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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1510.00651 | Mark Scanlon | Jason Farina, M-Tahar Kechadi and Mark Scanlon | Project Maelstrom: Forensic Analysis of the BitTorrent-Powered Browser | null | Journal of Digital Forensics, Security and Law (Proc. of 10th
International Conference on Systematic Approaches to Digital Forensic
Engineering, SADFE 2015) | null | null | cs.CR | http://creativecommons.org/licenses/by-nc-sa/4.0/ | In April 2015, BitTorrent Inc. released their distributed peer-to-peer
powered browser, Project Maelstrom, into public beta. The browser facilitates a
new alternative website distribution paradigm to the traditional HTTP-based,
client-server model. This decentralised web is powered by each of the visitors
accessing e... | [
{
"created": "Fri, 2 Oct 2015 17:25:27 GMT",
"version": "v1"
}
] | 2015-10-05 | [
[
"Farina",
"Jason",
""
],
[
"Kechadi",
"M-Tahar",
""
],
[
"Scanlon",
"Mark",
""
]
] | In April 2015, BitTorrent Inc. released their distributed peer-to-peer powered browser, Project Maelstrom, into public beta. The browser facilitates a new alternative website distribution paradigm to the traditional HTTP-based, client-server model. This decentralised web is powered by each of the visitors accessing eac... |
2406.06236 | Tahira Shehzadi | Talha Uddin Sheikh, Tahira Shehzadi, Khurram Azeem Hashmi, Didier
Stricker, Muhammad Zeshan Afzal | UnSupDLA: Towards Unsupervised Document Layout Analysis | ICDAR 2024 - Workshop | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Document layout analysis is a key area in document research, involving
techniques like text mining and visual analysis. Despite various methods
developed to tackle layout analysis, a critical but frequently overlooked
problem is the scarcity of labeled data needed for analyses. With the rise of
internet use, an overw... | [
{
"created": "Mon, 10 Jun 2024 13:06:28 GMT",
"version": "v1"
}
] | 2024-06-11 | [
[
"Sheikh",
"Talha Uddin",
""
],
[
"Shehzadi",
"Tahira",
""
],
[
"Hashmi",
"Khurram Azeem",
""
],
[
"Stricker",
"Didier",
""
],
[
"Afzal",
"Muhammad Zeshan",
""
]
] | Document layout analysis is a key area in document research, involving techniques like text mining and visual analysis. Despite various methods developed to tackle layout analysis, a critical but frequently overlooked problem is the scarcity of labeled data needed for analyses. With the rise of internet use, an overwhe... |
2312.16697 | He Zhang | He Zhang, Robin Ananda, Xinyi Fu, Zhe Sun, Xiaoyu Wang, Keqi Chen,
John M. Carroll | Multi-channel Sensor Network Construction, Data Fusion and Challenges
for Smart Home | 8 pages, accepted by CHCHI2023 | null | null | null | cs.HC | http://creativecommons.org/licenses/by/4.0/ | Both sensor networks and data fusion are essential foundations for developing
the smart home Internet of Things (IoT) and related fields. We proposed a
multi-channel sensor network construction method involving hardware,
acquisition, and synchronization in the smart home environment and a smart home
data fusion metho... | [
{
"created": "Wed, 27 Dec 2023 19:30:43 GMT",
"version": "v1"
}
] | 2023-12-29 | [
[
"Zhang",
"He",
""
],
[
"Ananda",
"Robin",
""
],
[
"Fu",
"Xinyi",
""
],
[
"Sun",
"Zhe",
""
],
[
"Wang",
"Xiaoyu",
""
],
[
"Chen",
"Keqi",
""
],
[
"Carroll",
"John M.",
""
]
] | Both sensor networks and data fusion are essential foundations for developing the smart home Internet of Things (IoT) and related fields. We proposed a multi-channel sensor network construction method involving hardware, acquisition, and synchronization in the smart home environment and a smart home data fusion method ... |
1312.1961 | Christian Lavault | Marc Bui (CHART), Franck Butelle (LIPN), Christian Lavault (LIPN) | A Distributed Algorithm for Constructing a Minimum Diameter Spanning
Tree | Comments: 11 pages LaTeX, 2 figures; International Journal with
referees article; New version (full paper design): results added in Section
2.2 and 2.2; typos removed | Journal of Parallel and Distributed Computing 64, 5 (2004) 571-577 | null | null | cs.DC cs.DS cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a new algorithm, which solves the problem of distributively
finding a minimum diameter spanning tree of any (non-negatively) real-weighted
graph $G = (V,E,\omega)$. As an intermediate step, we use a new, fast,
linear-time all-pairs shortest paths distributed algorithm to find an absolute
center of $G$. The... | [
{
"created": "Fri, 6 Dec 2013 19:04:02 GMT",
"version": "v1"
},
{
"created": "Wed, 11 Dec 2013 08:09:33 GMT",
"version": "v2"
}
] | 2013-12-12 | [
[
"Bui",
"Marc",
"",
"CHART"
],
[
"Butelle",
"Franck",
"",
"LIPN"
],
[
"Lavault",
"Christian",
"",
"LIPN"
]
] | We present a new algorithm, which solves the problem of distributively finding a minimum diameter spanning tree of any (non-negatively) real-weighted graph $G = (V,E,\omega)$. As an intermediate step, we use a new, fast, linear-time all-pairs shortest paths distributed algorithm to find an absolute center of $G$. The r... |
1906.12087 | Zhangheng Li | Zhangheng Li, Jia-Xing Zhong, Jingjia Huang, Tao Zhang, Thomas Li and
Ge Li | ARMIN: Towards a More Efficient and Light-weight Recurrent Memory
Network | Published in IJCAI 2019 | null | null | null | cs.LG cs.NE stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In recent years, memory-augmented neural networks(MANNs) have shown promising
power to enhance the memory ability of neural networks for sequential
processing tasks. However, previous MANNs suffer from complex memory addressing
mechanism, making them relatively hard to train and causing computational
overheads. Moreo... | [
{
"created": "Fri, 28 Jun 2019 08:21:49 GMT",
"version": "v1"
}
] | 2019-07-01 | [
[
"Li",
"Zhangheng",
""
],
[
"Zhong",
"Jia-Xing",
""
],
[
"Huang",
"Jingjia",
""
],
[
"Zhang",
"Tao",
""
],
[
"Li",
"Thomas",
""
],
[
"Li",
"Ge",
""
]
] | In recent years, memory-augmented neural networks(MANNs) have shown promising power to enhance the memory ability of neural networks for sequential processing tasks. However, previous MANNs suffer from complex memory addressing mechanism, making them relatively hard to train and causing computational overheads. Moreove... |
2004.02335 | David Arnas | David Arnas and Carl Leake and Daniele Mortari | The n-dimensional k-vector and its application to orthogonal range
searching | 31 pages, 10 figures | Applied Mathematics and Computation, Vol. 372, 2020 | 10.1016/j.amc.2019.125010 | null | cs.DS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This work focuses on the definition and study of the n-dimensional k-vector,
an algorithm devised to perform orthogonal range searching in static databases
with multiple dimensions. The methodology first finds the order in which to
search the dimensions, and then, performs the search using a modified
projection metho... | [
{
"created": "Sun, 5 Apr 2020 22:26:05 GMT",
"version": "v1"
}
] | 2020-04-07 | [
[
"Arnas",
"David",
""
],
[
"Leake",
"Carl",
""
],
[
"Mortari",
"Daniele",
""
]
] | This work focuses on the definition and study of the n-dimensional k-vector, an algorithm devised to perform orthogonal range searching in static databases with multiple dimensions. The methodology first finds the order in which to search the dimensions, and then, performs the search using a modified projection method.... |
2402.00357 | Yichen Zhu | Xin Liu, Yichen Zhu, Yunshi Lan, Chao Yang, Yu Qiao | Safety of Multimodal Large Language Models on Images and Texts | Accepted at IJCAI2024 | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Attracted by the impressive power of Multimodal Large Language Models
(MLLMs), the public is increasingly utilizing them to improve the efficiency of
daily work. Nonetheless, the vulnerabilities of MLLMs to unsafe instructions
bring huge safety risks when these models are deployed in real-world scenarios.
In this pap... | [
{
"created": "Thu, 1 Feb 2024 05:57:10 GMT",
"version": "v1"
},
{
"created": "Sun, 25 Feb 2024 03:20:54 GMT",
"version": "v2"
},
{
"created": "Thu, 20 Jun 2024 15:06:10 GMT",
"version": "v3"
}
] | 2024-06-21 | [
[
"Liu",
"Xin",
""
],
[
"Zhu",
"Yichen",
""
],
[
"Lan",
"Yunshi",
""
],
[
"Yang",
"Chao",
""
],
[
"Qiao",
"Yu",
""
]
] | Attracted by the impressive power of Multimodal Large Language Models (MLLMs), the public is increasingly utilizing them to improve the efficiency of daily work. Nonetheless, the vulnerabilities of MLLMs to unsafe instructions bring huge safety risks when these models are deployed in real-world scenarios. In this paper... |
1809.04898 | Michele Colledanchise | Michele Colledanchise and Lorenzo Natale | Improving the Parallel Execution of Behavior Trees | null | 2018 IEEE/RSJ International Conference on Intelligent Robots and
Systems (IROS) | 10.1109/IROS.2018.8593504 | null | cs.RO | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Behavior Trees (BTs) have become a popular framework for designing
controllers of autonomous agents in the computer game and in the robotics
industry. One of the key advantages of BTs lies in their modularity, where
independent modules can be composed to create more complex ones. In the
classical formulation of BTs, ... | [
{
"created": "Thu, 13 Sep 2018 11:58:31 GMT",
"version": "v1"
}
] | 2021-08-25 | [
[
"Colledanchise",
"Michele",
""
],
[
"Natale",
"Lorenzo",
""
]
] | Behavior Trees (BTs) have become a popular framework for designing controllers of autonomous agents in the computer game and in the robotics industry. One of the key advantages of BTs lies in their modularity, where independent modules can be composed to create more complex ones. In the classical formulation of BTs, mo... |
2107.02308 | Joseph Ortiz | Joseph Ortiz, Talfan Evans, Andrew J. Davison | A visual introduction to Gaussian Belief Propagation | See online version of this article: https://gaussianbp.github.io/ | null | null | null | cs.AI cs.CV cs.LG cs.RO | http://creativecommons.org/licenses/by/4.0/ | In this article, we present a visual introduction to Gaussian Belief
Propagation (GBP), an approximate probabilistic inference algorithm that
operates by passing messages between the nodes of arbitrarily structured factor
graphs. A special case of loopy belief propagation, GBP updates rely only on
local information a... | [
{
"created": "Mon, 5 Jul 2021 22:43:27 GMT",
"version": "v1"
}
] | 2021-07-07 | [
[
"Ortiz",
"Joseph",
""
],
[
"Evans",
"Talfan",
""
],
[
"Davison",
"Andrew J.",
""
]
] | In this article, we present a visual introduction to Gaussian Belief Propagation (GBP), an approximate probabilistic inference algorithm that operates by passing messages between the nodes of arbitrarily structured factor graphs. A special case of loopy belief propagation, GBP updates rely only on local information and... |
1012.5929 | Joel Goossens | Jo\"el Goossens (1), Patrick Meumeu Yomsi (2) ((1) Brussels
University, U.L.B., Brussels, Belgium., (2) F.N.R.S, Belgium.) | Exact Schedulability Test for global-EDF Scheduling of Periodic Hard
Real-Time Tasks on Identical Multiprocessors | null | null | null | null | cs.OS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this paper we consider the scheduling problem of hard real-time systems
composed of periodic constrained-deadline tasks upon identical multiprocessor
platforms. We assume that tasks are scheduled by using the global-EDF
scheduler. We establish an exact schedulability test for this scheduler by
exploiting on the on... | [
{
"created": "Wed, 29 Dec 2010 12:41:13 GMT",
"version": "v1"
}
] | 2010-12-30 | [
[
"Goossens",
"Joël",
""
],
[
"Yomsi",
"Patrick Meumeu",
""
]
] | In this paper we consider the scheduling problem of hard real-time systems composed of periodic constrained-deadline tasks upon identical multiprocessor platforms. We assume that tasks are scheduled by using the global-EDF scheduler. We establish an exact schedulability test for this scheduler by exploiting on the one ... |
2310.06125 | William Ravenscroft | William Ravenscroft and Stefan Goetze and Thomas Hain | On Time Domain Conformer Models for Monaural Speech Separation in Noisy
Reverberant Acoustic Environments | Accepted at ASRU Workshop 2023 | null | null | null | cs.SD cs.AI cs.LG eess.AS | http://creativecommons.org/licenses/by/4.0/ | Speech separation remains an important topic for multi-speaker technology
researchers. Convolution augmented transformers (conformers) have performed
well for many speech processing tasks but have been under-researched for speech
separation. Most recent state-of-the-art (SOTA) separation models have been
time-domain ... | [
{
"created": "Mon, 9 Oct 2023 20:02:11 GMT",
"version": "v1"
}
] | 2023-10-11 | [
[
"Ravenscroft",
"William",
""
],
[
"Goetze",
"Stefan",
""
],
[
"Hain",
"Thomas",
""
]
] | Speech separation remains an important topic for multi-speaker technology researchers. Convolution augmented transformers (conformers) have performed well for many speech processing tasks but have been under-researched for speech separation. Most recent state-of-the-art (SOTA) separation models have been time-domain au... |
2401.01752 | Zheng Yuan | Zheng Yuan, Jie Zhang, Shiguang Shan | FullLoRA-AT: Efficiently Boosting the Robustness of Pretrained Vision
Transformers | 10 pages, 2 figures, 6 tables | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In recent years, the Vision Transformer (ViT) model has gradually become
mainstream in various computer vision tasks, and the robustness of the model
has received increasing attention. However, existing large models tend to
prioritize performance during training, potentially neglecting the robustness,
which may lead ... | [
{
"created": "Wed, 3 Jan 2024 14:08:39 GMT",
"version": "v1"
}
] | 2024-01-04 | [
[
"Yuan",
"Zheng",
""
],
[
"Zhang",
"Jie",
""
],
[
"Shan",
"Shiguang",
""
]
] | In recent years, the Vision Transformer (ViT) model has gradually become mainstream in various computer vision tasks, and the robustness of the model has received increasing attention. However, existing large models tend to prioritize performance during training, potentially neglecting the robustness, which may lead to... |
2402.18927 | Jiayuan Chen | Xiang Chen, Wenjie Zhu, Jiayuan Chen, Tong Zhang, Changyan Yi, Jun Cai | Edge Computing Enabled Real-Time Video Analysis via Adaptive
Spatial-Temporal Semantic Filtering | null | null | null | null | cs.CV cs.MM cs.NI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper proposes a novel edge computing enabled real-time video analysis
system for intelligent visual devices. The proposed system consists of a
tracking-assisted object detection module (TAODM) and a region of interesting
module (ROIM). TAODM adaptively determines the offloading decision to process
each video fr... | [
{
"created": "Thu, 29 Feb 2024 07:42:03 GMT",
"version": "v1"
}
] | 2024-03-01 | [
[
"Chen",
"Xiang",
""
],
[
"Zhu",
"Wenjie",
""
],
[
"Chen",
"Jiayuan",
""
],
[
"Zhang",
"Tong",
""
],
[
"Yi",
"Changyan",
""
],
[
"Cai",
"Jun",
""
]
] | This paper proposes a novel edge computing enabled real-time video analysis system for intelligent visual devices. The proposed system consists of a tracking-assisted object detection module (TAODM) and a region of interesting module (ROIM). TAODM adaptively determines the offloading decision to process each video fram... |
2201.13348 | Stefan H\"oppner | Stefan H\"oppner, Yves Haas, Matthias Tichy, Katharina Juhnke | Advantages and Disadvantages of (Dedicated) Model Transformation
Languages A Qualitative Interview Study | null | null | 10.1007/s10664-022-10194-7 | null | cs.SE | http://creativecommons.org/licenses/by/4.0/ | Model driven development envisages the use of model transformations to evolve
models. Model transformation languages, developed for this task, are touted
with many benefits over general purpose programming languages. However, a large
number of these claims have not yet been substantiated. They are also made
without t... | [
{
"created": "Mon, 31 Jan 2022 16:52:59 GMT",
"version": "v1"
},
{
"created": "Thu, 5 May 2022 16:51:40 GMT",
"version": "v2"
},
{
"created": "Mon, 4 Jul 2022 10:42:13 GMT",
"version": "v3"
}
] | 2022-08-19 | [
[
"Höppner",
"Stefan",
""
],
[
"Haas",
"Yves",
""
],
[
"Tichy",
"Matthias",
""
],
[
"Juhnke",
"Katharina",
""
]
] | Model driven development envisages the use of model transformations to evolve models. Model transformation languages, developed for this task, are touted with many benefits over general purpose programming languages. However, a large number of these claims have not yet been substantiated. They are also made without the... |
1806.07815 | Nicolas Robinson-Garcia | Nicolas Robinson-Garcia, Cassidy R. Sugimoto, Dakota Murray, Alfredo
Yegros-Yegros, Vincent Larivi\`ere and Rodrigo Costas | Scientific mobility indicators in practice: International mobility
profiles at the country level | null | Robinson-Garcia, N. et al. Scientific mobility indicators in
practice: International mobility profiles at the country level. El
profesional de la informaci\'on, 27(3), 511-520. doi:10.3145/epi.2018.may.05 | 10.3145/epi.2018.may.05 | null | cs.DL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents and describes the methodological opportunities offered by
bibliometric data to produce indicators of scientific mobility. Large
bibliographic datasets of disambiguated authors and their affiliations allow
for the possibility of tracking the affiliation changes of scientists. Using
the Web of Scien... | [
{
"created": "Wed, 20 Jun 2018 16:13:37 GMT",
"version": "v1"
}
] | 2018-06-21 | [
[
"Robinson-Garcia",
"Nicolas",
""
],
[
"Sugimoto",
"Cassidy R.",
""
],
[
"Murray",
"Dakota",
""
],
[
"Yegros-Yegros",
"Alfredo",
""
],
[
"Larivière",
"Vincent",
""
],
[
"Costas",
"Rodrigo",
""
]
] | This paper presents and describes the methodological opportunities offered by bibliometric data to produce indicators of scientific mobility. Large bibliographic datasets of disambiguated authors and their affiliations allow for the possibility of tracking the affiliation changes of scientists. Using the Web of Science... |
2010.01160 | Aditi Chaudhary | Aditi Chaudhary, Antonios Anastasopoulos, Adithya Pratapa, David R.
