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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2302.03773 | Micahel Santacroce | Michael Santacroce, Zixin Wen, Yelong Shen, Yuanzhi Li | What Matters In The Structured Pruning of Generative Language Models? | null | null | null | null | cs.CL cs.LG | http://creativecommons.org/licenses/by/4.0/ | Auto-regressive large language models such as GPT-3 require enormous
computational resources to use. Traditionally, structured pruning methods are
employed to reduce resource usage. However, their application to and efficacy
for generative language models is heavily under-explored. In this paper we
conduct an compreh... | [
{
"created": "Tue, 7 Feb 2023 22:05:55 GMT",
"version": "v1"
}
] | 2023-02-09 | [
[
"Santacroce",
"Michael",
""
],
[
"Wen",
"Zixin",
""
],
[
"Shen",
"Yelong",
""
],
[
"Li",
"Yuanzhi",
""
]
] | Auto-regressive large language models such as GPT-3 require enormous computational resources to use. Traditionally, structured pruning methods are employed to reduce resource usage. However, their application to and efficacy for generative language models is heavily under-explored. In this paper we conduct an comprehen... |
1906.09884 | Yan Niu | Niu Yan, Jihong Ouyang | Channel-by-Channel Demosaicking Networks with Embedded Spectral
Correlation | null | null | null | null | cs.CV cs.MM eess.IV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Demosaicking is standardly the first step in today's Image Signal Processing
(ISP) pipeline of digital cameras. It reconstructs image RGB values from the
spatially and spectrally sparse Color Filter Array (CFA) samples, which are the
original raw data digitized from electrical signals. High quality and low cost
demos... | [
{
"created": "Mon, 24 Jun 2019 12:33:49 GMT",
"version": "v1"
},
{
"created": "Wed, 21 Aug 2019 11:55:00 GMT",
"version": "v2"
},
{
"created": "Wed, 22 Apr 2020 07:31:17 GMT",
"version": "v3"
}
] | 2020-04-23 | [
[
"Yan",
"Niu",
""
],
[
"Ouyang",
"Jihong",
""
]
] | Demosaicking is standardly the first step in today's Image Signal Processing (ISP) pipeline of digital cameras. It reconstructs image RGB values from the spatially and spectrally sparse Color Filter Array (CFA) samples, which are the original raw data digitized from electrical signals. High quality and low cost demosai... |
2004.06374 | Rutvij Jhaveri | Kishan N.Patel, Rutvij H.Jhaveri | Addressing Packet Dropping Misbehavior using Metaheuristic Approach: A
Survey | null | null | 10.1109/EESCO.2015.7253759 | null | cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A Mobile Ad hoc Network can be said as a collection of mobile nodes, which
builds a dynamic topology and a resource constrained network. Due to dynamic
nature routing is challenging in MANET. In Mobile Ad hoc Networks different
type of attack is possible. By manipulation in routing and attacks against data
are reason... | [
{
"created": "Tue, 14 Apr 2020 09:20:47 GMT",
"version": "v1"
}
] | 2020-04-15 | [
[
"Patel",
"Kishan N.",
""
],
[
"Jhaveri",
"Rutvij H.",
""
]
] | A Mobile Ad hoc Network can be said as a collection of mobile nodes, which builds a dynamic topology and a resource constrained network. Due to dynamic nature routing is challenging in MANET. In Mobile Ad hoc Networks different type of attack is possible. By manipulation in routing and attacks against data are reasoned... |
2203.13678 | Xijun Li | Ji Zhang, Xijun Li, Xiyao Zhou, Mingxuan Yuan, Zhuo Cheng, Keji Huang,
Yifan Li | LQoCo: Learning to Optimize Cache Capacity Overloading in Storage
Systems | This paper has been accepted by DAC 2022. Xijun is the correspoonding
author | null | null | null | cs.AR cs.AI cs.SY eess.SY | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Cache plays an important role to maintain high and stable performance (i.e.
high throughput, low tail latency and throughput jitter) in storage systems.
Existing rule-based cache management methods, coupled with engineers' manual
configurations, cannot meet ever-growing requirements of both time-varying
workloads and... | [
{
"created": "Mon, 21 Mar 2022 13:53:22 GMT",
"version": "v1"
}
] | 2022-03-28 | [
[
"Zhang",
"Ji",
""
],
[
"Li",
"Xijun",
""
],
[
"Zhou",
"Xiyao",
""
],
[
"Yuan",
"Mingxuan",
""
],
[
"Cheng",
"Zhuo",
""
],
[
"Huang",
"Keji",
""
],
[
"Li",
"Yifan",
""
]
] | Cache plays an important role to maintain high and stable performance (i.e. high throughput, low tail latency and throughput jitter) in storage systems. Existing rule-based cache management methods, coupled with engineers' manual configurations, cannot meet ever-growing requirements of both time-varying workloads and c... |
2105.09043 | Kiet Nguyen | Phong Nguyen-Thuan Do, Nhat Duy Nguyen, Tin Van Huynh, Kiet Van
Nguyen, Anh Gia-Tuan Nguyen, Ngan Luu-Thuy Nguyen | Sentence Extraction-Based Machine Reading Comprehension for Vietnamese | Accepted by KSEM 2021 (International Conference on Knowledge Science,
Engineering and Management) | null | null | null | cs.CL | http://creativecommons.org/licenses/by-nc-sa/4.0/ | The development of natural language processing (NLP) in general and machine
reading comprehension in particular has attracted the great attention of the
research community. In recent years, there are a few datasets for machine
reading comprehension tasks in Vietnamese with large sizes, such as UIT-ViQuAD
and UIT-ViNe... | [
{
"created": "Wed, 19 May 2021 10:22:27 GMT",
"version": "v1"
},
{
"created": "Fri, 11 Jun 2021 04:20:53 GMT",
"version": "v2"
}
] | 2021-06-14 | [
[
"Do",
"Phong Nguyen-Thuan",
""
],
[
"Nguyen",
"Nhat Duy",
""
],
[
"Van Huynh",
"Tin",
""
],
[
"Van Nguyen",
"Kiet",
""
],
[
"Nguyen",
"Anh Gia-Tuan",
""
],
[
"Nguyen",
"Ngan Luu-Thuy",
""
]
] | The development of natural language processing (NLP) in general and machine reading comprehension in particular has attracted the great attention of the research community. In recent years, there are a few datasets for machine reading comprehension tasks in Vietnamese with large sizes, such as UIT-ViQuAD and UIT-ViNews... |
1901.10422 | Anna Khoreva | Dan Zhang, Anna Khoreva | Progressive Augmentation of GANs | Accepted at NeurIPS'19 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Training of Generative Adversarial Networks (GANs) is notoriously fragile,
requiring to maintain a careful balance between the generator and the
discriminator in order to perform well. To mitigate this issue we introduce a
new regularization technique - progressive augmentation of GANs (PA-GAN). The
key idea is to gr... | [
{
"created": "Tue, 29 Jan 2019 17:47:39 GMT",
"version": "v1"
},
{
"created": "Fri, 24 May 2019 19:00:39 GMT",
"version": "v2"
},
{
"created": "Mon, 28 Oct 2019 15:52:31 GMT",
"version": "v3"
}
] | 2019-10-29 | [
[
"Zhang",
"Dan",
""
],
[
"Khoreva",
"Anna",
""
]
] | Training of Generative Adversarial Networks (GANs) is notoriously fragile, requiring to maintain a careful balance between the generator and the discriminator in order to perform well. To mitigate this issue we introduce a new regularization technique - progressive augmentation of GANs (PA-GAN). The key idea is to grad... |
2109.03062 | Shaoxiong Ji | Shaoxiong Ji and Pekka Marttinen | Patient Outcome and Zero-shot Diagnosis Prediction with
Hypernetwork-guided Multitask Learning | EACL 2023 | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | Multitask deep learning has been applied to patient outcome prediction from
text, taking clinical notes as input and training deep neural networks with a
joint loss function of multiple tasks. However, the joint training scheme of
multitask learning suffers from inter-task interference, and diagnosis
prediction among... | [
{
"created": "Tue, 7 Sep 2021 12:52:26 GMT",
"version": "v1"
},
{
"created": "Wed, 25 Jan 2023 07:49:28 GMT",
"version": "v2"
}
] | 2023-01-26 | [
[
"Ji",
"Shaoxiong",
""
],
[
"Marttinen",
"Pekka",
""
]
] | Multitask deep learning has been applied to patient outcome prediction from text, taking clinical notes as input and training deep neural networks with a joint loss function of multiple tasks. However, the joint training scheme of multitask learning suffers from inter-task interference, and diagnosis prediction among t... |
2405.18293 | Germain Vivier-Ardisson | Germain Vivier-Ardisson, Alexandre Forel, Axel Parmentier, Thibaut
Vidal | CF-OPT: Counterfactual Explanations for Structured Prediction | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Optimization layers in deep neural networks have enjoyed a growing popularity
in structured learning, improving the state of the art on a variety of
applications. Yet, these pipelines lack interpretability since they are made of
two opaque layers: a highly non-linear prediction model, such as a deep neural
network, a... | [
{
"created": "Tue, 28 May 2024 15:48:27 GMT",
"version": "v1"
},
{
"created": "Mon, 3 Jun 2024 15:07:01 GMT",
"version": "v2"
}
] | 2024-06-04 | [
[
"Vivier-Ardisson",
"Germain",
""
],
[
"Forel",
"Alexandre",
""
],
[
"Parmentier",
"Axel",
""
],
[
"Vidal",
"Thibaut",
""
]
] | Optimization layers in deep neural networks have enjoyed a growing popularity in structured learning, improving the state of the art on a variety of applications. Yet, these pipelines lack interpretability since they are made of two opaque layers: a highly non-linear prediction model, such as a deep neural network, and... |
1711.02695 | Antonin Mace | Antonin Mac\'e | The Limits of Citation Counts | null | null | null | null | cs.DL cs.SI econ.TH physics.soc-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | I study the measurement of scientists' influence using bibliographic data.
The main result is an axiomatic characterization of the family of
citation-counting indices, a broad class of influence measures which includes
the renowned h-index. The result highlights several limitations of these
indices: they are not suit... | [
{
"created": "Tue, 7 Nov 2017 19:22:02 GMT",
"version": "v1"
},
{
"created": "Wed, 23 Aug 2023 12:45:42 GMT",
"version": "v2"
},
{
"created": "Tue, 19 Sep 2023 12:44:57 GMT",
"version": "v3"
}
] | 2023-09-20 | [
[
"Macé",
"Antonin",
""
]
] | I study the measurement of scientists' influence using bibliographic data. The main result is an axiomatic characterization of the family of citation-counting indices, a broad class of influence measures which includes the renowned h-index. The result highlights several limitations of these indices: they are not suitab... |
1705.03917 | Xiaohu Zhang | Xinan Wang, Di Shi, Zhiwei Wang, Chunlei Xu, Qibing Zhang, Xiaohu
Zhang, Zhe Yu | Online Calibration of Phasor Measurement Unit Using Density-Based
Spatial Clustering | Accepted by IEEE Transactions on Power Delivery, this version is the
preprint | null | 10.1109/TPWRD.2017.2688356 | null | cs.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Data quality of Phasor Measurement Unit (PMU) is receiving increasing
attention as it has been identified as one of the limiting factors that affect
many wide-area measurement system (WAMS) based applications. In general,
existing PMU calibration methods include offline testing and model based
approaches. However, in... | [
{
"created": "Wed, 10 May 2017 18:33:48 GMT",
"version": "v1"
}
] | 2017-05-12 | [
[
"Wang",
"Xinan",
""
],
[
"Shi",
"Di",
""
],
[
"Wang",
"Zhiwei",
""
],
[
"Xu",
"Chunlei",
""
],
[
"Zhang",
"Qibing",
""
],
[
"Zhang",
"Xiaohu",
""
],
[
"Yu",
"Zhe",
""
]
] | Data quality of Phasor Measurement Unit (PMU) is receiving increasing attention as it has been identified as one of the limiting factors that affect many wide-area measurement system (WAMS) based applications. In general, existing PMU calibration methods include offline testing and model based approaches. However, in p... |
1412.0625 | Peter Selinger | Jonathan M. Smith, Neil J. Ross, Peter Selinger, and Beno\^it Valiron | Quipper: Concrete Resource Estimation in Quantum Algorithms | Extended abstract for a talk given at QAPL 2014 | null | null | null | cs.PL cs.ET quant-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Despite the rich literature on quantum algorithms, there is a surprisingly
small amount of coverage of their concrete logical design and implementation.
Most resource estimation is done at the level of complexity analysis, but
actual concrete numbers (of quantum gates, qubits, etc.) can differ by orders
of magnitude.... | [
{
"created": "Mon, 1 Dec 2014 20:20:04 GMT",
"version": "v1"
}
] | 2014-12-02 | [
[
"Smith",
"Jonathan M.",
""
],
[
"Ross",
"Neil J.",
""
],
[
"Selinger",
"Peter",
""
],
[
"Valiron",
"Benoît",
""
]
] | Despite the rich literature on quantum algorithms, there is a surprisingly small amount of coverage of their concrete logical design and implementation. Most resource estimation is done at the level of complexity analysis, but actual concrete numbers (of quantum gates, qubits, etc.) can differ by orders of magnitude. T... |
2203.00887 | Sruthi Gorantla | Sruthi Gorantla, Amit Deshpande, Anand Louis | Sampling Ex-Post Group-Fair Rankings | 31 pages. Accepted for publication as a full paper in IJCAI 2023 | null | null | null | cs.LG cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Randomized rankings have been of recent interest to achieve ex-ante fairer
exposure and better robustness than deterministic rankings. We propose a set of
natural axioms for randomized group-fair rankings and prove that there exists a
unique distribution $D$ that satisfies our axioms and is supported only over
ex-pos... | [
{
"created": "Wed, 2 Mar 2022 05:59:26 GMT",
"version": "v1"
},
{
"created": "Mon, 11 Jul 2022 05:57:48 GMT",
"version": "v2"
},
{
"created": "Mon, 29 May 2023 05:11:49 GMT",
"version": "v3"
}
] | 2023-05-30 | [
[
"Gorantla",
"Sruthi",
""
],
[
"Deshpande",
"Amit",
""
],
[
"Louis",
"Anand",
""
]
] | Randomized rankings have been of recent interest to achieve ex-ante fairer exposure and better robustness than deterministic rankings. We propose a set of natural axioms for randomized group-fair rankings and prove that there exists a unique distribution $D$ that satisfies our axioms and is supported only over ex-post ... |
2102.13191 | Chenhao Xie | Chenhao Xie, Xie Li, Yang Hu, Huwan Peng, Michael Taylor, Shuaiwen
Leon Song | Q-VR: System-Level Design for Future Mobile Collaborative Virtual
Reality | null | null | 10.1145/3445814.3446715 | null | cs.AR cs.GR | http://creativecommons.org/licenses/by-nc-sa/4.0/ | High Quality Mobile Virtual Reality (VR) is what the incoming graphics
technology era demands: users around the world, regardless of their hardware
and network conditions, can all enjoy the immersive virtual experience.
