep 2016 14:29:33 GMT",
"version": "v1"
},
{
"created": "Sun, 30 Apr 2017 07:39:56 GMT",
"version": "v2"
}
] | 2023-07-19 | [
[
"Hait",
"Ester",
""
],
[
"Gilboa",
"Guy",
""
]
] | We propose to combine semantic data and registration algorithms to solve various image processing problems such as denoising, super-resolution and color-correction. It is shown how such new techniques can achieve significant quality enhancement, both visually and quantitatively, in the case of facial image enhancement.... |
2311.00915 | Zedian Xiao | Zedian Xiao, William Held, Yanchen Liu, and Diyi Yang | Task-Agnostic Low-Rank Adapters for Unseen English Dialects | EMNLP 2023 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Large Language Models (LLMs) are trained on corpora disproportionally
weighted in favor of Standard American English. As a result, speakers of other
dialects experience significantly more failures when interacting with these
technologies. In practice, these speakers often accommodate their speech to be
better underst... | [
{
"created": "Thu, 2 Nov 2023 01:17:29 GMT",
"version": "v1"
}
] | 2023-11-03 | [
[
"Xiao",
"Zedian",
""
],
[
"Held",
"William",
""
],
[
"Liu",
"Yanchen",
""
],
[
"Yang",
"Diyi",
""
]
] | Large Language Models (LLMs) are trained on corpora disproportionally weighted in favor of Standard American English. As a result, speakers of other dialects experience significantly more failures when interacting with these technologies. In practice, these speakers often accommodate their speech to be better understoo... |
2407.16142 | Renming Huang | Renming Huang, Yunqiang Pei, Guoqing Wang, Yangming Zhang, Yang Yang,
Peng Wang and Hengtao Shen | Diffusion Models as Optimizers for Efficient Planning in Offline RL | The paper was accepted by ECCV2024 | null | null | null | cs.LG cs.AI cs.CV cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Diffusion models have shown strong competitiveness in offline reinforcement
learning tasks by formulating decision-making as sequential generation.
However, the practicality of these methods is limited due to the lengthy
inference processes they require. In this paper, we address this problem by
decomposing the sampl... | [
{
"created": "Tue, 23 Jul 2024 03:00:01 GMT",
"version": "v1"
}
] | 2024-07-24 | [
[
"Huang",
"Renming",
""
],
[
"Pei",
"Yunqiang",
""
],
[
"Wang",
"Guoqing",
""
],
[
"Zhang",
"Yangming",
""
],
[
"Yang",
"Yang",
""
],
[
"Wang",
"Peng",
""
],
[
"Shen",
"Hengtao",
""
]
] | Diffusion models have shown strong competitiveness in offline reinforcement learning tasks by formulating decision-making as sequential generation. However, the practicality of these methods is limited due to the lengthy inference processes they require. In this paper, we address this problem by decomposing the samplin... |
2103.13744 | Christian Reiser | Christian Reiser and Songyou Peng and Yiyi Liao and Andreas Geiger | KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs | ICCV 2021. Code, pretrained models and an interactive viewer are
available at https://github.com/creiser/kilonerf/ | null | null | null | cs.CV | http://creativecommons.org/licenses/by-sa/4.0/ | NeRF synthesizes novel views of a scene with unprecedented quality by fitting
a neural radiance field to RGB images. However, NeRF requires querying a deep
Multi-Layer Perceptron (MLP) millions of times, leading to slow rendering
times, even on modern GPUs. In this paper, we demonstrate that real-time
rendering is po... | [
{
"created": "Thu, 25 Mar 2021 10:53:05 GMT",
"version": "v1"
},
{
"created": "Mon, 2 Aug 2021 15:58:25 GMT",
"version": "v2"
}
] | 2021-08-03 | [
[
"Reiser",
"Christian",
""
],
[
"Peng",
"Songyou",
""
],
[
"Liao",
"Yiyi",
""
],
[
"Geiger",
"Andreas",
""
]
] | NeRF synthesizes novel views of a scene with unprecedented quality by fitting a neural radiance field to RGB images. However, NeRF requires querying a deep Multi-Layer Perceptron (MLP) millions of times, leading to slow rendering times, even on modern GPUs. In this paper, we demonstrate that real-time rendering is poss... |
2307.12643 | Waqas Aman Dr. | Waqas Aman, Flavio Giorgi, Giulio Attenni, Saif Al-Kuwari, Elmehdi
Illi, Marwa Qaraqe, Gaia Maselli, Roberto Di Pietro | Expanding Boundaries: Cross-Media Routing for Seamless Underwater and
Aerial Communication | Submitted to IEEE Communications Magazine | null | null | null | cs.NI cs.ET eess.SP | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The colossal evolution of wireless communication technologies over the past
few years has driven increased interest in its integration in a variety of
less-explored environments, such as the underwater medium. In this magazine
paper, we present a comprehensive discussion on a novel concept of routing
protocol known a... | [
{
"created": "Mon, 24 Jul 2023 09:35:35 GMT",
"version": "v1"
}
] | 2023-07-25 | [
[
"Aman",
"Waqas",
""
],
[
"Giorgi",
"Flavio",
""
],
[
"Attenni",
"Giulio",
""
],
[
"Al-Kuwari",
"Saif",
""
],
[
"Illi",
"Elmehdi",
""
],
[
"Qaraqe",
"Marwa",
""
],
[
"Maselli",
"Gaia",
""
],
[
"Di Pi... | The colossal evolution of wireless communication technologies over the past few years has driven increased interest in its integration in a variety of less-explored environments, such as the underwater medium. In this magazine paper, we present a comprehensive discussion on a novel concept of routing protocol known as ... |
1912.09147 | Enmei Tu | Xiao Han, Zihao Wang, Enmei Tu, Gunnam Suryanarayana, Jie Yang | Semi-Supervised Deep Learning Using Improved Unsupervised Discriminant
Projection | 1 figures | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Deep learning demands a huge amount of well-labeled data to train the network
parameters. How to use the least amount of labeled data to obtain the desired
classification accuracy is of great practical significance, because for many
real-world applications (such as medical diagnosis), it is difficult to obtain
so man... | [
{
"created": "Thu, 19 Dec 2019 11:55:12 GMT",
"version": "v1"
}
] | 2019-12-20 | [
[
"Han",
"Xiao",
""
],
[
"Wang",
"Zihao",
""
],
[
"Tu",
"Enmei",
""
],
[
"Suryanarayana",
"Gunnam",
""
],
[
"Yang",
"Jie",
""
]
] | Deep learning demands a huge amount of well-labeled data to train the network parameters. How to use the least amount of labeled data to obtain the desired classification accuracy is of great practical significance, because for many real-world applications (such as medical diagnosis), it is difficult to obtain so many ... |
1903.03746 | Gal Kaplun | Dimitris Kalimeris and Gal Kaplun and Yaron Singer | Robust Influence Maximization for Hyperparametric Models | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we study the problem of robust influence maximization in the
independent cascade model under a hyperparametric assumption. In social
networks users influence and are influenced by individuals with similar
characteristics and as such, they are associated with some features. A recent
surging research dir... | [
