id
stringlengths
9
10
submitter
stringlengths
1
64
authors
stringlengths
4
20.7k
title
stringlengths
4
246
comments
stringlengths
1
523
journal-ref
stringlengths
4
404
doi
stringlengths
11
153
report-no
stringlengths
2
254
categories
stringlengths
5
98
license
stringclasses
9 values
orig_abstract
stringlengths
14
3.35k
versions
listlengths
1
60
update_date
stringlengths
10
10
authors_parsed
listlengths
1
1.35k
abstract
stringlengths
11
3.34k
2212.04690
Mingu Kang
Mingu Kang, Heon Song, Seonwook Park, Donggeun Yoo, S\'ergio Pereira
Benchmarking Self-Supervised Learning on Diverse Pathology Datasets
Accepted to CVPR 2023
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Computational pathology can lead to saving human lives, but models are annotation hungry and pathology images are notoriously expensive to annotate. Self-supervised learning has shown to be an effective method for utilizing unlabeled data, and its application to pathology could greatly benefit its downstream tasks. Y...
[ { "created": "Fri, 9 Dec 2022 06:38:34 GMT", "version": "v1" }, { "created": "Tue, 18 Apr 2023 15:07:46 GMT", "version": "v2" } ]
2023-04-19
[ [ "Kang", "Mingu", "" ], [ "Song", "Heon", "" ], [ "Park", "Seonwook", "" ], [ "Yoo", "Donggeun", "" ], [ "Pereira", "Sérgio", "" ] ]
Computational pathology can lead to saving human lives, but models are annotation hungry and pathology images are notoriously expensive to annotate. Self-supervised learning has shown to be an effective method for utilizing unlabeled data, and its application to pathology could greatly benefit its downstream tasks. Yet...
2206.07080
Carl Corea
Carl Corea, John Grant, Matthias Thimm
Measuring Inconsistency in Declarative Process Specifications
null
null
null
null
cs.AI
http://creativecommons.org/licenses/by/4.0/
We address the problem of measuring inconsistency in declarative process specifications, with an emphasis on linear temporal logic on fixed traces (LTLff). As we will show, existing inconsistency measures for classical logic cannot provide a meaningful assessment of inconsistency in LTL in general, as they cannot ade...
[ { "created": "Tue, 14 Jun 2022 18:08:49 GMT", "version": "v1" } ]
2022-06-16
[ [ "Corea", "Carl", "" ], [ "Grant", "John", "" ], [ "Thimm", "Matthias", "" ] ]
We address the problem of measuring inconsistency in declarative process specifications, with an emphasis on linear temporal logic on fixed traces (LTLff). As we will show, existing inconsistency measures for classical logic cannot provide a meaningful assessment of inconsistency in LTL in general, as they cannot adequ...
2206.00113
Daniel Hernandez Dr
Daniel Hernandez, Hendrik Baier, Michael Kaisers
BRExIt: On Opponent Modelling in Expert Iteration
null
null
null
null
cs.AI cs.GT
http://creativecommons.org/publicdomain/zero/1.0/
Finding a best response policy is a central objective in game theory and multi-agent learning, with modern population-based training approaches employing reinforcement learning algorithms as best-response oracles to improve play against candidate opponents (typically previously learnt policies). We propose Best Respo...
[ { "created": "Tue, 31 May 2022 20:49:10 GMT", "version": "v1" }, { "created": "Tue, 25 Apr 2023 15:31:34 GMT", "version": "v2" } ]
2023-04-26
[ [ "Hernandez", "Daniel", "" ], [ "Baier", "Hendrik", "" ], [ "Kaisers", "Michael", "" ] ]
Finding a best response policy is a central objective in game theory and multi-agent learning, with modern population-based training approaches employing reinforcement learning algorithms as best-response oracles to improve play against candidate opponents (typically previously learnt policies). We propose Best Respons...
1006.5299
Yao Sun
Yao Sun and Dingkang Wang
The F5 Algorithm in Buchberger's Style
null
null
null
null
cs.SC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The famous F5 algorithm for computing \gr basis was presented by Faug\`ere in 2002. The original version of F5 is given in programming codes, so it is a bit difficult to understand. In this paper, the F5 algorithm is simplified as F5B in a Buchberger's style such that it is easy to understand and implement. In order ...
[ { "created": "Mon, 28 Jun 2010 09:23:32 GMT", "version": "v1" }, { "created": "Wed, 29 Dec 2010 01:47:14 GMT", "version": "v2" } ]
2010-12-30
[ [ "Sun", "Yao", "" ], [ "Wang", "Dingkang", "" ] ]
The famous F5 algorithm for computing \gr basis was presented by Faug\`ere in 2002. The original version of F5 is given in programming codes, so it is a bit difficult to understand. In this paper, the F5 algorithm is simplified as F5B in a Buchberger's style such that it is easy to understand and implement. In order to...
1901.02720
Rasmus Vestergaard
Rasmus Vestergaard, Qi Zhang, Daniel E. Lucani
Generalized Deduplication: Bounds, Convergence, and Asymptotic Properties
15 pages, 4 figures. This is the full version of a paper accepted for GLOBECOM 2019
null
10.1109/GLOBECOM38437.2019.9014012
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study a generalization of deduplication, which enables lossless deduplication of highly similar data and show that standard deduplication with fixed chunk length is a special case. We provide bounds on the expected length of coded sequences for generalized deduplication and show that the coding has asymptotic near...
[ { "created": "Wed, 9 Jan 2019 13:17:06 GMT", "version": "v1" }, { "created": "Thu, 17 Jan 2019 10:14:50 GMT", "version": "v2" }, { "created": "Mon, 29 Apr 2019 06:23:02 GMT", "version": "v3" }, { "created": "Wed, 7 Aug 2019 09:44:47 GMT", "version": "v4" } ]
2020-03-04
[ [ "Vestergaard", "Rasmus", "" ], [ "Zhang", "Qi", "" ], [ "Lucani", "Daniel E.", "" ] ]
We study a generalization of deduplication, which enables lossless deduplication of highly similar data and show that standard deduplication with fixed chunk length is a special case. We provide bounds on the expected length of coded sequences for generalized deduplication and show that the coding has asymptotic near-e...
2101.07541
Malisa Vucinic
Jelena Kova\v{c} (UCG), Jovan Crnogorac (UCG), Enis Ko\v{c}an (UCG), Malisa Vucinic (EVA)
Sniffing Multi-hop Multi-channel Wireless Sensor Networks
2020 28th Telecommunications Forum (TELFOR), Nov 2020, Belgrade, Serbia
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
As wireless sensor networks grow larger, more complex and their role more significant, it becomes necessary to have an insight into the network traffic. For this purpose, sniffers play an irreplaceable role. Since a sniffer is a device of limited range, to cover a multi-hop network it is necessary to consider the dep...
[ { "created": "Tue, 19 Jan 2021 10:02:11 GMT", "version": "v1" } ]
2021-01-20
[ [ "Kovač", "Jelena", "", "UCG" ], [ "Crnogorac", "Jovan", "", "UCG" ], [ "Kočan", "Enis", "", "UCG" ], [ "Vucinic", "Malisa", "", "EVA" ] ]
As wireless sensor networks grow larger, more complex and their role more significant, it becomes necessary to have an insight into the network traffic. For this purpose, sniffers play an irreplaceable role. Since a sniffer is a device of limited range, to cover a multi-hop network it is necessary to consider the deplo...
2108.13927
Michiel de Bondt
Stijn Cambie, Michiel de Bondt, and Henk Don
Extremal Binary PFAs with Small Number of States
Even more extended than the IJFCS publication referenced below, which is an extended version of a publication in the proceedings of DLT 2021 titled 'Extremal Binary PFAs in a Cerny Family'
International Journal of Foundations of Computer Science, Vol. 34, No. 02n03, pp. 85-115 (2023)
10.1142/S0129054122440038
null
cs.FL
http://creativecommons.org/licenses/by/4.0/
The largest known reset thresholds for DFAs are equal to $(n-1)^2$, where $n$ is the number of states. This is conjectured to be the maximum possible. PFAs (with partial transition function) can have exponentially large reset thresholds. This is still true if we restrict to binary PFAs. However, asymptotics do not gi...
[ { "created": "Wed, 25 Aug 2021 07:37:51 GMT", "version": "v1" }, { "created": "Thu, 6 Jan 2022 08:53:55 GMT", "version": "v2" }, { "created": "Sat, 15 Apr 2023 17:31:21 GMT", "version": "v3" } ]
2023-04-18
[ [ "Cambie", "Stijn", "" ], [ "de Bondt", "Michiel", "" ], [ "Don", "Henk", "" ] ]
The largest known reset thresholds for DFAs are equal to $(n-1)^2$, where $n$ is the number of states. This is conjectured to be the maximum possible. PFAs (with partial transition function) can have exponentially large reset thresholds. This is still true if we restrict to binary PFAs. However, asymptotics do not give...
cs/0306106
Joseph Y. Halpern
Joseph Y. Halpern
Lexicographic probability, conditional probability, and nonstandard probability
A preliminary version appears in Proceedings of the Eighth Conference on Theoretical Aspects of Rationality and Knowledge, 2001, pp. 17--30. The final version will appear in Games and Economic Behavior
null
null
null
cs.GT cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The relationship between Popper spaces (conditional probability spaces that satisfy some regularity conditions), lexicographic probability systems (LPS's), and nonstandard probability spaces (NPS's) is considered. If countable additivity is assumed, Popper spaces and a subclass of LPS's are equivalent; without the as...