Mortensen, Zaid Sheikh, Yulia Tsvetkov, Graham Neubig | Automatic Extraction of Rules Governing Morphological Agreement | Accepted at EMNLP 2020 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Creating a descriptive grammar of a language is an indispensable step for
language documentation and preservation. However, at the same time it is a
tedious, time-consuming task. In this paper, we take steps towards automating
this process by devising an automated framework for extracting a first-pass
grammatical spe... | [
{
"created": "Fri, 2 Oct 2020 18:31:45 GMT",
"version": "v1"
},
{
"created": "Tue, 6 Oct 2020 03:30:27 GMT",
"version": "v2"
}
] | 2020-10-07 | [
[
"Chaudhary",
"Aditi",
""
],
[
"Anastasopoulos",
"Antonios",
""
],
[
"Pratapa",
"Adithya",
""
],
[
"Mortensen",
"David R.",
""
],
[
"Sheikh",
"Zaid",
""
],
[
"Tsvetkov",
"Yulia",
""
],
[
"Neubig",
"Graham",
... | Creating a descriptive grammar of a language is an indispensable step for language documentation and preservation. However, at the same time it is a tedious, time-consuming task. In this paper, we take steps towards automating this process by devising an automated framework for extracting a first-pass grammatical speci... |
2305.15725 | Fangwei Zhu | Fangwei Zhu, Jifan Yu, Hailong Jin, Juanzi Li, Lei Hou, Zhifang Sui | Learn to Not Link: Exploring NIL Prediction in Entity Linking | ACL Findings 2023 | null | null | null | cs.CL | http://creativecommons.org/licenses/by-sa/4.0/ | Entity linking models have achieved significant success via utilizing
pretrained language models to capture semantic features. However, the NIL
prediction problem, which aims to identify mentions without a corresponding
entity in the knowledge base, has received insufficient attention. We
categorize mentions linking ... | [
{
"created": "Thu, 25 May 2023 05:12:33 GMT",
"version": "v1"
}
] | 2023-05-26 | [
[
"Zhu",
"Fangwei",
""
],
[
"Yu",
"Jifan",
""
],
[
"Jin",
"Hailong",
""
],
[
"Li",
"Juanzi",
""
],
[
"Hou",
"Lei",
""
],
[
"Sui",
"Zhifang",
""
]
] | Entity linking models have achieved significant success via utilizing pretrained language models to capture semantic features. However, the NIL prediction problem, which aims to identify mentions without a corresponding entity in the knowledge base, has received insufficient attention. We categorize mentions linking to... |
1506.06006 | Srinivas S S Kruthiventi | Srinivas S. S. Kruthiventi and R. Venkatesh Babu | Crowd Flow Segmentation in Compressed Domain using CRF | In IEEE International Conference on Image Processing (ICIP), 2015 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Crowd flow segmentation is an important step in many video surveillance
tasks. In this work, we propose an algorithm for segmenting flows in H.264
compressed videos in a completely unsupervised manner. Our algorithm works on
motion vectors which can be obtained by partially decoding the compressed video
without extra... | [
{
"created": "Fri, 19 Jun 2015 14:01:24 GMT",
"version": "v1"
}
] | 2015-06-22 | [
[
"Kruthiventi",
"Srinivas S. S.",
""
],
[
"Babu",
"R. Venkatesh",
""
]
] | Crowd flow segmentation is an important step in many video surveillance tasks. In this work, we propose an algorithm for segmenting flows in H.264 compressed videos in a completely unsupervised manner. Our algorithm works on motion vectors which can be obtained by partially decoding the compressed video without extract... |
1305.3671 | Marcus Hutter | Marcus Hutter | Sparse Adaptive Dirichlet-Multinomial-like Processes | 32 LaTeX pages, 5 figures | null | null | null | cs.IT math.IT math.ST stat.TH | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Online estimation and modelling of i.i.d. data for short sequences over large
or complex "alphabets" is a ubiquitous (sub)problem in machine learning,
information theory, data compression, statistical language processing, and
document analysis. The Dirichlet-Multinomial distribution (also called Polya
urn scheme) and... | [
{
"created": "Thu, 16 May 2013 02:35:42 GMT",
"version": "v1"
}
] | 2013-05-17 | [
[
"Hutter",
"Marcus",
""
]
] | Online estimation and modelling of i.i.d. data for short sequences over large or complex "alphabets" is a ubiquitous (sub)problem in machine learning, information theory, data compression, statistical language processing, and document analysis. The Dirichlet-Multinomial distribution (also called Polya urn scheme) and e... |
2407.06823 | Luca Lanzend\"orfer | Giulia Arg\"uello, Luca A. Lanzend\"orfer, Roger Wattenhofer | Cue Point Estimation using Object Detection | null | null | null | null | cs.AI | http://creativecommons.org/licenses/by/4.0/ | Cue points indicate possible temporal boundaries in a transition between two
pieces of music in DJ mixing and constitute a crucial element in autonomous DJ
systems as well as for live mixing. In this work, we present a novel method for
automatic cue point estimation, interpreted as a computer vision object
detection ... | [
{
"created": "Tue, 9 Jul 2024 12:56:30 GMT",
"version": "v1"
}
] | 2024-07-10 | [
[
"Argüello",
"Giulia",
""
],
[
"Lanzendörfer",
"Luca A.",
""
],
[
"Wattenhofer",
"Roger",
""
]
] | Cue points indicate possible temporal boundaries in a transition between two pieces of music in DJ mixing and constitute a crucial element in autonomous DJ systems as well as for live mixing. In this work, we present a novel method for automatic cue point estimation, interpreted as a computer vision object detection ta... |
1302.4970 | Paul J. Krause | Paul J. Krause, John Fox, Philip Judson | Is There a Role for Qualitative Risk Assessment? | Appears in Proceedings of the Eleventh Conference on Uncertainty in
Artificial Intelligence (UAI1995) | null | null | UAI-P-1995-PG-386-393 | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Classically, risk is characterized by a point value probability indicating
the likelihood of occurrence of an adverse effect. However, there are domains
where the attainability of objective numerical risk characterizations is
increasingly being questioned. This paper reviews the arguments in favour of
extending class... | [
{
"created": "Wed, 20 Feb 2013 15:22:31 GMT",
"version": "v1"
}
] | 2013-02-21 | [
[
"Krause",
"Paul J.",
""
],
[
"Fox",
"John",
""
],
[
"Judson",
"Philip",
""
]
] | Classically, risk is characterized by a point value probability indicating the likelihood of occurrence of an adverse effect. However, there are domains where the attainability of objective numerical risk characterizations is increasingly being questioned. This paper reviews the arguments in favour of extending classic... |
2304.05512 | Taner Arsan | Taner Arsan, Sehnaz Sismanoglu Simsek, Onder Pekcan | Mathematical and Linguistic Characterization of Orhan Pamuk's Nobel
Works | null | null | null | null | cs.CL | http://creativecommons.org/licenses/by/4.0/ | In this study, Nobel Laureate Orhan Pamuk's works are chosen as examples of
Turkish literature. By counting the number of letters and words in his texts,
we find it possible to study his works statistically. It has been known that
there is a geometrical order in text structures. Here the method based on the
basic ass... | [
{
"created": "Tue, 11 Apr 2023 21:37:50 GMT",
"version": "v1"
}
] | 2023-04-13 | [
[
"Arsan",
"Taner",
""
],
[
"Simsek",
"Sehnaz Sismanoglu",
""
],
[
"Pekcan",
"Onder",
""
]
] | In this study, Nobel Laureate Orhan Pamuk's works are chosen as examples of Turkish literature. By counting the number of letters and words in his texts, we find it possible to study his works statistically. It has been known that there is a geometrical order in text structures. Here the method based on the basic assum... |
2102.08098 | Chen Zhu | Chen Zhu, Renkun Ni, Zheng Xu, Kezhi Kong, W. Ronny Huang, Tom
Goldstein | GradInit: Learning to Initialize Neural Networks for Stable and
Efficient Training | NeurIPS 2021, fixing typos | null | null | null | cs.LG cs.CL cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Innovations in neural architectures have fostered significant breakthroughs
in language modeling and computer vision. Unfortunately, novel architectures
often result in challenging hyper-parameter choices and training instability if
the network parameters are not properly initialized. A number of
architecture-specifi... | [
{
"created": "Tue, 16 Feb 2021 11:45:35 GMT",
"version": "v1"
},
{
"created": "Wed, 27 Oct 2021 05:52:41 GMT",
"version": "v2"
},
{
"created": "Wed, 24 Nov 2021 09:13:08 GMT",
"version": "v3"
}
] | 2021-11-25 | [
[
"Zhu",
"Chen",
""
],
[
"Ni",
"Renkun",
""
],
[
"Xu",
"Zheng",
""
],
[
"Kong",
"Kezhi",
""
],
[
"Huang",
"W. Ronny",
""
],
[
"Goldstein",
"Tom",
""
]
] | Innovations in neural architectures have fostered significant breakthroughs in language modeling and computer vision. Unfortunately, novel architectures often result in challenging hyper-parameter choices and training instability if the network parameters are not properly initialized. A number of architecture-specific ... |
1708.02096 | Raghavendra Selvan | Raghavendra Selvan, Jens Petersen, Jesper H. Pedersen, Marleen de
Bruijne | Extraction of Airways with Probabilistic State-space Models and Bayesian
Smoothing | 10 pages. Pre-print of the paper accepted at Workshop on Graphs in
Biomedical Image Analysis. MICCAI 2017. Quebec City | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Segmenting tree structures is common in several image processing
applications. In medical image analysis, reliable segmentations of airways,
vessels, neurons and other tree structures can enable important clinical
applications. We present a framework for tracking tree structures comprising of
elongated branches using... | [
{
"created": "Mon, 7 Aug 2017 12:43:26 GMT",
"version": "v1"
}
] | 2017-08-08 | [
[
"Selvan",
"Raghavendra",
""
],
[
"Petersen",
"Jens",
""
],
[
"Pedersen",
"Jesper H.",
""
],
[
"de Bruijne",
"Marleen",
""
]
] | Segmenting tree structures is common in several image processing applications. In medical image analysis, reliable segmentations of airways, vessels, neurons and other tree structures can enable important clinical applications. We present a framework for tracking tree structures comprising of elongated branches using p... |
1410.5105 | Chaitanya Swamy | Guru Guruganesh, Laura Sanita, and Chaitanya Swamy | Improved Region-Growing and Combinatorial Algorithms for $k$-Route Cut
Problems | null | null | null | null | cs.DS cs.DM | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We study the {\em $k$-route} generalizations of various cut problems, the
most general of which is \emph{$k$-route multicut} ($k$-MC) problem, wherein we
have $r$ source-sink pairs and the goal is to delete a minimum-cost set of
edges to reduce the edge-connectivity of every source-sink pair to below $k$.