{
"created": "Sat, 9 Mar 2019 06:23:11 GMT",
"version": "v1"
},
{
"created": "Mon, 13 May 2019 00:32:44 GMT",
"version": "v2"
}
] | 2019-05-14 | [
[
"Kalimeris",
"Dimitris",
""
],
[
"Kaplun",
"Gal",
""
],
[
"Singer",
"Yaron",
""
]
] | In this paper, we study the problem of robust influence maximization in the independent cascade model under a hyperparametric assumption. In social networks users influence and are influenced by individuals with similar characteristics and as such, they are associated with some features. A recent surging research direc... |
2203.15399 | George Alexandropoulos | A. Mokh and J. de Rosny and G. C. Alexandropoulos and R. Khayatzadeh
and M. Kamoun and A. Ourir and A. Tourin and M. Fink | Time Reversal for Multiple Access and Mobility: Algorithmic Design and
Experimental Results | 6 pages, 6 figures, to be presented at IEEE Wireless Communications
and Networking Conference 2022 | null | null | null | cs.IT eess.SP math.IT | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Time Reversal (TR) has been proposed as a competitive precoding strategy for
low-complexity wireless devices relying on Ultra-WideBand (UWB) signal
waveforms. However, when TR is applied for multiple access, the signals
received by the multiple users suffer from significant levels of inter-symbol
and inter-user inter... | [
{
"created": "Tue, 29 Mar 2022 09:44:23 GMT",
"version": "v1"
}
] | 2022-03-30 | [
[
"Mokh",
"A.",
""
],
[
"de Rosny",
"J.",
""
],
[
"Alexandropoulos",
"G. C.",
""
],
[
"Khayatzadeh",
"R.",
""
],
[
"Kamoun",
"M.",
""
],
[
"Ourir",
"A.",
""
],
[
"Tourin",
"A.",
""
],
[
"Fink",
"M... | Time Reversal (TR) has been proposed as a competitive precoding strategy for low-complexity wireless devices relying on Ultra-WideBand (UWB) signal waveforms. However, when TR is applied for multiple access, the signals received by the multiple users suffer from significant levels of inter-symbol and inter-user interfe... |
1811.01306 | Domenico G. Sorrenti | Augusto L. Ballardini, Daniele Cattaneo, and Domenico G. Sorrenti | A dataset for benchmarking vision-based localization at intersections | 7 pages, 26 figures, report describing the work done to prepare a
dataset of sequences of a vehicle approaching an intersection, using the
sequences recorded in the KITTI dataset | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | In this report we present the work performed in order to build a dataset for
benchmarking vision-based localization at intersections, i.e., a set of stereo
video sequences taken from a road vehicle that is approaching an intersection,
altogether with a reliable measure of the observer position. This report is
meant t... | [
{
"created": "Sun, 4 Nov 2018 01:10:09 GMT",
"version": "v1"
}
] | 2018-11-06 | [
[
"Ballardini",
"Augusto L.",
""
],
[
"Cattaneo",
"Daniele",
""
],
[
"Sorrenti",
"Domenico G.",
""
]
] | In this report we present the work performed in order to build a dataset for benchmarking vision-based localization at intersections, i.e., a set of stereo video sequences taken from a road vehicle that is approaching an intersection, altogether with a reliable measure of the observer position. This report is meant to ... |
1609.08433 | Lantian Li Mr. | Chenghui Zhao, Lantian Li, Dong Wang, April Pu | Local Training for PLDA in Speaker Verification | O-COCOSDA 2016 | null | null | null | cs.SD cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | PLDA is a popular normalization approach for the i-vector model, and it has
delivered state-of-the-art performance in speaker verification. However, PLDA
training requires a large amount of labeled development data, which is highly
expensive in most cases. A possible approach to mitigate the problem is various
unsupe... | [
{
"created": "Tue, 27 Sep 2016 13:37:13 GMT",
"version": "v1"
}
] | 2016-09-28 | [
[
"Zhao",
"Chenghui",
""
],
[
"Li",
"Lantian",
""
],
[
"Wang",
"Dong",
""
],
[
"Pu",
"April",
""
]
] | PLDA is a popular normalization approach for the i-vector model, and it has delivered state-of-the-art performance in speaker verification. However, PLDA training requires a large amount of labeled development data, which is highly expensive in most cases. A possible approach to mitigate the problem is various unsuperv... |
2107.03698 | Lukas Lamm | L. Lamm and H. Holthusen and T. Brepols and S. Jockenh\"ovel and S.
Reese | A macroscopic approach for stress driven anisotropic growth in
bioengineered soft tissues | null | null | 10.1007/s10237-021-01554-1 | null | cs.CE cond-mat.soft | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The simulation of growth processes within soft biological tissues is of
utmost importance for many applications in the medical sector. Within this
contribution we propose a new macroscopic approach fro modelling stress-driven
volumetric growth occurring in soft tissues. Instead of using the standard
approach of a-pri... | [
{
"created": "Thu, 8 Jul 2021 09:21:33 GMT",
"version": "v1"
}
] | 2022-01-21 | [
[
"Lamm",
"L.",
""
],
[
"Holthusen",
"H.",
""
],
[
"Brepols",
"T.",
""
],
[
"Jockenhövel",
"S.",
""
],
[
"Reese",
"S.",
""
]
] | The simulation of growth processes within soft biological tissues is of utmost importance for many applications in the medical sector. Within this contribution we propose a new macroscopic approach fro modelling stress-driven volumetric growth occurring in soft tissues. Instead of using the standard approach of a-prior... |
cs/0612002 | Willemien Visser | Willemien Visser (INRIA Rocquencourt), Brigitte Trousse (INRIA Sophia
Antipolis) | Reuse of designs: Desperately seeking an interdisciplinary cognitive
approach | null | Dans IJCAI Thirteenth International Joint Conference on Artificial
Intelligence Workshop "Reuse of designs: An interdisciplinary cognitive
approach" (1993) | null | null | cs.HC cs.AI | null | This text analyses the papers accepted for the workshop "Reuse of designs: an
interdisciplinary cognitive approach". Several dimensions and questions
considered as important (by the authors and/or by us) are addressed: What about
the "interdisciplinary cognitive" character of the approaches adopted by the
authors? Is... | [
{
"created": "Thu, 30 Nov 2006 22:38:49 GMT",
"version": "v1"
}
] | 2007-05-23 | [
[
"Visser",
"Willemien",
"",
"INRIA Rocquencourt"
],
[
"Trousse",
"Brigitte",
"",
"INRIA Sophia\n Antipolis"
]
] | This text analyses the papers accepted for the workshop "Reuse of designs: an interdisciplinary cognitive approach". Several dimensions and questions considered as important (by the authors and/or by us) are addressed: What about the "interdisciplinary cognitive" character of the approaches adopted by the authors? Is d... |
2308.11079 | Luke Ditria | Luke Ditria, Tom Drummond | Long-Term Prediction of Natural Video Sequences with Robust Video
Predictors | null | null | null | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Predicting high dimensional video sequences is a curiously difficult problem.