[ { "created": "Tue, 17 Jun 2003 22:11:36 GMT", "version": "v1" }, { "created": "Wed, 22 Apr 2009 11:32:53 GMT", "version": "v2" } ]
2009-04-22
[ [ "Halpern", "Joseph Y.", "" ] ]
The relationship between Popper spaces (conditional probability spaces that satisfy some regularity conditions), lexicographic probability systems (LPS's), and nonstandard probability spaces (NPS's) is considered. If countable additivity is assumed, Popper spaces and a subclass of LPS's are equivalent; without the assu...
cs/0504105
G Gordon Worley III
G Gordon Worley III
Wikis in Tuple Spaces
To appear at WMSCI 2005
null
null
null
cs.DC cs.MM
null
We consider storing the pages of a wiki in a tuple space and the effects this might have on the wiki experience. In particular, wiki pages are stored in tuples with a few identifying values such as title, author, revision date, content, etc. and pages are retrieved by sending the tuple space templates, such as one th...
[ { "created": "Wed, 27 Apr 2005 23:04:35 GMT", "version": "v1" } ]
2007-05-23
[ [ "Worley", "G Gordon", "III" ] ]
We consider storing the pages of a wiki in a tuple space and the effects this might have on the wiki experience. In particular, wiki pages are stored in tuples with a few identifying values such as title, author, revision date, content, etc. and pages are retrieved by sending the tuple space templates, such as one that...
2208.10322
Shanshan Zhong
Shanshan Zhong, Wushao Wen, Jinghui Qin
Mix-Pooling Strategy for Attention Mechanism
Work in progress
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recently many effective attention modules are proposed to boot the model performance by exploiting the internal information of convolutional neural networks in computer vision. In general, many previous works ignore considering the design of the pooling strategy of the attention mechanism since they adopt the global ...
[ { "created": "Mon, 22 Aug 2022 14:01:42 GMT", "version": "v1" }, { "created": "Sun, 23 Oct 2022 03:01:03 GMT", "version": "v2" } ]
2022-10-25
[ [ "Zhong", "Shanshan", "" ], [ "Wen", "Wushao", "" ], [ "Qin", "Jinghui", "" ] ]
Recently many effective attention modules are proposed to boot the model performance by exploiting the internal information of convolutional neural networks in computer vision. In general, many previous works ignore considering the design of the pooling strategy of the attention mechanism since they adopt the global av...
2406.01439
Bart Cox
Yuncong Zuo, Bart Cox, Lydia Y. Chen, J\'er\'emie Decouchant
Asynchronous Multi-Server Federated Learning for Geo-Distributed Clients
null
null
null
null
cs.LG cs.DC
http://creativecommons.org/licenses/by-sa/4.0/
Federated learning (FL) systems enable multiple clients to train a machine learning model iteratively through synchronously exchanging the intermediate model weights with a single server. The scalability of such FL systems can be limited by two factors: server idle time due to synchronous communication and the risk o...
[ { "created": "Mon, 3 Jun 2024 15:29:46 GMT", "version": "v1" }, { "created": "Thu, 20 Jun 2024 12:04:28 GMT", "version": "v2" } ]
2024-06-21
[ [ "Zuo", "Yuncong", "" ], [ "Cox", "Bart", "" ], [ "Chen", "Lydia Y.", "" ], [ "Decouchant", "Jérémie", "" ] ]
Federated learning (FL) systems enable multiple clients to train a machine learning model iteratively through synchronously exchanging the intermediate model weights with a single server. The scalability of such FL systems can be limited by two factors: server idle time due to synchronous communication and the risk of ...
2001.00594
Changwei Hu
Yao Zhan, Changwei Hu, Yifan Hu, Tejaswi Kasturi, Shanmugam Ramasamy, Matt Gillingham, Keith Yamamoto
Large-scale Gender/Age Prediction of Tumblr Users
null
IEEE ICMLA 2019
null
null
cs.LG cs.SI stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Tumblr, as a leading content provider and social media, attracts 371 million monthly visits, 280 million blogs and 53.3 million daily posts. The popularity of Tumblr provides great opportunities for advertisers to promote their products through sponsored posts. However, it is a challenging task to target specific dem...
[ { "created": "Thu, 2 Jan 2020 19:01:45 GMT", "version": "v1" } ]
2020-01-06
[ [ "Zhan", "Yao", "" ], [ "Hu", "Changwei", "" ], [ "Hu", "Yifan", "" ], [ "Kasturi", "Tejaswi", "" ], [ "Ramasamy", "Shanmugam", "" ], [ "Gillingham", "Matt", "" ], [ "Yamamoto", "Keith", "" ] ]
Tumblr, as a leading content provider and social media, attracts 371 million monthly visits, 280 million blogs and 53.3 million daily posts. The popularity of Tumblr provides great opportunities for advertisers to promote their products through sponsored posts. However, it is a challenging task to target specific demog...
1701.08256
Philipp Kemkes
Nattiya Kanhabua, Philipp Kemkes, Wolfgang Nejdl, Tu Ngoc Nguyen, Felipe Reis, Nam Khanh Tran
How to Search the Internet Archive Without Indexing It
null
20th International Conference on Theory and Practice of Digital Libraries, TPDL 2016, Proceedings, pp 147-160
10.1007/978-3-319-43997-6_12
null
cs.DL cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Significant parts of cultural heritage are produced on the web during the last decades. While easy accessibility to the current web is a good baseline, optimal access to the past web faces several challenges. This includes dealing with large-scale web archive collections and lacking of usage logs that contain implici...
[ { "created": "Sat, 28 Jan 2017 05:46:46 GMT", "version": "v1" } ]
2017-01-31
[ [ "Kanhabua", "Nattiya", "" ], [ "Kemkes", "Philipp", "" ], [ "Nejdl", "Wolfgang", "" ], [ "Nguyen", "Tu Ngoc", "" ], [ "Reis", "Felipe", "" ], [ "Tran", "Nam Khanh", "" ] ]
Significant parts of cultural heritage are produced on the web during the last decades. While easy accessibility to the current web is a good baseline, optimal access to the past web faces several challenges. This includes dealing with large-scale web archive collections and lacking of usage logs that contain implicit ...
1612.04790
Vishnu Narayan
Vishnu V. Narayan
A 17/12-Approximation Algorithm for 2-Vertex-Connected Spanning Subgraphs on Graphs with Minimum Degree At Least 3
Revised Lemma 1 and Theorem 2, results unchanged
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We obtain a polynomial-time 17/12-approximation algorithm for the minimum-cost 2-vertex-connected spanning subgraph problem, restricted to graphs of minimum degree at least 3. Our algorithm uses the framework of ear-decompositions for approximating connectivity problems, which was previously used in algorithms for fi...
[ { "created": "Wed, 14 Dec 2016 20:07:40 GMT", "version": "v1" }, { "created": "Tue, 17 Jan 2017 18:25:21 GMT", "version": "v2" } ]
2017-01-18
[ [ "Narayan", "Vishnu V.", "" ] ]
We obtain a polynomial-time 17/12-approximation algorithm for the minimum-cost 2-vertex-connected spanning subgraph problem, restricted to graphs of minimum degree at least 3. Our algorithm uses the framework of ear-decompositions for approximating connectivity problems, which was previously used in algorithms for find...
2401.11430
Zhongqi Yue
Zhongqi Yue, Jiankun Wang, Qianru Sun, Lei Ji, Eric I-Chao Chang, Hanwang Zhang
Exploring Diffusion Time-steps for Unsupervised Representation Learning
Accepted by ICLR 2024
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Representation learning is all about discovering the hidden modular attributes that generate the data faithfully. We explore the potential of Denoising Diffusion Probabilistic Model (DM) in unsupervised learning of the modular attributes. We build a theoretical framework that connects the diffusion time-steps and the...
[ { "created": "Sun, 21 Jan 2024 08:35:25 GMT", "version": "v1" } ]
2024-01-23
[ [ "Yue", "Zhongqi", "" ], [ "Wang", "Jiankun", "" ], [ "Sun", "Qianru", "" ], [ "Ji", "Lei", "" ], [ "Chang", "Eric I-Chao", "" ], [ "Zhang", "Hanwang", "" ] ]
Representation learning is all about discovering the hidden modular attributes that generate the data faithfully. We explore the potential of Denoising Diffusion Probabilistic Model (DM) in unsupervised learning of the modular attributes. We build a theoretical framework that connects the diffusion time-steps and the h...
1803.00188
Graham Neubig
Graham Neubig, Matthias Sperber, Xinyi Wang, Matthieu Felix, Austin Matthews, Sarguna Padmanabhan, Ye Qi, Devendra Singh Sachan, Philip Arthur, Pierre Godard, John Hewitt, Rachid Riad, Liming Wang
XNMT: The eXtensible Neural Machine Translation Toolkit
To be presented at AMTA 2018 Open Source Software Showcase
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper describes XNMT, the eXtensible Neural Machine Translation toolkit. XNMT distin- guishes itself from other open-source NMT toolkits by its focus on modular code design, with the purpose of enabling fast iteration in research and replicable, reliable results. In this paper we describe the design of XNMT and ...