However, the state-of-the-art software-based mobile VR designs cannot fully
satisfy the realtime p... | [
{
"created": "Thu, 25 Feb 2021 21:56:05 GMT",
"version": "v1"
}
] | 2021-03-01 | [
[
"Xie",
"Chenhao",
""
],
[
"Li",
"Xie",
""
],
[
"Hu",
"Yang",
""
],
[
"Peng",
"Huwan",
""
],
[
"Taylor",
"Michael",
""
],
[
"Song",
"Shuaiwen Leon",
""
]
] | High Quality Mobile Virtual Reality (VR) is what the incoming graphics technology era demands: users around the world, regardless of their hardware and network conditions, can all enjoy the immersive virtual experience. However, the state-of-the-art software-based mobile VR designs cannot fully satisfy the realtime per... |
1208.5365 | Salah A. Aly | Salah A. Aly | A Missing and Found Recognition System for Hajj and Umrah | website available via http://www.mfhajj.com | null | null | null | cs.CV cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This note describes an integrated recognition system for identifying missing
and found objects as well as missing, dead, and found people during Hajj and
Umrah seasons in the two Holy cities of Makkah and Madina in the Kingdom of
Saudi Arabia. It is assumed that the total estimated number of pilgrims will
reach 20 mi... | [
{
"created": "Mon, 27 Aug 2012 11:20:49 GMT",
"version": "v1"
}
] | 2012-08-28 | [
[
"Aly",
"Salah A.",
""
]
] | This note describes an integrated recognition system for identifying missing and found objects as well as missing, dead, and found people during Hajj and Umrah seasons in the two Holy cities of Makkah and Madina in the Kingdom of Saudi Arabia. It is assumed that the total estimated number of pilgrims will reach 20 mill... |
2107.13766 | Amir Mazaheri | Amir Mazaheri, Mubarak Shah | Video Generation from Text Employing Latent Path Construction for
Temporal Modeling | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Video generation is one of the most challenging tasks in Machine Learning and
Computer Vision fields of study. In this paper, we tackle the text to video
generation problem, which is a conditional form of video generation. Humans can
listen/read natural language sentences, and can imagine or visualize what is
being d... | [
{
"created": "Thu, 29 Jul 2021 06:28:20 GMT",
"version": "v1"
}
] | 2021-07-30 | [
[
"Mazaheri",
"Amir",
""
],
[
"Shah",
"Mubarak",
""
]
] | Video generation is one of the most challenging tasks in Machine Learning and Computer Vision fields of study. In this paper, we tackle the text to video generation problem, which is a conditional form of video generation. Humans can listen/read natural language sentences, and can imagine or visualize what is being des... |
2203.04467 | Jie Wang | Hao Zhang, Jie Wang | Boilerplate Detection via Semantic Classification of TextBlocks | IJCNN 2021 | null | null | null | cs.CL cs.LG | http://creativecommons.org/licenses/by-nc-nd/4.0/ | We present a hierarchical neural network model called SemText to detect HTML
boilerplate based on a novel semantic representation of HTML tags, class names,
and text blocks. We train SemText on three published datasets of news webpages
and fine-tune it using a small number of development data in CleanEval and
GoogleT... | [
{
"created": "Wed, 9 Mar 2022 01:01:49 GMT",
"version": "v1"
}
] | 2022-03-10 | [
[
"Zhang",
"Hao",
""
],
[
"Wang",
"Jie",
""
]
] | We present a hierarchical neural network model called SemText to detect HTML boilerplate based on a novel semantic representation of HTML tags, class names, and text blocks. We train SemText on three published datasets of news webpages and fine-tune it using a small number of development data in CleanEval and GoogleTre... |
2107.10143 | Ekaterina Lobacheva Ms | Ildus Sadrtdinov, Nadezhda Chirkova, Ekaterina Lobacheva | On the Memorization Properties of Contrastive Learning | Published in Workshop on Overparameterization: Pitfalls &
Opportunities at ICML 2021 | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Memorization studies of deep neural networks (DNNs) help to understand what
patterns and how do DNNs learn, and motivate improvements to DNN training
approaches. In this work, we investigate the memorization properties of SimCLR,
a widely used contrastive self-supervised learning approach, and compare them
to the mem... | [
{
"created": "Wed, 21 Jul 2021 15:21:58 GMT",
"version": "v1"
}
] | 2021-07-22 | [
[
"Sadrtdinov",
"Ildus",
""
],
[
"Chirkova",
"Nadezhda",
""
],
[
"Lobacheva",
"Ekaterina",
""
]
] | Memorization studies of deep neural networks (DNNs) help to understand what patterns and how do DNNs learn, and motivate improvements to DNN training approaches. In this work, we investigate the memorization properties of SimCLR, a widely used contrastive self-supervised learning approach, and compare them to the memor... |
1308.1206 | Prashanth B.U.V | B.U.V Prashanth, Y.Pandurangaiah | Generation of Secret Key for Physical Layer to Evaluate Channel
Characteristics in Wireless Communications | 5 pages, 2 figures, proceedings of International Conference ERCICA
2013 pp: 251-255,Published by Elsevier Ltd | Proceedings of International Conference- ERCICA 2013 pp:
251-255,Published by Elsevier Ltd | null | ISBN:9789351071020 | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This manuscript aims to generate a secret key for a PHY layer to evaluate the
channel characteristics in wireless communications. An algorithmic approach is
adopted for multimedia encryption to generate a secret key between two entities
communicating with each other in a real time simulation environment such as
MATLA... | [
{
"created": "Tue, 6 Aug 2013 08:39:23 GMT",
"version": "v1"
}
] | 2013-08-07 | [
[
"Prashanth",
"B. U. V",
""
],
[
"Pandurangaiah",
"Y.",
""
]
] | This manuscript aims to generate a secret key for a PHY layer to evaluate the channel characteristics in wireless communications. An algorithmic approach is adopted for multimedia encryption to generate a secret key between two entities communicating with each other in a real time simulation environment such as MATLAB.... |
2201.06485 | Edgar Covantes Osuna | Edgar Covantes Osuna and Dirk Sudholt | Runtime Analysis of Restricted Tournament Selection for Bimodal
Optimisation | To appear in Evolutionary Computation Journal. arXiv admin note: text
overlap with arXiv:1803.09766 | null | 10.1162/evco_a_00292 | null | cs.NE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Niching methods have been developed to maintain the population diversity, to
investigate many peaks in parallel and to reduce the effect of genetic drift.
We present the first rigorous runtime analyses of restricted tournament
selection (RTS), embedded in a ($\mu$+1) EA, and analyse its effectiveness at
finding both ... | [
{
"created": "Mon, 17 Jan 2022 15:57:22 GMT",
"version": "v1"
}
] | 2022-01-19 | [
[
"Osuna",
"Edgar Covantes",
""
],
[
"Sudholt",
"Dirk",
""
]
] | Niching methods have been developed to maintain the population diversity, to investigate many peaks in parallel and to reduce the effect of genetic drift. We present the first rigorous runtime analyses of restricted tournament selection (RTS), embedded in a ($\mu$+1) EA, and analyse its effectiveness at finding both op... |
2105.11220 | Kissami Imad | Imad Kissami, Christophe Cerin, Fayssal Benkhaldoun, Gilles Scarella | Towards Parallel CFD computation for the ADAPT framework | null | In: Carretero J., Garcia-Blas J., Ko R., Mueller P., Nakano K.
(eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2016.
Lecture Notes in Computer Science, vol 10048. Springer, Cham | 10.1007/978-3-319-49583-5_28 | null | cs.DC | http://creativecommons.org/publicdomain/zero/1.0/ | In order to run Computational Fluid Dynamics (CFD) codes on large scale
infrastructures, parallel computing has to be used because of the computational
intensive nature of the problems. In this paper we investigate the ADAPT
platform where we couple flow Partial Differential Equations and a Poisson
equation. This lea... | [
{
"created": "Mon, 24 May 2021 11:57:58 GMT",
"version": "v1"
}
] | 2021-05-25 | [
[
"Kissami",
"Imad",
""
],
[
"Cerin",
"Christophe",
""
],
[
"Benkhaldoun",
"Fayssal",
""
],
[
"Scarella",
"Gilles",
""
]
] | In order to run Computational Fluid Dynamics (CFD) codes on large scale infrastructures, parallel computing has to be used because of the computational intensive nature of the problems. In this paper we investigate the ADAPT platform where we couple flow Partial Differential Equations and a Poisson equation. This leads... |
2309.03111 | Zachary Brei | Zachary Brei, Jonathan Michaux, Bohao Zhang, Patrick Holmes, Ram
Vasudevan | Serving Time: Real-Time, Safe Motion Planning and Control for
Manipulation of Unsecured Objects | 8 pages, 3 figures. For project page with code, videos, and
supplementary appendices, see https://roahmlab.github.io/waitr-dev/. arXiv
admin note: text overlap with arXiv:2301.13308 | null | null | null | cs.RO cs.SY eess.SY math.OC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A key challenge to ensuring the rapid transition of robotic systems from the
industrial sector to more ubiquitous applications is the development of
algorithms that can guarantee safe operation while in close proximity to
humans. Motion planning and control methods, for instance, must be able to
certify safety while ... | [
{
"created": "Wed, 6 Sep 2023 15:52:11 GMT",
"version": "v1"
}
] | 2023-09-07 | [
[
"Brei",
"Zachary",
""
],
[
"Michaux",
"Jonathan",
""
],
[
"Zhang",
"Bohao",
""
],
[
"Holmes",
"Patrick",
""
],
[
"Vasudevan",
"Ram",
""
]
] | A key challenge to ensuring the rapid transition of robotic systems from the industrial sector to more ubiquitous applications is the development of algorithms that can guarantee safe operation while in close proximity to humans. Motion planning and control methods, for instance, must be able to certify safety while op... |
cs/0208031 | Alina Andreica | Alina Andreica | Parameterized Type Definitions in Mathematica: Methods and Advantages | 14 pages | null | null | null | cs.SC | null | The theme of symbolic computation in algebraic categories has become of
utmost importance in the last decade since it enables the automatic modeling of
modern algebra theories. On this theoretical background, the present paper
reveals the utility of the parameterized categorical approach by deriving a
multivariate po... | [
{
"created": "Tue, 20 Aug 2002 13:19:42 GMT",
"version": "v1"
}
] | 2007-05-23 | [
[
"Andreica",
"Alina",
""
]
] | The theme of symbolic computation in algebraic categories has become of utmost importance in the last decade since it enables the automatic modeling of modern algebra theories. On this theoretical background, the present paper reveals the utility of the parameterized categorical approach by deriving a multivariate poly... |
1912.00700 | Alberto Marchisio | Alberto Marchisio and Vojtech Mrazek and Muhammad Abudllah Hanif and
Muhammad Shafique | ReD-CaNe: A Systematic Methodology for Resilience Analysis and Design of
Capsule Networks under Approximations | To appear at the 23rd Design, Automation and Test in Europe (DATE
2020). Grenoble, France | null | 10.23919/DATE48585.2020.9116393 | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent advances in Capsule Networks (CapsNets) have shown their superior
learning capability, compared to the traditional Convolutional Neural Networks
(CNNs). However, the extremely high complexity of CapsNets limits their fast
deployment in real-world applications. Moreover, while the resilience of CNNs
have been e... | [
{
"created": "Mon, 2 Dec 2019 11:55:46 GMT",
"version": "v1"
}
] | 2020-07-03 | [
[
"Marchisio",
"Alberto",
""
],
[
"Mrazek",
"Vojtech",
""
],
[
"Hanif",
"Muhammad Abudllah",
""
],
[
"Shafique",
"Muhammad",
""
]
] | Recent advances in Capsule Networks (CapsNets) have shown their superior learning capability, compared to the traditional Convolutional Neural Networks (CNNs). However, the extremely high complexity of CapsNets limits their fast deployment in real-world applications. Moreover, while the resilience of CNNs have been ext... |
1110.3384 | Gulshan Kumar | Gulshan Kumar and Prof. Mritunjay Kumar Rai | X-ray view on a Class using Conceptual Analysis in Java Environment | 6 pages | IJCSI International Journal of Computer Science Issues, Vol. 8,
Issue 5, No 3, September 2011 ISSN (Online): 1694-0814 | null | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Modularity is one of the most important principles in software engineering
and a necessity for every practical software. Since the design space of
software is generally quite large, it is valuable to provide automatic means to
help modularizing it. An automatic technique for software modularization is
object- oriente... | [
{
"created": "Sat, 15 Oct 2011 05:26:48 GMT",
"version": "v1"
}
] | 2011-10-18 | [
[
"Kumar",
"Gulshan",
""
],
[
"Rai",
"Prof. Mritunjay Kumar",
""
]
] | Modularity is one of the most important principles in software engineering and a necessity for every practical software. Since the design space of software is generally quite large, it is valuable to provide automatic means to help modularizing it. An automatic technique for software modularization is object- oriented ... |
2403.07015 | Rudy Semola | Rudy Semola, Julio Hurtado, Vincenzo Lomonaco, Davide Bacciu | Adaptive Hyperparameter Optimization for Continual Learning Scenarios | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Hyperparameter selection in continual learning scenarios is a challenging and
underexplored aspect, especially in practical non-stationary environments.
Traditional approaches, such as grid searches with held-out validation data
from all tasks, are unrealistic for building accurate lifelong learning
systems. This pap... | [
{
"created": "Sat, 9 Mar 2024 16:47:42 GMT",
"version": "v1"
},
{
"created": "Wed, 19 Jun 2024 15:17:51 GMT",
"version": "v2"
}
] | 2024-06-21 | [
[
"Semola",
"Rudy",
""
],
[
"Hurtado",
"Julio",
""
],
[
"Lomonaco",
"Vincenzo",
""
],
[
"Bacciu",
"Davide",
""
]
] | Hyperparameter selection in continual learning scenarios is a challenging and underexplored aspect, especially in practical non-stationary environments. Traditional approaches, such as grid searches with held-out validation data from all tasks, are unrealistic for building accurate lifelong learning systems. This paper... |
1910.07879 | Louis Duvivier | Louis Duvivier, R\'emy Cazabet, C\'eline Robardet | Minimum entropy stochastic block models neglect edge distribution
heterogeneity | null | null | 10.1007/978-3-030-36687-2_45 | null | cs.SI cs.DM math.CO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The statistical inference of stochastic block models as emerged as a
mathematicaly principled method for identifying communities inside networks.