The number of possible futures for a given video sequence grows exponentially
over time due to uncertainty. This is especially evident when trying to predict
complicated natural video scenes from a limited snapshot of the world. The
inheren... | [
{
"created": "Mon, 21 Aug 2023 23:16:58 GMT",
"version": "v1"
}
] | 2023-08-23 | [
[
"Ditria",
"Luke",
""
],
[
"Drummond",
"Tom",
""
]
] | Predicting high dimensional video sequences is a curiously difficult problem. The number of possible futures for a given video sequence grows exponentially over time due to uncertainty. This is especially evident when trying to predict complicated natural video scenes from a limited snapshot of the world. The inherent ... |
2310.09672 | Chang Lu | Chang Lu, Chandan K. Reddy, Ping Wang, Yue Ning | Towards Semi-Structured Automatic ICD Coding via Tree-based Contrastive
Learning | Accepted by NeurIPS 2023 | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Automatic coding of International Classification of Diseases (ICD) is a
multi-label text categorization task that involves extracting disease or
procedure codes from clinical notes. Despite the application of
state-of-the-art natural language processing (NLP) techniques, there are still
challenges including limited a... | [
{
"created": "Sat, 14 Oct 2023 22:07:13 GMT",
"version": "v1"
}
] | 2023-10-17 | [
[
"Lu",
"Chang",
""
],
[
"Reddy",
"Chandan K.",
""
],
[
"Wang",
"Ping",
""
],
[
"Ning",
"Yue",
""
]
] | Automatic coding of International Classification of Diseases (ICD) is a multi-label text categorization task that involves extracting disease or procedure codes from clinical notes. Despite the application of state-of-the-art natural language processing (NLP) techniques, there are still challenges including limited ava... |
1606.06452 | Mihalis Psarakis | Mihalis Psarakis | Reliability-Aware Overlay Architectures for FPGAs: Features and Design
Challenges | Presented at 2nd International Workshop on Overlay Architectures for
FPGAs (OLAF 2016) arXiv:1605.08149 | null | null | OLAF/2016/04 | cs.AR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The FPGA overlay architectures have been mainly proposed to improve design
productivity, circuit portability and system debugging. In this paper, we
address the use of overlay architectures for building fault tolerant SRAM-based
FPGA systems and discuss the main features and design challenges of a
reliability-aware o... | [
{
"created": "Tue, 21 Jun 2016 07:25:05 GMT",
"version": "v1"
}
] | 2016-06-22 | [
[
"Psarakis",
"Mihalis",
""
]
] | The FPGA overlay architectures have been mainly proposed to improve design productivity, circuit portability and system debugging. In this paper, we address the use of overlay architectures for building fault tolerant SRAM-based FPGA systems and discuss the main features and design challenges of a reliability-aware ove... |
1911.10023 | Mateusz Juda | Mateusz Juda | Unsupervised Features Learning for Sampled Vector Fields | null | null | null | null | cs.LG math.AT math.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper we introduce a new approach to computing hidden features of
sampled vector fields. The basic idea is to convert the vector field data to a
graph structure and use tools designed for automatic, unsupervised analysis of
graphs. Using a few data sets we show that the collected features of the vector
fields... | [
{
"created": "Fri, 22 Nov 2019 13:17:13 GMT",
"version": "v1"
},
{
"created": "Tue, 11 Aug 2020 10:38:40 GMT",
"version": "v2"
}
] | 2020-08-12 | [
[
"Juda",
"Mateusz",
""
]
] | In this paper we introduce a new approach to computing hidden features of sampled vector fields. The basic idea is to convert the vector field data to a graph structure and use tools designed for automatic, unsupervised analysis of graphs. Using a few data sets we show that the collected features of the vector fields a... |
1704.08021 | Nir Shlezinger | Nir Shlezinger, Ron Dabora, and Yonina C. Eldar | Measurement Matrix Design for Phase Retrieval Based on Mutual
Information | This paper was presented in part at the 2017 International Symposium
on Information Theory | null | 10.1109/TSP.2017.2759101 | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In phase retrieval problems, a signal of interest (SOI) is reconstructed
based on the magnitude of a linear transformation of the SOI observed with
additive noise. The linear transform is typically referred to as a measurement
matrix. Many works on phase retrieval assume that the measurement matrix is a
random Gaussi... | [
{
"created": "Wed, 26 Apr 2017 09:08:43 GMT",
"version": "v1"
},
{
"created": "Mon, 18 Sep 2017 18:24:14 GMT",
"version": "v2"
},
{
"created": "Sun, 24 Sep 2017 06:47:02 GMT",
"version": "v3"
}
] | 2018-02-14 | [
[
"Shlezinger",
"Nir",
""
],
[
"Dabora",
"Ron",
""
],
[
"Eldar",
"Yonina C.",
""
]
] | In phase retrieval problems, a signal of interest (SOI) is reconstructed based on the magnitude of a linear transformation of the SOI observed with additive noise. The linear transform is typically referred to as a measurement matrix. Many works on phase retrieval assume that the measurement matrix is a random Gaussian... |
2110.07301 | Michael Ruchte | Michael Ruchte and Josif Grabocka | Multi-task problems are not multi-objective | null | null | null | null | cs.LG stat.ML | http://creativecommons.org/licenses/by/4.0/ | Multi-objective optimization (MOO) aims at finding a set of optimal
configurations for a given set of objectives. A recent line of work applies MOO
methods to the typical Machine Learning (ML) setting, which becomes
multi-objective if a model should optimize more than one objective, for
instance in fair machine learn... | [
{
"created": "Thu, 14 Oct 2021 12:08:46 GMT",
"version": "v1"
}
] | 2021-10-15 | [
[
"Ruchte",
"Michael",
""
],
[
"Grabocka",
"Josif",
""
]
] | Multi-objective optimization (MOO) aims at finding a set of optimal configurations for a given set of objectives. A recent line of work applies MOO methods to the typical Machine Learning (ML) setting, which becomes multi-objective if a model should optimize more than one objective, for instance in fair machine learnin... |
1911.09365 | Javier Segovia Aguas | Javier Segovia-Aguas and Sergio Jim\'enez and Anders Jonsson | Generalized Planning with Positive and Negative Examples | Accepted at AAAI-20 (oral presentation) | null | null | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Generalized planning aims at computing an algorithm-like structure
(generalized plan) that solves a set of multiple planning instances. In this
paper we define negative examples for generalized planning as planning
instances that must not be solved by a generalized plan. With this regard the
paper extends the notion ... | [
{
"created": "Thu, 21 Nov 2019 09:41:56 GMT",
"version": "v1"
}
] | 2019-11-22 | [
[
"Segovia-Aguas",
"Javier",
""
],
[
"Jiménez",
"Sergio",
""
],
[
"Jonsson",
"Anders",
""
]
] | Generalized planning aims at computing an algorithm-like structure (generalized plan) that solves a set of multiple planning instances. In this paper we define negative examples for generalized planning as planning instances that must not be solved by a generalized plan. With this regard the paper extends the notion of... |
2308.06342 | Jaesung Tae | Jaesung Tae | Mirror Diffusion Models | null | null | null | null | cs.LG | http://creativecommons.org/licenses/by/4.0/ | Diffusion models have successfully been applied to generative tasks in
various continuous domains. However, applying diffusion to discrete categorical
data remains a non-trivial task. Moreover, generation in continuous domains
often requires clipping in practice, which motivates the need for a theoretical
framework f... | [
{
"created": "Fri, 11 Aug 2023 18:31:54 GMT",
"version": "v1"
},
{
"created": "Fri, 18 Aug 2023 03:21:55 GMT",
"version": "v2"
}
] | 2023-08-21 | [
[
"Tae",
"Jaesung",
""
]