[ { "created": "Thu, 1 Mar 2018 03:14:54 GMT", "version": "v1" } ]
2018-03-02
[ [ "Neubig", "Graham", "" ], [ "Sperber", "Matthias", "" ], [ "Wang", "Xinyi", "" ], [ "Felix", "Matthieu", "" ], [ "Matthews", "Austin", "" ], [ "Padmanabhan", "Sarguna", "" ], [ "Qi", "Ye", "" ], [ "...
This paper describes XNMT, the eXtensible Neural Machine Translation toolkit. XNMT distin- guishes itself from other open-source NMT toolkits by its focus on modular code design, with the purpose of enabling fast iteration in research and replicable, reliable results. In this paper we describe the design of XNMT and it...
2201.04100
Yang Li
Gang Li, Gilles Baechler, Manuel Tragut, Yang Li
Learning to Denoise Raw Mobile UI Layouts for Improving Datasets at Scale
Accepted to ACM CHI 2022
null
null
null
cs.HC cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The layout of a mobile screen is a critical data source for UI design research and semantic understanding of the screen. However, UI layouts in existing datasets are often noisy, have mismatches with their visual representation, or consists of generic or app-specific types that are difficult to analyze and model. In ...
[ { "created": "Tue, 11 Jan 2022 17:52:40 GMT", "version": "v1" }, { "created": "Thu, 13 Jan 2022 17:53:31 GMT", "version": "v2" } ]
2022-01-14
[ [ "Li", "Gang", "" ], [ "Baechler", "Gilles", "" ], [ "Tragut", "Manuel", "" ], [ "Li", "Yang", "" ] ]
The layout of a mobile screen is a critical data source for UI design research and semantic understanding of the screen. However, UI layouts in existing datasets are often noisy, have mismatches with their visual representation, or consists of generic or app-specific types that are difficult to analyze and model. In th...
2403.19456
Yu Xu
Yu Xu, Fan Tang, Juan Cao, Yuxin Zhang, Oliver Deussen, Weiming Dong, Jintao Li, Tong-Yee Lee
Break-for-Make: Modular Low-Rank Adaptations for Composable Content-Style Customization
null
null
null
null
cs.CV cs.GR cs.MM
http://creativecommons.org/licenses/by/4.0/
Personalized generation paradigms empower designers to customize visual intellectual properties with the help of textual descriptions by tuning or adapting pre-trained text-to-image models on a few images. Recent works explore approaches for concurrently customizing both content and detailed visual style appearance. ...
[ { "created": "Thu, 28 Mar 2024 14:27:36 GMT", "version": "v1" }, { "created": "Sun, 31 Mar 2024 13:26:11 GMT", "version": "v2" } ]
2024-04-02
[ [ "Xu", "Yu", "" ], [ "Tang", "Fan", "" ], [ "Cao", "Juan", "" ], [ "Zhang", "Yuxin", "" ], [ "Deussen", "Oliver", "" ], [ "Dong", "Weiming", "" ], [ "Li", "Jintao", "" ], [ "Lee", "Tong-Yee", ...
Personalized generation paradigms empower designers to customize visual intellectual properties with the help of textual descriptions by tuning or adapting pre-trained text-to-image models on a few images. Recent works explore approaches for concurrently customizing both content and detailed visual style appearance. Ho...
2101.04388
Akshayaa Magesh
Meghana Bande, Akshayaa Magesh, Venugopal V. Veeravalli
Dynamic Spectrum Access using Stochastic Multi-User Bandits
null
null
null
null
cs.IT math.IT stat.ML
http://creativecommons.org/licenses/by/4.0/
A stochastic multi-user multi-armed bandit framework is used to develop algorithms for uncoordinated spectrum access. In contrast to prior work, it is assumed that rewards can be non-zero even under collisions, thus allowing for the number of users to be greater than the number of channels. The proposed algorithm con...
[ { "created": "Tue, 12 Jan 2021 10:29:57 GMT", "version": "v1" } ]
2021-01-13
[ [ "Bande", "Meghana", "" ], [ "Magesh", "Akshayaa", "" ], [ "Veeravalli", "Venugopal V.", "" ] ]
A stochastic multi-user multi-armed bandit framework is used to develop algorithms for uncoordinated spectrum access. In contrast to prior work, it is assumed that rewards can be non-zero even under collisions, thus allowing for the number of users to be greater than the number of channels. The proposed algorithm consi...
2008.06651
Lichang Chen
Lichang Chen, Guosheng Lin, Shijie Wang, Qingyao Wu
Graph Edit Distance Reward: Learning to Edit Scene Graph
14 pages, 6 figures, ECCV camera ready version
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Scene Graph, as a vital tool to bridge the gap between language domain and image domain, has been widely adopted in the cross-modality task like VQA. In this paper, we propose a new method to edit the scene graph according to the user instructions, which has never been explored. To be specific, in order to learn edit...
[ { "created": "Sat, 15 Aug 2020 04:52:16 GMT", "version": "v1" } ]
2020-08-18
[ [ "Chen", "Lichang", "" ], [ "Lin", "Guosheng", "" ], [ "Wang", "Shijie", "" ], [ "Wu", "Qingyao", "" ] ]
Scene Graph, as a vital tool to bridge the gap between language domain and image domain, has been widely adopted in the cross-modality task like VQA. In this paper, we propose a new method to edit the scene graph according to the user instructions, which has never been explored. To be specific, in order to learn editin...
2206.08182
Adrian Pfleiderer
Adrian Pfleiderer, Dominik M\"uller, Frank Kramer
Nucleus Segmentation and Analysis in Breast Cancer with the MIScnn Framework
null
null
null
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The NuCLS dataset contains over 220.000 annotations of cell nuclei in breast cancers. We show how to use these data to create a multi-rater model with the MIScnn Framework to automate the analysis of cell nuclei. For the model creation, we use the widespread U-Net approach embedded in a pipeline. This pipeline provid...
[ { "created": "Thu, 16 Jun 2022 13:51:19 GMT", "version": "v1" }, { "created": "Wed, 23 Nov 2022 09:51:07 GMT", "version": "v2" }, { "created": "Wed, 1 Feb 2023 16:53:32 GMT", "version": "v3" } ]
2023-02-02
[ [ "Pfleiderer", "Adrian", "" ], [ "Müller", "Dominik", "" ], [ "Kramer", "Frank", "" ] ]
The NuCLS dataset contains over 220.000 annotations of cell nuclei in breast cancers. We show how to use these data to create a multi-rater model with the MIScnn Framework to automate the analysis of cell nuclei. For the model creation, we use the widespread U-Net approach embedded in a pipeline. This pipeline provides...
2204.07897
Naba Rizvi
Naba Rizvi, Harshini Ramaswamy, Reggie Casanova-Perez, Andrea Hartzler, Nadir Weibel
Making Hidden Bias Visible: Designing a Feedback Ecosystem for Primary Care Providers
6 pages, 2 figures, 2 tables, CHI 2022 Workshop Publication (Complex Health Ecosystems)
null
null
null
cs.HC
http://creativecommons.org/licenses/by/4.0/
Implicit bias may perpetuate healthcare disparities for marginalized patient populations. Such bias is expressed in communication between patients and their providers. We design an ecosystem with guidance from providers to make this bias explicit in patient-provider communication. Our end users are providers seeking ...
[ { "created": "Sun, 17 Apr 2022 01:32:19 GMT", "version": "v1" } ]
2022-04-19
[ [ "Rizvi", "Naba", "" ], [ "Ramaswamy", "Harshini", "" ], [ "Casanova-Perez", "Reggie", "" ], [ "Hartzler", "Andrea", "" ], [ "Weibel", "Nadir", "" ] ]
Implicit bias may perpetuate healthcare disparities for marginalized patient populations. Such bias is expressed in communication between patients and their providers. We design an ecosystem with guidance from providers to make this bias explicit in patient-provider communication. Our end users are providers seeking to...
2204.07363
James Caddy
James Caddy, Markus Wagner, Christoph Treude, Earl T. Barr, Miltiadis Allamanis
Is Surprisal in Issue Trackers Actionable?
8 pages, 1 figure. Submitted to 2022 International Conference on Mining Software Repositories Registered Reports track
null
null
null
cs.CL cs.SE
http://creativecommons.org/licenses/by/4.0/
Background. From information theory, surprisal is a measurement of how unexpected an event is. Statistical language models provide a probabilistic approximation of natural languages, and because surprisal is constructed with the probability of an event occuring, it is therefore possible to determine the surprisal ass...
[ { "created": "Fri, 15 Apr 2022 07:49:40 GMT", "version": "v1" } ]
2022-04-18
[ [ "Caddy", "James", "" ], [ "Wagner", "Markus", "" ], [ "Treude", "Christoph", "" ], [ "Barr", "Earl T.", "" ], [ "Allamanis", "Miltiadis", "" ] ]
Background. From information theory, surprisal is a measurement of how unexpected an event is. Statistical language models provide a probabilistic approximation of natural languages, and because surprisal is constructed with the probability of an event occuring, it is therefore possible to determine the surprisal assoc...