Its objective is to find the node partition and the block-to-block adjacency
matrix of maximum likelihood i.e. the one which has most probably generated the
observed networ... | [
{
"created": "Thu, 17 Oct 2019 13:11:42 GMT",
"version": "v1"
}
] | 2020-12-17 | [
[
"Duvivier",
"Louis",
""
],
[
"Cazabet",
"Rémy",
""
],
[
"Robardet",
"Céline",
""
]
] | The statistical inference of stochastic block models as emerged as a mathematicaly principled method for identifying communities inside networks. Its objective is to find the node partition and the block-to-block adjacency matrix of maximum likelihood i.e. the one which has most probably generated the observed network.... |
1002.0937 | EPTCS | Francisco Martins (University of Lisbon), Lu\'is Lopes (University of
Porto), Jo\~ao Barros (University of Porto) | Towards the Safe Programming of Wireless Sensor Networks | null | EPTCS 17, 2010, pp. 49-62 | 10.4204/EPTCS.17.5 | null | cs.PL cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Sensor networks are rather challenging to deploy, program, and debug. Current
programming languages for these platforms suffer from a significant semantic
gap between their specifications and underlying implementations. This fact
precludes the development of (type-)safe applications, which would potentially
simplify ... | [
{
"created": "Thu, 4 Feb 2010 09:46:48 GMT",
"version": "v1"
}
] | 2010-02-05 | [
[
"Martins",
"Francisco",
"",
"University of Lisbon"
],
[
"Lopes",
"Luís",
"",
"University of\n Porto"
],
[
"Barros",
"João",
"",
"University of Porto"
]
] | Sensor networks are rather challenging to deploy, program, and debug. Current programming languages for these platforms suffer from a significant semantic gap between their specifications and underlying implementations. This fact precludes the development of (type-)safe applications, which would potentially simplify th... |
2111.10873 | Vladimir Zamdzhiev | Xiaodong Jia, Michael Mislove, Vladimir Zamdzhiev | The Central Valuations Monad | null | In Proceedings CALCO 2021 (Early Ideas Track) | 10.4230/LIPIcs.CALCO.2021.18 | null | cs.LO math.CT math.GN | http://creativecommons.org/licenses/by/4.0/ | We give a commutative valuations monad Z on the category DCPO of dcpo's and
Scott-continuous functions. Compared to the commutative valuations monads given
in [Jia et al., 2021], our new monad Z is larger and it contains all
push-forward images of valuations on the unit interval [0,1] along lower
semi-continuous maps... | [
{
"created": "Sun, 21 Nov 2021 18:33:15 GMT",
"version": "v1"
}
] | 2021-11-23 | [
[
"Jia",
"Xiaodong",
""
],
[
"Mislove",
"Michael",
""
],
[
"Zamdzhiev",
"Vladimir",
""
]
] | We give a commutative valuations monad Z on the category DCPO of dcpo's and Scott-continuous functions. Compared to the commutative valuations monads given in [Jia et al., 2021], our new monad Z is larger and it contains all push-forward images of valuations on the unit interval [0,1] along lower semi-continuous maps. ... |
2310.00074 | Hangfeng He | Hangfeng He, Hongming Zhang, Dan Roth | SocREval: Large Language Models with the Socratic Method for
Reference-Free Reasoning Evaluation | null | null | null | null | cs.CL cs.AI | http://creativecommons.org/licenses/by/4.0/ | To comprehensively gauge the capacity of current models for complex
reasoning, it is crucial to assess their step-by-step reasoning in a scalable
manner. Established reference-based evaluation metrics rely on human-annotated
reasoning chains as references to assess the model-derived chains. However,
such "gold-standa... | [
{
"created": "Fri, 29 Sep 2023 18:25:46 GMT",
"version": "v1"
},
{
"created": "Thu, 18 Apr 2024 21:53:10 GMT",
"version": "v2"
}
] | 2024-04-22 | [
[
"He",
"Hangfeng",
""
],
[
"Zhang",
"Hongming",
""
],
[
"Roth",
"Dan",
""
]
] | To comprehensively gauge the capacity of current models for complex reasoning, it is crucial to assess their step-by-step reasoning in a scalable manner. Established reference-based evaluation metrics rely on human-annotated reasoning chains as references to assess the model-derived chains. However, such "gold-standard... |
2206.13317 | Edward Henderson | Edward G. A. Henderson, Andrew F. Green, Marcel van Herk, Eliana M.
Vasquez Osorio | Automatic identification of segmentation errors for radiotherapy using
geometric learning | Accepted in 25th International Conference on Medical Image Computing
and Computer Assisted Intervention (MICCAI 2022). This preprint has not
undergone peer review or any post-submission improvements or corrections | null | null | null | cs.CV cs.AI | http://creativecommons.org/licenses/by/4.0/ | Automatic segmentation of organs-at-risk (OARs) in CT scans using
convolutional neural networks (CNNs) is being introduced into the radiotherapy
workflow. However, these segmentations still require manual editing and
approval by clinicians prior to clinical use, which can be time consuming. The
aim of this work was t... | [
{
"created": "Mon, 27 Jun 2022 14:01:52 GMT",
"version": "v1"
}
] | 2022-06-28 | [
[
"Henderson",
"Edward G. A.",
""
],
[
"Green",
"Andrew F.",
""
],
[
"van Herk",
"Marcel",
""
],
[
"Osorio",
"Eliana M. Vasquez",
""
]
] | Automatic segmentation of organs-at-risk (OARs) in CT scans using convolutional neural networks (CNNs) is being introduced into the radiotherapy workflow. However, these segmentations still require manual editing and approval by clinicians prior to clinical use, which can be time consuming. The aim of this work was to ... |
1506.00682 | Lorenzo Coviello | Lorenzo Coviello, Yiling Chen, Massimo Franceschetti | Group buying with bundle discounts: computing efficient, stable and fair
solutions | 34 pages, 3 figures, 2 tables | null | null | null | cs.GT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We model a market in which nonstrategic vendors sell items of different types
and offer bundles at discounted prices triggered by demand volumes. Each buyer
acts strategically in order to maximize her utility, given by the difference
between product valuation and price paid. Buyers report their valuations in
terms of... | [
{
"created": "Mon, 1 Jun 2015 21:36:34 GMT",
"version": "v1"
},
{
"created": "Mon, 28 Sep 2015 15:52:37 GMT",
"version": "v2"
},
{
"created": "Wed, 16 Dec 2015 16:21:42 GMT",
"version": "v3"
},
{
"created": "Thu, 17 Dec 2015 05:17:45 GMT",
"version": "v4"
},
{
"cr... | 2016-03-02 | [
[
"Coviello",
"Lorenzo",
""
],
[
"Chen",
"Yiling",
""
],
[
"Franceschetti",
"Massimo",
""
]
] | We model a market in which nonstrategic vendors sell items of different types and offer bundles at discounted prices triggered by demand volumes. Each buyer acts strategically in order to maximize her utility, given by the difference between product valuation and price paid. Buyers report their valuations in terms of r... |
1403.0522 | Ahmad Taher Azar Dr. | Ahmad Taher Azar, Aboul Ella Hassanien | Expert System Based On Neural-Fuzzy Rules for Thyroid Diseases Diagnosis | Conference Paper | null | 10.1007/978-3-642-35521-9_13 | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The thyroid, an endocrine gland that secretes hormones in the blood,
circulates its products to all tissues of the body, where they control vital
functions in every cell. Normal levels of thyroid hormone help the brain,
heart, intestines, muscles and reproductive system function normally. Thyroid
hormones control the... | [
{
"created": "Mon, 3 Mar 2014 18:50:08 GMT",
"version": "v1"
}
] | 2014-03-04 | [
[
"Azar",
"Ahmad Taher",
""
],
[
"Hassanien",
"Aboul Ella",
""
]
] | The thyroid, an endocrine gland that secretes hormones in the blood, circulates its products to all tissues of the body, where they control vital functions in every cell. Normal levels of thyroid hormone help the brain, heart, intestines, muscles and reproductive system function normally. Thyroid hormones control the m... |
2204.11368 | Mateusz Zych | Mateusz Zych and Vasileios Mavroeidis | Enhancing the STIX Representation of MITRE ATT&CK for Group Filtering
and Technique Prioritization | null | null | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we enhance the machine-readable representation of the ATT&CK
Groups knowledge base provided by MITRE in STIX 2.1 format to make available
and queryable additional types of contextual information. Such information
includes the motivations of activity groups, the countries they have originated
from, and ... | [
{
"created": "Sun, 24 Apr 2022 22:10:56 GMT",
"version": "v1"
},
{
"created": "Tue, 26 Apr 2022 13:47:50 GMT",
"version": "v2"
}
] | 2022-04-27 | [
[
"Zych",
"Mateusz",
""
],
[
"Mavroeidis",
"Vasileios",
""
]
] | In this paper, we enhance the machine-readable representation of the ATT&CK Groups knowledge base provided by MITRE in STIX 2.1 format to make available and queryable additional types of contextual information. Such information includes the motivations of activity groups, the countries they have originated from, and th... |
2203.03137 | Shiming Chen | Shiming Chen, Ziming Hong, Guo-Sen Xie, Wenhan Yang, Qinmu Peng, Kai
Wang, Jian Zhao, Xinge You | MSDN: Mutually Semantic Distillation Network for Zero-Shot Learning | Accepted to CVPR'22 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The key challenge of zero-shot learning (ZSL) is how to infer the latent
semantic knowledge between visual and attribute features on seen classes, and
thus achieving a desirable knowledge transfer to unseen classes. Prior works
either simply align the global features of an image with its associated class
semantic vec... | [
{
"created": "Mon, 7 Mar 2022 05:27:08 GMT",
"version": "v1"
},
{
"created": "Fri, 22 Apr 2022 02:05:57 GMT",
"version": "v2"
}
] | 2022-04-25 | [
[
"Chen",
"Shiming",
""
],
[
"Hong",
"Ziming",
""
],
[
"Xie",
"Guo-Sen",
""
],
[
"Yang",
"Wenhan",
""
],
[
"Peng",
"Qinmu",
""
],
[
"Wang",
"Kai",
""
],
[
"Zhao",
"Jian",
""
],
[
"You",
"Xinge",
... | The key challenge of zero-shot learning (ZSL) is how to infer the latent semantic knowledge between visual and attribute features on seen classes, and thus achieving a desirable knowledge transfer to unseen classes. Prior works either simply align the global features of an image with its associated class semantic vecto... |
2302.01497 | Buru Chang | Byounggyu Lew, Donghyun Son, Buru Chang | Gradient Estimation for Unseen Domain Risk Minimization with Pre-Trained
Models | ICCV2023 Workshop Version | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Domain generalization aims to build generalized models that perform well on
unseen domains when only source domains are available for model optimization.
Recent studies have shown that large-scale pre-trained models can enhance
domain generalization by leveraging their generalization power. However, these
pre-trained... | [
{
"created": "Fri, 3 Feb 2023 02:12:09 GMT",
"version": "v1"
},
{
"created": "Wed, 8 Feb 2023 08:02:20 GMT",
"version": "v2"
},
{
"created": "Sat, 9 Sep 2023 08:23:20 GMT",
"version": "v3"
}
] | 2023-09-12 | [
[
"Lew",
"Byounggyu",
""
],
[
"Son",
"Donghyun",
""
],
[
"Chang",
"Buru",
""
]
] | Domain generalization aims to build generalized models that perform well on unseen domains when only source domains are available for model optimization. Recent studies have shown that large-scale pre-trained models can enhance domain generalization by leveraging their generalization power. However, these pre-trained m... |
2211.08282 | T. Anderson Keller | T. Anderson Keller, Xavier Suau, Luca Zappella | Homomorphic Self-Supervised Learning | null | null | null | null | cs.LG cs.AI | http://creativecommons.org/licenses/by/4.0/ | In this work, we observe that many existing self-supervised learning
algorithms can be both unified and generalized when seen through the lens of
equivariant representations. Specifically, we introduce a general framework we
call Homomorphic Self-Supervised Learning, and theoretically show how it may
subsume the use ... | [
{
"created": "Tue, 15 Nov 2022 16:32:36 GMT",
"version": "v1"
}
] | 2022-11-16 | [
[
"Keller",
"T. Anderson",
""
],
[
"Suau",
"Xavier",
""
],
[
"Zappella",
"Luca",
""
]
] | In this work, we observe that many existing self-supervised learning algorithms can be both unified and generalized when seen through the lens of equivariant representations. Specifically, we introduce a general framework we call Homomorphic Self-Supervised Learning, and theoretically show how it may subsume the use of... |
2103.14599 | Dominik Michael Krupke | Kevin Buchin, S\'andor P. Fekete, Alexander Hill, Linda Kleist, Irina
Kostitsyna, Dominik Krupke, Roel Lambers, Martijn Struijs | Minimum Scan Cover and Variants -- Theory and Experiments | null | null | null | null | cs.CG cs.CC cs.DM math.CO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider a spectrum of geometric optimization problems motivated by
contexts such as satellite communication and astrophysics. In the problem
Minimum Scan Cover with Angular Costs, we are given a graph $G$ that is
embedded in Euclidean space. The edges of $G$ need to be scanned, i.e., probed
from both of their ver... | [
{
"created": "Fri, 26 Mar 2021 17:02:10 GMT",
"version": "v1"
}
] | 2021-03-29 | [
[
"Buchin",
"Kevin",
""
],
[
"Fekete",
"Sándor P.",
""
],
[
"Hill",
"Alexander",
""
],
[
"Kleist",
"Linda",
""
],
[
"Kostitsyna",
"Irina",
""
],
[
"Krupke",
"Dominik",
""
],
[
"Lambers",
"Roel",
""
],
[
... | We consider a spectrum of geometric optimization problems motivated by contexts such as satellite communication and astrophysics. In the problem Minimum Scan Cover with Angular Costs, we are given a graph $G$ that is embedded in Euclidean space. The edges of $G$ need to be scanned, i.e., probed from both of their verti... |
2202.09856 | Xiangnan Yin | Xiangnan Yin and Liming Chen | Non-Deterministic Face Mask Removal Based On 3D Priors | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents a novel image inpainting framework for face mask removal.