The $k$-rou... | [
{
"created": "Sun, 19 Oct 2014 19:23:24 GMT",
"version": "v1"
}
] | 2014-10-21 | [
[
"Guruganesh",
"Guru",
""
],
[
"Sanita",
"Laura",
""
],
[
"Swamy",
"Chaitanya",
""
]
] | We study the {\em $k$-route} generalizations of various cut problems, the most general of which is \emph{$k$-route multicut} ($k$-MC) problem, wherein we have $r$ source-sink pairs and the goal is to delete a minimum-cost set of edges to reduce the edge-connectivity of every source-sink pair to below $k$. The $k$-route... |
2306.08620 | John Thickstun | John Thickstun, David Hall, Chris Donahue, Percy Liang | Anticipatory Music Transformer | TMLR accepted version | null | null | null | cs.SD cs.LG eess.AS stat.ML | http://creativecommons.org/licenses/by/4.0/ | We introduce anticipation: a method for constructing a controllable
generative model of a temporal point process (the event process) conditioned
asynchronously on realizations of a second, correlated process (the control
process). We achieve this by interleaving sequences of events and controls,
such that controls ap... | [
{
"created": "Wed, 14 Jun 2023 16:27:53 GMT",
"version": "v1"
},
{
"created": "Thu, 25 Jul 2024 18:35:33 GMT",
"version": "v2"
}
] | 2024-07-29 | [
[
"Thickstun",
"John",
""
],
[
"Hall",
"David",
""
],
[
"Donahue",
"Chris",
""
],
[
"Liang",
"Percy",
""
]
] | We introduce anticipation: a method for constructing a controllable generative model of a temporal point process (the event process) conditioned asynchronously on realizations of a second, correlated process (the control process). We achieve this by interleaving sequences of events and controls, such that controls appe... |
2010.16073 | Zeeshan Ahmad | Zeeshan Ahmad and Naimul khan | CNN based Multistage Gated Average Fusion (MGAF) for Human Action
Recognition Using Depth and Inertial Sensors | arXiv admin note: text overlap with arXiv:1910.11482 | null | null | null | cs.CV cs.LG cs.MM eess.IV | http://creativecommons.org/licenses/by/4.0/ | Convolutional Neural Network (CNN) provides leverage to extract and fuse
features from all layers of its architecture. However, extracting and fusing
intermediate features from different layers of CNN structure is still
uninvestigated for Human Action Recognition (HAR) using depth and inertial
sensors. To get maximum... | [
{
"created": "Thu, 29 Oct 2020 11:49:13 GMT",
"version": "v1"
}
] | 2020-11-02 | [
[
"Ahmad",
"Zeeshan",
""
],
[
"khan",
"Naimul",
""
]
] | Convolutional Neural Network (CNN) provides leverage to extract and fuse features from all layers of its architecture. However, extracting and fusing intermediate features from different layers of CNN structure is still uninvestigated for Human Action Recognition (HAR) using depth and inertial sensors. To get maximum b... |
2311.03774 | Cheng Cheng | Cheng Cheng, Lin Song, Ruoyi Xue, Hang Wang, Hongbin Sun, Yixiao Ge,
Ying Shan | Meta-Adapter: An Online Few-shot Learner for Vision-Language Model | Accepted by NeurIPS 2023 | null | null | null | cs.CV | http://creativecommons.org/publicdomain/zero/1.0/ | The contrastive vision-language pre-training, known as CLIP, demonstrates
remarkable potential in perceiving open-world visual concepts, enabling
effective zero-shot image recognition. Nevertheless, few-shot learning methods
based on CLIP typically require offline fine-tuning of the parameters on
few-shot samples, re... | [
{
"created": "Tue, 7 Nov 2023 07:27:16 GMT",
"version": "v1"
},
{
"created": "Thu, 11 Jan 2024 06:03:56 GMT",
"version": "v2"
}
] | 2024-01-12 | [
[
"Cheng",
"Cheng",
""
],
[
"Song",
"Lin",
""
],
[
"Xue",
"Ruoyi",
""
],
[
"Wang",
"Hang",
""
],
[
"Sun",
"Hongbin",
""
],
[
"Ge",
"Yixiao",
""
],
[
"Shan",
"Ying",
""
]
] | The contrastive vision-language pre-training, known as CLIP, demonstrates remarkable potential in perceiving open-world visual concepts, enabling effective zero-shot image recognition. Nevertheless, few-shot learning methods based on CLIP typically require offline fine-tuning of the parameters on few-shot samples, resu... |
1912.05362 | Sylvain Cherrier | Hantanirina Felixie, Jean Razafindramintsa, Sylvain Cherrier (LIGM),
Thomas Mahatody, Laurent George (LIGM), Victor Manantsoa | Jason-RS, a Collaboration between Agents and an IoT Platform | null | International Workshop on Networking for Smart Living, Dec 2019,
Paris, France | null | null | cs.MA cs.CY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In this article we start from the observation that REST services are the most
used as tools of interoperability and orchestration in the Internet of Things
(IoT). But REST does not make it possible to inject artificial intelligence
into connected objects, ie it cannot allow autonomy and decision-making by the
objects... | [
{
"created": "Wed, 11 Dec 2019 14:43:22 GMT",
"version": "v1"
}
] | 2019-12-12 | [
[
"Felixie",
"Hantanirina",
"",
"LIGM"
],
[
"Razafindramintsa",
"Jean",
"",
"LIGM"
],
[
"Cherrier",
"Sylvain",
"",
"LIGM"
],
[
"Mahatody",
"Thomas",
"",
"LIGM"
],
[
"George",
"Laurent",
"",
"LIGM"
],
[
"Manantsoa... | In this article we start from the observation that REST services are the most used as tools of interoperability and orchestration in the Internet of Things (IoT). But REST does not make it possible to inject artificial intelligence into connected objects, ie it cannot allow autonomy and decision-making by the objects t... |
2209.03910 | Prajwal Chidananda | Prajwal Chidananda, Saurabh Nair, Douglas Lee, Adrian Kaehler | PixTrack: Precise 6DoF Object Pose Tracking using NeRF Templates and
Feature-metric Alignment | null | null | null | null | cs.CV cs.AI cs.LG cs.RO | http://creativecommons.org/licenses/by-nc-sa/4.0/ | We present PixTrack, a vision based object pose tracking framework using
novel view synthesis and deep feature-metric alignment. We follow an SfM-based
relocalization paradigm where we use a Neural Radiance Field to canonically
represent the tracked object. Our evaluations demonstrate that our method
produces highly ... | [
{
"created": "Thu, 8 Sep 2022 16:36:24 GMT",
"version": "v1"
},
{
"created": "Wed, 14 Feb 2024 09:43:01 GMT",
"version": "v2"
}
] | 2024-02-16 | [
[
"Chidananda",
"Prajwal",
""
],
[
"Nair",
"Saurabh",
""
],
[
"Lee",
"Douglas",
""
],
[
"Kaehler",
"Adrian",
""
]
] | We present PixTrack, a vision based object pose tracking framework using novel view synthesis and deep feature-metric alignment. We follow an SfM-based relocalization paradigm where we use a Neural Radiance Field to canonically represent the tracked object. Our evaluations demonstrate that our method produces highly ac... |
2212.03795 | Idit Diamant | Idit Diamant, Roy H. Jennings, Oranit Dror, Hai Victor Habi, Arnon
Netzer | Reconciling a Centroid-Hypothesis Conflict in Source-Free Domain
Adaptation | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Source-free domain adaptation (SFDA) aims to transfer knowledge learned from
a source domain to an unlabeled target domain, where the source data is
unavailable during adaptation. Existing approaches for SFDA focus on
self-training usually including well-established entropy minimization
techniques. One of the main ch... | [
{
"created": "Wed, 7 Dec 2022 17:23:49 GMT",
"version": "v1"
}
] | 2022-12-08 | [
[
"Diamant",
"Idit",
""
],
[
"Jennings",
"Roy H.",
""
],
[
"Dror",
"Oranit",
""
],
[
"Habi",
"Hai Victor",
""
],
[
"Netzer",
"Arnon",
""
]
] | Source-free domain adaptation (SFDA) aims to transfer knowledge learned from a source domain to an unlabeled target domain, where the source data is unavailable during adaptation. Existing approaches for SFDA focus on self-training usually including well-established entropy minimization techniques. One of the main chal... |
1303.3636 | Rodrigo de Lamare | Lei Wang and Rodrigo C. de Lamare | Low-Complexity Adaptive Set-Membership Reduced-rank LCMV Beamforming | 2 figures, 5 pages | ISWCS 2010 | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper proposes a new adaptive algorithm for the implementation of the
linearly constrained minimum variance (LCMV) beamformer. The proposed algorithm
utilizes the set-membership filtering (SMF) framework and the reduced-rank
joint iterative optimization (JIO) scheme. We develop a stochastic gradient
(SG) based a... | [
{
"created": "Thu, 14 Mar 2013 22:56:15 GMT",
"version": "v1"
}
] | 2013-03-18 | [
[
"Wang",
"Lei",
""
],
[
"de Lamare",
"Rodrigo C.",
""
]
] | This paper proposes a new adaptive algorithm for the implementation of the linearly constrained minimum variance (LCMV) beamformer. The proposed algorithm utilizes the set-membership filtering (SMF) framework and the reduced-rank joint iterative optimization (JIO) scheme. We develop a stochastic gradient (SG) based alg... |
0901.2804 | Li Chia Choo | Li-Chia Choo and Kai-Kit Wong | The Secrecy Capacity for a 3-Receiver Broadcast Channel with Degraded
Message Sets | This paper has been withdrawn by the author | null | null | null | cs.IT math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper has been withdrawn by the author due to some errors.
| [
{
"created": "Mon, 19 Jan 2009 10:36:33 GMT",
"version": "v1"
},
{
"created": "Thu, 5 Feb 2009 16:04:22 GMT",
"version": "v2"
},
{
"created": "Tue, 3 Mar 2009 15:08:26 GMT",
"version": "v3"
},
{
"created": "Thu, 11 Jun 2009 09:53:16 GMT",
"version": "v4"
}
] | 2009-06-11 | [
[
"Choo",
"Li-Chia",
""
],
[
"Wong",
"Kai-Kit",
""
]
] | This paper has been withdrawn by the author due to some errors. |
2408.00882 | Emily Wenger | Emily Wenger, Eshika Saxena, Mohamed Malhou, Ellie Thieu, Kristin
Lauter | Benchmarking Attacks on Learning with Errors | null | null | null | null | cs.CR | http://creativecommons.org/licenses/by/4.0/ | Lattice cryptography schemes based on the learning with errors (LWE) hardness
assumption have been standardized by NIST for use as post-quantum
cryptosystems, and by HomomorphicEncryption.org for encrypted compute on
sensitive data. Thus, understanding their concrete security is critical. Most
work on LWE security fo... | [
{
"created": "Thu, 1 Aug 2024 19:21:20 GMT",
"version": "v1"
}
] | 2024-08-05 | [
[
"Wenger",
"Emily",
""
],
[
"Saxena",
"Eshika",
""
],
[
"Malhou",
"Mohamed",
""
],
[
"Thieu",
"Ellie",
""
],
[
"Lauter",
"Kristin",
""
]
] | Lattice cryptography schemes based on the learning with errors (LWE) hardness assumption have been standardized by NIST for use as post-quantum cryptosystems, and by HomomorphicEncryption.org for encrypted compute on sensitive data. Thus, understanding their concrete security is critical. Most work on LWE security focu... |
2101.06232 | Yuzhou Lin | Yuzhou Lin, Xiaolin Chang | Towards interpreting ML-based automated malware detection models: a
survey | null | null | null | null | cs.CR cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Malware is being increasingly threatening and malware detectors based on
traditional signature-based analysis are no longer suitable for current malware
detection. Recently, the models based on machine learning (ML) are developed
for predicting unknown malware variants and saving human strength. However,
most of the ... | [
{
"created": "Fri, 15 Jan 2021 17:34:40 GMT",
"version": "v1"
}
] | 2021-01-18 | [
[
"Lin",
"Yuzhou",
""
],
[
"Chang",
"Xiaolin",
""
]
] | Malware is being increasingly threatening and malware detectors based on traditional signature-based analysis are no longer suitable for current malware detection. Recently, the models based on machine learning (ML) are developed for predicting unknown malware variants and saving human strength. However, most of the ex... |
2312.09963 | Matteo Cardellini | Matteo Cardellini, Enrico Giunchiglia, and Marco Maratea | Symbolic Numeric Planning with Patterns | Accepted at AAAI24 | null | 10.1609/aaai.v38i18.29985 | null | cs.AI | http://creativecommons.org/licenses/by/4.0/ | In this paper, we propose a novel approach for solving linear numeric
planning problems, called Symbolic Pattern Planning. Given a planning problem
$\Pi$, a bound $n$ and a pattern -- defined as an arbitrary sequence of actions
-- we encode the problem of finding a plan for $\Pi$ with bound $n$ as a
formula with fewe... | [
{
"created": "Fri, 15 Dec 2023 17:20:25 GMT",
"version": "v1"
},
{
"created": "Sun, 7 Jan 2024 14:44:18 GMT",
"version": "v2"
},
{
"created": "Mon, 12 Feb 2024 09:52:37 GMT",
"version": "v3"
}
] | 2024-03-28 | [
[
"Cardellini",
"Matteo",
""
],
[
"Giunchiglia",
"Enrico",
""
],
[
"Maratea",
"Marco",
""
]
] | In this paper, we propose a novel approach for solving linear numeric planning problems, called Symbolic Pattern Planning. Given a planning problem $\Pi$, a bound $n$ and a pattern -- defined as an arbitrary sequence of actions -- we encode the problem of finding a plan for $\Pi$ with bound $n$ as a formula with fewer ... |
1901.08728 | Rishabh Agarwal | Rishabh Agarwal | Evaluation Function Approximation for Scrabble | null | null | null | null | cs.AI | http://creativecommons.org/licenses/by/4.0/ | The current state-of-the-art Scrabble agents are not learning-based but
depend on truncated Monte Carlo simulations and the quality of such agents is
contingent upon the time available for running the simulations. This thesis
takes steps towards building a learning-based Scrabble agent using self-play.