0906.5114
Hal Daum\'e III
Hal Daum\'e III
Non-Parametric Bayesian Areal Linguistics
null
Proceedings of the Conference of the North American Association for Computational Linguistics, 2009
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We describe a statistical model over linguistic areas and phylogeny. Our model recovers known areas and identifies a plausible hierarchy of areal features. The use of areas improves genetic reconstruction of languages both qualitatively and quantitatively according to a variety of metrics. We model linguistic areas...
[ { "created": "Sun, 28 Jun 2009 02:32:53 GMT", "version": "v1" } ]
2009-06-30
[ [ "Daumé", "Hal", "III" ] ]
We describe a statistical model over linguistic areas and phylogeny. Our model recovers known areas and identifies a plausible hierarchy of areal features. The use of areas improves genetic reconstruction of languages both qualitatively and quantitatively according to a variety of metrics. We model linguistic areas by ...
1405.0109
Vaibhav Jha
Vaibhav Jha, Mohit Jha, GK Sharma
Estimation of Optimized Energy and Latency Constraints for Task Allocation in 3d Network on Chip
20 Pages,17 Figure, International Journal of Computer Science & Information Technology. arXiv admin note: substantial text overlap with arXiv:1404.2512
International Journal of Computer Science & Information Technology Vol 6,No 2,pp 67-86 April 2014
10.5121/ijcsit.2014.6205
null
cs.OH
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In Network on Chip (NoC) rooted system, energy consumption is affected by task scheduling and allocation schemes which affect the performance of the system. In this paper we test the pre-existing proposed algorithms and introduced a new energy skilled algorithm for 3D NoC architecture. An efficient dynamic and cluste...
[ { "created": "Thu, 1 May 2014 07:38:46 GMT", "version": "v1" } ]
2014-05-02
[ [ "Jha", "Vaibhav", "" ], [ "Jha", "Mohit", "" ], [ "Sharma", "GK", "" ] ]
In Network on Chip (NoC) rooted system, energy consumption is affected by task scheduling and allocation schemes which affect the performance of the system. In this paper we test the pre-existing proposed algorithms and introduced a new energy skilled algorithm for 3D NoC architecture. An efficient dynamic and cluster ...
1610.03612
Xiaodong Zhuang
Xiaodong Zhuang, N. E. Mastorakis
The Analysis of Local Motion and Deformation in Image Sequences Inspired by Physical Electromagnetic Interaction
15 pages, 23 figures. arXiv admin note: substantial text overlap with arXiv:1610.03615, arXiv:1610.02762
WSEAS TRANSACTIONS on COMPUTERS, pp. 231-245, Volume 14, 2015
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In order to analyze the moving and deforming of the objects in image sequence, a novel way is presented to analyze the local changes of object edges between two related images (such as two adjacent frames in a video sequence), which is inspired by the physical electromagnetic interaction. The changes of edge between ...
[ { "created": "Wed, 12 Oct 2016 06:39:15 GMT", "version": "v1" } ]
2016-10-13
[ [ "Zhuang", "Xiaodong", "" ], [ "Mastorakis", "N. E.", "" ] ]
In order to analyze the moving and deforming of the objects in image sequence, a novel way is presented to analyze the local changes of object edges between two related images (such as two adjacent frames in a video sequence), which is inspired by the physical electromagnetic interaction. The changes of edge between ad...
1710.00269
Kristina Lerman
Kristina Lerman, Nathan Hodas, Hao Wu
Bounded Rationality in Scholarly Knowledge Discovery
null
null
null
null
cs.DL cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In an information-rich world, people's time and attention must be divided among rapidly changing information sources and the diverse tasks demanded of them. How people decide which of the many sources, such as scientific articles or patents, to read and use in their own work affects dissemination of scholarly knowled...
[ { "created": "Sat, 30 Sep 2017 22:54:13 GMT", "version": "v1" } ]
2017-10-03
[ [ "Lerman", "Kristina", "" ], [ "Hodas", "Nathan", "" ], [ "Wu", "Hao", "" ] ]
In an information-rich world, people's time and attention must be divided among rapidly changing information sources and the diverse tasks demanded of them. How people decide which of the many sources, such as scientific articles or patents, to read and use in their own work affects dissemination of scholarly knowledge...
1607.00575
Jie Gong
Jie Gong, Sheng Zhou, Zhenyu Zhou
Networked MIMO with Fractional Joint Transmission in Energy Harvesting Systems
33 pages, 7 figures, accepted by IEEE Transactions on Communications
null
10.1109/TCOMM.2016.2589267
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper considers two base stations (BSs) powered by renewable energy serving two users cooperatively. With different BS energy arrival rates, a fractional joint transmission (JT) strategy is proposed, which divides each transmission frame into two subframes. In the first subframe, one BS keeps silent to store ene...
[ { "created": "Sun, 3 Jul 2016 01:57:07 GMT", "version": "v1" } ]
2016-11-18
[ [ "Gong", "Jie", "" ], [ "Zhou", "Sheng", "" ], [ "Zhou", "Zhenyu", "" ] ]
This paper considers two base stations (BSs) powered by renewable energy serving two users cooperatively. With different BS energy arrival rates, a fractional joint transmission (JT) strategy is proposed, which divides each transmission frame into two subframes. In the first subframe, one BS keeps silent to store energ...
1805.10410
Ross Hartley
Ross Hartley, Maani Ghaffari Jadidi, Jessy W. Grizzle, and Ryan M. Eustice
Contact-Aided Invariant Extended Kalman Filtering for Legged Robot State Estimation
Published in the proceedings of Robotics: Science and Systems 2018
null
10.15607/RSS.2018.XIV.050
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper derives a contact-aided inertial navigation observer for a 3D bipedal robot using the theory of invariant observer design. Aided inertial navigation is fundamentally a nonlinear observer design problem; thus, current solutions are based on approximations of the system dynamics, such as an Extended Kalman F...
[ { "created": "Sat, 26 May 2018 01:58:02 GMT", "version": "v1" } ]
2019-05-22
[ [ "Hartley", "Ross", "" ], [ "Jadidi", "Maani Ghaffari", "" ], [ "Grizzle", "Jessy W.", "" ], [ "Eustice", "Ryan M.", "" ] ]
This paper derives a contact-aided inertial navigation observer for a 3D bipedal robot using the theory of invariant observer design. Aided inertial navigation is fundamentally a nonlinear observer design problem; thus, current solutions are based on approximations of the system dynamics, such as an Extended Kalman Fil...
2305.07006
Yiheng Shen
Siddhartha Banerjee, Kamesh Munagala, Yiheng Shen, Kangning Wang
Fair Price Discrimination
null
null
null
null
cs.GT cs.DS econ.TH
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A seller is pricing identical copies of a good to a stream of unit-demand buyers. Each buyer has a value on the good as his private information. The seller only knows the empirical value distribution of the buyer population and chooses the revenue-optimal price. We consider a widely studied third-degree price discrim...
[ { "created": "Thu, 11 May 2023 17:45:06 GMT", "version": "v1" } ]
2023-05-12
[ [ "Banerjee", "Siddhartha", "" ], [ "Munagala", "Kamesh", "" ], [ "Shen", "Yiheng", "" ], [ "Wang", "Kangning", "" ] ]
A seller is pricing identical copies of a good to a stream of unit-demand buyers. Each buyer has a value on the good as his private information. The seller only knows the empirical value distribution of the buyer population and chooses the revenue-optimal price. We consider a widely studied third-degree price discrimin...
1210.2457
EPTCS
Daniel Neider (RWTH Aachen University), Roman Rabinovich (RWTH Aachen University), Martin Zimmermann (RWTH Aachen University and University of Warsaw)
Down the Borel Hierarchy: Solving Muller Games via Safety Games
In Proceedings GandALF 2012, arXiv:1210.2028
EPTCS 96, 2012, pp. 169-182
10.4204/EPTCS.96.13
null
cs.LO cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We transform a Muller game with n vertices into a safety game with (n!)^3 vertices whose solution allows to determine the winning regions of the Muller game and to compute a finite-state winning strategy for one player. This yields a novel antichain-based memory structure and a natural notion of permissive strategies...
[ { "created": "Tue, 9 Oct 2012 00:54:33 GMT", "version": "v1" } ]
2012-10-10
[ [ "Neider", "Daniel", "", "RWTH Aachen University" ], [ "Rabinovich", "Roman", "", "RWTH Aachen\n University" ], [ "Zimmermann", "Martin", "", "RWTH Aachen University and University of\n Warsaw" ] ]
We transform a Muller game with n vertices into a safety game with (n!)^3 vertices whose solution allows to determine the winning regions of the Muller game and to compute a finite-state winning strategy for one player. This yields a novel antichain-based memory structure and a natural notion of permissive strategies f...
2406.02148
Qingkai Min
Qingkai Min, Qipeng Guo, Xiangkun Hu, Songfang Huang, Zheng Zhang, Yue Zhang
Synergetic Event Understanding: A Collaborative Approach to Cross-Document Event Coreference Resolution with Large Language Models
Accepted to ACL-24 Main
null
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by/4.0/
Cross-document event coreference resolution (CDECR) involves clustering event mentions across multiple documents that refer to the same real-world events. Existing approaches utilize fine-tuning of small language models (SLMs) like BERT to address the compatibility among the contexts of event mentions. However, due t...