] | Diffusion models have successfully been applied to generative tasks in various continuous domains. However, applying diffusion to discrete categorical data remains a non-trivial task. Moreover, generation in continuous domains often requires clipping in practice, which motivates the need for a theoretical framework for... |
2004.13587 | Zhongchao Qian | Zhongchao Qian, Tyler L. Hayes, Kushal Kafle, Christopher Kanan | Do We Need Fully Connected Output Layers in Convolutional Networks? | null | null | null | null | cs.CV cs.LG eess.IV stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Traditionally, deep convolutional neural networks consist of a series of
convolutional and pooling layers followed by one or more fully connected (FC)
layers to perform the final classification. While this design has been
successful, for datasets with a large number of categories, the fully connected
layers often acc... | [
{
"created": "Tue, 28 Apr 2020 15:21:44 GMT",
"version": "v1"
},
{
"created": "Wed, 29 Apr 2020 03:20:47 GMT",
"version": "v2"
}
] | 2020-04-30 | [
[
"Qian",
"Zhongchao",
""
],
[
"Hayes",
"Tyler L.",
""
],
[
"Kafle",
"Kushal",
""
],
[
"Kanan",
"Christopher",
""
]
] | Traditionally, deep convolutional neural networks consist of a series of convolutional and pooling layers followed by one or more fully connected (FC) layers to perform the final classification. While this design has been successful, for datasets with a large number of categories, the fully connected layers often accou... |
2404.02589 | Zhiyuan Wen | Zhiyuan Wen, Jiannong Cao, Yu Yang, Ruosong Yang, Shuaiqi Liu | Affective-NLI: Towards Accurate and Interpretable Personality
Recognition in Conversation | Accepted by IEEE PerCom 2024 | null | null | null | cs.CL cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Personality Recognition in Conversation (PRC) aims to identify the
personality traits of speakers through textual dialogue content. It is
essential for providing personalized services in various applications of
Human-Computer Interaction (HCI), such as AI-based mental therapy and companion
robots for the elderly. Mos... | [
{
"created": "Wed, 3 Apr 2024 09:14:24 GMT",
"version": "v1"
}
] | 2024-04-04 | [
[
"Wen",
"Zhiyuan",
""
],
[
"Cao",
"Jiannong",
""
],
[
"Yang",
"Yu",
""
],
[
"Yang",
"Ruosong",
""
],
[
"Liu",
"Shuaiqi",
""
]
] | Personality Recognition in Conversation (PRC) aims to identify the personality traits of speakers through textual dialogue content. It is essential for providing personalized services in various applications of Human-Computer Interaction (HCI), such as AI-based mental therapy and companion robots for the elderly. Most ... |
2102.08308 | Ecenaz Erdemir | Ecenaz Erdemir and Pier Luigi Dragotti and Deniz Gunduz | Active Privacy-utility Trade-off Against a Hypothesis Testing Adversary | Accepted to IEEE International Conference on Acoustics, Speech and
Signal Processing (ICASSP 2021) | null | null | null | cs.IT cs.CR cs.LG math.IT stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider a user releasing her data containing some personal information in
return of a service. We model user's personal information as two correlated
random variables, one of them, called the secret variable, is to be kept
private, while the other, called the useful variable, is to be disclosed for
utility. We co... | [
{
"created": "Tue, 16 Feb 2021 17:49:31 GMT",
"version": "v1"
},
{
"created": "Thu, 18 Feb 2021 11:59:00 GMT",
"version": "v2"
}
] | 2021-02-19 | [
[
"Erdemir",
"Ecenaz",
""
],
[
"Dragotti",
"Pier Luigi",
""
],
[
"Gunduz",
"Deniz",
""
]
] | We consider a user releasing her data containing some personal information in return of a service. We model user's personal information as two correlated random variables, one of them, called the secret variable, is to be kept private, while the other, called the useful variable, is to be disclosed for utility. We cons... |
2209.10687 | Stephanie Newdick | Stephanie Newdick, Nitin Ongole, Tony G. Chen, Edward Schmerling, Mark
R. Cutkosky, Marco Pavone | Motion Planning for a Climbing Robot with Stochastic Grasps | 7 pages, 7 figures | null | null | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Motion planning for a multi-limbed climbing robot must consider the robot's
posture, joint torques, and how it uses contact forces to interact with its
environment. This paper focuses on motion planning for a robot that uses
nontraditional locomotion to explore unpredictable environments such as martian
caves. Our ro... | [
{
"created": "Wed, 21 Sep 2022 22:25:11 GMT",
"version": "v1"
}
] | 2022-09-23 | [
[
"Newdick",
"Stephanie",
""
],
[
"Ongole",
"Nitin",
""
],
[
"Chen",
"Tony G.",
""
],
[
"Schmerling",
"Edward",
""
],
[
"Cutkosky",
"Mark R.",
""
],
[
"Pavone",
"Marco",
""
]
] | Motion planning for a multi-limbed climbing robot must consider the robot's posture, joint torques, and how it uses contact forces to interact with its environment. This paper focuses on motion planning for a robot that uses nontraditional locomotion to explore unpredictable environments such as martian caves. Our robo... |
2112.10699 | Siddhartha Datta | Siddhartha Datta, Konrad Kollnig, Nigel Shadbolt | Mind-proofing Your Phone: Navigating the Digital Minefield with
GreaseTerminator | Accepted in ACM IUI 2022 | null | 10.1145/3490099.3511152 | null | cs.HC cs.CR cs.LG | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Digital harms are widespread in the mobile ecosystem. As these devices gain
ever more prominence in our daily lives, so too increases the potential for
malicious attacks against individuals. The last line of defense against a range
of digital harms - including digital distraction, political polarisation
through hate ... | [
{
"created": "Mon, 20 Dec 2021 17:35:02 GMT",
"version": "v1"
},
{
"created": "Mon, 31 Jan 2022 12:14:49 GMT",
"version": "v2"
},
{
"created": "Tue, 1 Feb 2022 13:03:09 GMT",
"version": "v3"
}
] | 2022-12-20 | [
[
"Datta",
"Siddhartha",
""
],
[
"Kollnig",
"Konrad",
""
],
[
"Shadbolt",
"Nigel",
""
]
] | Digital harms are widespread in the mobile ecosystem. As these devices gain ever more prominence in our daily lives, so too increases the potential for malicious attacks against individuals. The last line of defense against a range of digital harms - including digital distraction, political polarisation through hate sp... |
2404.07520 | Anant Khandelwal | Anant Khandelwal | PromptSync: Bridging Domain Gaps in Vision-Language Models through
Class-Aware Prototype Alignment and Discrimination | Accepted at CVPR 2024 LIMIT, 12 pages, 8 Tables, 2 Figures | null | null | null | cs.CV cs.CL | http://creativecommons.org/licenses/by/4.0/ | The potential for zero-shot generalization in vision-language (V-L) models
such as CLIP has spurred their widespread adoption in addressing numerous
downstream tasks. Previous methods have employed test-time prompt tuning to
adapt the model to unseen domains, but they overlooked the issue of imbalanced
class distribu... | [
{
"created": "Thu, 11 Apr 2024 07:26:00 GMT",
"version": "v1"
},
{
"created": "Fri, 12 Apr 2024 17:01:04 GMT",
"version": "v2"
}
] | 2024-04-15 | [
[
"Khandelwal",
"Anant",
""
]
] | The potential for zero-shot generalization in vision-language (V-L) models such as CLIP has spurred their widespread adoption in addressing numerous downstream tasks. Previous methods have employed test-time prompt tuning to adapt the model to unseen domains, but they overlooked the issue of imbalanced class distributi... |
2102.07113 | Jasmin Bogatinovski Mr. | Jasmin Bogatinovski, Ljup\v{c}o Todorovski, Sa\v{s}o D\v{z}eroski,
Dragi Kocev | Comprehensive Comparative Study of Multi-Label Classification Methods | null | null | null | null | cs.LG cs.AI cs.CC | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Multi-label classification (MLC) has recently received increasing interest
from the machine learning community. Several studies provide reviews of methods
and datasets for MLC and a few provide empirical comparisons of MLC methods.
However, they are limited in the number of methods and datasets considered.