Specifically, ... | [
{
"created": "Fri, 25 Jan 2019 04:05:52 GMT",
"version": "v1"
}
] | 2019-01-28 | [
[
"Agarwal",
"Rishabh",
""
]
] | The current state-of-the-art Scrabble agents are not learning-based but depend on truncated Monte Carlo simulations and the quality of such agents is contingent upon the time available for running the simulations. This thesis takes steps towards building a learning-based Scrabble agent using self-play. Specifically, we... |
1911.10150 | Alex Lang | Sourabh Vora, Alex H. Lang, Bassam Helou, and Oscar Beijbom | PointPainting: Sequential Fusion for 3D Object Detection | 11 pages, 6 figures, 8 tables. v1 is initial submission to CVPR 2020.
v2 is final version accepted for publication at CVPR 2020 | null | null | null | cs.CV cs.LG eess.IV stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Camera and lidar are important sensor modalities for robotics in general and
self-driving cars in particular. The sensors provide complementary information
offering an opportunity for tight sensor-fusion. Surprisingly, lidar-only
methods outperform fusion methods on the main benchmark datasets, suggesting a
gap in th... | [
{
"created": "Fri, 22 Nov 2019 17:19:50 GMT",
"version": "v1"
},
{
"created": "Wed, 6 May 2020 17:17:18 GMT",
"version": "v2"
}
] | 2020-05-07 | [
[
"Vora",
"Sourabh",
""
],
[
"Lang",
"Alex H.",
""
],
[
"Helou",
"Bassam",
""
],
[
"Beijbom",
"Oscar",
""
]
] | Camera and lidar are important sensor modalities for robotics in general and self-driving cars in particular. The sensors provide complementary information offering an opportunity for tight sensor-fusion. Surprisingly, lidar-only methods outperform fusion methods on the main benchmark datasets, suggesting a gap in the ... |
2402.00591 | Nicolas Lazzari | Nicolas Lazzari, Stefano De Giorgis, Aldo Gangemi, Valentina Presutti | Sandra -- A Neuro-Symbolic Reasoner Based On Descriptions And Situations | null | null | null | null | cs.AI | http://creativecommons.org/licenses/by/4.0/ | This paper presents sandra, a neuro-symbolic reasoner combining vectorial
representations with deductive reasoning. Sandra builds a vector space
constrained by an ontology and performs reasoning over it. The geometric nature
of the reasoner allows its combination with neural networks, bridging the gap
with symbolic k... | [
{
"created": "Thu, 1 Feb 2024 13:37:53 GMT",
"version": "v1"
},
{
"created": "Fri, 2 Feb 2024 08:58:41 GMT",
"version": "v2"
},
{
"created": "Mon, 25 Mar 2024 10:52:20 GMT",
"version": "v3"
}
] | 2024-03-26 | [
[
"Lazzari",
"Nicolas",
""
],
[
"De Giorgis",
"Stefano",
""
],
[
"Gangemi",
"Aldo",
""
],
[
"Presutti",
"Valentina",
""
]
] | This paper presents sandra, a neuro-symbolic reasoner combining vectorial representations with deductive reasoning. Sandra builds a vector space constrained by an ontology and performs reasoning over it. The geometric nature of the reasoner allows its combination with neural networks, bridging the gap with symbolic kno... |
2209.09635 | Yuxuan Du | Ruohua Zhou, Yuxuan Du, Chenlei Hu | The BUCEA Speaker Diarization System for the VoxCeleb Speaker
Recognition Challenge 2022 | null | null | null | null | cs.SD eess.AS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper describes the BUCEA speaker diarization system for the 2022
VoxCeleb Speaker Recognition Challenge. Voxsrc-22 provides the development set
and test set of VoxConverse, and we mainly use the test set of VoxConverse for
parameter adjustment. Our system consists of several modules, including speech
activity d... | [
{
"created": "Tue, 20 Sep 2022 11:33:58 GMT",
"version": "v1"
}
] | 2022-09-21 | [
[
"Zhou",
"Ruohua",
""
],
[
"Du",
"Yuxuan",
""
],
[
"Hu",
"Chenlei",
""
]
] | This paper describes the BUCEA speaker diarization system for the 2022 VoxCeleb Speaker Recognition Challenge. Voxsrc-22 provides the development set and test set of VoxConverse, and we mainly use the test set of VoxConverse for parameter adjustment. Our system consists of several modules, including speech activity det... |
1210.6636 | Jan Bergstra | Jan A. Bergstra | Informaticology: combining Computer Science, Data Science, and Fiction
Science | null | null | null | null | cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Motivated by an intention to remedy current complications with Dutch
terminology concerning informatics, the term informaticology is positioned to
denote an academic counterpart of informatics where informatics is conceived of
as a container for a coherent family of practical disciplines ranging from
computer enginee... | [
{
"created": "Wed, 24 Oct 2012 19:24:59 GMT",
"version": "v1"
}
] | 2012-10-25 | [
[
"Bergstra",
"Jan A.",
""
]
] | Motivated by an intention to remedy current complications with Dutch terminology concerning informatics, the term informaticology is positioned to denote an academic counterpart of informatics where informatics is conceived of as a container for a coherent family of practical disciplines ranging from computer engineeri... |
2305.11487 | Guangyan Chen | Guangyan Chen, Meiling Wang, Yi Yang, Kai Yu, Li Yuan, Yufeng Yue | PointGPT: Auto-regressively Generative Pre-training from Point Clouds | 9 pages, 2 figures | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Large language models (LLMs) based on the generative pre-training transformer
(GPT) have demonstrated remarkable effectiveness across a diverse range of
downstream tasks. Inspired by the advancements of the GPT, we present PointGPT,
a novel approach that extends the concept of GPT to point clouds, addressing
the chal... | [
{
"created": "Fri, 19 May 2023 07:39:04 GMT",
"version": "v1"
},
{
"created": "Tue, 23 May 2023 02:38:26 GMT",
"version": "v2"
}
] | 2023-05-24 | [
[
"Chen",
"Guangyan",
""
],
[
"Wang",
"Meiling",
""
],
[
"Yang",
"Yi",
""
],
[
"Yu",
"Kai",
""
],
[
"Yuan",
"Li",
""
],
[
"Yue",
"Yufeng",
""
]
] | Large language models (LLMs) based on the generative pre-training transformer (GPT) have demonstrated remarkable effectiveness across a diverse range of downstream tasks. Inspired by the advancements of the GPT, we present PointGPT, a novel approach that extends the concept of GPT to point clouds, addressing the challe... |
2109.09105 | Ayush Kumar | Ayush Kumar, Mukuntha Narayanan Sundararaman, Jithendra Vepa | What BERT Based Language Models Learn in Spoken Transcripts: An
Empirical Study | BlackboxNLP @ EMNLP 2021 (15 pages, includes Appendix) | null | null | null | cs.CL cs.AI cs.LG eess.AS | http://creativecommons.org/licenses/by/4.0/ | Language Models (LMs) have been ubiquitously leveraged in various tasks
including spoken language understanding (SLU). Spoken language requires careful
understanding of speaker interactions, dialog states and speech induced
multimodal behaviors to generate a meaningful representation of the
conversation. In this work... | [
{
"created": "Sun, 19 Sep 2021 11:23:50 GMT",
"version": "v1"
},
{
"created": "Tue, 21 Sep 2021 05:24:51 GMT",
"version": "v2"
}
] | 2021-09-22 | [
[
"Kumar",
"Ayush",
""
],
[
"Sundararaman",
"Mukuntha Narayanan",
""
],
[
"Vepa",
"Jithendra",
""
]
] | Language Models (LMs) have been ubiquitously leveraged in various tasks including spoken language understanding (SLU). Spoken language requires careful understanding of speaker interactions, dialog states and speech induced multimodal behaviors to generate a meaningful representation of the conversation. In this work, ... |
1603.06665 | Richard Kiehl | Richard A. Kiehl | Information Processing by Nonlinear Phase Dynamics in Locally Connected
Arrays | null | null | null | null | cs.NE cs.ET | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Research toward powerful information processing systems that circumvent the
interconnect bottleneck by exploiting the nonlinear evolution of multiple phase
dynamics in locally connected arrays is discussed. We focus on a scheme in
which logic states are defined by the electrical phase of a dynamic process and
informa... | [
{
"created": "Tue, 22 Mar 2016 03:14:00 GMT",
"version": "v1"
}
] | 2016-03-23 | [
[
"Kiehl",
"Richard A.",
""
]
] | Research toward powerful information processing systems that circumvent the interconnect bottleneck by exploiting the nonlinear evolution of multiple phase dynamics in locally connected arrays is discussed. We focus on a scheme in which logic states are defined by the electrical phase of a dynamic process and informati... |
2401.02152 | Yo Kobayashi Dr. | Yo Kobayashi, Yoshihiro Katagi | Estimating continuous data of wrist joint angles using ultrasound images | null | null | null | null | cs.HC cs.RO eess.SP | http://creativecommons.org/licenses/by/4.0/ | Ultrasound imaging has recently been introduced as a sensing interface for
joint motion estimation. The use of ultrasound images as an estimation method
is expected to improve the control performance of assistive devices and
human--machine interfaces. This study aimed to estimate continuous wrist joint
angles using u... | [
{
"created": "Thu, 4 Jan 2024 09:04:16 GMT",
"version": "v1"
}
] | 2024-01-05 | [
[
"Kobayashi",
"Yo",
""
],
[
"Katagi",
"Yoshihiro",
""
]
] | Ultrasound imaging has recently been introduced as a sensing interface for joint motion estimation. The use of ultrasound images as an estimation method is expected to improve the control performance of assistive devices and human--machine interfaces. This study aimed to estimate continuous wrist joint angles using ult... |
2306.10042 | Fan Yang | Fan Yang, Mian Zhang, Gongzhen Hu and Xiabing Zhou | A Pairing Enhancement Approach for Aspect Sentiment Triplet Extraction | 12 pages, 4 figures | null | null | null | cs.IR cs.AI cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Aspect Sentiment Triplet Extraction (ASTE) aims to extract the triplet of an
aspect term, an opinion term, and their corresponding sentiment polarity from
the review texts. Due to the complexity of language and the existence of
multiple aspect terms and opinion terms in a single sentence, current models
often confuse... | [
{
"created": "Sun, 11 Jun 2023 07:32:10 GMT",
"version": "v1"
}
] | 2023-06-21 | [
[
"Yang",
"Fan",
""
],
[
"Zhang",
"Mian",
""
],
[
"Hu",
"Gongzhen",
""
],
[
"Zhou",
"Xiabing",
""
]
] | Aspect Sentiment Triplet Extraction (ASTE) aims to extract the triplet of an aspect term, an opinion term, and their corresponding sentiment polarity from the review texts. Due to the complexity of language and the existence of multiple aspect terms and opinion terms in a single sentence, current models often confuse t... |
2106.00906 | Daniel McKenzie | Daniel McKenzie, Howard Heaton, Qiuwei Li, Samy Wu Fung, Stanley
Osher, Wotao Yin | Operator Splitting for Learning to Predict Equilibria in Convex Games | To appear in SIMODS | null | null | null | cs.LG cs.GT math.OC | http://creativecommons.org/licenses/by/4.0/ | Systems of competing agents can often be modeled as games. Assuming
rationality, the most likely outcomes are given by an equilibrium (e.g. a Nash
equilibrium). In many practical settings, games are influenced by context, i.e.
additional data beyond the control of any agent (e.g. weather for traffic and
fiscal policy... | [
{
"created": "Wed, 2 Jun 2021 02:55:46 GMT",
"version": "v1"
},
{
"created": "Thu, 3 Feb 2022 20:40:23 GMT",
"version": "v2"
},
{
"created": "Wed, 8 Nov 2023 22:00:48 GMT",
"version": "v3"
},
{
"created": "Tue, 11 Jun 2024 23:32:53 GMT",
"version": "v4"
}
] | 2024-06-13 | [
[
"McKenzie",
"Daniel",
""
],
[
"Heaton",
"Howard",
""
],
[
"Li",
"Qiuwei",
""
],
[
"Fung",
"Samy Wu",
""
],
[
"Osher",
"Stanley",
""
],
[
"Yin",
"Wotao",
""
]
] | Systems of competing agents can often be modeled as games. Assuming rationality, the most likely outcomes are given by an equilibrium (e.g. a Nash equilibrium). In many practical settings, games are influenced by context, i.e. additional data beyond the control of any agent (e.g. weather for traffic and fiscal policy f... |
2001.02981 | Laura Titolo | Laura Titolo, Mariano Moscato, Cesar A. Mu\~noz | Automatic generation and verification of test-stable floating-point code | 32 pages. arXiv admin note: text overlap with arXiv:1808.04289 | null | null | null | cs.PL cs.NA math.NA | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Test instability in a floating-point program occurs when the control flow of
the program diverges from its ideal execution assuming real arithmetic. This
phenomenon is caused by the presence of round-off errors that affect the
evaluation of arithmetic expressions occurring in conditional statements.