[ { "created": "Tue, 4 Jun 2024 09:35:47 GMT", "version": "v1" } ]
2024-06-05
[ [ "Min", "Qingkai", "" ], [ "Guo", "Qipeng", "" ], [ "Hu", "Xiangkun", "" ], [ "Huang", "Songfang", "" ], [ "Zhang", "Zheng", "" ], [ "Zhang", "Yue", "" ] ]
Cross-document event coreference resolution (CDECR) involves clustering event mentions across multiple documents that refer to the same real-world events. Existing approaches utilize fine-tuning of small language models (SLMs) like BERT to address the compatibility among the contexts of event mentions. However, due to ...
1612.08274
Jinho Lee
Jinho Lee, Brian Kenji Iwana, Shouta Ide, Seiichi Uchida
Globally Optimal Object Tracking with Fully Convolutional Networks
6pages, 8figures
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Tracking is one of the most important but still difficult tasks in computer vision and pattern recognition. The main difficulties in the tracking field are appearance variation and occlusion. Most traditional tracking methods set the parameters or templates to track target objects in advance and should be modified ac...
[ { "created": "Sun, 25 Dec 2016 16:00:40 GMT", "version": "v1" } ]
2016-12-28
[ [ "Lee", "Jinho", "" ], [ "Iwana", "Brian Kenji", "" ], [ "Ide", "Shouta", "" ], [ "Uchida", "Seiichi", "" ] ]
Tracking is one of the most important but still difficult tasks in computer vision and pattern recognition. The main difficulties in the tracking field are appearance variation and occlusion. Most traditional tracking methods set the parameters or templates to track target objects in advance and should be modified acco...
1708.00634
Junnan Li Mr
Junnan Li, Yongkang Wong, Qi Zhao, Mohan S. Kankanhalli
Dual-Glance Model for Deciphering Social Relationships
IEEE International Conference on Computer Vision (ICCV), 2017
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Since the beginning of early civilizations, social relationships derived from each individual fundamentally form the basis of social structure in our daily life. In the computer vision literature, much progress has been made in scene understanding, such as object detection and scene parsing. Recent research focuses o...
[ { "created": "Wed, 2 Aug 2017 08:13:28 GMT", "version": "v1" } ]
2017-08-03
[ [ "Li", "Junnan", "" ], [ "Wong", "Yongkang", "" ], [ "Zhao", "Qi", "" ], [ "Kankanhalli", "Mohan S.", "" ] ]
Since the beginning of early civilizations, social relationships derived from each individual fundamentally form the basis of social structure in our daily life. In the computer vision literature, much progress has been made in scene understanding, such as object detection and scene parsing. Recent research focuses on ...
2306.06385
Arian Prabowo
Arian Prabowo, Kaixuan Chen, Hao Xue, Subbu Sethuvenkatraman, Flora D. Salim
Continually learning out-of-distribution spatiotemporal data for robust energy forecasting
15 pages, 3 figures, ECML PKDD ADS 2023. 2023 09 09 edit: repeated column in tab 3. in previous version
null
10.1007/978-3-031-43430-3_1
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Forecasting building energy usage is essential for promoting sustainability and reducing waste, as it enables building managers to optimize energy consumption and reduce costs. This importance is magnified during anomalous periods, such as the COVID-19 pandemic, which have disrupted occupancy patterns and made accura...
[ { "created": "Sat, 10 Jun 2023 09:12:10 GMT", "version": "v1" }, { "created": "Sat, 9 Sep 2023 13:37:12 GMT", "version": "v2" } ]
2023-10-05
[ [ "Prabowo", "Arian", "" ], [ "Chen", "Kaixuan", "" ], [ "Xue", "Hao", "" ], [ "Sethuvenkatraman", "Subbu", "" ], [ "Salim", "Flora D.", "" ] ]
Forecasting building energy usage is essential for promoting sustainability and reducing waste, as it enables building managers to optimize energy consumption and reduce costs. This importance is magnified during anomalous periods, such as the COVID-19 pandemic, which have disrupted occupancy patterns and made accurate...
2004.14491
Shruti Agarwal
Shruti Agarwal (1), Tarek El-Gaaly (2), Hany Farid (1), Ser-Nam Lim (2) ((1) Univeristy of California, Berkeley, Berkeley, CA, USA, (2) Facebook Research, New York, NY, USA)
Detecting Deep-Fake Videos from Appearance and Behavior
null
IEEE Workshop on Image Forensics and Security, 2020
null
null
cs.CV cs.LG cs.MM eess.IV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Synthetically-generated audios and videos -- so-called deep fakes -- continue to capture the imagination of the computer-graphics and computer-vision communities. At the same time, the democratization of access to technology that can create sophisticated manipulated video of anybody saying anything continues to be of...
[ { "created": "Wed, 29 Apr 2020 21:38:22 GMT", "version": "v1" } ]
2021-01-29
[ [ "Agarwal", "Shruti", "" ], [ "El-Gaaly", "Tarek", "" ], [ "Farid", "Hany", "" ], [ "Lim", "Ser-Nam", "" ] ]
Synthetically-generated audios and videos -- so-called deep fakes -- continue to capture the imagination of the computer-graphics and computer-vision communities. At the same time, the democratization of access to technology that can create sophisticated manipulated video of anybody saying anything continues to be of c...
2208.08417
Giridhar Kaushik Ramachandran
Giridhar Kaushik Ramachandran, Kevin Lybarger, Yaya Liu, Diwakar Mahajan, Jennifer J. Liang, Ching-Huei Tsou, Meliha Yetisgen, \"Ozlem Uzuner
Extracting Medication Changes in Clinical Narratives using Pre-trained Language Models
null
Journal of Biomedical Informatics.139.2023.104302.1532-0464
10.1016/j.jbi.2023.104302
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
An accurate and detailed account of patient medications, including medication changes within the patient timeline, is essential for healthcare providers to provide appropriate patient care. Healthcare providers or the patients themselves may initiate changes to patient medication. Medication changes take many forms, ...
[ { "created": "Wed, 17 Aug 2022 17:22:48 GMT", "version": "v1" }, { "created": "Thu, 12 Jan 2023 21:23:54 GMT", "version": "v2" } ]
2023-06-13
[ [ "Ramachandran", "Giridhar Kaushik", "" ], [ "Lybarger", "Kevin", "" ], [ "Liu", "Yaya", "" ], [ "Mahajan", "Diwakar", "" ], [ "Liang", "Jennifer J.", "" ], [ "Tsou", "Ching-Huei", "" ], [ "Yetisgen", "Meliha", ...
An accurate and detailed account of patient medications, including medication changes within the patient timeline, is essential for healthcare providers to provide appropriate patient care. Healthcare providers or the patients themselves may initiate changes to patient medication. Medication changes take many forms, in...
1804.04212
Hugo Caselles-Dupr\'e
Hugo Caselles-Dupr\'e, Florian Lesaint, Jimena Royo-Letelier
Word2Vec applied to Recommendation: Hyperparameters Matter
This paper is published on the 12th ACM Conference on Recommender Systems, Vancouver, Canada, 2nd-7th October 2018
null
null
null
cs.IR cs.CL cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Skip-gram with negative sampling, a popular variant of Word2vec originally designed and tuned to create word embeddings for Natural Language Processing, has been used to create item embeddings with successful applications in recommendation. While these fields do not share the same type of data, neither evaluate on th...
[ { "created": "Wed, 11 Apr 2018 20:37:35 GMT", "version": "v1" }, { "created": "Tue, 8 May 2018 19:30:18 GMT", "version": "v2" }, { "created": "Wed, 29 Aug 2018 15:16:08 GMT", "version": "v3" } ]
2018-08-30
[ [ "Caselles-Dupré", "Hugo", "" ], [ "Lesaint", "Florian", "" ], [ "Royo-Letelier", "Jimena", "" ] ]
Skip-gram with negative sampling, a popular variant of Word2vec originally designed and tuned to create word embeddings for Natural Language Processing, has been used to create item embeddings with successful applications in recommendation. While these fields do not share the same type of data, neither evaluate on the ...
1810.02003
Govind Ramnarayan
Ran Canetti, Aloni Cohen, Nishanth Dikkala, Govind Ramnarayan, Sarah Scheffler, Adam Smith
From Soft Classifiers to Hard Decisions: How fair can we be?
null
null
null
null
cs.LG cs.CY stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A popular methodology for building binary decision-making classifiers in the presence of imperfect information is to first construct a non-binary "scoring" classifier that is calibrated over all protected groups, and then to post-process this score to obtain a binary decision. We study the feasibility of achieving va...
[ { "created": "Wed, 3 Oct 2018 23:16:09 GMT", "version": "v1" }, { "created": "Mon, 21 Jan 2019 16:36:11 GMT", "version": "v2" } ]
2019-01-23
[ [ "Canetti", "Ran", "" ], [ "Cohen", "Aloni", "" ], [ "Dikkala", "Nishanth", "" ], [ "Ramnarayan", "Govind", "" ], [ "Scheffler", "Sarah", "" ], [ "Smith", "Adam", "" ] ]
A popular methodology for building binary decision-making classifiers in the presence of imperfect information is to first construct a non-binary "scoring" classifier that is calibrated over all protected groups, and then to post-process this score to obtain a binary decision. We study the feasibility of achieving vari...