This work ... | [
{
"created": "Sun, 14 Feb 2021 09:38:15 GMT",
"version": "v1"
},
{
"created": "Tue, 16 Feb 2021 05:29:43 GMT",
"version": "v2"
}
] | 2021-02-17 | [
[
"Bogatinovski",
"Jasmin",
""
],
[
"Todorovski",
"Ljupčo",
""
],
[
"Džeroski",
"Sašo",
""
],
[
"Kocev",
"Dragi",
""
]
] | Multi-label classification (MLC) has recently received increasing interest from the machine learning community. Several studies provide reviews of methods and datasets for MLC and a few provide empirical comparisons of MLC methods. However, they are limited in the number of methods and datasets considered. This work pr... |
1804.06612 | Constantin Enea | Ahmed Bouajjani, Constantin Enea, Kailiang Ji, Shaz Qadeer | On the Completeness of Verifying Message Passing Programs under Bounded
Asynchrony | null | null | null | null | cs.PL cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We address the problem of verifying message passing programs, defined as a
set of parallel processes communicating through unbounded FIFO buffers. We
introduce a bounded analysis that explores a special type of computations,
called k-synchronous. These computations can be viewed as (unbounded) sequences
of interactio... | [
{
"created": "Wed, 18 Apr 2018 09:11:10 GMT",
"version": "v1"
}
] | 2018-04-20 | [
[
"Bouajjani",
"Ahmed",
""
],
[
"Enea",
"Constantin",
""
],
[
"Ji",
"Kailiang",
""
],
[
"Qadeer",
"Shaz",
""
]
] | We address the problem of verifying message passing programs, defined as a set of parallel processes communicating through unbounded FIFO buffers. We introduce a bounded analysis that explores a special type of computations, called k-synchronous. These computations can be viewed as (unbounded) sequences of interaction ... |
1604.05525 | Sonse Shimaoka | Sonse Shimaoka, Pontus Stenetorp, Kentaro Inui, Sebastian Riedel | An Attentive Neural Architecture for Fine-grained Entity Type
Classification | 6 pages, 2 figures | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this work we propose a novel attention-based neural network model for the
task of fine-grained entity type classification that unlike previously proposed
models recursively composes representations of entity mention contexts. Our
model achieves state-of-the-art performance with 74.94% loose micro F1-score on
the w... | [
{
"created": "Tue, 19 Apr 2016 11:39:53 GMT",
"version": "v1"
}
] | 2016-04-20 | [
[
"Shimaoka",
"Sonse",
""
],
[
"Stenetorp",
"Pontus",
""
],
[
"Inui",
"Kentaro",
""
],
[
"Riedel",
"Sebastian",
""
]
] | In this work we propose a novel attention-based neural network model for the task of fine-grained entity type classification that unlike previously proposed models recursively composes representations of entity mention contexts. Our model achieves state-of-the-art performance with 74.94% loose micro F1-score on the wel... |
0711.2399 | Alexander Tiskin | Vladimir Deineko and Alexander Tiskin | Minimum-weight double-tree shortcutting for Metric TSP: Bounding the
approximation ratio | null | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The Metric Traveling Salesman Problem (TSP) is a classical NP-hard
optimization problem. The double-tree shortcutting method for Metric TSP yields
an exponentially-sized space of TSP tours, each of which approximates the
optimal solution within at most a factor of 2. We consider the problem of
finding among these tou... | [
{
"created": "Thu, 15 Nov 2007 13:19:01 GMT",
"version": "v1"
},
{
"created": "Tue, 16 Dec 2008 11:58:25 GMT",
"version": "v2"
},
{
"created": "Sun, 28 Dec 2008 17:28:18 GMT",
"version": "v3"
}
] | 2008-12-30 | [
[
"Deineko",
"Vladimir",
""
],
[
"Tiskin",
"Alexander",
""
]
] | The Metric Traveling Salesman Problem (TSP) is a classical NP-hard optimization problem. The double-tree shortcutting method for Metric TSP yields an exponentially-sized space of TSP tours, each of which approximates the optimal solution within at most a factor of 2. We consider the problem of finding among these tours... |
1710.11310 | Masato Tajima | Masato Tajima | An Innovations Approach to Viterbi Decoding of Convolutional Codes | Accepted for publication in IEEE Trans. Inf. Theory | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We introduce the notion of innovations for Viterbi decoding of convolutional
codes. First we define a kind of innovation corresponding to the received data,
i.e., the input to a Viterbi decoder. Then the structure of a
Scarce-State-Transition (SST) Viterbi decoder is derived in a natural manner.
It is shown that the ... | [
{
"created": "Tue, 31 Oct 2017 03:21:59 GMT",
"version": "v1"
},
{
"created": "Mon, 14 May 2018 08:58:22 GMT",
"version": "v2"
},
{
"created": "Sun, 4 Nov 2018 00:39:49 GMT",
"version": "v3"
}
] | 2018-11-06 | [
[
"Tajima",
"Masato",
""
]
] | We introduce the notion of innovations for Viterbi decoding of convolutional codes. First we define a kind of innovation corresponding to the received data, i.e., the input to a Viterbi decoder. Then the structure of a Scarce-State-Transition (SST) Viterbi decoder is derived in a natural manner. It is shown that the ne... |
2309.09309 | James O'Keeffe | James O'Keeffe, Alan Gregory Millard | Predictive Fault Tolerance for Autonomous Robot Swarms | This work has been submitted to the IEEE for possible publication.
Copyright may be transferred without notice, after which this version may no
longer be accessible | null | null | null | cs.RO | http://creativecommons.org/licenses/by/4.0/ | Active fault tolerance is essential for robot swarms to retain long-term
autonomy. Previous work on swarm fault tolerance focuses on reacting to
electro-mechanical faults that are spontaneously injected into robot sensors
and actuators. Resolving faults once they have manifested as failures is an
inefficient approach... | [
{
"created": "Sun, 17 Sep 2023 15:54:48 GMT",
"version": "v1"
}
] | 2023-09-19 | [
[
"O'Keeffe",
"James",
""
],
[
"Millard",
"Alan Gregory",
""
]
] | Active fault tolerance is essential for robot swarms to retain long-term autonomy. Previous work on swarm fault tolerance focuses on reacting to electro-mechanical faults that are spontaneously injected into robot sensors and actuators. Resolving faults once they have manifested as failures is an inefficient approach, ... |
1401.3428 | Nicolas Meuleau | Nicolas Meuleau, Emmanuel Benazera, Ronen I. Brafman, Eric A. Hansen,
Mausam | A Heuristic Search Approach to Planning with Continuous Resources in
Stochastic Domains | null | Journal Of Artificial Intelligence Research, Volume 34, pages
27-59, 2009 | 10.1613/jair.2529 | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider the problem of optimal planning in stochastic domains with
resource constraints, where the resources are continuous and the choice of
action at each step depends on resource availability. We introduce the HAO*
algorithm, a generalization of the AO* algorithm that performs search in a
hybrid state space th... | [
{
"created": "Wed, 15 Jan 2014 04:46:00 GMT",
"version": "v1"
}
] | 2014-01-16 | [
[
"Meuleau",
"Nicolas",
""
],
[
"Benazera",
"Emmanuel",
""
],
[
"Brafman",
"Ronen I.",
""
],
[
"Hansen",
"Eric A.",
""
],
[
"Mausam",
"",
""
]
] | We consider the problem of optimal planning in stochastic domains with resource constraints, where the resources are continuous and the choice of action at each step depends on resource availability. We introduce the HAO* algorithm, a generalization of the AO* algorithm that performs search in a hybrid state space that... |
1405.2430 | Giuseppe Antonio Di Luna | G. A. Di Luna, P. Flocchini, S. Gan Chaudhuri, N. Santoro, G.