Unstable tests ma... | [
{
"created": "Tue, 7 Jan 2020 19:46:42 GMT",
"version": "v1"
}
] | 2020-01-10 | [
[
"Titolo",
"Laura",
""
],
[
"Moscato",
"Mariano",
""
],
[
"Muñoz",
"Cesar A.",
""
]
] | Test instability in a floating-point program occurs when the control flow of the program diverges from its ideal execution assuming real arithmetic. This phenomenon is caused by the presence of round-off errors that affect the evaluation of arithmetic expressions occurring in conditional statements. Unstable tests may ... |
2212.10460 | Hao Wang | Hao Wang | PoissonMat: Remodeling Matrix Factorization using Poisson Distribution
and Solving the Cold Start Problem without Input Data | null | null | 10.1109/MLISE57402.2022.00055 | null | cs.IR cs.AI cs.LG | http://creativecommons.org/licenses/by/4.0/ | Matrix Factorization is one of the most successful recommender system
techniques over the past decade. However, the classic probabilistic theory
framework for matrix factorization is modeled using normal distributions. To
find better probabilistic models, algorithms such as RankMat, ZeroMat and
DotMat have been inven... | [
{
"created": "Tue, 6 Dec 2022 01:20:26 GMT",
"version": "v1"
}
] | 2022-12-21 | [
[
"Wang",
"Hao",
""
]
] | Matrix Factorization is one of the most successful recommender system techniques over the past decade. However, the classic probabilistic theory framework for matrix factorization is modeled using normal distributions. To find better probabilistic models, algorithms such as RankMat, ZeroMat and DotMat have been invente... |
1506.04356 | Milan Rajkovic | Milan Rajkovi\'c and Milo\v{s} Milovanovi\'c | The Artists who Forged Themselves: Detecting Creativity in Art | 26 pages, 8 figures | null | null | null | cs.CV q-bio.NC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Creativity and the understanding of cognitive processes involved in the
creative process are relevant to all of human activities. Comprehension of
creativity in the arts is of special interest due to the involvement of many
scientific and non scientific disciplines. Using digital representation of
paintings, we show ... | [
{
"created": "Sun, 14 Jun 2015 06:44:34 GMT",
"version": "v1"
}
] | 2015-06-16 | [
[
"Rajković",
"Milan",
""
],
[
"Milovanović",
"Miloš",
""
]
] | Creativity and the understanding of cognitive processes involved in the creative process are relevant to all of human activities. Comprehension of creativity in the arts is of special interest due to the involvement of many scientific and non scientific disciplines. Using digital representation of paintings, we show th... |
1312.7442 | Jamil Hamodi Mr. | Jamil Hamodi, Khaled Salah, Ravindra Thool | Evaluating the Performance of IPTV over Fixed WiMAX | 9 Pages, 9 Figures. arXiv admin note: substantial text overlap with
other internet sources by other authors | International Journal of Computer Applications 84(6):35-43,
December 2013. Published by Foundation of Computer Science, New York, USA | 10.5120/14582-2812 | null | cs.MM cs.NI | http://creativecommons.org/licenses/by/3.0/ | IEEE specifies different modulation techniques for WiMAX; namely, BPSK, QPSK,
16 QAM and 64 QAM. This paper studies the performance of Internet Protocol
Television (IPTV) over Fixed WiMAX system considering different combinations of
digital modulation. The performance is studied taking into account a number of
key sy... | [
{
"created": "Sat, 28 Dec 2013 15:19:09 GMT",
"version": "v1"
}
] | 2016-01-13 | [
[
"Hamodi",
"Jamil",
""
],
[
"Salah",
"Khaled",
""
],
[
"Thool",
"Ravindra",
""
]
] | IEEE specifies different modulation techniques for WiMAX; namely, BPSK, QPSK, 16 QAM and 64 QAM. This paper studies the performance of Internet Protocol Television (IPTV) over Fixed WiMAX system considering different combinations of digital modulation. The performance is studied taking into account a number of key syst... |
2305.04395 | Yulin Shao | Runxin Zhang, Yulin Shao, Menghan Li, Lu Lu | Optical Integrated Sensing and Communication | null | null | null | null | cs.IT eess.SP math.IT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper explores a new paradigm of optical integrated sensing and
communication (O-ISAC). Our investigation reveals that optical communication
and optical sensing are two inherently complementary technologies. On the one
hand, optical communication provides the necessary illumination for optical
sensing. On the ot... | [
{
"created": "Mon, 8 May 2023 00:03:55 GMT",
"version": "v1"
},
{
"created": "Wed, 24 May 2023 00:25:36 GMT",
"version": "v2"
}
] | 2023-05-25 | [
[
"Zhang",
"Runxin",
""
],
[
"Shao",
"Yulin",
""
],
[
"Li",
"Menghan",
""
],
[
"Lu",
"Lu",
""
]
] | This paper explores a new paradigm of optical integrated sensing and communication (O-ISAC). Our investigation reveals that optical communication and optical sensing are two inherently complementary technologies. On the one hand, optical communication provides the necessary illumination for optical sensing. On the othe... |
1803.05181 | Rizwan Ahmed Khan | Muhammad Shoaib Jaliawala, Rizwan Ahmed Khan | Can Autism be Catered with Artificial Intelligence-Assisted Intervention
Technology? A Literature Review | null | Artificial Intelligence Review 2019 | 10.1007/s10462-019-09686-8 | null | cs.HC cs.AI cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This article presents an extensive literature review of technology based
intervention methodologies for individuals facing Autism Spectrum Disorder
(ASD). Reviewed methodologies include: contemporary Computer Aided Systems
(CAS), Computer Vision Assisted Technologies (CVAT) and Virtual Reality (VR) or
Artificial Inte... | [
{
"created": "Wed, 14 Mar 2018 09:56:39 GMT",
"version": "v1"
},
{
"created": "Fri, 16 Mar 2018 04:37:12 GMT",
"version": "v2"
},
{
"created": "Sat, 10 Nov 2018 18:54:34 GMT",
"version": "v3"
},
{
"created": "Fri, 23 Nov 2018 05:15:02 GMT",
"version": "v4"
},
{
"c... | 2019-02-21 | [
[
"Jaliawala",
"Muhammad Shoaib",
""
],
[
"Khan",
"Rizwan Ahmed",
""
]
] | This article presents an extensive literature review of technology based intervention methodologies for individuals facing Autism Spectrum Disorder (ASD). Reviewed methodologies include: contemporary Computer Aided Systems (CAS), Computer Vision Assisted Technologies (CVAT) and Virtual Reality (VR) or Artificial Intell... |
1003.2682 | David Spivak | David I. Spivak | Table manipulation in simplicial databases | 8 pages. | null | null | null | cs.DB cs.IR | http://creativecommons.org/licenses/by/3.0/ | In \cite{Spi}, we developed a category of databases in which the schema of a
database is represented as a simplicial set. Each simplex corresponds to a
table in the database. There, our main concern was to find a categorical
formulation of databases; the simplicial nature of the schemas was to some
degree unexpected ... | [
{
"created": "Sat, 13 Mar 2010 06:22:07 GMT",
"version": "v1"
}
] | 2010-03-16 | [
[
"Spivak",
"David I.",
""
]
] | In \cite{Spi}, we developed a category of databases in which the schema of a database is represented as a simplicial set. Each simplex corresponds to a table in the database. There, our main concern was to find a categorical formulation of databases; the simplicial nature of the schemas was to some degree unexpected an... |
1410.4672 | Biju Issac | B. Issac, R. Chiong, S.M. Jacob | Analysis of Phishing Attacks and Countermeasures | 8 pages | Issac, B., Chiong, R. & Jacob, S. M. (2006, June). Analysis of
Phishing Attacks and Countermeasures. IBIMA, Bonn, Germany, ISBN
0-9753393-5-4, pp.339-346 | null | null | cs.CR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | One of the biggest problems with the Internet technology is the unwanted spam
emails. The well disguised phishing email comes in as part of the spam and
makes its entry into the inbox quite frequently nowadays. While phishing is
normally considered a consumer issue, the fraudulent tactics the phishers use
are now int... | [
{
"created": "Fri, 17 Oct 2014 09:34:50 GMT",
"version": "v1"
}
] | 2014-10-20 | [
[
"Issac",
"B.",
""
],
[
"Chiong",
"R.",
""
],
[
"Jacob",
"S. M.",
""
]
] | One of the biggest problems with the Internet technology is the unwanted spam emails. The well disguised phishing email comes in as part of the spam and makes its entry into the inbox quite frequently nowadays. While phishing is normally considered a consumer issue, the fraudulent tactics the phishers use are now intim... |
2405.05109 | Weijia Zhang | Weijia Zhang, Vaishali Pal, Jia-Hong Huang, Evangelos Kanoulas,
Maarten de Rijke | QFMTS: Generating Query-Focused Summaries over Multi-Table Inputs | 16 pages, 3 figures | null | null | null | cs.CL cs.AI | http://creativecommons.org/licenses/by/4.0/ | Table summarization is a crucial task aimed at condensing information from
tabular data into concise and comprehensible textual summaries. However,
existing approaches often fall short of adequately meeting users' information
and quality requirements and tend to overlook the complexities of real-world
queries. In thi... | [
{
"created": "Wed, 8 May 2024 15:05:55 GMT",
"version": "v1"
}
] | 2024-05-09 | [
[
"Zhang",
"Weijia",
""
],
[
"Pal",
"Vaishali",
""
],
[
"Huang",
"Jia-Hong",
""
],
[
"Kanoulas",
"Evangelos",
""
],
[
"de Rijke",
"Maarten",
""
]
] | Table summarization is a crucial task aimed at condensing information from tabular data into concise and comprehensible textual summaries. However, existing approaches often fall short of adequately meeting users' information and quality requirements and tend to overlook the complexities of real-world queries. In this ... |
2210.17017 | Minkyu Jung | Minkyu Jung, Ohhyeok Kwon, Seunghyun Seo, Soonshin Seo | Blank Collapse: Compressing CTC emission for the faster decoding | Accepted in Interspeech 2023 | null | null | null | cs.CL cs.SD eess.AS | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Connectionist Temporal Classification (CTC) model is a very efficient method
for modeling sequences, especially for speech data. In order to use CTC model
as an Automatic Speech Recognition (ASR) task, the beam search decoding with an
external language model like n-gram LM is necessary to obtain reasonable
results. I... | [
{
"created": "Mon, 31 Oct 2022 02:12:51 GMT",
"version": "v1"
},
{
"created": "Tue, 27 Jun 2023 00:39:38 GMT",
"version": "v2"
}
] | 2023-06-28 | [
[
"Jung",
"Minkyu",
""
],
[
"Kwon",
"Ohhyeok",
""
],
[
"Seo",
"Seunghyun",
""
],
[
"Seo",
"Soonshin",
""
]
] | Connectionist Temporal Classification (CTC) model is a very efficient method for modeling sequences, especially for speech data. In order to use CTC model as an Automatic Speech Recognition (ASR) task, the beam search decoding with an external language model like n-gram LM is necessary to obtain reasonable results. In ... |
1108.5703 | Sivakumar Madesan | Jeevan H E, Prashanth P P, Punith Kumar S N, Vinay Hegde | Web Pages Clustering: A New Approach | Clustering, concept mining, information retrieval, metasearch engine | null | null | null | cs.IR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The rapid growth of web has resulted in vast volume of information.
Information availability at a rapid speed to the user is vital. English
language (or any for that matter) has lot of ambiguity in the usage of words.
So there is no guarantee that a keyword based search engine will provide the
required results. This ... | [
{
"created": "Fri, 26 Aug 2011 07:02:35 GMT",
"version": "v1"
}
] | 2011-08-30 | [
[
"E",
"Jeevan H",
""
],
[
"P",
"Prashanth P",
""
],
[
"N",
"Punith Kumar S",
""
],
[
"Hegde",
"Vinay",
""
]
] | The rapid growth of web has resulted in vast volume of information. Information availability at a rapid speed to the user is vital. English language (or any for that matter) has lot of ambiguity in the usage of words. So there is no guarantee that a keyword based search engine will provide the required results. This pa... |
2107.00934 | Jiahui Li | Jiahui Li, Wen Chen, Xiaodi Huang, Zhiqiang Hu, Qi Duan, Hongsheng Li,
Dimitris N. Metaxas, Shaoting Zhang | Hybrid Supervision Learning for Pathology Whole Slide Image
Classification | Accepted in MICCAI2021 | null | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | Weak supervision learning on classification labels has demonstrated high
performance in various tasks, while a few pixel-level fine annotations are also
affordable. Naturally a question comes to us that whether the combination of
pixel-level (e.g., segmentation) and image level (e.g., classification)
annotation can i... | [
{
"created": "Fri, 2 Jul 2021 09:46:06 GMT",
"version": "v1"
},
{
"created": "Mon, 5 Jul 2021 03:09:33 GMT",
"version": "v2"
},
{
"created": "Mon, 25 Oct 2021 06:45:28 GMT",
"version": "v3"
}
] | 2021-10-26 | [
[
"Li",
"Jiahui",
""
],
[
"Chen",
"Wen",
""
],
[
"Huang",
"Xiaodi",
""
],
[
"Hu",
"Zhiqiang",
""
],
[
"Duan",
"Qi",
""
],
[
"Li",
"Hongsheng",
""
],
[
"Metaxas",
"Dimitris N.",
""
],
[
"Zhang",
"S... | Weak supervision learning on classification labels has demonstrated high performance in various tasks, while a few pixel-level fine annotations are also affordable. Naturally a question comes to us that whether the combination of pixel-level (e.g., segmentation) and image level (e.g., classification) annotation can int... |
2010.16336 | Ari Kobren | Naveen Jafer Nizar, Ari Kobren | Leveraging Extracted Model Adversaries for Improved Black Box Attacks | null | Analyzing and interpreting neural networks for NLP, 2020 | null | null | cs.LG cs.AI cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We present a method for adversarial input generation against black box models
for reading comprehension based question answering. Our approach is composed of
two steps. First, we approximate a victim black box model via model extraction
(Krishna et al., 2020). Second, we use our own white box method to generate
input... | [
{
"created": "Fri, 30 Oct 2020 15:53:50 GMT",
"version": "v1"
},
{
"created": "Mon, 2 Nov 2020 16:38:30 GMT",
"version": "v2"
}
] | 2020-11-03 | [
[
"Nizar",
"Naveen Jafer",
""
],
[
"Kobren",
"Ari",
""
]
] | We present a method for adversarial input generation against black box models for reading comprehension based question answering. Our approach is composed of two steps. First, we approximate a victim black box model via model extraction (Krishna et al., 2020). Second, we use our own white box method to generate input p... |
1909.11015 | Shiv Ram Dubey | Shiv Ram Dubey, Soumendu Chakraborty, Swalpa Kumar Roy, Snehasis
Mukherjee, Satish Kumar Singh, Bidyut Baran Chaudhuri | diffGrad: An Optimization Method for Convolutional Neural Networks | null | IEEE Transactions on Neural Networks and Learning Systems, 2020 | null | null | cs.LG cs.CV cs.NE math.OC | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Stochastic Gradient Decent (SGD) is one of the core techniques behind the
success of deep neural networks. The gradient provides information on the