2102.00696
Selim Furkan Tekin
Selim Furkan Tekin, Arda Fazla and Suleyman Serdar Kozat
Numerical Weather Forecasting using Convolutional-LSTM with Attention and Context Matcher Mechanisms
- In our journal submission, we removed the integration of the observational data section since it was not used in the experiments. Thus, we also removed the authors from the paper who were responsible for that section. - In the second version, we also performed an experiment on WeatherBench. We compare our res...
null
null
null
cs.LG cs.AI cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Numerical weather forecasting using high-resolution physical models often requires extensive computational resources on supercomputers, which diminishes their wide usage in most real-life applications. As a remedy, applying deep learning methods has revealed innovative solutions within this field. To this end, we int...
[ { "created": "Mon, 1 Feb 2021 08:30:42 GMT", "version": "v1" }, { "created": "Wed, 4 Oct 2023 18:56:52 GMT", "version": "v2" } ]
2023-10-06
[ [ "Tekin", "Selim Furkan", "" ], [ "Fazla", "Arda", "" ], [ "Kozat", "Suleyman Serdar", "" ] ]
Numerical weather forecasting using high-resolution physical models often requires extensive computational resources on supercomputers, which diminishes their wide usage in most real-life applications. As a remedy, applying deep learning methods has revealed innovative solutions within this field. To this end, we intro...
1304.6274
Rohan Padhye
Rohan Padhye and Uday P. Khedker
Interprocedural Data Flow Analysis in Soot using Value Contexts
SOAP 2013 Final Version
null
null
null
cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
An interprocedural analysis is precise if it is flow sensitive and fully context-sensitive even in the presence of recursion. Many methods of interprocedural analysis sacrifice precision for scalability while some are precise but limited to only a certain class of problems. Soot currently supports interprocedural a...
[ { "created": "Tue, 23 Apr 2013 13:02:09 GMT", "version": "v1" }, { "created": "Mon, 29 Jul 2013 06:48:43 GMT", "version": "v2" } ]
2013-07-30
[ [ "Padhye", "Rohan", "" ], [ "Khedker", "Uday P.", "" ] ]
An interprocedural analysis is precise if it is flow sensitive and fully context-sensitive even in the presence of recursion. Many methods of interprocedural analysis sacrifice precision for scalability while some are precise but limited to only a certain class of problems. Soot currently supports interprocedural analy...
1509.06016
Lei Deng
Lei Deng, Siyuan Huang, Yueqi Duan, Baohua Chen, Jie Zhou
Image Set Querying Based Localization
VCIP2015, 4 pages
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Conventional single image based localization methods usually fail to localize a querying image when there exist large variations between the querying image and the pre-built scene. To address this, we propose an image-set querying based localization approach. When the localization by a single image fails to work, the...
[ { "created": "Sun, 20 Sep 2015 13:49:30 GMT", "version": "v1" } ]
2015-09-22
[ [ "Deng", "Lei", "" ], [ "Huang", "Siyuan", "" ], [ "Duan", "Yueqi", "" ], [ "Chen", "Baohua", "" ], [ "Zhou", "Jie", "" ] ]
Conventional single image based localization methods usually fail to localize a querying image when there exist large variations between the querying image and the pre-built scene. To address this, we propose an image-set querying based localization approach. When the localization by a single image fails to work, the s...
1905.05053
Guoxian Yu
Shixing Yao, Guoxian Yu, Jun Wang, Carlotta Domeniconi and Xiangliang Zhang
Multi-View Multiple Clustering
7 pages, 5 figures, uses ijcai19.sty
null
null
null
cs.LG cs.AI stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Multiple clustering aims at exploring alternative clusterings to organize the data into meaningful groups from different perspectives. Existing multiple clustering algorithms are designed for single-view data. We assume that the individuality and commonality of multi-view data can be leveraged to generate high-qualit...
[ { "created": "Mon, 13 May 2019 14:20:44 GMT", "version": "v1" } ]
2019-05-16
[ [ "Yao", "Shixing", "" ], [ "Yu", "Guoxian", "" ], [ "Wang", "Jun", "" ], [ "Domeniconi", "Carlotta", "" ], [ "Zhang", "Xiangliang", "" ] ]
Multiple clustering aims at exploring alternative clusterings to organize the data into meaningful groups from different perspectives. Existing multiple clustering algorithms are designed for single-view data. We assume that the individuality and commonality of multi-view data can be leveraged to generate high-quality ...
2002.11474
Siyue Wang
Peiyan Dong, Siyue Wang, Wei Niu, Chengming Zhang, Sheng Lin, Zhengang Li, Yifan Gong, Bin Ren, Xue Lin, Yanzhi Wang, and Dingwen Tao
RTMobile: Beyond Real-Time Mobile Acceleration of RNNs for Speech Recognition
null
null
null
null
cs.SD cs.LG eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recurrent neural networks (RNNs) based automatic speech recognition has nowadays become prevalent on mobile devices such as smart phones. However, previous RNN compression techniques either suffer from hardware performance overhead due to irregularity or significant accuracy loss due to the preserved regularity for h...
[ { "created": "Wed, 19 Feb 2020 00:07:32 GMT", "version": "v1" } ]
2020-02-28
[ [ "Dong", "Peiyan", "" ], [ "Wang", "Siyue", "" ], [ "Niu", "Wei", "" ], [ "Zhang", "Chengming", "" ], [ "Lin", "Sheng", "" ], [ "Li", "Zhengang", "" ], [ "Gong", "Yifan", "" ], [ "Ren", "Bin", ...
Recurrent neural networks (RNNs) based automatic speech recognition has nowadays become prevalent on mobile devices such as smart phones. However, previous RNN compression techniques either suffer from hardware performance overhead due to irregularity or significant accuracy loss due to the preserved regularity for har...
1802.01481
Jeffrey Lienert
Jeffrey Lienert, Laura Koehly, Felix Reed-Tsochas, Christopher Steven Marcum
An efficient counting method for the colored triad census
null
Social Networks 59 (2019) 136-142
10.1016/j.socnet.2019.04.003
null
cs.DS cs.SI
http://creativecommons.org/publicdomain/zero/1.0/
The triad census is an important approach to understand local structure in network science, providing comprehensive assessments of the observed relational configurations between triples of actors in a network. However, researchers are often interested in combinations of relational and categorical nodal attributes. In...
[ { "created": "Mon, 5 Feb 2018 15:56:30 GMT", "version": "v1" }, { "created": "Fri, 18 May 2018 15:21:29 GMT", "version": "v2" } ]
2019-05-02
[ [ "Lienert", "Jeffrey", "" ], [ "Koehly", "Laura", "" ], [ "Reed-Tsochas", "Felix", "" ], [ "Marcum", "Christopher Steven", "" ] ]
The triad census is an important approach to understand local structure in network science, providing comprehensive assessments of the observed relational configurations between triples of actors in a network. However, researchers are often interested in combinations of relational and categorical nodal attributes. In t...
2302.06279
Gorka Abad
Gorka Abad, Oguzhan Ersoy, Stjepan Picek, Aitor Urbieta
Sneaky Spikes: Uncovering Stealthy Backdoor Attacks in Spiking Neural Networks with Neuromorphic Data
To appear in Network and Distributed System Security (NDSS) Symposium 2024
NDSS Symposium 2024
10.14722/ndss.2024.24334
null
cs.CR cs.CV cs.LG
http://creativecommons.org/licenses/by/4.0/
Deep neural networks (DNNs) have demonstrated remarkable performance across various tasks, including image and speech recognition. However, maximizing the effectiveness of DNNs requires meticulous optimization of numerous hyperparameters and network parameters through training. Moreover, high-performance DNNs entail ...
[ { "created": "Mon, 13 Feb 2023 11:34:17 GMT", "version": "v1" }, { "created": "Mon, 3 Jul 2023 07:03:22 GMT", "version": "v2" }, { "created": "Mon, 5 Feb 2024 11:09:00 GMT", "version": "v3" } ]
2024-06-14
[ [ "Abad", "Gorka", "" ], [ "Ersoy", "Oguzhan", "" ], [ "Picek", "Stjepan", "" ], [ "Urbieta", "Aitor", "" ] ]
Deep neural networks (DNNs) have demonstrated remarkable performance across various tasks, including image and speech recognition. However, maximizing the effectiveness of DNNs requires meticulous optimization of numerous hyperparameters and network parameters through training. Moreover, high-performance DNNs entail ma...
2205.01685
Sajal Saha
Sajal Saha, Anwar Haque, and Greg Sidebottom
Deep Sequence Modeling for Anomalous ISP Traffic Prediction
6 pages, 6 images, To appear in the Proceedings of IEEE International Conference on Communications, Seoul, South Korea, 2022. arXiv admin note: substantial text overlap with arXiv:2205.01300
null
null
null
cs.LG cs.NI eess.SP
http://creativecommons.org/licenses/by-sa/4.0/
Internet traffic in the real world is susceptible to various external and internal factors which may abruptly change the normal traffic flow. Those unexpected changes are considered outliers in traffic. However, deep sequence models have been used to predict complex IP traffic, but their comparative performance for a...