Viglietta | Robots with Lights: Overcoming Obstructed Visibility Without Colliding | null | null | null | null | cs.DC cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Robots with lights is a model of autonomous mobile computational entities
operating in the plane in Look-Compute-Move cycles: each agent has an
externally visible light which can assume colors from a fixed set; the lights
are persistent (i.e., the color is not erased at the end of a cycle), but
otherwise the agents a... | [
{
"created": "Sat, 10 May 2014 13:05:25 GMT",
"version": "v1"
}
] | 2014-05-13 | [
[
"Di Luna",
"G. A.",
""
],
[
"Flocchini",
"P.",
""
],
[
"Chaudhuri",
"S. Gan",
""
],
[
"Santoro",
"N.",
""
],
[
"Viglietta",
"G.",
""
]
] | Robots with lights is a model of autonomous mobile computational entities operating in the plane in Look-Compute-Move cycles: each agent has an externally visible light which can assume colors from a fixed set; the lights are persistent (i.e., the color is not erased at the end of a cycle), but otherwise the agents are... |
2107.00977 | Hadrien Reynaud | Hadrien Reynaud, Athanasios Vlontzos, Benjamin Hou, Arian Beqiri, Paul
Leeson, Bernhard Kainz | Ultrasound Video Transformers for Cardiac Ejection Fraction Estimation | Accepted for MICCAI 2021 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Cardiac ultrasound imaging is used to diagnose various heart diseases. Common
analysis pipelines involve manual processing of the video frames by expert
clinicians. This suffers from intra- and inter-observer variability. We propose
a novel approach to ultrasound video analysis using a transformer architecture
based ... | [
{
"created": "Fri, 2 Jul 2021 11:23:09 GMT",
"version": "v1"
}
] | 2021-07-05 | [
[
"Reynaud",
"Hadrien",
""
],
[
"Vlontzos",
"Athanasios",
""
],
[
"Hou",
"Benjamin",
""
],
[
"Beqiri",
"Arian",
""
],
[
"Leeson",
"Paul",
""
],
[
"Kainz",
"Bernhard",
""
]
] | Cardiac ultrasound imaging is used to diagnose various heart diseases. Common analysis pipelines involve manual processing of the video frames by expert clinicians. This suffers from intra- and inter-observer variability. We propose a novel approach to ultrasound video analysis using a transformer architecture based on... |
1303.4434 | Pinghua Gong | Pinghua Gong, Changshui Zhang, Zhaosong Lu, Jianhua Huang, Jieping Ye | A General Iterative Shrinkage and Thresholding Algorithm for Non-convex
Regularized Optimization Problems | null | null | null | null | cs.LG cs.NA stat.CO stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Non-convex sparsity-inducing penalties have recently received considerable
attentions in sparse learning. Recent theoretical investigations have
demonstrated their superiority over the convex counterparts in several sparse
learning settings. However, solving the non-convex optimization problems
associated with non-co... | [
{
"created": "Mon, 18 Mar 2013 21:41:53 GMT",
"version": "v1"
}
] | 2013-03-20 | [
[
"Gong",
"Pinghua",
""
],
[
"Zhang",
"Changshui",
""
],
[
"Lu",
"Zhaosong",
""
],
[
"Huang",
"Jianhua",
""
],
[
"Ye",
"Jieping",
""
]
] | Non-convex sparsity-inducing penalties have recently received considerable attentions in sparse learning. Recent theoretical investigations have demonstrated their superiority over the convex counterparts in several sparse learning settings. However, solving the non-convex optimization problems associated with non-conv... |
2310.07638 | Ziyue Huang | Ziyue Huang, Mingming Zhang, Qingjie Liu, Wei Wang, Zhe Dong, and
Yunhong Wang | Context-Enhanced Detector For Building Detection From Remote Sensing
Images | 12 pages, 7 figures | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The field of building detection from remote sensing images has made
significant progress, but faces challenges in achieving high-accuracy detection
due to the diversity in building appearances and the complexity of vast scenes.
To address these challenges, we propose a novel approach called
Context-Enhanced Detector ... | [
{
"created": "Wed, 11 Oct 2023 16:33:30 GMT",
"version": "v1"
},
{
"created": "Tue, 9 Jul 2024 07:03:02 GMT",
"version": "v2"
}
] | 2024-07-10 | [
[
"Huang",
"Ziyue",
""
],
[
"Zhang",
"Mingming",
""
],
[
"Liu",
"Qingjie",
""
],
[
"Wang",
"Wei",
""
],
[
"Dong",
"Zhe",
""
],
[
"Wang",
"Yunhong",
""
]
] | The field of building detection from remote sensing images has made significant progress, but faces challenges in achieving high-accuracy detection due to the diversity in building appearances and the complexity of vast scenes. To address these challenges, we propose a novel approach called Context-Enhanced Detector (C... |
2312.00949 | Christophe Tribes | Christophe Tribes, Sacha Benarroch-Lelong, Peng Lu, Ivan Kobyzev | Hyperparameter Optimization for Large Language Model Instruction-Tuning | null | null | null | null | cs.CL math.OC | http://creativecommons.org/licenses/by/4.0/ | The fine-tuning of Large Language Models (LLMs) has enabled them to recently
achieve milestones in natural language processing applications. The emergence
of ever larger LLMs has paved the way for more efficient fine-tuning methods.
Among these, the Low-Rank Adaptation (LoRA) method keeps most of the weights of
the p... | [
{
"created": "Fri, 1 Dec 2023 22:03:12 GMT",
"version": "v1"
},
{
"created": "Tue, 30 Jan 2024 21:32:31 GMT",
"version": "v2"
}
] | 2024-02-01 | [
[
"Tribes",
"Christophe",
""
],
[
"Benarroch-Lelong",
"Sacha",
""
],
[
"Lu",
"Peng",
""
],
[
"Kobyzev",
"Ivan",
""
]
] | The fine-tuning of Large Language Models (LLMs) has enabled them to recently achieve milestones in natural language processing applications. The emergence of ever larger LLMs has paved the way for more efficient fine-tuning methods. Among these, the Low-Rank Adaptation (LoRA) method keeps most of the weights of the pre... |
2001.11396 | Matthew Willetts | Miguel Morin, Matthew Willetts | Non-Determinism in TensorFlow ResNets | 4 pages | null | null | null | cs.LG cs.NE stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We show that the stochasticity in training ResNets for image classification
on GPUs in TensorFlow is dominated by the non-determinism from GPUs, rather
than by the initialisation of the weights and biases of the network or by the
sequence of minibatches given. The standard deviation of test set accuracy is
0.02 with ... | [
{
"created": "Thu, 30 Jan 2020 15:29:13 GMT",
"version": "v1"
}
] | 2020-01-31 | [
[
"Morin",
"Miguel",
""
],
[
"Willetts",
"Matthew",
""
]
] | We show that the stochasticity in training ResNets for image classification on GPUs in TensorFlow is dominated by the non-determinism from GPUs, rather than by the initialisation of the weights and biases of the network or by the sequence of minibatches given. The standard deviation of test set accuracy is 0.02 with fi... |
1604.08379 | Debasis Mishra | Debasis Mishra and Tridib Sharma | Balanced Ranking Mechanisms | null | null | null | null | cs.GT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In the private values single object auction model, we construct a
satisfactory mechanism - a symmetric, dominant strategy incentive compatible,
and budget-balanced mechanism. Our mechanism allocates the object to the
highest valued agent with more than 99% probability provided there are at least
14 agents. It is also... | [
{
"created": "Thu, 28 Apr 2016 11:41:02 GMT",
"version": "v1"
}
] | 2016-10-04 | [
[
"Mishra",
"Debasis",
""
],
[
"Sharma",
"Tridib",
""
]
] | In the private values single object auction model, we construct a satisfactory mechanism - a symmetric, dominant strategy incentive compatible, and budget-balanced mechanism. Our mechanism allocates the object to the highest valued agent with more than 99% probability provided there are at least 14 agents. It is also e... |
1410.0562 | Jacopo Pantaleoni | Jacopo Pantaleoni | A massively parallel algorithm for constructing the BWT of large string
sets | null | null | null | NVR-2014-002 | cs.DS cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a new scalable, lightweight algorithm to incrementally construct
the BWT and FM-index of large string sets such as those produced by Next
Generation Sequencing. The algorithm is designed for massive parallelism and
can effectively exploit the combination of low capacity high bandwidth memory
and slower ext... | [
{
"created": "Thu, 2 Oct 2014 14:25:51 GMT",
"version": "v1"
}
] | 2014-10-03 | [
[
"Pantaleoni",
"Jacopo",
""
]
] | We present a new scalable, lightweight algorithm to incrementally construct the BWT and FM-index of large string sets such as those produced by Next Generation Sequencing. The algorithm is designed for massive parallelism and can effectively exploit the combination of low capacity high bandwidth memory and slower exter... |
1612.05543 | Wasiur R. KhudaBukhsh | Wasiur R. KhudaBukhsh, Sounak Kar, Amr Rizk, and Heinz Koeppl | A Generalized Performance Evaluation Framework for Parallel Systems with
Output Synchronization | null | null | null | null | cs.PF | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Frameworks, such as MapReduce and Hadoop are abundant nowadays. They seek to
reap benefits of parallelization, albeit subject to a synchronization
constraint at the output. Fork-Join (FJ) queuing models are used to analyze
such systems. Arriving jobs are split into tasks each of which is mapped to
exactly one server.... | [
{
"created": "Fri, 16 Dec 2016 16:33:34 GMT",
"version": "v1"
}
] | 2016-12-19 | [
[
"KhudaBukhsh",
"Wasiur R.",
""
],
[
"Kar",
"Sounak",
""
],
[
"Rizk",
"Amr",
""
],
[
"Koeppl",
"Heinz",
""
]
] | Frameworks, such as MapReduce and Hadoop are abundant nowadays. They seek to reap benefits of parallelization, albeit subject to a synchronization constraint at the output. Fork-Join (FJ) queuing models are used to analyze such systems. Arriving jobs are split into tasks each of which is mapped to exactly one server. A... |