direction in which a function has the steepest rate of change. The main problem
with basic SGD is to change by equal sized steps for all parameters,
irrespective of gradi... | [
{
"created": "Thu, 12 Sep 2019 06:20:05 GMT",
"version": "v1"
},
{
"created": "Tue, 24 Dec 2019 06:11:50 GMT",
"version": "v2"
},
{
"created": "Fri, 6 Mar 2020 06:51:39 GMT",
"version": "v3"
},
{
"created": "Sat, 27 Nov 2021 01:58:07 GMT",
"version": "v4"
}
] | 2021-11-30 | [
[
"Dubey",
"Shiv Ram",
""
],
[
"Chakraborty",
"Soumendu",
""
],
[
"Roy",
"Swalpa Kumar",
""
],
[
"Mukherjee",
"Snehasis",
""
],
[
"Singh",
"Satish Kumar",
""
],
[
"Chaudhuri",
"Bidyut Baran",
""
]
] | Stochastic Gradient Decent (SGD) is one of the core techniques behind the success of deep neural networks. The gradient provides information on the direction in which a function has the steepest rate of change. The main problem with basic SGD is to change by equal sized steps for all parameters, irrespective of gradien... |
1906.09880 | Federico Fusco | Shant Boodaghians, Federico Fusco, Stefano Leonardi, Yishay Mansour,
Ruta Mehta | Online Revenue Maximization for Server Pricing | null | Auton Agent Multi-Agent Syst 36, 11 (2022) | 10.1007/s10458-022-09544-y | null | cs.GT | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Efficient and truthful mechanisms to price resources on remote
servers/machines has been the subject of much work in recent years due to the
importance of the cloud market. This paper considers revenue maximization in
the online stochastic setting with non-preemptive jobs and a unit capacity
server. One agent/job arr... | [
{
"created": "Mon, 24 Jun 2019 12:26:13 GMT",
"version": "v1"
},
{
"created": "Fri, 19 Jul 2019 10:50:31 GMT",
"version": "v2"
},
{
"created": "Tue, 1 Oct 2019 12:32:43 GMT",
"version": "v3"
}
] | 2024-02-20 | [
[
"Boodaghians",
"Shant",
""
],
[
"Fusco",
"Federico",
""
],
[
"Leonardi",
"Stefano",
""
],
[
"Mansour",
"Yishay",
""
],
[
"Mehta",
"Ruta",
""
]
] | Efficient and truthful mechanisms to price resources on remote servers/machines has been the subject of much work in recent years due to the importance of the cloud market. This paper considers revenue maximization in the online stochastic setting with non-preemptive jobs and a unit capacity server. One agent/job arriv... |
2006.07503 | Nicol\`o Campolongo | Nicol\`o Campolongo, Francesco Orabona | Temporal Variability in Implicit Online Learning | 18 pages, 12 figures | null | null | null | cs.LG stat.ML | http://creativecommons.org/licenses/by-nc-sa/4.0/ | In the setting of online learning, Implicit algorithms turn out to be highly
successful from a practical standpoint. However, the tightest regret analyses
only show marginal improvements over Online Mirror Descent. In this work, we
shed light on this behavior carrying out a careful regret analysis. We prove a
novel s... | [
{
"created": "Fri, 12 Jun 2020 22:50:34 GMT",
"version": "v1"
},
{
"created": "Fri, 6 Nov 2020 19:59:09 GMT",
"version": "v2"
}
] | 2020-11-10 | [
[
"Campolongo",
"Nicolò",
""
],
[
"Orabona",
"Francesco",
""
]
] | In the setting of online learning, Implicit algorithms turn out to be highly successful from a practical standpoint. However, the tightest regret analyses only show marginal improvements over Online Mirror Descent. In this work, we shed light on this behavior carrying out a careful regret analysis. We prove a novel sta... |
1408.4143 | Mohammed Abdelsamea | Marghny H. Mohamed and Mohammed M. Abdelsamea | Self Organization Map based Texture Feature Extraction for Efficient
Medical Image Categorization | In Proceedings of the 4th ACM International Conference on Intelligent
Computing and Information Systems, ICICIS 2009, Cairo, Egypt 2009 | null | null | null | cs.CV cs.NE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Texture is one of the most important properties of visual surface that helps
in discriminating one object from another or an object from background. The
self-organizing map (SOM) is an excellent tool in exploratory phase of data
mining. It projects its input space on prototypes of a low-dimensional regular
grid that ... | [
{
"created": "Mon, 14 Jul 2014 13:43:19 GMT",
"version": "v1"
}
] | 2014-08-20 | [
[
"Mohamed",
"Marghny H.",
""
],
[
"Abdelsamea",
"Mohammed M.",
""
]
] | Texture is one of the most important properties of visual surface that helps in discriminating one object from another or an object from background. The self-organizing map (SOM) is an excellent tool in exploratory phase of data mining. It projects its input space on prototypes of a low-dimensional regular grid that ca... |
2205.15947 | Michael Oberst | Nikolaj Thams, Michael Oberst, David Sontag | Evaluating Robustness to Dataset Shift via Parametric Robustness Sets | NeurIPS 2022; Equal Contribution by Nikolaj/Michael, order determined
by coin flip | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We give a method for proactively identifying small, plausible shifts in
distribution which lead to large differences in model performance. These shifts
are defined via parametric changes in the causal mechanisms of observed
variables, where constraints on parameters yield a "robustness set" of
plausible distributions... | [
{
"created": "Tue, 31 May 2022 16:44:18 GMT",
"version": "v1"
},
{
"created": "Wed, 6 Jul 2022 15:11:48 GMT",
"version": "v2"
},
{
"created": "Sun, 23 Oct 2022 16:27:18 GMT",
"version": "v3"
},
{
"created": "Sun, 15 Jan 2023 05:43:40 GMT",
"version": "v4"
}
] | 2023-01-18 | [
[
"Thams",
"Nikolaj",
""
],
[
"Oberst",
"Michael",
""
],
[
"Sontag",
"David",
""
]
] | We give a method for proactively identifying small, plausible shifts in distribution which lead to large differences in model performance. These shifts are defined via parametric changes in the causal mechanisms of observed variables, where constraints on parameters yield a "robustness set" of plausible distributions a... |
1810.09878 | Tara Salman | Deval Bhamare, Tara Salman, Mohammed Samaka, Aiman Erbad, Raj Jain | Feasibility of Supervised Machine Learning for Cloud Security | null | 2016 International Conference on Information Science and Security
(ICISS) | 10.1109/ICISSEC.2016.7885853 | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Cloud computing is gaining significant attention, however, security is the
biggest hurdle in its wide acceptance. Users of cloud services are under
constant fear of data loss, security threats and availability issues. Recently,
learning-based methods for security applications are gaining popularity in the
literature ... | [
{
"created": "Tue, 23 Oct 2018 14:23:43 GMT",
"version": "v1"
}
] | 2018-10-24 | [
[
"Bhamare",
"Deval",
""
],
[
"Salman",
"Tara",
""
],
[
"Samaka",
"Mohammed",
""
],
[
"Erbad",
"Aiman",
""
],
[
"Jain",
"Raj",
""
]
] | Cloud computing is gaining significant attention, however, security is the biggest hurdle in its wide acceptance. Users of cloud services are under constant fear of data loss, security threats and availability issues. Recently, learning-based methods for security applications are gaining popularity in the literature wi... |
1210.6855 | Michal \v{C}\'ap | Michal \v{C}\'ap and Peter Nov\'ak and Ji\v{r}\'i Vok\v{r}\'inek and
Michal P\v{e}chou\v{c}ek | Asynchronous Decentralized Algorithm for Space-Time Cooperative
Pathfinding | null | Spatio-Temporal Dynamics (STeDy 2012). Editors: Mehul Bhatt, Hans
Guesgen, and Ernest Davis. Workshop Proceedings of the European Conference on
Articial Intelligence (ECAI 2012), Montpellier, France | null | null | cs.AI cs.DC cs.RO | http://creativecommons.org/licenses/by-nc-sa/3.0/ | Cooperative pathfinding is a multi-agent path planning problem where a group
of vehicles searches for a corresponding set of non-conflicting space-time
trajectories. Many of the practical methods for centralized solving of
cooperative pathfinding problems are based on the prioritized planning
strategy. However, in so... | [
{
"created": "Thu, 25 Oct 2012 14:35:27 GMT",
"version": "v1"
}
] | 2012-10-26 | [
[
"Čáp",
"Michal",
""
],
[
"Novák",
"Peter",
""
],
[
"Vokřínek",
"Jiří",
""
],
[
"Pěchouček",
"Michal",
""
]
] | Cooperative pathfinding is a multi-agent path planning problem where a group of vehicles searches for a corresponding set of non-conflicting space-time trajectories. Many of the practical methods for centralized solving of cooperative pathfinding problems are based on the prioritized planning strategy. However, in some... |
1910.09036 | Aude Genevay | Aude Genevay, Gabriel Dulac-Arnold, Jean-Philippe Vert | Differentiable Deep Clustering with Cluster Size Constraints | null | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Clustering is a fundamental unsupervised learning approach. Many clustering
algorithms -- such as $k$-means -- rely on the euclidean distance as a
similarity measure, which is often not the most relevant metric for high
dimensional data such as images. Learning a lower-dimensional embedding that
can better reflect th... | [
{
"created": "Sun, 20 Oct 2019 17:54:45 GMT",
"version": "v1"
}
] | 2019-10-22 | [
[
"Genevay",
"Aude",
""
],
[
"Dulac-Arnold",
"Gabriel",
""
],
[
"Vert",
"Jean-Philippe",
""
]
] | Clustering is a fundamental unsupervised learning approach. Many clustering algorithms -- such as $k$-means -- rely on the euclidean distance as a similarity measure, which is often not the most relevant metric for high dimensional data such as images. Learning a lower-dimensional embedding that can better reflect the ... |
0704.1068 | Leo Liberti | Giacomo Nannicini, Philippe Baptiste, Gilles Barbier, Daniel Krob, Leo
Liberti | Fast paths in large-scale dynamic road networks | 12 pages, 4 figures | null | null | null | cs.NI cs.DS | null | Efficiently computing fast paths in large scale dynamic road networks (where
dynamic traffic information is known over a part of the network) is a practical
problem faced by several traffic information service providers who wish to
offer a realistic fast path computation to GPS terminal enabled vehicles. The
heuristi... | [
{
"created": "Mon, 9 Apr 2007 07:04:19 GMT",
"version": "v1"
},
{
"created": "Wed, 27 Jun 2007 18:17:35 GMT",
"version": "v2"
}
] | 2007-06-27 | [
[
"Nannicini",
"Giacomo",
""
],
[
"Baptiste",
"Philippe",
""
],
[
"Barbier",
"Gilles",
""
],
[
"Krob",
"Daniel",
""
],
[
"Liberti",
"Leo",
""
]
] | Efficiently computing fast paths in large scale dynamic road networks (where dynamic traffic information is known over a part of the network) is a practical problem faced by several traffic information service providers who wish to offer a realistic fast path computation to GPS terminal enabled vehicles. The heuristic ... |
1112.2113 | Varun Raj Kompella | Varun Raj Kompella, Matthew Luciw and Juergen Schmidhuber | Incremental Slow Feature Analysis: Adaptive and Episodic Learning from
High-Dimensional Input Streams | null | Neural Computation, 2012, Vol. 24, No. 11, Pages 2994-3024 | null | null | cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Slow Feature Analysis (SFA) extracts features representing the underlying
causes of changes within a temporally coherent high-dimensional raw sensory
input signal. Our novel incremental version of SFA (IncSFA) combines
incremental Principal Components Analysis and Minor Components Analysis. Unlike
standard batch-base... | [
{
"created": "Fri, 9 Dec 2011 15:01:25 GMT",
"version": "v1"
}
] | 2012-10-11 | [
[
"Kompella",
"Varun Raj",
""
],
[
"Luciw",
"Matthew",
""
],
[
"Schmidhuber",
"Juergen",
""
]
] | Slow Feature Analysis (SFA) extracts features representing the underlying causes of changes within a temporally coherent high-dimensional raw sensory input signal. Our novel incremental version of SFA (IncSFA) combines incremental Principal Components Analysis and Minor Components Analysis. Unlike standard batch-based ... |
1907.10247 | Yijie Guo | Yijie Guo, Jongwook Choi, Marcin Moczulski, Shengyu Feng, Samy Bengio,
Mohammad Norouzi, Honglak Lee | Memory Based Trajectory-conditioned Policies for Learning from Sparse
Rewards | null | null | null | null | cs.LG cs.AI stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Reinforcement learning with sparse rewards is challenging because an agent
can rarely obtain non-zero rewards and hence, gradient-based optimization of
parameterized policies can be incremental and slow. Recent work demonstrated
that using a memory buffer of previous successful trajectories can result in
more effecti... | [
{
"created": "Wed, 24 Jul 2019 05:46:27 GMT",
"version": "v1"
},
{
"created": "Wed, 20 Nov 2019 00:41:38 GMT",
"version": "v2"
},
{
"created": "Mon, 15 Feb 2021 03:53:20 GMT",
"version": "v3"
}
] | 2021-02-16 | [
[
"Guo",
"Yijie",
""
],
[
"Choi",
"Jongwook",
""
],
[
"Moczulski",
"Marcin",
""
],
[
"Feng",
"Shengyu",
""
],
[
"Bengio",
"Samy",
""
],
[
"Norouzi",
"Mohammad",
""
],
[
"Lee",
"Honglak",
""
]
] | Reinforcement learning with sparse rewards is challenging because an agent can rarely obtain non-zero rewards and hence, gradient-based optimization of parameterized policies can be incremental and slow. Recent work demonstrated that using a memory buffer of previous successful trajectories can result in more effective... |
2401.08930 | Haorui Ji | Haorui Ji, Hongdong Li | 3D Human Pose Analysis via Diffusion Synthesis | null | null | null | null | cs.CV cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Diffusion models have demonstrated remarkable success in generative modeling.
In this paper, we propose PADS (Pose Analysis by Diffusion Synthesis), a novel
framework designed to address various challenges in 3D human pose analysis
through a unified pipeline. Central to PADS are two distinctive strategies: i)
learnin... | [
{
"created": "Wed, 17 Jan 2024 02:59:34 GMT",
"version": "v1"
}
] | 2024-01-18 | [
[
"Ji",
"Haorui",
""
],
[
"Li",
"Hongdong",
""
]
] | Diffusion models have demonstrated remarkable success in generative modeling. In this paper, we propose PADS (Pose Analysis by Diffusion Synthesis), a novel framework designed to address various challenges in 3D human pose analysis through a unified pipeline. Central to PADS are two distinctive strategies: i) learning ... |
2309.04802 | Qingtian Bian | Qingtian Bian, Jiaxing Xu, Hui Fang, Yiping Ke | CPMR: Context-Aware Incremental Sequential Recommendation with
Pseudo-Multi-Task Learning | Accepted by CIKM 2023. Alias: "Modeling Context-Aware Temporal
Dynamics via Pseudo-Multi-Task Learning" | ACM International Conference on Information and Knowledge
Management(CIKM '23), October 21-25,2023,Birmingham,United Kingdom | 10.1145/3583780.3615512 | null | cs.IR cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | The motivations of users to make interactions can be divided into static
preference and dynamic interest. To accurately model user representations over
time, recent studies in sequential recommendation utilize information
propagation and evolution to mine from batches of arriving interactions.