[ { "created": "Tue, 3 May 2022 17:01:45 GMT", "version": "v1" } ]
2022-05-05
[ [ "Saha", "Sajal", "" ], [ "Haque", "Anwar", "" ], [ "Sidebottom", "Greg", "" ] ]
Internet traffic in the real world is susceptible to various external and internal factors which may abruptly change the normal traffic flow. Those unexpected changes are considered outliers in traffic. However, deep sequence models have been used to predict complex IP traffic, but their comparative performance for ano...
2405.06749
Dimitrios Kollias
Vasileios Karampinis, Anastasios Arsenos, Orfeas Filippopoulos, Evangelos Petrongonas, Christos Skliros, Dimitrios Kollias, Stefanos Kollias and Athanasios Voulodimos
Ensuring UAV Safety: A Vision-only and Real-time Framework for Collision Avoidance Through Object Detection, Tracking, and Distance Estimation
accepted at ICUAS 2024
null
null
null
cs.CV cs.LG
http://creativecommons.org/licenses/by-nc-nd/4.0/
In the last twenty years, unmanned aerial vehicles (UAVs) have garnered growing interest due to their expanding applications in both military and civilian domains. Detecting non-cooperative aerial vehicles with efficiency and estimating collisions accurately are pivotal for achieving fully autonomous aircraft and fac...
[ { "created": "Fri, 10 May 2024 18:06:41 GMT", "version": "v1" }, { "created": "Thu, 16 May 2024 14:24:37 GMT", "version": "v2" } ]
2024-05-17
[ [ "Karampinis", "Vasileios", "" ], [ "Arsenos", "Anastasios", "" ], [ "Filippopoulos", "Orfeas", "" ], [ "Petrongonas", "Evangelos", "" ], [ "Skliros", "Christos", "" ], [ "Kollias", "Dimitrios", "" ], [ "Kollias", ...
In the last twenty years, unmanned aerial vehicles (UAVs) have garnered growing interest due to their expanding applications in both military and civilian domains. Detecting non-cooperative aerial vehicles with efficiency and estimating collisions accurately are pivotal for achieving fully autonomous aircraft and facil...
1608.03819
Chenyou Fan
Chenyou Fan, David J. Crandall
DeepDiary: Automatic Caption Generation for Lifelogging Image Streams
This is an expanded preprint of a paper appearing at the ECCV International Workshop on Egocentric Perception, Interaction, and Computing
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Lifelogging cameras capture everyday life from a first-person perspective, but generate so much data that it is hard for users to browse and organize their image collections effectively. In this paper, we propose to use automatic image captioning algorithms to generate textual representations of these collections. We...
[ { "created": "Fri, 12 Aug 2016 15:17:33 GMT", "version": "v1" } ]
2016-08-15
[ [ "Fan", "Chenyou", "" ], [ "Crandall", "David J.", "" ] ]
Lifelogging cameras capture everyday life from a first-person perspective, but generate so much data that it is hard for users to browse and organize their image collections effectively. In this paper, we propose to use automatic image captioning algorithms to generate textual representations of these collections. We d...
2406.05374
Tao He
Tao He, Lizi Liao, Yixin Cao, Yuanxing Liu, Ming Liu, Zerui Chen, Bing Qin
Planning Like Human: A Dual-process Framework for Dialogue Planning
24 pages, 5 figures, ACL 2024 main conference
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In proactive dialogue, the challenge lies not just in generating responses but in steering conversations toward predetermined goals, a task where Large Language Models (LLMs) typically struggle due to their reactive nature. Traditional approaches to enhance dialogue planning in LLMs, ranging from elaborate prompt eng...
[ { "created": "Sat, 8 Jun 2024 06:52:47 GMT", "version": "v1" } ]
2024-06-11
[ [ "He", "Tao", "" ], [ "Liao", "Lizi", "" ], [ "Cao", "Yixin", "" ], [ "Liu", "Yuanxing", "" ], [ "Liu", "Ming", "" ], [ "Chen", "Zerui", "" ], [ "Qin", "Bing", "" ] ]
In proactive dialogue, the challenge lies not just in generating responses but in steering conversations toward predetermined goals, a task where Large Language Models (LLMs) typically struggle due to their reactive nature. Traditional approaches to enhance dialogue planning in LLMs, ranging from elaborate prompt engin...
2312.03051
Isaac Liao
Isaac Liao, Ziming Liu, Max Tegmark
Generating Interpretable Networks using Hypernetworks
15 pages, 7 figures
null
null
null
cs.LG cs.AI cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
An essential goal in mechanistic interpretability to decode a network, i.e., to convert a neural network's raw weights to an interpretable algorithm. Given the difficulty of the decoding problem, progress has been made to understand the easier encoding problem, i.e., to convert an interpretable algorithm into network...
[ { "created": "Tue, 5 Dec 2023 18:55:32 GMT", "version": "v1" } ]
2023-12-07
[ [ "Liao", "Isaac", "" ], [ "Liu", "Ziming", "" ], [ "Tegmark", "Max", "" ] ]
An essential goal in mechanistic interpretability to decode a network, i.e., to convert a neural network's raw weights to an interpretable algorithm. Given the difficulty of the decoding problem, progress has been made to understand the easier encoding problem, i.e., to convert an interpretable algorithm into network w...
1606.03662
Haishan Wu
Mengwen Xu, Tianyi Wang, Zhengwei Wu, Jingbo Zhou, Jian Li, Haishan Wu
Store Location Selection via Mining Search Query Logs of Baidu Maps
null
null
null
null
cs.AI cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Choosing a good location when opening a new store is crucial for the future success of a business. Traditional methods include offline manual survey, which is very time consuming, and analytic models based on census data, which are un- able to adapt to the dynamic market. The rapid increase of the availability of big...
[ { "created": "Sun, 12 Jun 2016 03:42:10 GMT", "version": "v1" } ]
2016-06-14
[ [ "Xu", "Mengwen", "" ], [ "Wang", "Tianyi", "" ], [ "Wu", "Zhengwei", "" ], [ "Zhou", "Jingbo", "" ], [ "Li", "Jian", "" ], [ "Wu", "Haishan", "" ] ]
Choosing a good location when opening a new store is crucial for the future success of a business. Traditional methods include offline manual survey, which is very time consuming, and analytic models based on census data, which are un- able to adapt to the dynamic market. The rapid increase of the availability of big d...
1904.00378
Giuseppe Silano
Giuseppe Silano, Luigi Iannelli
MAT-Fly: An Educational Platform for Simulating Unmanned Aerial Vehicles Aimed to Detect and Track Moving Objects
11 pages, 15 figures, journal paper
IEEE Access, 2021
10.1109/ACCESS.2021.3064758
null
cs.RO cs.SY
http://creativecommons.org/licenses/by/4.0/
The main motivation of this work is to propose a simulation approach for a specific task within the Unmanned Aerial Vehicle (UAV) field, i.e., the visual detection and tracking of arbitrary moving objects. In particular, it is described MAT-Fly, a numerical simulation platform for multi-rotor aircraft characterized b...
[ { "created": "Sun, 31 Mar 2019 10:56:47 GMT", "version": "v1" }, { "created": "Wed, 21 Aug 2019 15:25:19 GMT", "version": "v2" }, { "created": "Fri, 17 Jan 2020 15:56:56 GMT", "version": "v3" }, { "created": "Wed, 10 Mar 2021 13:47:33 GMT", "version": "v4" } ]
2021-03-11
[ [ "Silano", "Giuseppe", "" ], [ "Iannelli", "Luigi", "" ] ]
The main motivation of this work is to propose a simulation approach for a specific task within the Unmanned Aerial Vehicle (UAV) field, i.e., the visual detection and tracking of arbitrary moving objects. In particular, it is described MAT-Fly, a numerical simulation platform for multi-rotor aircraft characterized by ...
2401.14743
Takanori Ugai
Takanori Ugai, Shusaku Egami, Swe Nwe Nwe Htun, Kouji Kozaki, Takahiro Kawamura, Ken Fukuda
Synthetic Multimodal Dataset for Empowering Safety and Well-being in Home Environments
7 pages, 2 figures,4 tables
null
null
null
cs.AI
http://creativecommons.org/licenses/by/4.0/
This paper presents a synthetic multimodal dataset of daily activities that fuses video data from a 3D virtual space simulator with knowledge graphs depicting the spatiotemporal context of the activities. The dataset is developed for the Knowledge Graph Reasoning Challenge for Social Issues (KGRC4SI), which focuses o...
[ { "created": "Fri, 26 Jan 2024 10:05:41 GMT", "version": "v1" } ]
2024-01-29
[ [ "Ugai", "Takanori", "" ], [ "Egami", "Shusaku", "" ], [ "Htun", "Swe Nwe Nwe", "" ], [ "Kozaki", "Kouji", "" ], [ "Kawamura", "Takahiro", "" ], [ "Fukuda", "Ken", "" ] ]
This paper presents a synthetic multimodal dataset of daily activities that fuses video data from a 3D virtual space simulator with knowledge graphs depicting the spatiotemporal context of the activities. The dataset is developed for the Knowledge Graph Reasoning Challenge for Social Issues (KGRC4SI), which focuses on ...