1604.02035 | Vivek Kumar | Vivek Kumar, Srijita Barthwal, Rishabh Kishore, Ruchika Saklani, Anuj
Sharma, Sandeep Sharma | Lossy Data Compression Using Logarithm | Presented in National Conference on Inspired Learning (2015) | null | null | null | cs.IT math.IT | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Lossy compression algorithms take advantage of the inherent limitations of
the human eye and discard information that cannot be seen. In the present
paper, a technique termed as Lossy Data Compression using Logarithm (LDCL) is
proposed to compress incoming binary data in the form of a resultant matrix
containing the ... | [
{
"created": "Thu, 7 Apr 2016 15:20:17 GMT",
"version": "v1"
}
] | 2016-04-08 | [
[
"Kumar",
"Vivek",
""
],
[
"Barthwal",
"Srijita",
""
],
[
"Kishore",
"Rishabh",
""
],
[
"Saklani",
"Ruchika",
""
],
[
"Sharma",
"Anuj",
""
],
[
"Sharma",
"Sandeep",
""
]
] | Lossy compression algorithms take advantage of the inherent limitations of the human eye and discard information that cannot be seen. In the present paper, a technique termed as Lossy Data Compression using Logarithm (LDCL) is proposed to compress incoming binary data in the form of a resultant matrix containing the lo... |
2104.05657 | Jiyang Tang | Jiyang Tang, Ming Li | End-to-End Mandarin Tone Classification with Short Term Context
Information | Accepted by APSIPA ASC 2021 | null | null | null | cs.SD cs.LG eess.AS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we propose an end-to-end Mandarin tone classification method
from continuous speech utterances utilizing both the spectrogram and the
short-term context information as the input. Both spectrograms and context
segment features are used to train the tone classifier. We first divide the
spectrogram frames... | [
{
"created": "Mon, 12 Apr 2021 17:27:39 GMT",
"version": "v1"
},
{
"created": "Mon, 12 Jul 2021 07:38:20 GMT",
"version": "v2"
},
{
"created": "Fri, 17 Dec 2021 14:08:26 GMT",
"version": "v3"
}
] | 2021-12-20 | [
[
"Tang",
"Jiyang",
""
],
[
"Li",
"Ming",
""
]
] | In this paper, we propose an end-to-end Mandarin tone classification method from continuous speech utterances utilizing both the spectrogram and the short-term context information as the input. Both spectrograms and context segment features are used to train the tone classifier. We first divide the spectrogram frames i... |
1203.4319 | Azni Haslizan Ab Halim | A. H. Azni, Rabiah Ahmad, Zul Azri Muhamad Noh, Abd Samad Hasan Basari
and Burairah Hussin | Correlated Node Behavior Model based on Semi Markov Process for MANETS | IJCSI Volume 9, Issue 1, January 2012 | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper introduces a new model for node behavior namely Correlated Node
Behavior Model which is an extension of Node Behavior Model. The model adopts
semi Markov process in continuous time which clusters the node that has
correlation. The key parameter of the process is determined by five
probabilistic parameters ... | [
{
"created": "Tue, 20 Mar 2012 05:05:50 GMT",
"version": "v1"
}
] | 2012-03-21 | [
[
"Azni",
"A. H.",
""
],
[
"Ahmad",
"Rabiah",
""
],
[
"Noh",
"Zul Azri Muhamad",
""
],
[
"Basari",
"Abd Samad Hasan",
""
],
[
"Hussin",
"Burairah",
""
]
] | This paper introduces a new model for node behavior namely Correlated Node Behavior Model which is an extension of Node Behavior Model. The model adopts semi Markov process in continuous time which clusters the node that has correlation. The key parameter of the process is determined by five probabilistic parameters ba... |
2312.12936 | Gabriele Ciravegna | Eleonora Poeta, Gabriele Ciravegna, Eliana Pastor, Tania Cerquitelli,
Elena Baralis | Concept-based Explainable Artificial Intelligence: A Survey | null | null | null | null | cs.AI cs.HC | http://creativecommons.org/licenses/by-nc-sa/4.0/ | The field of explainable artificial intelligence emerged in response to the
growing need for more transparent and reliable models. However, using raw
features to provide explanations has been disputed in several works lately,
advocating for more user-understandable explanations. To address this issue, a
wide range of... | [
{
"created": "Wed, 20 Dec 2023 11:27:21 GMT",
"version": "v1"
}
] | 2023-12-21 | [
[
"Poeta",
"Eleonora",
""
],
[
"Ciravegna",
"Gabriele",
""
],
[
"Pastor",
"Eliana",
""
],
[
"Cerquitelli",
"Tania",
""
],
[
"Baralis",
"Elena",
""
]
] | The field of explainable artificial intelligence emerged in response to the growing need for more transparent and reliable models. However, using raw features to provide explanations has been disputed in several works lately, advocating for more user-understandable explanations. To address this issue, a wide range of p... |
2404.08648 | Zhenyun Xie | Zhenyun Xie, David S\'anchez-J\'acome, Luis Torrijos-Mor\'an, Daniel
P\'erez-L\'opez | Software-defined optical networking applications enabled by programmable
integrated photonics | null | null | null | null | cs.NI cs.ET physics.optics | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Data center networks are experiencing unprecedented exponential growth,
mostly driven by the continuous computing demands in machine learning and
artificial intelligence algorithms. Within this realm, optical networking
offers numerous advantages, including low latency, energy efficiency, and
bandwidth transparency, ... | [
{
"created": "Mon, 4 Mar 2024 21:13:32 GMT",
"version": "v1"
}
] | 2024-04-16 | [
[
"Xie",
"Zhenyun",
""
],
[
"Sánchez-Jácome",
"David",
""
],
[
"Torrijos-Morán",
"Luis",
""
],
[
"Pérez-López",
"Daniel",
""
]
] | Data center networks are experiencing unprecedented exponential growth, mostly driven by the continuous computing demands in machine learning and artificial intelligence algorithms. Within this realm, optical networking offers numerous advantages, including low latency, energy efficiency, and bandwidth transparency, po... |
1812.10477 | Yulun Zhang | Yulun Zhang, Yapeng Tian, Yu Kong, Bineng Zhong, Yun Fu | Residual Dense Network for Image Restoration | To appear in TPAMI. arXiv admin note: substantial text overlap with
arXiv:1802.08797 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Convolutional neural network has recently achieved great success for image
restoration (IR) and also offered hierarchical features. However, most deep CNN
based IR models do not make full use of the hierarchical features from the
original low-quality images, thereby achieving relatively-low performance. In
this paper... | [
{
"created": "Tue, 25 Dec 2018 03:45:44 GMT",
"version": "v1"
},
{
"created": "Thu, 23 Jan 2020 01:10:07 GMT",
"version": "v2"
}
] | 2020-01-24 | [
[
"Zhang",
"Yulun",
""
],
[
"Tian",
"Yapeng",
""
],
[
"Kong",
"Yu",
""
],
[
"Zhong",
"Bineng",
""
],
[
"Fu",
"Yun",
""
]
] | Convolutional neural network has recently achieved great success for image restoration (IR) and also offered hierarchical features. However, most deep CNN based IR models do not make full use of the hierarchical features from the original low-quality images, thereby achieving relatively-low performance. In this paper, ... |
2105.12786 | Amit Amram | Eran Dahan, Tzvi Diskin, Amit Amram, Amit Moryossef, Omer Koren | cofga: A Dataset for Fine Grained Classification of Objects from Aerial
Imagery | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Detection and classification of objects in overhead images are two important
and challenging problems in computer vision. Among various research areas in
this domain, the task of fine-grained classification of objects in overhead
images has become ubiquitous in diverse real-world applications, due to recent
advances ... | [
{
"created": "Wed, 26 May 2021 18:39:47 GMT",
"version": "v1"
}
] | 2021-05-28 | [
[
"Dahan",
"Eran",
""
],
[
"Diskin",
"Tzvi",
""
],
[
"Amram",
"Amit",
""
],
[
"Moryossef",
"Amit",
""
],
[
"Koren",
"Omer",
""
]
] | Detection and classification of objects in overhead images are two important and challenging problems in computer vision. Among various research areas in this domain, the task of fine-grained classification of objects in overhead images has become ubiquitous in diverse real-world applications, due to recent advances in... |
2112.15001 | Josep Domingo-Ferrer | Josep Domingo-Ferrer and Jes\'us Manj\'on | Circuit-Free General-Purpose Multi-Party Computation via Co-Utile
Unlinkable Outsourcing | IEEE Transactions on Dependable and Secure Computing, to appear | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Multiparty computation (MPC) consists in several parties engaging in joint
computation in such a way that each party's input and output remain private to
that party. Whereas MPC protocols for specific computations have existed since
the 1980s, only recently general-purpose compilers have been developed to allow
MPC o... | [
{
"created": "Thu, 30 Dec 2021 10:26:13 GMT",
"version": "v1"
}
] | 2022-01-03 | [
[
"Domingo-Ferrer",
"Josep",
""
],
[
"Manjón",
"Jesús",
""
]
] | Multiparty computation (MPC) consists in several parties engaging in joint computation in such a way that each party's input and output remain private to that party. Whereas MPC protocols for specific computations have existed since the 1980s, only recently general-purpose compilers have been developed to allow MPC on ... |
2208.12463 | Qingqiang Sun | Qingqiang Sun, Xuemin Lin, Ying Zhang, Wenjie Zhang, Chaoqi Chen | Towards Higher-order Topological Consistency for Unsupervised Network
Alignment | Accepted by IEEE International Conference on Data Engineering (ICDE),
2023 | null | null | null | cs.LG cs.SI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Network alignment task, which aims to identify corresponding nodes in
different networks, is of great significance for many subsequent applications.