However, they ignore th... | [
{
"created": "Sat, 9 Sep 2023 14:07:11 GMT",
"version": "v1"
},
{
"created": "Thu, 14 Sep 2023 02:31:12 GMT",
"version": "v2"
},
{
"created": "Sat, 16 Sep 2023 08:52:00 GMT",
"version": "v3"
}
] | 2023-09-19 | [
[
"Bian",
"Qingtian",
""
],
[
"Xu",
"Jiaxing",
""
],
[
"Fang",
"Hui",
""
],
[
"Ke",
"Yiping",
""
]
] | The motivations of users to make interactions can be divided into static preference and dynamic interest. To accurately model user representations over time, recent studies in sequential recommendation utilize information propagation and evolution to mine from batches of arriving interactions. However, they ignore the ... |
2306.09244 | Zijian Zhou | Zijian Zhou, Oluwatosin Alabi, Meng Wei, Tom Vercauteren, Miaojing Shi | Text Promptable Surgical Instrument Segmentation with Vision-Language
Models | NeurIPS 2023 | https://proceedings.neurips.cc/paper_files/paper/2023/hash/5af741d487c5f0b08bfe56e11d1883e4-Abstract-Conference.html | null | null | cs.CV | http://creativecommons.org/licenses/by/4.0/ | In this paper, we propose a novel text promptable surgical instrument
segmentation approach to overcome challenges associated with diversity and
differentiation of surgical instruments in minimally invasive surgeries. We
redefine the task as text promptable, thereby enabling a more nuanced
comprehension of surgical i... | [
{
"created": "Thu, 15 Jun 2023 16:26:20 GMT",
"version": "v1"
},
{
"created": "Sun, 29 Oct 2023 10:07:43 GMT",
"version": "v2"
},
{
"created": "Wed, 8 Nov 2023 15:36:17 GMT",
"version": "v3"
}
] | 2024-06-05 | [
[
"Zhou",
"Zijian",
""
],
[
"Alabi",
"Oluwatosin",
""
],
[
"Wei",
"Meng",
""
],
[
"Vercauteren",
"Tom",
""
],
[
"Shi",
"Miaojing",
""
]
] | In this paper, we propose a novel text promptable surgical instrument segmentation approach to overcome challenges associated with diversity and differentiation of surgical instruments in minimally invasive surgeries. We redefine the task as text promptable, thereby enabling a more nuanced comprehension of surgical ins... |
2303.15198 | Pengwei Liang | Pengwei Liang, Junjun Jiang, Xianming Liu, Jiayi Ma | Image Deblurring by Exploring In-depth Properties of Transformer | accept by IEEE Transactions on Neural Networks and Learning Systems | IEEE Transactions on Neural Networks and Learning Systems 2024 | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Image deblurring continues to achieve impressive performance with the
development of generative models. Nonetheless, there still remains a
displeasing problem if one wants to improve perceptual quality and quantitative
scores of recovered image at the same time. In this study, drawing inspiration
from the research of... | [
{
"created": "Fri, 24 Mar 2023 14:14:25 GMT",
"version": "v1"
},
{
"created": "Sat, 27 Jan 2024 05:47:40 GMT",
"version": "v2"
}
] | 2024-01-30 | [
[
"Liang",
"Pengwei",
""
],
[
"Jiang",
"Junjun",
""
],
[
"Liu",
"Xianming",
""
],
[
"Ma",
"Jiayi",
""
]
] | Image deblurring continues to achieve impressive performance with the development of generative models. Nonetheless, there still remains a displeasing problem if one wants to improve perceptual quality and quantitative scores of recovered image at the same time. In this study, drawing inspiration from the research of t... |
1601.07279 | Mikko Lauri | Mikko Lauri, Nikolay Atanasov, George J. Pappas, Risto Ritala | Myopic Policy Bounds for Information Acquisition POMDPs | 8 pages, 3 figures | null | null | null | cs.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper addresses the problem of optimal control of robotic sensing
systems aimed at autonomous information gathering in scenarios such as
environmental monitoring, search and rescue, and surveillance and
reconnaissance. The information gathering problem is formulated as a partially
observable Markov decision proc... | [
{
"created": "Wed, 27 Jan 2016 07:10:06 GMT",
"version": "v1"
}
] | 2016-01-28 | [
[
"Lauri",
"Mikko",
""
],
[
"Atanasov",
"Nikolay",
""
],
[
"Pappas",
"George J.",
""
],
[
"Ritala",
"Risto",
""
]
] | This paper addresses the problem of optimal control of robotic sensing systems aimed at autonomous information gathering in scenarios such as environmental monitoring, search and rescue, and surveillance and reconnaissance. The information gathering problem is formulated as a partially observable Markov decision proces... |
2404.01701 | Tristan Ratz | Marcel Nawrath, Agnieszka Nowak, Tristan Ratz, Danilo C. Walenta, Juri
Opitz, Leonardo F. R. Ribeiro, Jo\~ao Sedoc, Daniel Deutsch, Simon Mille,
Yixin Liu, Lining Zhang, Sebastian Gehrmann, Saad Mahamood, Miruna Clinciu,
Khyathi Chandu, Yufang Hou | On the Role of Summary Content Units in Text Summarization Evaluation | 10 Pages, 3 Figures, 3 Tables, camera ready version accepted at NAACL
2024 | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | At the heart of the Pyramid evaluation method for text summarization lie
human written summary content units (SCUs). These SCUs are concise sentences
that decompose a summary into small facts. Such SCUs can be used to judge the
quality of a candidate summary, possibly partially automated via natural
language inferenc... | [
{
"created": "Tue, 2 Apr 2024 07:09:44 GMT",
"version": "v1"
}
] | 2024-04-03 | [
[
"Nawrath",
"Marcel",
""
],
[
"Nowak",
"Agnieszka",
""
],
[
"Ratz",
"Tristan",
""
],
[
"Walenta",
"Danilo C.",
""
],
[
"Opitz",
"Juri",
""
],
[
"Ribeiro",
"Leonardo F. R.",
""
],
[
"Sedoc",
"João",
""
],
... | At the heart of the Pyramid evaluation method for text summarization lie human written summary content units (SCUs). These SCUs are concise sentences that decompose a summary into small facts. Such SCUs can be used to judge the quality of a candidate summary, possibly partially automated via natural language inference ... |
1909.06228 | S VenkataKeerthy | S. VenkataKeerthy, Rohit Aggarwal, Shalini Jain, Maunendra Sankar
Desarkar, Ramakrishna Upadrasta and Y. N. Srikant | IR2Vec: LLVM IR based Scalable Program Embeddings | Accepted in ACM TACO | null | 10.1145/3418463 | null | cs.PL cs.LG cs.NE cs.SE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | We propose IR2Vec, a Concise and Scalable encoding infrastructure to
represent programs as a distributed embedding in continuous space. This
distributed embedding is obtained by combining representation learning methods
with flow information to capture the syntax as well as the semantics of the
input programs. As our... | [
{
"created": "Fri, 13 Sep 2019 13:41:40 GMT",
"version": "v1"
},
{
"created": "Wed, 1 Jan 2020 06:22:25 GMT",
"version": "v2"
},
{
"created": "Tue, 1 Sep 2020 09:24:01 GMT",
"version": "v3"
}
] | 2020-12-25 | [
[
"VenkataKeerthy",
"S.",
""
],
[
"Aggarwal",
"Rohit",
""
],
[
"Jain",
"Shalini",
""
],
[
"Desarkar",
"Maunendra Sankar",
""
],
[
"Upadrasta",
"Ramakrishna",
""
],
[
"Srikant",
"Y. N.",
""
]
] | We propose IR2Vec, a Concise and Scalable encoding infrastructure to represent programs as a distributed embedding in continuous space. This distributed embedding is obtained by combining representation learning methods with flow information to capture the syntax as well as the semantics of the input programs. As our i... |
1903.01392 | Sherif Abdulatif | Karim Armanious, Sherif Abdulatif, Fady Aziz, Urs Schneider, Bin Yang | An Adversarial Super-Resolution Remedy for Radar Design Trade-offs | Accepted in EUSIPCO 2019, 5 pages | null | 10.23919/EUSIPCO.2019.8902510 | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Radar is of vital importance in many fields, such as autonomous driving,
safety and surveillance applications. However, it suffers from stringent
constraints on its design parametrization leading to multiple trade-offs. For
example, the bandwidth in FMCW radars is inversely proportional with both the
maximum unambigu... | [
{
"created": "Mon, 4 Mar 2019 17:41:26 GMT",
"version": "v1"
},
{
"created": "Thu, 20 Jun 2019 16:23:55 GMT",
"version": "v2"
}
] | 2019-11-26 | [
[
"Armanious",
"Karim",
""
],
[
"Abdulatif",
"Sherif",
""
],
[
"Aziz",
"Fady",
""
],
[
"Schneider",
"Urs",
""
],
[
"Yang",
"Bin",
""
]
] | Radar is of vital importance in many fields, such as autonomous driving, safety and surveillance applications. However, it suffers from stringent constraints on its design parametrization leading to multiple trade-offs. For example, the bandwidth in FMCW radars is inversely proportional with both the maximum unambiguou... |
1004.4128 | Emanuel Gluskin | Emanuel Gluskin | An approximate analytical (structural) superposition in terms of two, or
more, "alfa"-circuits of the same topology: Pt.1 - description of the
superposition | This is my old (2005-6) Ms.. The "f-connection" is new and thus the
work seems to be too detailed, but some central proofs were difficult for me,
and having to be sure in good precision of the "analytical superposition", I
calculated different cases. See in http://www.ee.bgu.ac.il/~gluskin/ Article
no 50 and th... | null | null | null | cs.OH | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | One-ports named "f-circuits", composed of similar conductors described by a
monotonic polynomial, or quasi-polynomial (i.e. with positive but not
necessarily integer, powers) characteristic i = f(v) are studied, focusing on
the algebraic map f --> F. Here F(.) is the input conductivity characteristic;
i.e., iin = F(v... | [
{
"created": "Fri, 23 Apr 2010 13:26:34 GMT",
"version": "v1"
},
{
"created": "Mon, 26 Apr 2010 06:36:05 GMT",
"version": "v2"
}
] | 2010-04-28 | [
[
"Gluskin",
"Emanuel",
""
]
] | One-ports named "f-circuits", composed of similar conductors described by a monotonic polynomial, or quasi-polynomial (i.e. with positive but not necessarily integer, powers) characteristic i = f(v) are studied, focusing on the algebraic map f --> F. Here F(.) is the input conductivity characteristic; i.e., iin = F(vin... |
cs/0501046 | Tommaso Toffoli | Tommaso Toffoli | Thermodynamics of used punched tape: A weak and a strong equivalence
principle | 7 pages, 8 figures | null | null | null | cs.IT math.IT | null | We study the repeated use of a monotonic recording medium--such as punched
tape or photographic plate--where marks can be added at any time but never
erased. (For practical purposes, also the electromagnetic "ether" falls into
this class.) Our emphasis is on the case where the successive users act
independently and s... | [
{
"created": "Fri, 21 Jan 2005 04:17:50 GMT",
"version": "v1"
}
] | 2007-07-13 | [
[
"Toffoli",
"Tommaso",
""
]
] | We study the repeated use of a monotonic recording medium--such as punched tape or photographic plate--where marks can be added at any time but never erased. (For practical purposes, also the electromagnetic "ether" falls into this class.) Our emphasis is on the case where the successive users act independently and sel... |
2010.12885 | Tong Niu | Tong Niu, Semih Yavuz, Yingbo Zhou, Nitish Shirish Keskar, Huan Wang,
Caiming Xiong | Unsupervised Paraphrasing with Pretrained Language Models | Accepted at EMNLP 2021 main conference | null | null | null | cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Paraphrase generation has benefited extensively from recent progress in the
designing of training objectives and model architectures. However, previous
explorations have largely focused on supervised methods, which require a large
amount of labeled data that is costly to collect. To address this drawback, we
adopt a ... | [
{
"created": "Sat, 24 Oct 2020 11:55:28 GMT",
"version": "v1"
},
{
"created": "Fri, 10 Sep 2021 20:50:19 GMT",
"version": "v2"
}
] | 2021-09-14 | [
[
"Niu",
"Tong",
""
],
[
"Yavuz",
"Semih",
""
],
[
"Zhou",
"Yingbo",
""
],
[
"Keskar",
"Nitish Shirish",
""
],
[
"Wang",
"Huan",
""
],
[
"Xiong",
"Caiming",
""
]
] | Paraphrase generation has benefited extensively from recent progress in the designing of training objectives and model architectures. However, previous explorations have largely focused on supervised methods, which require a large amount of labeled data that is costly to collect. To address this drawback, we adopt a tr... |
1910.02830 | Viraj Prabhu | Viraj Prabhu, Anitha Kannan, Geoffrey J. Tso, Namit Katariya, Manish
Chablani, David Sontag, Xavier Amatriain | Open Set Medical Diagnosis | Abbreviated version to appear at Machine Learning for Healthcare
(ML4H) Workshop at NeurIPS 2019 | null | null | null | cs.LG cs.AI stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Machine-learned diagnosis models have shown promise as medical aides but are
trained under a closed-set assumption, i.e. that models will only encounter
conditions on which they have been trained. However, it is practically
infeasible to obtain sufficient training data for every human condition, and
once deployed suc... | [
{
"created": "Mon, 7 Oct 2019 14:45:47 GMT",
"version": "v1"
}
] | 2019-10-08 | [
[
"Prabhu",
"Viraj",
""
],
[
"Kannan",
"Anitha",
""
],
[
"Tso",
"Geoffrey J.",
""
],
[
"Katariya",
"Namit",
""
],
[
"Chablani",
"Manish",
""
],
[
"Sontag",
"David",
""
],
[
"Amatriain",
"Xavier",
""
]
] | Machine-learned diagnosis models have shown promise as medical aides but are trained under a closed-set assumption, i.e. that models will only encounter conditions on which they have been trained. However, it is practically infeasible to obtain sufficient training data for every human condition, and once deployed such ... |
2006.10923 | Amish Patel | Amish Patel and Aravind Varier | Hyperparameter Analysis for Image Captioning | 10 pages, 9 figures, and 7 tables | null | null | null | cs.CV cs.LG | http://creativecommons.org/licenses/by/4.0/ | In this paper, we perform a thorough sensitivity analysis on state-of-the-art
image captioning approaches using two different architectures: CNN+LSTM and
CNN+Transformer. Experiments were carried out using the Flickr8k dataset. The
biggest takeaway from the experiments is that fine-tuning the CNN encoder
outperforms ... | [
{
"created": "Fri, 19 Jun 2020 01:49:37 GMT",
"version": "v1"
}
] | 2020-06-22 | [
[
"Patel",
"Amish",
""
],
[
"Varier",
"Aravind",
""
]
] | In this paper, we perform a thorough sensitivity analysis on state-of-the-art image captioning approaches using two different architectures: CNN+LSTM and CNN+Transformer. Experiments were carried out using the Flickr8k dataset. The biggest takeaway from the experiments is that fine-tuning the CNN encoder outperforms th... |
2101.02496 | Manuel Lagunas | Manuel Lagunas, Ana Serrano, Diego Gutierrez, Belen Masia | The joint role of geometry and illumination on material recognition | 15 pages, 16 figures, Accepted to the Journal of Vision, 2021 | Journal of Vision February 2021, Vol.21, 2 | 10.1167/jov.21.2.2 | null | cs.CV cs.AI cs.GR | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Observing and recognizing materials is a fundamental part of our daily life.
Under typical viewing conditions, we are capable of effortlessly identifying
the objects that surround us and recognizing the materials they are made of.