Although current methods have demonstrated their impressive ability in
recovering damaged face images, they suffer from two main problems: the
dependence on manually labeled missing regions and the deterministic result
corresponding to each... | [
{
"created": "Sun, 20 Feb 2022 16:27:44 GMT",
"version": "v1"
},
{
"created": "Thu, 3 Mar 2022 09:55:02 GMT",
"version": "v2"
}
] | 2022-03-04 | [
[
"Yin",
"Xiangnan",
""
],
[
"Chen",
"Liming",
""
]
] | This paper presents a novel image inpainting framework for face mask removal. Although current methods have demonstrated their impressive ability in recovering damaged face images, they suffer from two main problems: the dependence on manually labeled missing regions and the deterministic result corresponding to each i... |
1805.09092 | Andrea Zunino | Andrea Zunino, Sarah Adel Bargal, Pietro Morerio, Jianming Zhang, Stan
Sclaroff, Vittorio Murino | Excitation Dropout: Encouraging Plasticity in Deep Neural Networks | This work is published in the International Journal of Computer
Vision (IJCV) in 2021 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose a guided dropout regularizer for deep networks based on the
evidence of a network prediction defined as the firing of neurons in specific
paths. In this work, we utilize the evidence at each neuron to determine the
probability of dropout, rather than dropping out neurons uniformly at random as
in standard ... | [
{
"created": "Wed, 23 May 2018 12:32:41 GMT",
"version": "v1"
},
{
"created": "Fri, 24 May 2019 20:21:36 GMT",
"version": "v2"
},
{
"created": "Thu, 21 Jan 2021 18:23:30 GMT",
"version": "v3"
}
] | 2021-01-22 | [
[
"Zunino",
"Andrea",
""
],
[
"Bargal",
"Sarah Adel",
""
],
[
"Morerio",
"Pietro",
""
],
[
"Zhang",
"Jianming",
""
],
[
"Sclaroff",
"Stan",
""
],
[
"Murino",
"Vittorio",
""
]
] | We propose a guided dropout regularizer for deep networks based on the evidence of a network prediction defined as the firing of neurons in specific paths. In this work, we utilize the evidence at each neuron to determine the probability of dropout, rather than dropping out neurons uniformly at random as in standard dr... |
1002.1313 | George Amariucai | George T. Amariucai and Shuangqing Wei | Half-Duplex Active Eavesdropping in Fast Fading Channels: A Block-Markov
Wyner Secrecy Encoding Scheme | Submitted to IEEE Transactions on Information Theory | null | null | null | cs.IT cs.CR math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper we study the problem of half-duplex active eavesdropping in
fast fading channels. The active eavesdropper is a more powerful adversary than
the classical eavesdropper. It can choose between two functional modes:
eavesdropping the transmission between the legitimate parties (Ex mode), and
jamming it (Jx ... | [
{
"created": "Fri, 5 Feb 2010 21:06:07 GMT",
"version": "v1"
}
] | 2010-02-09 | [
[
"Amariucai",
"George T.",
""
],
[
"Wei",
"Shuangqing",
""
]
] | In this paper we study the problem of half-duplex active eavesdropping in fast fading channels. The active eavesdropper is a more powerful adversary than the classical eavesdropper. It can choose between two functional modes: eavesdropping the transmission between the legitimate parties (Ex mode), and jamming it (Jx mo... |
2207.13056 | Al-Akhir Nayan | Al-Akhir Nayan, Boonserm Kijsirikul, Yuji Iwahori | Coronavirus disease situation analysis and prediction using machine
learning: a study on Bangladeshi population | null | International Journal of Electrical and Computer Engineering
(IJECE), 2022 | 10.11591/ijece.v12i4.pp4217-4227 | null | cs.LG cs.AI cs.CY | http://creativecommons.org/licenses/by/4.0/ | During a pandemic, early prognostication of patient infected rates can reduce
the death by ensuring treatment facility and proper resource allocation. In
recent months, the number of death and infected rates has increased more
distinguished than before in Bangladesh. The country is struggling to provide
moderate medi... | [
{
"created": "Tue, 12 Jul 2022 09:48:41 GMT",
"version": "v1"
}
] | 2022-07-27 | [
[
"Nayan",
"Al-Akhir",
""
],
[
"Kijsirikul",
"Boonserm",
""
],
[
"Iwahori",
"Yuji",
""
]
] | During a pandemic, early prognostication of patient infected rates can reduce the death by ensuring treatment facility and proper resource allocation. In recent months, the number of death and infected rates has increased more distinguished than before in Bangladesh. The country is struggling to provide moderate medica... |
2406.12202 | Mangyu Kong | Mangyu Kong, Seongwon Lee, Jaewon Lee, Euntai Kim | Fast Global Localization on Neural Radiance Field | Preprint, Under review | null | null | null | cs.RO | http://creativecommons.org/licenses/by/4.0/ | Neural Radiance Fields (NeRF) presented a novel way to represent scenes,
allowing for high-quality 3D reconstruction from 2D images. Following its
remarkable achievements, global localization within NeRF maps is an essential
task for enabling a wide range of applications. Recently, Loc-NeRF demonstrated
a localizatio... | [
{
"created": "Tue, 18 Jun 2024 02:02:05 GMT",
"version": "v1"
}
] | 2024-06-19 | [
[
"Kong",
"Mangyu",
""
],
[
"Lee",
"Seongwon",
""
],
[
"Lee",
"Jaewon",
""
],
[
"Kim",
"Euntai",
""
]
] | Neural Radiance Fields (NeRF) presented a novel way to represent scenes, allowing for high-quality 3D reconstruction from 2D images. Following its remarkable achievements, global localization within NeRF maps is an essential task for enabling a wide range of applications. Recently, Loc-NeRF demonstrated a localization ... |
2012.03533 | Dong-Kyun Han | Dong-Kyun Han, Ji-Hoon Jeong | Domain Generalization for Session-Independent Brain-Computer Interface | Submitted IEEE The 9th International Winter Conference on
Brain-Computer Interface | null | null | null | cs.HC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The inter/intra-subject variability of electroencephalography (EEG) makes the
practical use of the brain-computer interface (BCI) difficult. In general, the
BCI system requires a calibration procedure to acquire subject/session-specific
data to tune the model every time the system is used. This problem is
recognized ... | [
{
"created": "Mon, 7 Dec 2020 08:47:42 GMT",
"version": "v1"
}
] | 2020-12-08 | [
[
"Han",
"Dong-Kyun",
""
],
[
"Jeong",
"Ji-Hoon",
""
]
] | The inter/intra-subject variability of electroencephalography (EEG) makes the practical use of the brain-computer interface (BCI) difficult. In general, the BCI system requires a calibration procedure to acquire subject/session-specific data to tune the model every time the system is used. This problem is recognized as... |
2107.14641 | Wout S. Lamers | Wout S. Lamers (1), Kevin Boyack (2), Vincent Larivi\`ere (3), Cassidy
R. Sugimoto (4), Nees Jan van Eck (1), Ludo Waltman (1), Dakota Murray (4)
((1) Centre for Science and Technology Studies, Leiden University, Leiden,
Netherlands, (2) SciTech Strategies, Inc., Albuquerque, NM, USA, (3) \'Ecole
de biblioth\'e... | Investigating Disagreement in the Scientific Literature | 49 pages, 10 figures | null | null | null | cs.DL cs.CL | http://creativecommons.org/licenses/by/4.0/ | Disagreement is essential to scientific progress. However, the extent of
disagreement in science, its evolution over time, and the fields in which it
happens, remains poorly understood. Leveraging a massive collection of
English-language scientific texts, we develop a cue-phrase based approach to
identify instances o... | [
{
"created": "Fri, 30 Jul 2021 14:07:34 GMT",
"version": "v1"
},
{
"created": "Wed, 27 Oct 2021 21:53:51 GMT",
"version": "v2"
}
] | 2021-10-29 | [
[
"Lamers",
"Wout S.",
""
],
[
"Boyack",
"Kevin",
""
],
[
"Larivière",
"Vincent",
""
],
[
"Sugimoto",
"Cassidy R.",
""
],
[
"van Eck",
"Nees Jan",
""
],
[
"Waltman",
"Ludo",
""
],
[
"Murray",
"Dakota",
""
]... | Disagreement is essential to scientific progress. However, the extent of disagreement in science, its evolution over time, and the fields in which it happens, remains poorly understood. Leveraging a massive collection of English-language scientific texts, we develop a cue-phrase based approach to identify instances of ... |
2309.15329 | Zekai Liang | Shreya Saha, Zekai Liang, Shan Lin, Jingpei Lu, Michael Yip, Sainan
Liu | BASED: Bundle-Adjusting Surgical Endoscopic Dynamic Video Reconstruction
using Neural Radiance Fields | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Reconstruction of deformable scenes from endoscopic videos is important for
many applications such as intraoperative navigation, surgical visual
perception, and robotic surgery. It is a foundational requirement for realizing
autonomous robotic interventions for minimally invasive surgery. However,
previous approaches... | [
{
"created": "Wed, 27 Sep 2023 00:20:36 GMT",
"version": "v1"
},
{
"created": "Tue, 6 Aug 2024 19:51:49 GMT",
"version": "v2"
}
] | 2024-08-08 | [
[
"Saha",
"Shreya",
""
],
[
"Liang",
"Zekai",
""
],
[
"Lin",
"Shan",
""
],
[
"Lu",
"Jingpei",
""
],
[
"Yip",
"Michael",
""
],
[
"Liu",
"Sainan",
""
]
] | Reconstruction of deformable scenes from endoscopic videos is important for many applications such as intraoperative navigation, surgical visual perception, and robotic surgery. It is a foundational requirement for realizing autonomous robotic interventions for minimally invasive surgery. However, previous approaches i... |
2301.04378 | Di Wang | Di Wang, Junzhi Shi, Pingping Wang, Shuo Zhuang, Hongyue Li | Loss-Controlling Calibration for Predictive Models | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose a learning framework for calibrating predictive models to make
loss-controlling prediction for exchangeable data, which extends our recently
proposed conformal loss-controlling prediction for more general cases. By
comparison, the predictors built by the proposed loss-controlling approach are
not limited t... | [
{
"created": "Wed, 11 Jan 2023 09:44:55 GMT",
"version": "v1"
},
{
"created": "Sat, 4 Feb 2023 10:01:35 GMT",
"version": "v2"
},
{
"created": "Tue, 23 Jan 2024 01:56:09 GMT",
"version": "v3"
}
] | 2024-01-24 | [
[
"Wang",
"Di",
""
],
[
"Shi",
"Junzhi",
""
],
[
"Wang",
"Pingping",
""
],
[
"Zhuang",
"Shuo",
""
],
[
"Li",
"Hongyue",
""
]
] | We propose a learning framework for calibrating predictive models to make loss-controlling prediction for exchangeable data, which extends our recently proposed conformal loss-controlling prediction for more general cases. By comparison, the predictors built by the proposed loss-controlling approach are not limited to ... |
1408.2214 | Mikhail Ivanov | Mikhail Ivanov, Christian H\"ager, Fredrik Br\"annstr\"om, Alexandre
Graell i Amat, Alex Alvarado, and Erik Agrell | On the Information Loss of the Max-Log Approximation in BICM Systems | null | IEEE Transactions on Information Theory, vol. 62, no. 6, pp.
3011-3025, June 2016 | 10.1109/TIT.2016.2543740 | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a comprehensive study of the information rate loss of the max-log
approximation for $M$-ary pulse-amplitude modulation (PAM) in a bit-interleaved
coded modulation (BICM) system. It is widely assumed that the calculation of
L-values using the max-log approximation leads to an information loss. We prove
that... | [
{
"created": "Sun, 10 Aug 2014 11:53:19 GMT",
"version": "v1"
},
{
"created": "Thu, 21 Jan 2016 14:31:05 GMT",
"version": "v2"
}
] | 2024-01-25 | [
[
"Ivanov",
"Mikhail",
""
],
[
"Häger",
"Christian",
""
],
[
"Brännström",
"Fredrik",
""
],
[
"Amat",
"Alexandre Graell i",
""
],
[
"Alvarado",
"Alex",
""
],
[
"Agrell",
"Erik",
""
]
] | We present a comprehensive study of the information rate loss of the max-log approximation for $M$-ary pulse-amplitude modulation (PAM) in a bit-interleaved coded modulation (BICM) system. It is widely assumed that the calculation of L-values using the max-log approximation leads to an information loss. We prove that t... |
1606.00503 | EPTCS | Vignir Gudmundsson (ICE-TCS, School of Computer Science, Reykjavik
University), Mikael Lindvall (Fraunhofer CESE), Luca Aceto (ICE-TCS, School
of Computer Science, Reykjavik University), Johann Bergthorsson (Plain
Vanilla Games), Dharmalingam Ganesan (Fraunhofer CESE) | Model-based Testing of Mobile Systems -- An Empirical Study on QuizUp
Android App | In Proceedings PrePost 2016, arXiv:1605.08096 | EPTCS 208, 2016, pp. 16-30 | 10.4204/EPTCS.208.2 | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present an empirical study in which model-based testing (MBT) was applied
to a mobile system: the Android client of QuizUp, the largest mobile trivia
game in the world. The study shows that traditional MBT approaches based on
extended finite-state machines can be used to test a mobile app in an effective
and effic... | [
{
"created": "Wed, 1 Jun 2016 23:59:12 GMT",
"version": "v1"
}
] | 2016-06-03 | [
[
"Gudmundsson",
"Vignir",
"",
"ICE-TCS, School of Computer Science, Reykjavik\n University"
],
[
"Lindvall",
"Mikael",
"",
"Fraunhofer CESE"
],
[
"Aceto",
"Luca",
"",
"ICE-TCS, School\n of Computer Science, Reykjavik University"
],
[
"Bergthorsson",... | We present an empirical study in which model-based testing (MBT) was applied to a mobile system: the Android client of QuizUp, the largest mobile trivia game in the world. The study shows that traditional MBT approaches based on extended finite-state machines can be used to test a mobile app in an effective and efficie... |
2308.02673 | Ender Ayanoglu | Dogan Kutay Pekcan and Ender Ayanoglu | Comments on "A Linear Time Algorithm for the Optimal Discrete IRS
Beamforming" | 8 pages, 1 figure | null | null | null | cs.IT math.IT | http://creativecommons.org/licenses/by/4.0/ | The problem of optimizing discrete phases in a reconfigurable intelligent
surface (RIS) to maximize the received power at a user equipment is addressed.