Without the need for labeled anchor links, unsupervised alignment methods have
been attracting more and more attention. However, the topological consistency
assumptions ... | [
{
"created": "Fri, 26 Aug 2022 07:09:13 GMT",
"version": "v1"
}
] | 2022-08-29 | [
[
"Sun",
"Qingqiang",
""
],
[
"Lin",
"Xuemin",
""
],
[
"Zhang",
"Ying",
""
],
[
"Zhang",
"Wenjie",
""
],
[
"Chen",
"Chaoqi",
""
]
] | Network alignment task, which aims to identify corresponding nodes in different networks, is of great significance for many subsequent applications. Without the need for labeled anchor links, unsupervised alignment methods have been attracting more and more attention. However, the topological consistency assumptions de... |
1303.5234 | Piotr Dendek | Piotr Jan Dendek and Artur Czeczko and Mateusz Fedoryszak and Adam
Kawa and Piotr Wendykier and Lukasz Bolikowski | How to perform research in Hadoop environment not losing mental
equilibrium - case study | This paper (with changed content) appeared under the title "Chrum:
The Tool for Convenient Generation of Apache Oozie Workflows" in "Intelligent
Tools for Building a Scientific Information Platform: From Research to
Implementation", "Studies in Computational Intelligence", Volume 541, 2014,
http://link.springer... | null | null | null | cs.SE cs.DC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Conducting a research in an efficient, repetitive, evaluable, but also
convenient (in terms of development) way has always been a challenge. To
satisfy those requirements in a long term and simultaneously minimize costs of
the software engineering process, one has to follow a certain set of
guidelines. This article d... | [
{
"created": "Thu, 21 Mar 2013 11:53:37 GMT",
"version": "v1"
},
{
"created": "Tue, 2 Apr 2013 10:17:14 GMT",
"version": "v2"
},
{
"created": "Sun, 16 Mar 2014 22:30:10 GMT",
"version": "v3"
}
] | 2014-03-18 | [
[
"Dendek",
"Piotr Jan",
""
],
[
"Czeczko",
"Artur",
""
],
[
"Fedoryszak",
"Mateusz",
""
],
[
"Kawa",
"Adam",
""
],
[
"Wendykier",
"Piotr",
""
],
[
"Bolikowski",
"Lukasz",
""
]
] | Conducting a research in an efficient, repetitive, evaluable, but also convenient (in terms of development) way has always been a challenge. To satisfy those requirements in a long term and simultaneously minimize costs of the software engineering process, one has to follow a certain set of guidelines. This article des... |
2301.06635 | Fuchang Gao | Fuchang Gao, Boyu Zhang | Data-aware customization of activation functions reduces neural network
error | 13 pages. arXiv admin note: substantial text overlap with
arXiv:2011.11713 | null | null | null | cs.LG cs.NE stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Activation functions play critical roles in neural networks, yet current
off-the-shelf neural networks pay little attention to the specific choice of
activation functions used. Here we show that data-aware customization of
activation functions can result in striking reductions in neural network error.
We first give a... | [
{
"created": "Mon, 16 Jan 2023 23:38:37 GMT",
"version": "v1"
}
] | 2023-01-18 | [
[
"Gao",
"Fuchang",
""
],
[
"Zhang",
"Boyu",
""
]
] | Activation functions play critical roles in neural networks, yet current off-the-shelf neural networks pay little attention to the specific choice of activation functions used. Here we show that data-aware customization of activation functions can result in striking reductions in neural network error. We first give a s... |
1905.08212 | Xinyi Wang | Xinyi Wang, Graham Neubig | Target Conditioned Sampling: Optimizing Data Selection for Multilingual
Neural Machine Translation | Accepted at ACL 2019 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | To improve low-resource Neural Machine Translation (NMT) with multilingual
corpora, training on the most related high-resource language only is often more
effective than using all data available (Neubig and Hu, 2018). However, it is
possible that an intelligent data selection strategy can further improve
low-resource... | [
{
"created": "Mon, 20 May 2019 16:54:43 GMT",
"version": "v1"
}
] | 2019-05-21 | [
[
"Wang",
"Xinyi",
""
],
[
"Neubig",
"Graham",
""
]
] | To improve low-resource Neural Machine Translation (NMT) with multilingual corpora, training on the most related high-resource language only is often more effective than using all data available (Neubig and Hu, 2018). However, it is possible that an intelligent data selection strategy can further improve low-resource N... |
2011.11829 | Zhiwen Xiao | Zhiwen Xiao, Xin Xu, Huanlai Xing, Shouxi Luo, Penglin Dai, Dawei Zhan | RTFN: A Robust Temporal Feature Network for Time Series Classification | 41pages, 7figures, Revised Paper | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Time series data usually contains local and global patterns. Most of the
existing feature networks pay more attention to local features rather than the
relationships among them. The latter is, however, also important yet more
difficult to explore. To obtain sufficient representations by a feature network
is still cha... | [
{
"created": "Tue, 24 Nov 2020 01:24:04 GMT",
"version": "v1"
},
{
"created": "Tue, 29 Dec 2020 02:23:58 GMT",
"version": "v2"
}
] | 2021-01-01 | [
[
"Xiao",
"Zhiwen",
""
],
[
"Xu",
"Xin",
""
],
[
"Xing",
"Huanlai",
""
],
[
"Luo",
"Shouxi",
""
],
[
"Dai",
"Penglin",
""
],
[
"Zhan",
"Dawei",
""
]
] | Time series data usually contains local and global patterns. Most of the existing feature networks pay more attention to local features rather than the relationships among them. The latter is, however, also important yet more difficult to explore. To obtain sufficient representations by a feature network is still chall... |
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