Nevertheless, understanding the underlying perceptual processes that take place
to accu... | [
{
"created": "Thu, 7 Jan 2021 11:29:52 GMT",
"version": "v1"
},
{
"created": "Thu, 4 Feb 2021 12:35:25 GMT",
"version": "v2"
}
] | 2021-02-05 | [
[
"Lagunas",
"Manuel",
""
],
[
"Serrano",
"Ana",
""
],
[
"Gutierrez",
"Diego",
""
],
[
"Masia",
"Belen",
""
]
] | Observing and recognizing materials is a fundamental part of our daily life. Under typical viewing conditions, we are capable of effortlessly identifying the objects that surround us and recognizing the materials they are made of. Nevertheless, understanding the underlying perceptual processes that take place to accura... |
1909.07208 | Emna Rejaibi | Emna Rejaibi, Ali Komaty, Fabrice Meriaudeau, Said Agrebi, and Alice
Othmani | MFCC-based Recurrent Neural Network for Automatic Clinical Depression
Recognition and Assessment from Speech | 14 pages, 7 figures, 9 tables | null | null | null | cs.HC cs.AI cs.LG eess.AS | http://creativecommons.org/licenses/by-nc-sa/4.0/ | Clinical depression or Major Depressive Disorder (MDD) is a common and
serious medical illness. In this paper, a deep recurrent neural network-based
framework is presented to detect depression and to predict its severity level
from speech. Low-level and high-level audio features are extracted from audio
recordings to... | [
{
"created": "Mon, 16 Sep 2019 14:03:01 GMT",
"version": "v1"
},
{
"created": "Thu, 12 Mar 2020 13:09:24 GMT",
"version": "v2"
}
] | 2020-03-13 | [
[
"Rejaibi",
"Emna",
""
],
[
"Komaty",
"Ali",
""
],
[
"Meriaudeau",
"Fabrice",
""
],
[
"Agrebi",
"Said",
""
],
[
"Othmani",
"Alice",
""
]
] | Clinical depression or Major Depressive Disorder (MDD) is a common and serious medical illness. In this paper, a deep recurrent neural network-based framework is presented to detect depression and to predict its severity level from speech. Low-level and high-level audio features are extracted from audio recordings to p... |
2012.10613 | Piotr Antonik | Piotr Antonik, Marc Haelterman, Serge Massar | Online training for high-performance analogue readout layers in photonic
reservoir computers | 11 pages, 5 figures | Cognitive Computation (Volume: 9, Pages: 297-306, 11 March 2017) | 10.1007/s12559-017-9459-3 | null | cs.NE | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Introduction. Reservoir Computing is a bio-inspired computing paradigm for
processing time-dependent signals. The performance of its hardware
implementation is comparable to state-of-the-art digital algorithms on a series
of benchmark tasks. The major bottleneck of these implementation is the readout
layer, based on ... | [
{
"created": "Sat, 19 Dec 2020 07:12:26 GMT",
"version": "v1"
}
] | 2020-12-22 | [
[
"Antonik",
"Piotr",
""
],
[
"Haelterman",
"Marc",
""
],
[
"Massar",
"Serge",
""
]
] | Introduction. Reservoir Computing is a bio-inspired computing paradigm for processing time-dependent signals. The performance of its hardware implementation is comparable to state-of-the-art digital algorithms on a series of benchmark tasks. The major bottleneck of these implementation is the readout layer, based on sl... |
1602.01516 | Sina Parhizi | Sina Parhizi and Amin Khodaei | Market-based Microgrid Optimal Scheduling | Appeared in 6th IEEE International Conference on Smart Grid
Communications (SmartGridComm 2015) | null | null | null | cs.SY | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper presents an optimal scheduling model for a microgrid participating
in the electricity distribution market in interaction with the Distribution
Market Operator (DMO). The DMO is a concept proposed here, which administers
the established electricity market in the distribution level, i.e., similar to
the role... | [
{
"created": "Thu, 4 Feb 2016 00:49:07 GMT",
"version": "v1"
}
] | 2016-02-05 | [
[
"Parhizi",
"Sina",
""
],
[
"Khodaei",
"Amin",
""
]
] | This paper presents an optimal scheduling model for a microgrid participating in the electricity distribution market in interaction with the Distribution Market Operator (DMO). The DMO is a concept proposed here, which administers the established electricity market in the distribution level, i.e., similar to the role o... |
2303.01125 | Xuechen Liu | Xuechen Liu, Md Sahidullah, Tomi Kinnunen | Distilling Multi-Level X-vector Knowledge for Small-footprint Speaker
Verification | Submitted to Data & Knowledge Engineering at Dec. 2023. Copyright may
be transferred without notice | null | null | null | cs.SD cs.LG eess.AS | http://creativecommons.org/licenses/by/4.0/ | Even though deep speaker models have demonstrated impressive accuracy in
speaker verification tasks, this often comes at the expense of increased model
size and computation time, presenting challenges for deployment in
resource-constrained environments. Our research focuses on addressing this
limitation through the d... | [
{
"created": "Thu, 2 Mar 2023 10:09:11 GMT",
"version": "v1"
},
{
"created": "Fri, 15 Dec 2023 13:37:19 GMT",
"version": "v2"
},
{
"created": "Tue, 19 Dec 2023 23:25:01 GMT",
"version": "v3"
}
] | 2023-12-21 | [
[
"Liu",
"Xuechen",
""
],
[
"Sahidullah",
"Md",
""
],
[
"Kinnunen",
"Tomi",
""
]
] | Even though deep speaker models have demonstrated impressive accuracy in speaker verification tasks, this often comes at the expense of increased model size and computation time, presenting challenges for deployment in resource-constrained environments. Our research focuses on addressing this limitation through the dev... |
1611.10305 | Qunwei Li | Qunwei Li, Bhavya Kailkhura, Jayaraman J. Thiagarajan, Zhenliang
Zhang, Pramod K. Varshney | Influential Node Detection in Implicit Social Networks using Multi-task
Gaussian Copula Models | NIPS 2016 Workshop, JMLR: Workshop and Conference Proceedings | null | null | null | cs.SI cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Influential node detection is a central research topic in social network
analysis. Many existing methods rely on the assumption that the network
structure is completely known \textit{a priori}. However, in many applications,
network structure is unavailable to explain the underlying information
diffusion phenomenon. ... | [
{
"created": "Wed, 30 Nov 2016 18:46:55 GMT",
"version": "v1"
}
] | 2016-12-01 | [
[
"Li",
"Qunwei",
""
],
[
"Kailkhura",
"Bhavya",
""
],
[
"Thiagarajan",
"Jayaraman J.",
""
],
[
"Zhang",
"Zhenliang",
""
],
[
"Varshney",
"Pramod K.",
""
]
] | Influential node detection is a central research topic in social network analysis. Many existing methods rely on the assumption that the network structure is completely known \textit{a priori}. However, in many applications, network structure is unavailable to explain the underlying information diffusion phenomenon. To... |
2402.01342 | Zexi Li | Zexi Li, Zhiqi Li, Jie Lin, Tao Shen, Tao Lin, Chao Wu | Training-time Neuron Alignment through Permutation Subspace for
Improving Linear Mode Connectivity and Model Fusion | preprint | null | null | null | cs.LG stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | In deep learning, stochastic gradient descent often yields functionally
similar yet widely scattered solutions in the weight space even under the same
initialization, causing barriers in the Linear Mode Connectivity (LMC)
landscape. Overcoming these barriers is crucial for understanding deep learning
dynamics and enh... | [
{
"created": "Fri, 2 Feb 2024 11:57:50 GMT",
"version": "v1"
}
] | 2024-02-05 | [
[
"Li",
"Zexi",
""
],
[
"Li",
"Zhiqi",
""
],
[
"Lin",
"Jie",
""
],
[
"Shen",
"Tao",
""
],
[
"Lin",
"Tao",
""
],
[
"Wu",
"Chao",
""
]
] | In deep learning, stochastic gradient descent often yields functionally similar yet widely scattered solutions in the weight space even under the same initialization, causing barriers in the Linear Mode Connectivity (LMC) landscape. Overcoming these barriers is crucial for understanding deep learning dynamics and enhan... |
1701.03041 | Matthew Veres | Matthew Veres, Medhat Moussa, Graham W. Taylor | Modeling Grasp Motor Imagery through Deep Conditional Generative Models | Accepted for publication in Robotics and Automation Letters (RA-L) | null | null | null | cs.RO stat.ML | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Grasping is a complex process involving knowledge of the object, the
surroundings, and of oneself. While humans are able to integrate and process
all of the sensory information required for performing this task, equipping
machines with this capability is an extremely challenging endeavor. In this
paper, we investigat... | [
{
"created": "Wed, 11 Jan 2017 16:20:39 GMT",
"version": "v1"
}
] | 2017-01-12 | [
[
"Veres",
"Matthew",
""
],
[
"Moussa",
"Medhat",
""
],
[
"Taylor",
"Graham W.",
""
]
] | Grasping is a complex process involving knowledge of the object, the surroundings, and of oneself. While humans are able to integrate and process all of the sensory information required for performing this task, equipping machines with this capability is an extremely challenging endeavor. In this paper, we investigate ... |
2404.04531 | Xianping Ma | Xianping Ma, Xiaokang Zhang, Xingchen Ding, Man-On Pun, Siwei Ma | Frequency Decomposition-Driven Unsupervised Domain Adaptation for Remote
Sensing Image Semantic Segmentation | 28 pages, 13 figures | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Cross-domain semantic segmentation of remote sensing (RS) imagery based on
unsupervised domain adaptation (UDA) techniques has significantly advanced
deep-learning applications in the geosciences. Recently, with its ingenious and
versatile architecture, the Transformer model has been successfully applied in
RS-UDA ta... | [
{
"created": "Sat, 6 Apr 2024 07:13:49 GMT",
"version": "v1"
}
] | 2024-04-09 | [
[
"Ma",
"Xianping",
""
],
[
"Zhang",
"Xiaokang",
""
],
[
"Ding",
"Xingchen",
""
],
[
"Pun",
"Man-On",
""
],
[
"Ma",
"Siwei",
""
]
] | Cross-domain semantic segmentation of remote sensing (RS) imagery based on unsupervised domain adaptation (UDA) techniques has significantly advanced deep-learning applications in the geosciences. Recently, with its ingenious and versatile architecture, the Transformer model has been successfully applied in RS-UDA task... |
2401.17482 | Workneh Yilma Ayele | Johan Sandell, Einar Asplund, Workneh Yilma Ayele, Martin Duneld | Performance Comparison Analysis of ArangoDB, MySQL, and Neo4j: An
Experimental Study of Querying Connected Data | https://hdl.handle.net/10125/107319 | 2024, Proceedings of the 57th Hawaii International Conference on
System Sciences | null | null | cs.DB | http://creativecommons.org/licenses/by-nc-nd/4.0/ | Choosing and developing performant database solutions helps organizations
optimize their operational practices and decision-making. Since graph data is
becoming more common, it is crucial to develop and use them in big data with
complex relationships with high and consistent performance. However, legacy
database tech... | [
{
"created": "Tue, 30 Jan 2024 22:35:26 GMT",
"version": "v1"
}
] | 2024-02-01 | [
[
"Sandell",
"Johan",
""
],
[
"Asplund",
"Einar",
""
],
[
"Ayele",
"Workneh Yilma",
""
],
[
"Duneld",
"Martin",
""
]
] | Choosing and developing performant database solutions helps organizations optimize their operational practices and decision-making. Since graph data is becoming more common, it is crucial to develop and use them in big data with complex relationships with high and consistent performance. However, legacy database techno... |
2007.01951 | Liwei Wang | Liwei Wang, Jing Huang, Yin Li, Kun Xu, Zhengyuan Yang, Dong Yu | Improving Weakly Supervised Visual Grounding by Contrastive Knowledge
Distillation | null | null | null | null | cs.CV cs.LG | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Weakly supervised phrase grounding aims at learning region-phrase
correspondences using only image-sentence pairs. A major challenge thus lies in
the missing links between image regions and sentence phrases during training.
To address this challenge, we leverage a generic object detector at training
time, and propose... | [
{
"created": "Fri, 3 Jul 2020 22:02:00 GMT",
"version": "v1"
},
{
"created": "Sun, 25 Apr 2021 05:11:11 GMT",
"version": "v2"
}
] | 2021-04-27 | [
[
"Wang",
"Liwei",
""
],
[
"Huang",
"Jing",
""
],
[
"Li",
"Yin",
""
],
[
"Xu",
"Kun",
""
],
[
"Yang",
"Zhengyuan",
""
],
[
"Yu",
"Dong",
""
]
] | Weakly supervised phrase grounding aims at learning region-phrase correspondences using only image-sentence pairs. A major challenge thus lies in the missing links between image regions and sentence phrases during training. To address this challenge, we leverage a generic object detector at training time, and propose a... |
2407.15787 | Yike Zhang | Yike Zhang, Dingjie Su, Eduardo Davalos, Jack H. Noble | Unsupervised Mastoidectomy for Cochlear CT Mesh Reconstruction Using
Highly Noisy Data | null | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Cochlear Implant (CI) procedures involve inserting an array of electrodes
into the cochlea located inside the inner ear. Mastoidectomy is a surgical
procedure that uses a high-speed drill to remove part of the mastoid region of
the temporal bone, providing safe access to the cochlea through the middle and
inner ear. ... | [
{
"created": "Mon, 22 Jul 2024 16:47:29 GMT",
"version": "v1"
},
{
"created": "Thu, 8 Aug 2024 14:33:12 GMT",
"version": "v2"
}
] | 2024-08-09 | [
[
"Zhang",
"Yike",
""
],
[
"Su",
"Dingjie",
""
],
[
"Davalos",
"Eduardo",
""
],
[
"Noble",
"Jack H.",
""
]
] | Cochlear Implant (CI) procedures involve inserting an array of electrodes into the cochlea located inside the inner ear. Mastoidectomy is a surgical procedure that uses a high-speed drill to remove part of the mastoid region of the temporal bone, providing safe access to the cochlea through the middle and inner ear. We... |
2403.00592 | Zhaochong An | Zhaochong An, Guolei Sun, Yun Liu, Fayao Liu, Zongwei Wu, Dan Wang,
Luc Van Gool, Serge Belongie | Rethinking Few-shot 3D Point Cloud Semantic Segmentation | Accepted to CVPR 2024 | null | null | null | cs.CV | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | This paper revisits few-shot 3D point cloud semantic segmentation (FS-PCS),
with a focus on two significant issues in the state-of-the-art: foreground
leakage and sparse point distribution. The former arises from non-uniform point
sampling, allowing models to distinguish the density disparities between
foreground and... | [
{
"created": "Fri, 1 Mar 2024 15:14:47 GMT",
"version": "v1"
}
] | 2024-03-04 | [
[
"An",
"Zhaochong",
""
],
[
"Sun",
"Guolei",
""
],
[
"Liu",
"Yun",
""
],
[
"Liu",
"Fayao",
""
],
[
"Wu",
"Zongwei",
""
],
[
"Wang",
"Dan",
""
],
[
"Van Gool",
"Luc",
""
],
[
"Belongie",
"Serge",
... | This paper revisits few-shot 3D point cloud semantic segmentation (FS-PCS), with a focus on two significant issues in the state-of-the-art: foreground leakage and sparse point distribution. The former arises from non-uniform point sampling, allowing models to distinguish the density disparities between foreground and b... |
2311.17910 | Muhammed Kocabas | Muhammed Kocabas, Jen-Hao Rick Chang, James Gabriel, Oncel Tuzel,
Anurag Ranjan | HUGS: Human Gaussian Splats | null | null | null | null | cs.CV cs.GR | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Recent advances in neural rendering have improved both training and rendering
times by orders of magnitude. While these methods demonstrate state-of-the-art
quality and speed, they are designed for photogrammetry of static scenes and do
not generalize well to freely moving humans in the environment. In this work,
we ... | [
{
"created": "Wed, 29 Nov 2023 18:56:32 GMT",
"version": "v1"
}
] | 2023-11-30 | [
[
"Kocabas",
"Muhammed",
""
],
[
"Chang",
"Jen-Hao Rick",
""
],
[
"Gabriel",
"James",
""
],
[
"Tuzel",
"Oncel",
""
],
[
"Ranjan",
"Anurag",
""
]
] | Recent advances in neural rendering have improved both training and rendering times by orders of magnitude. While these methods demonstrate state-of-the-art quality and speed, they are designed for photogrammetry of static scenes and do not generalize well to freely moving humans in the environment. In this work, we in... |
2308.00939 | Xinze Li | Xinze Li, Kezhi Mao, Fanfan Lin, Zijian Feng | Feature-aware conditional GAN for category text generation | 27 pages, 8 figures | null | 10.1016/j.neucom.2023.126352 | null | cs.CL cs.AI | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Category text generation receives considerable attentions since it is
beneficial for various natural language processing tasks. Recently, the
generative adversarial network (GAN) has attained promising performance in text
generation, attributed to its adversarial training process. However, there are
several issues in... | [
{
"created": "Wed, 2 Aug 2023 04:43:54 GMT",
"version": "v1"
}
] | 2023-08-03 | [
[
"Li",
"Xinze",
""
],
[
"Mao",
"Kezhi",
""
],
[
"Lin",
"Fanfan",
""
],
[
"Feng",
"Zijian",
""
]
] | Category text generation receives considerable attentions since it is beneficial for various natural language processing tasks. Recently, the generative adversarial network (GAN) has attained promising performance in text generation, attributed to its adversarial training process. However, there are several issues in t... |
2101.12736 | Osman Ramadan | Osman Ramadan, James Withers, Douglas Orr | N-grams Bayesian Differential Privacy | 12 pages, 6 figures | null | null | null | cs.CR cs.CL | http://arxiv.org/licenses/nonexclusive-distrib/1.0/ | Differential privacy has gained popularity in machine learning as a strong
privacy guarantee, in contrast to privacy mitigation techniques such as
k-anonymity. However, applying differential privacy to n-gram counts
significantly degrades the utility of derived language models due to their
large vocabularies. We prop... | [
{
"created": "Fri, 29 Jan 2021 18:48:49 GMT",
"version": "v1"
}
] | 2021-02-01 | [
[
"Ramadan",
"Osman",
""
],
[
"Withers",
"James",
""
],
[
"Orr",
"Douglas",
""
]
] | Differential privacy has gained popularity in machine learning as a strong privacy guarantee, in contrast to privacy mitigation techniques such as k-anonymity. However, applying differential privacy to n-gram counts significantly degrades the utility of derived language models due to their large vocabularies. We propos... |
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