Comments on [1] are provided. Updated necessary and sufficient conditions for
its Lemma 1 are given. Consequently, an updated Algorithm 1 is provided with
full speci... | [
{
"created": "Fri, 4 Aug 2023 19:14:28 GMT",
"version": "v1"
},
{
"created": "Sat, 7 Oct 2023 00:58:57 GMT",
"version": "v2"
},
{
"created": "Wed, 18 Oct 2023 12:12:16 GMT",
"version": "v3"
}
] | 2023-10-19 | [
[
"Pekcan",
"Dogan Kutay",
""
],
[
"Ayanoglu",
"Ender",
""
]
] | The problem of optimizing discrete phases in a reconfigurable intelligent surface (RIS) to maximize the received power at a user equipment is addressed. Comments on [1] are provided. Updated necessary and sufficient conditions for its Lemma 1 are given. Consequently, an updated Algorithm 1 is provided with full specifi... |
1608.05117 | Saeed Mohajeryami | Saeed Mohajeryami | An Investigation of Randomized Controlled Trial (RCT) Method as a
Customer Baseline Load (CBL) Calculation for Residential Customers | null | null | null | null | cs.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | FERC Order 745 allows demand response owners to sell their load reduction in
the wholesale market. However, in order to be able to sell the load reduction,
some implementation challenges must be addressed, one of which is to establish
Customer Baseline Load (CBL) calculation methods with acceptable error
performance,... | [
{
"created": "Wed, 17 Aug 2016 22:16:26 GMT",
"version": "v1"
}
] | 2016-08-19 | [
[
"Mohajeryami",
"Saeed",
""
]
] | FERC Order 745 allows demand response owners to sell their load reduction in the wholesale market. However, in order to be able to sell the load reduction, some implementation challenges must be addressed, one of which is to establish Customer Baseline Load (CBL) calculation methods with acceptable error performance, w... |
cs/0612096 | David N. Levin | David N. Levin | Using state space differential geometry for nonlinear blind source
separation | Contains 14 pages and 3 figures. For related papers, see
http://www.geocities.com/dlevin2001/ . New version is identical to original
version except for URL in the byline | Journal of Applied Physics 103, 044906 (2008) | 10.1063/1.2826943 | null | cs.LG cs.SD | null | Given a time series of multicomponent measurements of an evolving stimulus,
nonlinear blind source separation (BSS) seeks to find a "source" time series,
comprised of statistically independent combinations of the measured components.
In this paper, we seek a source time series with local velocity cross
correlations t... | [
{
"created": "Tue, 19 Dec 2006 22:32:18 GMT",
"version": "v1"
}
] | 2009-11-11 | [
[
"Levin",
"David N.",
""
]
] | Given a time series of multicomponent measurements of an evolving stimulus, nonlinear blind source separation (BSS) seeks to find a "source" time series, comprised of statistically independent combinations of the measured components. In this paper, we seek a source time series with local velocity cross correlations tha... |
2304.04228 | Cong Wang | Yanru Xiao, Cong Wang, Xing Gao | Unsupervised Multi-Criteria Adversarial Detection in Deep Image
Retrieval | null | null | null | null | cs.CV cs.IR | http://creativecommons.org/licenses/by/4.0/ | The vulnerability in the algorithm supply chain of deep learning has imposed
new challenges to image retrieval systems in the downstream. Among a variety of
techniques, deep hashing is gaining popularity. As it inherits the algorithmic
backend from deep learning, a handful of attacks are recently proposed to
disrupt ... | [
{
"created": "Sun, 9 Apr 2023 12:46:35 GMT",
"version": "v1"
}
] | 2023-04-11 | [
[
"Xiao",
"Yanru",
""
],
[
"Wang",
"Cong",
""
],
[
"Gao",
"Xing",
""
]
] | The vulnerability in the algorithm supply chain of deep learning has imposed new challenges to image retrieval systems in the downstream. Among a variety of techniques, deep hashing is gaining popularity. As it inherits the algorithmic backend from deep learning, a handful of attacks are recently proposed to disrupt no... |
1801.01708 | Olivier Gouvert | Olivier Gouvert, Thomas Oberlin and C\'edric F\'evotte | Negative Binomial Matrix Factorization for Recommender Systems | null | null | null | null | cs.LG cs.IR stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We introduce negative binomial matrix factorization (NBMF), a matrix
factorization technique specially designed for analyzing over-dispersed count
data. It can be viewed as an extension of Poisson matrix factorization (PF)
perturbed by a multiplicative term which models exposure. This term brings a
degree of freedom ... | [
{
"created": "Fri, 5 Jan 2018 11:00:46 GMT",
"version": "v1"
}
] | 2018-01-08 | [
[
"Gouvert",
"Olivier",
""
],
[
"Oberlin",
"Thomas",
""
],
[
"Févotte",
"Cédric",
""
]
] | We introduce negative binomial matrix factorization (NBMF), a matrix factorization technique specially designed for analyzing over-dispersed count data. It can be viewed as an extension of Poisson matrix factorization (PF) perturbed by a multiplicative term which models exposure. This term brings a degree of freedom fo... |
1801.03603 | Wenliang Chen | Zhengqiu He and Wenliang Chen and Zhenghua Li and Meishan Zhang and
Wei Zhang and Min Zhang | SEE: Syntax-aware Entity Embedding for Neural Relation Extraction | 8 pages, AAAI-2018 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Distant supervised relation extraction is an efficient approach to scale
relation extraction to very large corpora, and has been widely used to find
novel relational facts from plain text. Recent studies on neural relation
extraction have shown great progress on this task via modeling the sentences in
low-dimensional... | [
{
"created": "Thu, 11 Jan 2018 01:16:13 GMT",
"version": "v1"
}
] | 2018-01-12 | [
[
"He",
"Zhengqiu",
""
],
[
"Chen",
"Wenliang",
""
],
[
"Li",
"Zhenghua",
""
],
[
"Zhang",
"Meishan",
""
],
[
"Zhang",
"Wei",
""
],
[
"Zhang",
"Min",
""
]
] | Distant supervised relation extraction is an efficient approach to scale relation extraction to very large corpora, and has been widely used to find novel relational facts from plain text. Recent studies on neural relation extraction have shown great progress on this task via modeling the sentences in low-dimensional s... |
1503.03187 | Wen-Ze Shao | Wen-Ze Shao, Michael Elad | Simple, Accurate, and Robust Nonparametric Blind Super-Resolution | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper proposes a simple, accurate, and robust approach to single image
nonparametric blind Super-Resolution (SR). This task is formulated as a
functional to be minimized with respect to both an intermediate super-resolved
image and a nonparametric blur-kernel. The proposed approach includes a
convolution consist... | [
{
"created": "Wed, 11 Mar 2015 06:21:39 GMT",
"version": "v1"
},
{
"created": "Mon, 16 Mar 2015 10:12:07 GMT",
"version": "v2"
}
] | 2015-03-17 | [
[
"Shao",
"Wen-Ze",
""
],
[
"Elad",
"Michael",
""
]
] | This paper proposes a simple, accurate, and robust approach to single image nonparametric blind Super-Resolution (SR). This task is formulated as a functional to be minimized with respect to both an intermediate super-resolved image and a nonparametric blur-kernel. The proposed approach includes a convolution consisten... |
1705.04016 | Kevin Moran P | Kevin Moran, Mario Linares-V\'asquez, Carlos Bernal-C\'ardenas, Denys
Poshyvanyk | Auto-completing Bug Reports for Android Applications | ESEC/FSE 2015 10th Joint Meeting on Foundations of Software
Engineering, 14 pages | null | 10.1145/2786805.2786857 | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The modern software development landscape has seen a shift in focus toward
mobile applications as tablets and smartphones near ubiquitous adoption. Due to
this trend, the complexity of these apps has been increasing, making
development and maintenance challenging. Additionally, current bug tracking
systems are not ab... | [
{
"created": "Thu, 11 May 2017 04:51:19 GMT",
"version": "v1"
}
] | 2017-05-12 | [
[
"Moran",
"Kevin",
""
],
[
"Linares-Vásquez",
"Mario",
""
],
[
"Bernal-Cárdenas",
"Carlos",
""
],
[
"Poshyvanyk",
"Denys",
""
]
] | The modern software development landscape has seen a shift in focus toward mobile applications as tablets and smartphones near ubiquitous adoption. Due to this trend, the complexity of these apps has been increasing, making development and maintenance challenging. Additionally, current bug tracking systems are not able... |
1607.04775 | Aviad Elyashar | Aviad Elyashar | The Security of Organizations and Individuals in Online Social Networks | null | null | null | null | cs.SI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The serious privacy and security problems related to online social networks
(OSNs) are what fueled two complementary studies as part of this thesis. In the
first study, we developed a general algorithm for the mining of data of
targeted organizations by using Facebook (currently the most popular OSN) and
socialbots. ... | [
{
"created": "Sat, 16 Jul 2016 17:48:52 GMT",
"version": "v1"
},
{
"created": "Tue, 19 Jul 2016 19:26:48 GMT",
"version": "v2"
}
] | 2016-07-20 | [
[
"Elyashar",
"Aviad",
""
]
] | The serious privacy and security problems related to online social networks (OSNs) are what fueled two complementary studies as part of this thesis. In the first study, we developed a general algorithm for the mining of data of targeted organizations by using Facebook (currently the most popular OSN) and socialbots. By... |
2406.19394 | Jianghang Lin | Liujuan Cao, Jianghang Lin, Zebo Hong, Yunhang Shen, Shaohui Lin, Chao
Chen, Rongrong Ji | HUWSOD: Holistic Self-training for Unified Weakly Supervised Object
Detection | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Most WSOD methods rely on traditional object proposals to generate candidate
regions and are confronted with unstable training, which easily gets stuck in a
poor local optimum. In this paper, we introduce a unified, high-capacity weakly
supervised object detection (WSOD) network called HUWSOD, which utilizes a
compre... | [
{
"created": "Thu, 27 Jun 2024 17:59:49 GMT",
"version": "v1"
}
] | 2024-06-28 | [
[
"Cao",
"Liujuan",
""
],
[
"Lin",
"Jianghang",
""
],
[
"Hong",
"Zebo",
""
],
[
"Shen",
"Yunhang",
""
],
[
"Lin",
"Shaohui",
""
],
[
"Chen",
"Chao",
""
],
[
"Ji",
"Rongrong",
""
]
] | Most WSOD methods rely on traditional object proposals to generate candidate regions and are confronted with unstable training, which easily gets stuck in a poor local optimum. In this paper, we introduce a unified, high-capacity weakly supervised object detection (WSOD) network called HUWSOD, which utilizes a comprehe... |
1505.05405 | Laurent Schmalen | Laurent Schmalen, Detlef Suikat, Detlef R\"osener, Vahid Aref, Andreas
Leven, Stephan ten Brink | Spatially Coupled Codes and Optical Fiber Communications: An Ideal
Match? | Invited paper to be presented in the special session on "Signal
Processing, Coding, and Information Theory for Optical Communications" at
IEEE SPAWC 2015 | null | 10.1109/SPAWC.2015.7227080 | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper, we highlight the class of spatially coupled codes and discuss
their applicability to long-haul and submarine optical communication systems.
We first demonstrate how to optimize irregular spatially coupled LDPC codes for
their use in optical communications with limited decoding hardware complexity
and t... | [
{
"created": "Wed, 20 May 2015 14:45:41 GMT",
"version": "v1"
}
] | 2016-06-03 | [
[
"Schmalen",
"Laurent",
""
],
[
"Suikat",
"Detlef",
""
],
[
"Rösener",
"Detlef",
""
],
[
"Aref",
"Vahid",
""
],
[
"Leven",
"Andreas",
""
],
[
"Brink",
"Stephan ten",
""
]
] | In this paper, we highlight the class of spatially coupled codes and discuss their applicability to long-haul and submarine optical communication systems. We first demonstrate how to optimize irregular spatially coupled LDPC codes for their use in optical communications with limited decoding hardware complexity and the... |
2212.03038 | Orcun Cetintas | Orcun Cetintas, Guillem Bras\'o, Laura Leal-Taix\'e | Unifying Short and Long-Term Tracking with Graph Hierarchies | CVPR 2023 | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Tracking objects over long videos effectively means solving a spectrum of
problems, from short-term association for un-occluded objects to long-term
association for objects that are occluded and then reappear in the scene.
Methods tackling these two tasks are often disjoint and crafted for specific
scenarios, and top... | [
{
"created": "Tue, 6 Dec 2022 15:12:53 GMT",
"version": "v1"
},
{
"created": "Thu, 30 Mar 2023 13:47:25 GMT",
"version": "v2"
}
] | 2023-03-31 | [
[
"Cetintas",
"Orcun",
""
],
[
"Brasó",
"Guillem",
""
],
[
"Leal-Taixé",
"Laura",
""
]
] | Tracking objects over long videos effectively means solving a spectrum of problems, from short-term association for un-occluded objects to long-term association for objects that are occluded and then reappear in the scene. Methods tackling these two tasks are often disjoint and crafted for specific scenarios, and top-p... |
2401.13076 | Mingyang Li | Mingyang Li, Yue Ma, and Qinru Qiu | SemanticSLAM: Learning based Semantic Map Construction and Robust Camera
Localization | 2023 IEEE Symposium Series on Computational Intelligence (SSCI) 6
pages | 2023 IEEE Symposium Series on Computational Intelligence (SSCI) | null | null | cs.RO cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Current techniques in Visual Simultaneous Localization and Mapping (VSLAM)
estimate camera displacement by comparing image features of consecutive scenes.
These algorithms depend on scene continuity, hence requires frequent camera
inputs. However, processing images frequently can lead to significant memory
usage and ... | [
{
"created": "Tue, 23 Jan 2024 20:02:02 GMT",
"version": "v1"
}
] | 2024-01-25 | [
[
"Li",
"Mingyang",
""
],
[
"Ma",
"Yue",
""
],
[
"Qiu",
"Qinru",
""
]
] | Current techniques in Visual Simultaneous Localization and Mapping (VSLAM) estimate camera displacement by comparing image features of consecutive scenes. These algorithms depend on scene continuity, hence requires frequent camera inputs. However, processing images frequently can lead to significant memory usage and co... |
2403.01024 | Abbas Hussein | A.H.Abbas and Ivan S.Maksymov | Reservoir Computing Using Measurement-Controlled Quantum Dynamics | null | null | null | null | cs.NE cs.AI quant-ph | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Physical reservoir computing (RC) is a machine learning algorithm that
employs the dynamics of a physical system to forecast highly nonlinear and
chaotic phenomena. In this paper, we introduce a quantum RC system that employs
the dynamics of a probed atom in a cavity. The atom experiences coherent
driving at a partic... | [
{
"created": "Fri, 1 Mar 2024 22:59:41 GMT",
"version": "v1"
}
] | 2024-03-05 | [
[
"Abbas",
"A. H.",
""
],
[
"Maksymov",
"Ivan S.",
""
]
] | Physical reservoir computing (RC) is a machine learning algorithm that employs the dynamics of a physical system to forecast highly nonlinear and chaotic phenomena. In this paper, we introduce a quantum RC system that employs the dynamics of a probed atom in a cavity. The atom experiences coherent driving at a particul... |
1506.03775 | Prakhar Biyani | Prakhar Biyani, Cornelia Caragea, Narayan Bhamidipati | Entity-Specific Sentiment Classification of Yahoo News Comments | null | null | null | null | cs.CL cs.IR cs.SI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Sentiment classification is widely used for product reviews and in online
social media such as forums, Twitter, and blogs. However, the problem of
classifying the sentiment of user comments on news sites has not been addressed
yet. News sites cover a wide range of domains including politics, sports,
technology, and e... | [
{
"created": "Thu, 11 Jun 2015 18:53:56 GMT",
"version": "v1"
}
] | 2015-06-12 | [
[
"Biyani",
"Prakhar",
""
],
[
"Caragea",
"Cornelia",
""
],
[
"Bhamidipati",
"Narayan",
""
]
] | Sentiment classification is widely used for product reviews and in online social media such as forums, Twitter, and blogs. However, the problem of classifying the sentiment of user comments on news sites has not been addressed yet. News sites cover a wide range of domains including politics, sports, technology, and ent... |
2406.01150 | Ling Pan | Haoran He and Can Chang and Huazhe Xu and Ling Pan | Looking Backward: Retrospective Backward Synthesis for Goal-Conditioned
GFlowNets | null | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Generative Flow Networks (GFlowNets) are amortized sampling methods for
learning a stochastic policy to sequentially generate compositional objects
with probabilities proportional to their rewards. GFlowNets exhibit a
remarkable ability to generate diverse sets of high-reward objects, in contrast
to standard return m... | [
{
"created": "Mon, 3 Jun 2024 09:44:10 GMT",
"version": "v1"
}
] | 2024-06-04 | [
[
"He",
"Haoran",
""
],
[
"Chang",
"Can",
""
],
[
"Xu",
"Huazhe",
""
],
[
"Pan",
"Ling",
""
]
] | Generative Flow Networks (GFlowNets) are amortized sampling methods for learning a stochastic policy to sequentially generate compositional objects with probabilities proportional to their rewards. GFlowNets exhibit a remarkable ability to generate diverse sets of high-reward objects, in contrast to standard return max... |
1701.05034 | Keehang Kwon | Keehang Kwon and Daeseong Kang | Local Modules in Imperative Languages | 5 pages. A high-level statement for allocating and deallocating heap
objects is described and a constructive module language is also described | null | null | null | cs.PL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose a notion of local modules for imperative langauges. To be
specific, we introduce a new implication statement of the form $D \supset G$
where $D$ is a module (i.e., a set of procedure declarations) and $G$ is a
statement. This statement tells the machine to add $D$ to the program in the
course of executing ... | [
{
"created": "Wed, 18 Jan 2017 12:26:19 GMT",
"version": "v1"
},
{
"created": "Wed, 28 Jun 2017 03:23:16 GMT",
"version": "v2"
},
{
"created": "Wed, 11 Oct 2017 04:46:27 GMT",
"version": "v3"
},
{
"created": "Thu, 19 Oct 2017 06:12:27 GMT",
"version": "v4"
}
] | 2017-10-20 | [
[
"Kwon",
"Keehang",
""
],
[
"Kang",
"Daeseong",
""
]
] | We propose a notion of local modules for imperative langauges. To be specific, we introduce a new implication statement of the form $D \supset G$ where $D$ is a module (i.e., a set of procedure declarations) and $G$ is a statement. This statement tells the machine to add $D$ to the program in the course of executing $G... |
1209.5807 | Urs Niesen | Mohammad Ali Maddah-Ali and Urs Niesen | Fundamental Limits of Caching | To appear in IEEE Transactions on Information Theory | IEEE Transactions on Information Theory, vol. 60, pp. 2856 - 2867,
May 2014 | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Caching is a technique to reduce peak traffic rates by prefetching popular
content into memories at the end users. Conventionally, these memories are used
to deliver requested content in part from a locally cached copy rather than
through the network. The gain offered by this approach, which we term local
caching gai... | [
{
"created": "Wed, 26 Sep 2012 01:23:41 GMT",
"version": "v1"
},
{
"created": "Thu, 6 Feb 2014 21:56:23 GMT",
"version": "v2"
}
] | 2014-05-06 | [
[
"Maddah-Ali",
"Mohammad Ali",
""
],
[
"Niesen",
"Urs",
""
]
] | Caching is a technique to reduce peak traffic rates by prefetching popular content into memories at the end users. Conventionally, these memories are used to deliver requested content in part from a locally cached copy rather than through the network. The gain offered by this approach, which we term local caching gain,... |
1901.05741 | Chenyu Huang | Chenyu Huang, Zeyu Wang, Huangxun Chen, Qiwei Hu, Qian Zhang, Wei
Wang, Xia Guan | RepChain: A Reputation-based Secure, Fast and High Incentive Blockchain
System via Sharding | null | null | null | null | cs.CR cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In today's blockchain system, designing a secure and high throughput
blockchain on par with a centralized payment system is a difficult task.
Sharding is one of the most worthwhile emerging technologies for improving the
system throughput while maintain high security level. However, previous
sharding related designs ... | [
{
"created": "Thu, 17 Jan 2019 11:49:31 GMT",
"version": "v1"
},
{
"created": "Fri, 7 Feb 2020 05:11:09 GMT",
"version": "v2"
}
] | 2020-02-10 | [
[
"Huang",
"Chenyu",
""
],
[
"Wang",
"Zeyu",
""
],
[
"Chen",
"Huangxun",
""
],
[
"Hu",
"Qiwei",
""
],
[
"Zhang",
"Qian",
""
],
[
"Wang",
"Wei",
""
],
[
"Guan",
"Xia",
""
]
] | In today's blockchain system, designing a secure and high throughput blockchain on par with a centralized payment system is a difficult task. Sharding is one of the most worthwhile emerging technologies for improving the system throughput while maintain high security level. However, previous sharding related designs ha... |
2103.16115 | Tiange Xiang | Tiange Xiang, Hongliang Yuan, Haozhi Huang, Yujin Shi | Two-Stage Monte Carlo Denoising with Adaptive Sampling and Kernel Pool | null | null | null | null | cs.CV cs.GR | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Monte Carlo path tracer renders noisy image sequences at low sampling counts.
Although great progress has been made on denoising such sequences, existing
methods still suffer from spatial and temporary artifacts. In this paper, we
tackle the problems in Monte Carlo rendering by proposing a two-stage denoiser
based on... | [
{
"created": "Tue, 30 Mar 2021 07:05:55 GMT",
"version": "v1"
}
] | 2021-03-31 | [
[
"Xiang",
"Tiange",
""
],
[
"Yuan",
"Hongliang",
""
],
[
"Huang",
"Haozhi",
""
],
[
"Shi",
"Yujin",
""
]
] | Monte Carlo path tracer renders noisy image sequences at low sampling counts. Although great progress has been made on denoising such sequences, existing methods still suffer from spatial and temporary artifacts. In this paper, we tackle the problems in Monte Carlo rendering by proposing a two-stage denoiser based on t... |
2009.07119 | Sidik Soleman | Miftahul Mahfuzh, Sidik Soleman, Ayu Purwarianti | Improving Joint Layer RNN based Keyphrase Extraction by Using
Syntactical Features | 6 pages | 2019 International Conference of Advanced Informatics: Concepts,
Theory and Applications (ICAICTA) | 10.1109/ICAICTA.2019.8904194 | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Keyphrase extraction as a task to identify important words or phrases from a
text, is a crucial process to identify main topics when analyzing texts from a
social media platform. In our study, we focus on text written in Indonesia
language taken from Twitter. Different from the original joint layer recurrent
neural n... | [
{
"created": "Tue, 15 Sep 2020 14:20:04 GMT",
"version": "v1"
}
] | 2020-09-16 | [
[
"Mahfuzh",
"Miftahul",
""
],
[
"Soleman",
"Sidik",
""
],
[
"Purwarianti",
"Ayu",
""
]
] | Keyphrase extraction as a task to identify important words or phrases from a text, is a crucial process to identify main topics when analyzing texts from a social media platform. In our study, we focus on text written in Indonesia language taken from Twitter. Different from the original joint layer recurrent neural net... |
2402.19472 | Vishaal Udandarao | Ameya Prabhu, Vishaal Udandarao, Philip Torr, Matthias Bethge, Adel
Bibi, Samuel Albanie | Lifelong Benchmarks: Efficient Model Evaluation in an Era of Rapid
Progress | null | null | null | null | cs.LG cs.CV | http://creativecommons.org/licenses/by/4.0/ | Standardized benchmarks drive progress in machine learning. However, with
repeated testing, the risk of overfitting grows as algorithms over-exploit
benchmark idiosyncrasies. In our work, we seek to mitigate this challenge by
compiling ever-expanding large-scale benchmarks called Lifelong Benchmarks. As
exemplars of ... | [
{
"created": "Thu, 29 Feb 2024 18:58:26 GMT",
"version": "v1"
}
] | 2024-03-01 | [
[
"Prabhu",
"Ameya",
""
],
[
"Udandarao",
"Vishaal",
""
],
[
"Torr",
"Philip",
""
],
[
"Bethge",
"Matthias",
""
],
[
"Bibi",
"Adel",
""
],
[
"Albanie",
"Samuel",
""
]
] | Standardized benchmarks drive progress in machine learning. However, with repeated testing, the risk of overfitting grows as algorithms over-exploit benchmark idiosyncrasies. In our work, we seek to mitigate this challenge by compiling ever-expanding large-scale benchmarks called Lifelong Benchmarks. As exemplars of ou... |
cs/0602003 | Subhash Kak | Navneet Mandhani and Subhash Kak | Watermarking Using Decimal Sequences | 8 pages, 9 figures | Cryptologia, vol. 29, pp. 50-58, 2005 | null | null | cs.CR | null | This paper introduces the use of decimal sequences in a code division
multiple access (CDMA) based watermarking system to hide information for
authentication in black and white images. Matlab version 6.5 was used to
implement the algorithms discussed in this paper. The advantage of using
d-sequences over PN sequences... | [
{
"created": "Thu, 2 Feb 2006 19:43:11 GMT",
"version": "v1"
}
] | 2007-05-23 | [
[
"Mandhani",
"Navneet",
""
],
[
"Kak",
"Subhash",
""
]
] | This paper introduces the use of decimal sequences in a code division multiple access (CDMA) based watermarking system to hide information for authentication in black and white images. Matlab version 6.5 was used to implement the algorithms discussed in this paper. The advantage of using d-sequences over PN sequences i... |
cs/0405059 | M. Benjamin Leveque | Benjamin L\'ev\^eque (Leibniz - IMAG), Fr\'ed\'eric Maffray (Leibniz -
IMAG) | Erratum : MCColor is not optimal on Meyniel graphs | null | null | null | null | cs.DM math.CO | null | A Meyniel graph is a graph in which every odd cycle of length at least five
has two chords. In the manuscript "Coloring Meyniel graphs in linear time" we
claimed that our algorithm MCColor produces an optimal coloring for every
Meyniel graph. But later we found a mistake in the proof and a couterexample to
the optima... | [
{
"created": "Mon, 17 May 2004 14:04:47 GMT",
"version": "v1"
},
{
"created": "Mon, 18 Apr 2005 05:40:46 GMT",
"version": "v2"
},
{
"created": "Thu, 15 Dec 2005 09:33:50 GMT",
"version": "v3"
},
{
"created": "Mon, 9 Jan 2006 20:03:23 GMT",
"version": "v4"
}
] | 2016-08-16 | [
[
"Lévêque",
"Benjamin",
"",
"Leibniz - IMAG"
],
[
"Maffray",
"Frédéric",
"",
"Leibniz -\n IMAG"
]
] | A Meyniel graph is a graph in which every odd cycle of length at least five has two chords. In the manuscript "Coloring Meyniel graphs in linear time" we claimed that our algorithm MCColor produces an optimal coloring for every Meyniel graph. But later we found a mistake in the proof and a couterexample to the optimali... |
1801.00338 | Seyed-Vahid Sanei-Mehri | Seyed-Vahid Sanei-Mehri, Ahmet Erdem Sariyuce, Srikanta Tirthapura | Butterfly Counting in Bipartite Networks | 28 pages, 5 tables, 6 figures | null | null | null | cs.DM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider the problem of counting motifs in bipartite affiliation networks,
such as author-paper, user-product, and actor-movie relations. We focus on
counting the number of occurrences of a "butterfly", a complete $2 \times 2$
biclique, the simplest cohesive higher-order structure in a bipartite graph.
Our main co... | [
{
"created": "Sun, 31 Dec 2017 18:55:45 GMT",
"version": "v1"
},
{
"created": "Wed, 3 Jan 2018 04:00:16 GMT",
"version": "v2"
},
{
"created": "Tue, 13 Mar 2018 18:03:39 GMT",
"version": "v3"
},
{
"created": "Thu, 15 Mar 2018 21:16:52 GMT",
"version": "v4"
}
] | 2018-03-19 | [
[
"Sanei-Mehri",
"Seyed-Vahid",
""
],
[
"Sariyuce",
"Ahmet Erdem",
""
],
[
"Tirthapura",
"Srikanta",
""
]
] | We consider the problem of counting motifs in bipartite affiliation networks, such as author-paper, user-product, and actor-movie relations. We focus on counting the number of occurrences of a "butterfly", a complete $2 \times 2$ biclique, the simplest cohesive higher-order structure in a bipartite graph. Our main cont... |
1605.02196 | Peter Radecki | Peter Radecki, Mark Campbell and Kevin Matzen | All Weather Perception: Joint Data Association, Tracking, and
Classification for Autonomous Ground Vehicles | 35 pages, 21 figures, 14 tables | null | null | null | cs.SY cs.CV cs.LG cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A novel probabilistic perception algorithm is presented as a real-time joint
solution to data association, object tracking, and object classification for an
autonomous ground vehicle in all-weather conditions. The presented algorithm
extends a Rao-Blackwellized Particle Filter originally built with a particle
filter ... | [
{
"created": "Sat, 7 May 2016 14:36:34 GMT",
"version": "v1"
}
] | 2016-05-10 | [
[
"Radecki",
"Peter",
""
],
[
"Campbell",
"Mark",
""
],
[
"Matzen",
"Kevin",
""
]
] | A novel probabilistic perception algorithm is presented as a real-time joint solution to data association, object tracking, and object classification for an autonomous ground vehicle in all-weather conditions. The presented algorithm extends a Rao-Blackwellized Particle Filter originally built with a particle filter fo... |
2308.06459 | Pranav Goel | Pranav Goel (1), Jon Green (2), David Lazer (3), Philip Resnik (4 and
5) ((1) Department of Computer Science, University of Maryland, (2)
Department of Political Science, Duke University, (3) Network Science
Institute, Northeastern University, (4) Department of Linguistics, University
of Maryland, (5) Institute... | Mainstream News Articles Co-Shared with Fake News Buttress
Misinformation Narratives | null | null | null | null | cs.SI | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Most prior and current research examining misinformation spread on social
media focuses on reports published by 'fake' news sources. These approaches
fail to capture another potential form of misinformation with a much larger
audience: factual news from mainstream sources ('real' news) repurposed to
promote false or ... | [
{
"created": "Sat, 12 Aug 2023 03:55:26 GMT",
"version": "v1"
}
] | 2023-08-15 | [
[
"Goel",
"Pranav",
"",
"4 and\n 5"
],
[
"Green",
"Jon",
"",
"4 and\n 5"
],
[
"Lazer",
"David",
"",
"4 and\n 5"
],
[
"Resnik",
"Philip",
"",
"4 and\n 5"
]
] | Most prior and current research examining misinformation spread on social media focuses on reports published by 'fake' news sources. These approaches fail to capture another potential form of misinformation with a much larger audience: factual news from mainstream sources ('real' news) repurposed to promote false or mi... |
2302.03574 | Yujie Qin | Yujie Qin, Mustafa A. Kishk, and Mohamed-Slim Alouini | A Dominant Interferer plus Mean Field-based Approximation for SINR Meta
Distribution in Wireless Networks | null | null | null | null | cs.IT cs.SY eess.SY math.IT | http://creativecommons.org/licenses/by/4.0/ | This paper proposes a novel approach for computing the meta distribution of
the signal-to-interference-plus-noise ratio (SINR) for the downlink
transmission in a wireless network with Rayleigh fading. The novel approach
relies on an approximation mix of exact and mean-field analysis of interference
(dominant interfer... | [
{
"created": "Tue, 7 Feb 2023 16:38:52 GMT",
"version": "v1"
}
] | 2023-02-08 | [
[
"Qin",
"Yujie",
""
],
[
"Kishk",
"Mustafa A.",
""
],
[
"Alouini",
"Mohamed-Slim",
""
]
] | This paper proposes a novel approach for computing the meta distribution of the signal-to-interference-plus-noise ratio (SINR) for the downlink transmission in a wireless network with Rayleigh fading. The novel approach relies on an approximation mix of exact and mean-field analysis of interference (dominant interferer... |
2011.02207 | Dongha Choi | Dongha Choi and Hyunju Lee | Extracting Chemical-Protein Interactions via Calibrated Deep Neural
Network and Self-training | 10 pages, 4 figures, accepted for the Findings of EMNLP | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The extraction of interactions between chemicals and proteins from several
biomedical articles is important in many fields of biomedical research such as
drug development and prediction of drug side effects. Several natural language
processing methods, including deep neural network (DNN) models, have been
applied to ... | [
{
"created": "Wed, 4 Nov 2020 10:14:31 GMT",
"version": "v1"
}
] | 2020-11-05 | [
[
"Choi",
"Dongha",
""
],
[
"Lee",
"Hyunju",
""
]
] | The extraction of interactions between chemicals and proteins from several biomedical articles is important in many fields of biomedical research such as drug development and prediction of drug side effects. Several natural language processing methods, including deep neural network (DNN) models, have been applied to ad... |
2009.03285 | Thyagharajan K K | L. Aneesh Euprazia, K.K.Thyagharajan | A novel action recognition system for smart monitoring of elderly people
using Action Pattern Image and Series CNN with transfer learning | 30 pages, 19 figures, "Submitted to Pattern Recognition Journal,
Elsevier" | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Falling of elderly people who are staying alone at home leads to health
risks. If they are not attended immediately even it may lead to fatal danger to
their life. In this paper a novel computer vision-based system for smart
monitoring of elderly people using Series Convolutional Neural Network (SCNN)
with transfer l... | [
{
"created": "Mon, 7 Sep 2020 17:51:27 GMT",
"version": "v1"
}
] | 2020-09-08 | [
[
"Euprazia",
"L. Aneesh",
""
],
[
"Thyagharajan",
"K. K.",
""
]
] | Falling of elderly people who are staying alone at home leads to health risks. If they are not attended immediately even it may lead to fatal danger to their life. In this paper a novel computer vision-based system for smart monitoring of elderly people using Series Convolutional Neural Network (SCNN) with transfer lea... |
1805.06366 | Lance Williams | Lance R. Williams | Towards Complex Artificial Life | null | null | null | null | cs.NE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | An object-oriented combinator chemistry was used to construct an artificial
organism with a system architecture possessing characteristics necessary for
organisms to evolve into more complex forms. This architecture supports
modularity by providing a mechanism for the construction of executable modules
called $method... | [
{
"created": "Wed, 16 May 2018 15:20:30 GMT",
"version": "v1"
}
] | 2018-05-17 | [
[
"Williams",
"Lance R.",
""
]
] | An object-oriented combinator chemistry was used to construct an artificial organism with a system architecture possessing characteristics necessary for organisms to evolve into more complex forms. This architecture supports modularity by providing a mechanism for the construction of executable modules called $methods$... |
1806.09785 | Richard Diehl Martinez | Rooz Mahdavian, Richard Diehl Martinez | Theory of Machine Networks: A Case Study | null | null | null | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose a simplification of the Theory-of-Mind Network architecture, which
focuses on modeling complex, deterministic machines as a proxy for modeling
nondeterministic, conscious entities. We then validate this architecture in the
context of understanding engines, which, we argue, meet the required internal
and ex... | [
{
"created": "Tue, 26 Jun 2018 04:13:25 GMT",
"version": "v1"
}
] | 2018-06-27 | [
[
"Mahdavian",
"Rooz",
""
],
[
"Martinez",
"Richard Diehl",
""
]
] | We propose a simplification of the Theory-of-Mind Network architecture, which focuses on modeling complex, deterministic machines as a proxy for modeling nondeterministic, conscious entities. We then validate this architecture in the context of understanding engines, which, we argue, meet the required internal and exte... |
2401.04884 | Jonathan Scarlett | Junren Chen and Jonathan Scarlett | Exact Thresholds for Noisy Non-Adaptive Group Testing | null | null | null | null | cs.IT cs.DM math.IT math.PR math.ST stat.TH | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In recent years, the mathematical limits and algorithmic bounds for
probabilistic group testing having become increasingly well-understood, with
exact asymptotic thresholds now being known in general scaling regimes for the
noiseless setting. In the noisy setting where each test outcome is flipped with
constant proba... | [
{
"created": "Wed, 10 Jan 2024 02:26:39 GMT",
"version": "v1"
}
] | 2024-01-11 | [
[
"Chen",
"Junren",
""
],
[
"Scarlett",
"Jonathan",
""
]
] | In recent years, the mathematical limits and algorithmic bounds for probabilistic group testing having become increasingly well-understood, with exact asymptotic thresholds now being known in general scaling regimes for the noiseless setting. In the noisy setting where each test outcome is flipped with constant probabi... |
2311.18572 | Avijit Dasgupta | Avijit Dasgupta and C. V. Jawahar and Karteek Alahari | Overcoming Label Noise for Source-free Unsupervised Video Domain
Adaptation | Extended version of our ICVGIP paper | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Despite the progress seen in classification methods, current approaches for
handling videos with distribution shifts in source and target domains remain
source-dependent as they require access to the source data during the
adaptation stage. In this paper, we present a self-training based source-free
video domain adap... | [
{
"created": "Thu, 30 Nov 2023 14:06:27 GMT",
"version": "v1"
}
] | 2023-12-01 | [
[
"Dasgupta",
"Avijit",
""
],
[
"Jawahar",
"C. V.",
""
],
[
"Alahari",
"Karteek",
""
]
] | Despite the progress seen in classification methods, current approaches for handling videos with distribution shifts in source and target domains remain source-dependent as they require access to the source data during the adaptation stage. In this paper, we present a self-training based source-free video domain adapta... |
2212.13599 | Sudipto Paul | Sudipto Paul, Dr. Md Taimur Ahad, Md. Mahedi Hasan | Brain Cancer Segmentation Using YOLOv5 Deep Neural Network | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | An expansion of aberrant brain cells is referred to as a brain tumor. The
brain's architecture is extremely intricate, with several regions controlling
various nervous system processes. Any portion of the brain or skull can develop
a brain tumor, including the brain's protective coating, the base of the skull,
the br... | [
{
"created": "Tue, 27 Dec 2022 20:15:54 GMT",
"version": "v1"
}
] | 2022-12-29 | [
[
"Paul",
"Sudipto",
""
],
[
"Ahad",
"Dr. Md Taimur",
""
],
[
"Hasan",
"Md. Mahedi",
""
]
] | An expansion of aberrant brain cells is referred to as a brain tumor. The brain's architecture is extremely intricate, with several regions controlling various nervous system processes. Any portion of the brain or skull can develop a brain tumor, including the brain's protective coating, the base of the skull, the brai... |
2103.07119 | Reinis Cimurs | Reinis Cimurs, Il Hong Suh, Jin Han Lee | Goal-Driven Autonomous Exploration Through Deep Reinforcement Learning | null | null | null | null | cs.RO | http://creativecommons.org/licenses/by/4.0/ | In this paper, we present an autonomous navigation system for goal-driven
exploration of unknown environments through deep reinforcement learning (DRL).
Points of interest (POI) for possible navigation directions are obtained from
the environment and an optimal waypoint is selected, based on the available
data. Follo... | [
{
"created": "Fri, 12 Mar 2021 07:37:24 GMT",
"version": "v1"
},
{
"created": "Thu, 9 Sep 2021 08:27:09 GMT",
"version": "v2"
}
] | 2021-09-10 | [
[
"Cimurs",
"Reinis",
""
],
[
"Suh",
"Il Hong",
""
],
[
"Lee",
"Jin Han",
""
]
] | In this paper, we present an autonomous navigation system for goal-driven exploration of unknown environments through deep reinforcement learning (DRL). Points of interest (POI) for possible navigation directions are obtained from the environment and an optimal waypoint is selected, based on the available data. Followi... |
cs/0402023 | Richard McClatchey | Florida Estrella, Richard McClatchey, Dmitry Rogulina, Roberto
Amendolia, Tony Solomonides | A Service-Based Approach for Managing Mammography Data | 5 pages, 7 figures. Accepted by the 11th World Congress on Medical
Informatics (MedInfo'04). San Francisco, USA. September 2004 | null | null | null | cs.DB cs.SE | null | Grid-based technologies are emerging as a potential open-source
standards-based solution for managing and collabo-rating distributed resources.
In view of these new computing solutions, the Mammogrid project is developing a
service-based and Grid-aware application which manages a Euro-pean-wide
database of mammograms... | [
{
"created": "Thu, 12 Feb 2004 15:00:18 GMT",
"version": "v1"
}
] | 2007-05-23 | [
[
"Estrella",
"Florida",
""
],
[
"McClatchey",
"Richard",
""
],
[
"Rogulina",
"Dmitry",
""
],
[
"Amendolia",
"Roberto",
""
],
[
"Solomonides",
"Tony",
""
]
] | Grid-based technologies are emerging as a potential open-source standards-based solution for managing and collabo-rating distributed resources. In view of these new computing solutions, the Mammogrid project is developing a service-based and Grid-aware application which manages a Euro-pean-wide database of mammograms. ... |
2402.15561 | Hadis Anahideh | Parian Haghighat, Denisa G'andara, Lulu Kang, Hadis Anahideh | Fair Multivariate Adaptive Regression Splines for Ensuring Equity and
Transparency | null | The 38th Annual AAAI Conference on Artificial Intelligence, 2024 | null | null | cs.LG cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Predictive analytics is widely used in various domains, including education,
to inform decision-making and improve outcomes. However, many predictive models
are proprietary and inaccessible for evaluation or modification by researchers
and practitioners, limiting their accountability and ethical design. Moreover,
pre... | [
{
"created": "Fri, 23 Feb 2024 19:02:24 GMT",
"version": "v1"
}
] | 2024-02-27 | [
[
"Haghighat",
"Parian",
""
],
[
"G'andara",
"Denisa",
""
],
[
"Kang",
"Lulu",
""
],
[
"Anahideh",
"Hadis",
""
]
] | Predictive analytics is widely used in various domains, including education, to inform decision-making and improve outcomes. However, many predictive models are proprietary and inaccessible for evaluation or modification by researchers and practitioners, limiting their accountability and ethical design. Moreover, predi... |
1611.02361 | Rui Zhang | Rui Zhang, Honglak Lee, Dragomir Radev | Dependency Sensitive Convolutional Neural Networks for Modeling
Sentences and Documents | NAACL2016 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The goal of sentence and document modeling is to accurately represent the
meaning of sentences and documents for various Natural Language Processing
tasks. In this work, we present Dependency Sensitive Convolutional Neural
Networks (DSCNN) as a general-purpose classification system for both sentences
and documents. D... | [
{
"created": "Tue, 8 Nov 2016 01:48:15 GMT",
"version": "v1"
}
] | 2016-11-09 | [
[
"Zhang",
"Rui",
""
],
[
"Lee",
"Honglak",
""
],
[
"Radev",
"Dragomir",
""
]
] | The goal of sentence and document modeling is to accurately represent the meaning of sentences and documents for various Natural Language Processing tasks. In this work, we present Dependency Sensitive Convolutional Neural Networks (DSCNN) as a general-purpose classification system for both sentences and documents. DSC... |
2306.17278 | Vuthea Chheang | Vuthea Chheang, Shayla Sharmin, Rommy Marquez-Hernandez, Megha Patel,
Danush Rajasekaran, Gavin Caulfield, Behdokht Kiafar, Jicheng Li, Pinar
Kullu, Roghayeh Leila Barmaki | Towards Anatomy Education with Generative AI-based Virtual Assistants in
Immersive Virtual Reality Environments | Accepted to present at IEEE AIxVR 2024. 10 Pages, 6 Figures | null | null | null | cs.HC | http://creativecommons.org/licenses/by/4.0/ | Virtual reality (VR) and interactive 3D visualization systems have enhanced
educational experiences and environments, particularly in complicated subjects
such as anatomy education. VR-based systems surpass the potential limitations
of traditional training approaches in facilitating interactive engagement among
stude... | [
{
"created": "Thu, 29 Jun 2023 19:39:28 GMT",
"version": "v1"
},
{
"created": "Wed, 24 Jan 2024 19:09:11 GMT",
"version": "v2"
}
] | 2024-01-26 | [
[
"Chheang",
"Vuthea",
""
],
[
"Sharmin",
"Shayla",
""
],
[
"Marquez-Hernandez",
"Rommy",
""
],
[
"Patel",
"Megha",
""
],
[
"Rajasekaran",
"Danush",
""
],
[
"Caulfield",
"Gavin",
""
],
[
"Kiafar",
"Behdokht",
... | Virtual reality (VR) and interactive 3D visualization systems have enhanced educational experiences and environments, particularly in complicated subjects such as anatomy education. VR-based systems surpass the potential limitations of traditional training approaches in facilitating interactive engagement among student... |
2402.14327 | Delong Chen | Delong Chen, Samuel Cahyawijaya, Jianfeng Liu, Baoyuan Wang, Pascale
Fung | Subobject-level Image Tokenization | Work in progress | null | null | null | cs.CV cs.CL | http://creativecommons.org/licenses/by/4.0/ | Transformer-based vision models typically tokenize images into fixed-size
square patches as input units, which lacks the adaptability to image content
and overlooks the inherent pixel grouping structure. Inspired by the subword
tokenization widely adopted in language models, we propose an image tokenizer
at a subobje... | [
{
"created": "Thu, 22 Feb 2024 06:47:44 GMT",
"version": "v1"
},
{
"created": "Tue, 23 Apr 2024 13:41:47 GMT",
"version": "v2"
}
] | 2024-04-24 | [
[
"Chen",
"Delong",
""
],
[
"Cahyawijaya",
"Samuel",
""
],
[
"Liu",
"Jianfeng",
""
],
[
"Wang",
"Baoyuan",
""
],
[
"Fung",
"Pascale",
""
]
] | Transformer-based vision models typically tokenize images into fixed-size square patches as input units, which lacks the adaptability to image content and overlooks the inherent pixel grouping structure. Inspired by the subword tokenization widely adopted in language models, we propose an image tokenizer at a subobject... |
2110.05917 | Huazhong L\"u Dr. | Huazhong L\"u and Tingzeng Wu | On complexity of structure and substructure connectivity, component
connectivity and restricted connectivity of graphs | null | null | null | null | cs.CC math.CO | http://creativecommons.org/licenses/by/4.0/ | The connectivity of a graph is an important parameter to measure its
reliability. Structure and substructure connectivity, component connectivity
and $k$-restricted connectivity are well-known generalizations of the concept
of connectivity, which have been extensively studied from the combinatorial
point of view. Ver... | [
{
"created": "Sun, 10 Oct 2021 15:52:13 GMT",
"version": "v1"
},
{
"created": "Thu, 18 Aug 2022 02:36:06 GMT",
"version": "v2"
},
{
"created": "Sun, 30 Oct 2022 04:21:22 GMT",
"version": "v3"
}
] | 2022-11-01 | [
[
"Lü",
"Huazhong",
""
],
[
"Wu",
"Tingzeng",
""
]
] | The connectivity of a graph is an important parameter to measure its reliability. Structure and substructure connectivity, component connectivity and $k$-restricted connectivity are well-known generalizations of the concept of connectivity, which have been extensively studied from the combinatorial point of view. Very ... |
2205.02760 | Sarah Li Ms. | Sarah H.Q. Li and Lillian J. Ratliff and Peeyush Kumar | General sum stochastic games with networked information flows | 10 pages, 5 figures, Gamification and Multiagent solutions Workshop
(ICLR 2022) | null | null | null | cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Inspired by applications such as supply chain management, epidemics, and
social networks, we formulate a stochastic game model that addresses three key
features common across these domains: 1) network-structured player
interactions, 2) pair-wise mixed cooperation and competition among players, and
3) limited global i... | [
{
"created": "Thu, 5 May 2022 16:33:24 GMT",
"version": "v1"
}
] | 2022-05-06 | [
[
"Li",
"Sarah H. Q.",
""
],
[
"Ratliff",
"Lillian J.",
""
],
[
"Kumar",
"Peeyush",
""
]
] | Inspired by applications such as supply chain management, epidemics, and social networks, we formulate a stochastic game model that addresses three key features common across these domains: 1) network-structured player interactions, 2) pair-wise mixed cooperation and competition among players, and 3) limited global inf... |
2403.11021 | Minkyu Choi | Minkyu Choi, Harsh Goel, Mohammad Omama, Yunhao Yang, Sahil Shah,
Sandeep Chinchali | Towards Neuro-Symbolic Video Understanding | Accepted by The European Conference on Computer Vision (ECCV) 2024 | null | null | null | cs.CV cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The unprecedented surge in video data production in recent years necessitates
efficient tools to extract meaningful frames from videos for downstream tasks.
Long-term temporal reasoning is a key desideratum for frame retrieval systems.
While state-of-the-art foundation models, like VideoLLaMA and ViCLIP, are
proficie... | [
{
"created": "Sat, 16 Mar 2024 21:40:27 GMT",
"version": "v1"
},
{
"created": "Tue, 16 Jul 2024 03:55:58 GMT",
"version": "v2"
}
] | 2024-07-17 | [
[
"Choi",
"Minkyu",
""
],
[
"Goel",
"Harsh",
""
],
[
"Omama",
"Mohammad",
""
],
[
"Yang",
"Yunhao",
""
],
[
"Shah",
"Sahil",
""
],
[
"Chinchali",
"Sandeep",
""
]
] | The unprecedented surge in video data production in recent years necessitates efficient tools to extract meaningful frames from videos for downstream tasks. Long-term temporal reasoning is a key desideratum for frame retrieval systems. While state-of-the-art foundation models, like VideoLLaMA and ViCLIP, are proficient... |
1706.06497 | H\"armel Nestra | H\"armel Nestra | Alignment Elimination from Adams' Grammars | 14 pages | null | null | null | cs.PL | http://creativecommons.org/licenses/by/4.0/ | Adams' extension of parsing expression grammars enables specifying
indentation sensitivity using two non-standard grammar constructs ---
indentation by a binary relation and alignment. This paper proposes a
step-by-step transformation of well-formed Adams' grammars for elimination of
the alignment construct from the ... | [
{
"created": "Tue, 20 Jun 2017 14:50:03 GMT",
"version": "v1"
}
] | 2017-06-21 | [
[
"Nestra",
"Härmel",
""
]
] | Adams' extension of parsing expression grammars enables specifying indentation sensitivity using two non-standard grammar constructs --- indentation by a binary relation and alignment. This paper proposes a step-by-step transformation of well-formed Adams' grammars for elimination of the alignment construct from the gr... |
1704.02081 | Alexander Wong | Mohammad Javad Shafiee, Elnaz Barshan, and Alexander Wong | Evolution in Groups: A deeper look at synaptic cluster driven evolution
of deep neural networks | 8 pages. arXiv admin note: substantial text overlap with
arXiv:1609.01360 | null | null | null | cs.NE cs.AI cs.CV stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | A promising paradigm for achieving highly efficient deep neural networks is
the idea of evolutionary deep intelligence, which mimics biological evolution
processes to progressively synthesize more efficient networks. A crucial design
factor in evolutionary deep intelligence is the genetic encoding scheme used to
simu... | [
{
"created": "Fri, 7 Apr 2017 03:28:02 GMT",
"version": "v1"
}
] | 2017-04-10 | [
[
"Shafiee",
"Mohammad Javad",
""
],
[
"Barshan",
"Elnaz",
""
],
[
"Wong",
"Alexander",
""
]
] | A promising paradigm for achieving highly efficient deep neural networks is the idea of evolutionary deep intelligence, which mimics biological evolution processes to progressively synthesize more efficient networks. A crucial design factor in evolutionary deep intelligence is the genetic encoding scheme used to simula... |
2205.08641 | Vipindev Adat Vasudevan | Vipindev Adat Vasudevan, Muhammad Tayyab, George P. Koudouridis,
Xavier Gelabert, Ilias Politis | An Integrated Approach for Energy Efficient Handover and Key
Distribution Protocol for Secure NC-enabled Small Cells | Preprint of the paper accepted at Computer Networks | Computer Networks, 206 (2022), p. 108806 | 10.1016/j.comnet.2022.108806 | null | cs.NI cs.CR | http://creativecommons.org/licenses/by/4.0/ | Future wireless networks must serve dense mobile networks with high data
rates, keeping energy requirements to a possible minimum. The small cell-based
network architecture and device-to-device (D2D) communication are already being
considered part of 5G networks and beyond. In such environments, network coding
(NC) c... | [
{
"created": "Tue, 17 May 2022 21:41:59 GMT",
"version": "v1"
}
] | 2022-05-19 | [
[
"Vasudevan",
"Vipindev Adat",
""
],
[
"Tayyab",
"Muhammad",
""
],
[
"Koudouridis",
"George P.",
""
],
[
"Gelabert",
"Xavier",
""
],
[
"Politis",
"Ilias",
""
]
] | Future wireless networks must serve dense mobile networks with high data rates, keeping energy requirements to a possible minimum. The small cell-based network architecture and device-to-device (D2D) communication are already being considered part of 5G networks and beyond. In such environments, network coding (NC) can... |
2402.05894 | Shengxiang Hu | Shengxiang Hu, Guobing Zou, Song Yang, Yanglan Gan, Bofeng Zhang,
Yixin Chen | Large Language Model Meets Graph Neural Network in Knowledge
Distillation | 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.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In service-oriented architectures, accurately predicting the Quality of
Service (QoS) is crucial for maintaining reliability and enhancing user
satisfaction. However, significant challenges remain due to existing methods
always overlooking high-order latent collaborative relationships between users
and services and f... | [
{
"created": "Thu, 8 Feb 2024 18:33:21 GMT",
"version": "v1"
},
{
"created": "Fri, 9 Feb 2024 08:08:57 GMT",
"version": "v2"
},
{
"created": "Wed, 5 Jun 2024 11:38:12 GMT",
"version": "v3"
},
{
"created": "Tue, 11 Jun 2024 13:17:12 GMT",
"version": "v4"
}
] | 2024-06-12 | [
[
"Hu",
"Shengxiang",
""
],
[
"Zou",
"Guobing",
""
],
[
"Yang",
"Song",
""
],
[
"Gan",
"Yanglan",
""
],
[
"Zhang",
"Bofeng",
""
],
[
"Chen",
"Yixin",
""
]
] | In service-oriented architectures, accurately predicting the Quality of Service (QoS) is crucial for maintaining reliability and enhancing user satisfaction. However, significant challenges remain due to existing methods always overlooking high-order latent collaborative relationships between users and services and fai... |
1405.4429 | Jin Tan | Jin Tan, Yanting Ma, and Dror Baron | Compressive Imaging via Approximate Message Passing with Image Denoising | 15 pages; 2 tables; 7 figures; to appear in IEEE Trans. Signal
Process | null | 10.1109/TSP.2015.2408558 | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We consider compressive imaging problems, where images are reconstructed from
a reduced number of linear measurements. Our objective is to improve over
existing compressive imaging algorithms in terms of both reconstruction error
and runtime. To pursue our objective, we propose compressive imaging algorithms
that emp... | [
{
"created": "Sat, 17 May 2014 19:16:59 GMT",
"version": "v1"
},
{
"created": "Fri, 13 Feb 2015 22:22:08 GMT",
"version": "v2"
}
] | 2015-06-19 | [
[
"Tan",
"Jin",
""
],
[
"Ma",
"Yanting",
""
],
[
"Baron",
"Dror",
""
]
] | We consider compressive imaging problems, where images are reconstructed from a reduced number of linear measurements. Our objective is to improve over existing compressive imaging algorithms in terms of both reconstruction error and runtime. To pursue our objective, we propose compressive imaging algorithms that emplo... |
2201.10825 | James C. A. Main | James C. A. Main and Mickael Randour | Different strokes in randomised strategies: Revisiting Kuhn's theorem
under finite-memory assumptions | Full version, 28 pages | null | null | null | cs.GT cs.FL cs.LO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Two-player (antagonistic) games on (possibly stochastic) graphs are a
prevalent model in theoretical computer science, notably as a framework for
reactive synthesis.
Optimal strategies may require randomisation when dealing with inherently
probabilistic goals, balancing multiple objectives, or in contexts of partia... | [
{
"created": "Wed, 26 Jan 2022 09:09:47 GMT",
"version": "v1"
},
{
"created": "Wed, 10 Aug 2022 11:31:16 GMT",
"version": "v2"
}
] | 2022-08-11 | [
[
"Main",
"James C. A.",
""
],
[
"Randour",
"Mickael",
""
]
] | Two-player (antagonistic) games on (possibly stochastic) graphs are a prevalent model in theoretical computer science, notably as a framework for reactive synthesis. Optimal strategies may require randomisation when dealing with inherently probabilistic goals, balancing multiple objectives, or in contexts of partial in... |
1909.06747 | Mingyu Xiao | Mingyu Xiao and Jiaxing Ling | Algorithms for Manipulating Sequential Allocation | null | null | null | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Sequential allocation is a simple and widely studied mechanism to allocate
indivisible items in turns to agents according to a pre-specified picking
sequence of agents. At each turn, the current agent in the picking sequence
picks its most preferred item among all items having not been allocated yet.
This problem is ... | [
{
"created": "Sun, 15 Sep 2019 06:45:48 GMT",
"version": "v1"
}
] | 2019-09-17 | [
[
"Xiao",
"Mingyu",
""
],
[
"Ling",
"Jiaxing",
""
]
] | Sequential allocation is a simple and widely studied mechanism to allocate indivisible items in turns to agents according to a pre-specified picking sequence of agents. At each turn, the current agent in the picking sequence picks its most preferred item among all items having not been allocated yet. This problem is we... |
1904.03063 | Edwin D. Simpson | Edwin Simpson, Steven Reece, Stephen J. Roberts | Bayesian Heatmaps: Probabilistic Classification with Multiple Unreliable
Information Sources | null | Joint European Conference on Machine Learning and Knowledge
Discovery in Databases (2017), pp. 109-125, Springer, Cham | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Unstructured data from diverse sources, such as social media and aerial
imagery, can provide valuable up-to-date information for intelligent situation
assessment. Mining these different information sources could bring major
benefits to applications such as situation awareness in disaster zones and
mapping the spread ... | [
{
"created": "Fri, 5 Apr 2019 13:39:42 GMT",
"version": "v1"
}
] | 2019-04-08 | [
[
"Simpson",
"Edwin",
""
],
[
"Reece",
"Steven",
""
],
[
"Roberts",
"Stephen J.",
""
]
] | Unstructured data from diverse sources, such as social media and aerial imagery, can provide valuable up-to-date information for intelligent situation assessment. Mining these different information sources could bring major benefits to applications such as situation awareness in disaster zones and mapping the spread of... |
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