2301.04733
Weihua Zhou
Chen Zhao, Zhihui Xu, Jingfeng Jiang, Michele Esposito, Drew Pienta, Guang-Uei Hung, Weihua Zhou
AGMN: Association Graph-based Graph Matching Network for Coronary Artery Semantic Labeling on Invasive Coronary Angiograms
26 pages, 7 figures
null
10.1016/j.patcog.2023.109789
null
cs.CV cs.AI
http://creativecommons.org/licenses/by/4.0/
Semantic labeling of coronary arterial segments in invasive coronary angiography (ICA) is important for automated assessment and report generation of coronary artery stenosis in the computer-aided diagnosis of coronary artery disease (CAD). Inspired by the training procedure of interventional cardiologists for interp...
[ { "created": "Wed, 11 Jan 2023 21:54:28 GMT", "version": "v1" } ]
2023-12-22
[ [ "Zhao", "Chen", "" ], [ "Xu", "Zhihui", "" ], [ "Jiang", "Jingfeng", "" ], [ "Esposito", "Michele", "" ], [ "Pienta", "Drew", "" ], [ "Hung", "Guang-Uei", "" ], [ "Zhou", "Weihua", "" ] ]
Semantic labeling of coronary arterial segments in invasive coronary angiography (ICA) is important for automated assessment and report generation of coronary artery stenosis in the computer-aided diagnosis of coronary artery disease (CAD). Inspired by the training procedure of interventional cardiologists for interpre...
2104.03904
Bilal Abu-Salih
Bilal Abu-Salih, Pornpit Wongthongtham, Dengya Zhu, Kit Yan Chan, Amit Rudra
Social Big Data: An Overview and Applications
null
null
10.1007/978-981-33-6652-7_1
null
cs.SI
http://creativecommons.org/licenses/by-nc-nd/4.0/
The emergence of online social media services has made a qualitative leap and brought profound changes to various aspects of human, cultural, intellectual, and social life. These significant Big data tributaries have further transformed the businesses processes by establishing convergent and transparent dialogues bet...
[ { "created": "Thu, 1 Apr 2021 14:39:23 GMT", "version": "v1" } ]
2021-04-09
[ [ "Abu-Salih", "Bilal", "" ], [ "Wongthongtham", "Pornpit", "" ], [ "Zhu", "Dengya", "" ], [ "Chan", "Kit Yan", "" ], [ "Rudra", "Amit", "" ] ]
The emergence of online social media services has made a qualitative leap and brought profound changes to various aspects of human, cultural, intellectual, and social life. These significant Big data tributaries have further transformed the businesses processes by establishing convergent and transparent dialogues betwe...
2308.15768
Michelle S Lam
Michelle S. Lam, Ayush Pandit, Colin H. Kalicki, Rachit Gupta, Poonam Sahoo, Dana\"e Metaxa
Sociotechnical Audits: Broadening the Algorithm Auditing Lens to Investigate Targeted Advertising
To appear at CSCW 2023
null
10.1145/3610209
null
cs.HC cs.CY
http://creativecommons.org/licenses/by-nc-sa/4.0/
Algorithm audits are powerful tools for studying black-box systems. While very effective in examining technical components, the method stops short of a sociotechnical frame, which would also consider users as an integral and dynamic part of the system. Addressing this gap, we propose the concept of sociotechnical aud...
[ { "created": "Wed, 30 Aug 2023 05:26:47 GMT", "version": "v1" } ]
2023-08-31
[ [ "Lam", "Michelle S.", "" ], [ "Pandit", "Ayush", "" ], [ "Kalicki", "Colin H.", "" ], [ "Gupta", "Rachit", "" ], [ "Sahoo", "Poonam", "" ], [ "Metaxa", "Danaë", "" ] ]
Algorithm audits are powerful tools for studying black-box systems. While very effective in examining technical components, the method stops short of a sociotechnical frame, which would also consider users as an integral and dynamic part of the system. Addressing this gap, we propose the concept of sociotechnical audit...
2204.13997
W B Langdon
William B. Langdon
Failed Disruption Propagation in Integer Genetic Programming
Long version of GECCO 2022 poster
null
10.1145/3520304.3528878
null
cs.NE cs.AI
http://creativecommons.org/licenses/by-nc-nd/4.0/
We inject a random value into the evaluation of highly evolved deep integer GP trees 9743720 times and find 99.7percent Suggesting crossover and mutation's impact are dissipated and seldom propagate outside the program. Indeed only errors near the root node have impact and disruption falls exponentially with depth at...
[ { "created": "Mon, 4 Apr 2022 07:20:52 GMT", "version": "v1" } ]
2022-05-02
[ [ "Langdon", "William B.", "" ] ]
We inject a random value into the evaluation of highly evolved deep integer GP trees 9743720 times and find 99.7percent Suggesting crossover and mutation's impact are dissipated and seldom propagate outside the program. Indeed only errors near the root node have impact and disruption falls exponentially with depth at b...
1612.03316
Omar Alonso
Omar Alonso
Label Visualization and Exploration in IR
null
null
null
null
cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
There is a renaissance in visual analytics systems for data analysis and sharing, in particular, in the current wave of big data applications. We introduce RAVE, a prototype that automates the generation of an interface that uses facets and visualization techniques for exploring and analyzing relevance assessments da...
[ { "created": "Sat, 10 Dec 2016 16:33:06 GMT", "version": "v1" } ]
2016-12-13
[ [ "Alonso", "Omar", "" ] ]
There is a renaissance in visual analytics systems for data analysis and sharing, in particular, in the current wave of big data applications. We introduce RAVE, a prototype that automates the generation of an interface that uses facets and visualization techniques for exploring and analyzing relevance assessments data...
2407.07046
Yangmin Li
Yangmin Li, Ruiqi Zhu, Wengen Li
CorMulT: A Semi-supervised Modality Correlation-aware Multimodal Transformer for Sentiment Analysis
null
null
null
null
cs.AI cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Multimodal sentiment analysis is an active research area that combines multiple data modalities, e.g., text, image and audio, to analyze human emotions and benefits a variety of applications. Existing multimodal sentiment analysis methods can be classified as modality interaction-based methods, modality transformatio...
[ { "created": "Tue, 9 Jul 2024 17:07:29 GMT", "version": "v1" } ]
2024-07-10
[ [ "Li", "Yangmin", "" ], [ "Zhu", "Ruiqi", "" ], [ "Li", "Wengen", "" ] ]
Multimodal sentiment analysis is an active research area that combines multiple data modalities, e.g., text, image and audio, to analyze human emotions and benefits a variety of applications. Existing multimodal sentiment analysis methods can be classified as modality interaction-based methods, modality transformation-...
2407.14417
HamidReza Imani
HamidReza Imani, Abdolah Amirany, and Tarek El-Ghazawi
Mixture of Experts with Mixture of Precisions for Tuning Quality of Service
null
null
null
null
cs.DC cs.AI cs.LG cs.PF
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The increasing demand for deploying large Mixture-of-Experts (MoE) models in resource-constrained environments necessitates efficient approaches to address their high memory and computational requirements challenges. Moreover, given that tasks come in different user-defined constraints and the available resources cha...
[ { "created": "Fri, 19 Jul 2024 15:42:49 GMT", "version": "v1" } ]
2024-07-22
[ [ "Imani", "HamidReza", "" ], [ "Amirany", "Abdolah", "" ], [ "El-Ghazawi", "Tarek", "" ] ]
The increasing demand for deploying large Mixture-of-Experts (MoE) models in resource-constrained environments necessitates efficient approaches to address their high memory and computational requirements challenges. Moreover, given that tasks come in different user-defined constraints and the available resources chang...
1811.04199
Amir Ashouri
Amir H. Ashouri, Tarek S. Abdelrahman, Alwyn Dos Remedios
Fast On-the-fly Retraining-free Sparsification of Convolutional Neural Networks
Extended Version of Our Accepted Paper in NIPS 2018, CDNNRIA Workshop: (https://nips.cc/Conferences/2018/Schedule?showEvent=10941)- Reviews are available at OpenReview (https://openreview.net/forum?id=rkz1YD0vjm)
Elsevier Neurocomputing, 2019
10.1016/j.neucom.2019.08.063
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Modern Convolutional Neural Networks (CNNs) are complex, encompassing millions of parameters. Their deployment exerts computational, storage and energy demands, particularly on embedded platforms. Existing approaches to prune or sparsify CNNs require retraining to maintain inference accuracy. Such retraining is not f...
[ { "created": "Sat, 10 Nov 2018 05:43:36 GMT", "version": "v1" }, { "created": "Tue, 13 Nov 2018 23:54:25 GMT", "version": "v2" }, { "created": "Sun, 8 Sep 2019 17:03:08 GMT", "version": "v3" } ]
2019-09-10
[ [ "Ashouri", "Amir H.", "" ], [ "Abdelrahman", "Tarek S.", "" ], [ "Remedios", "Alwyn Dos", "" ] ]
Modern Convolutional Neural Networks (CNNs) are complex, encompassing millions of parameters. Their deployment exerts computational, storage and energy demands, particularly on embedded platforms. Existing approaches to prune or sparsify CNNs require retraining to maintain inference accuracy. Such retraining is not fea...
2404.14637
Larissa Salerno
Larissa Salerno, Christoph Treude, Patanamon Thongtatunam
Open Source Software Development Tool Installation: Challenges and Strategies For Novice Developers
null
null
null
null
cs.SE
http://creativecommons.org/licenses/by-sa/4.0/
As the world of technology advances, so do the tools that software developers use to create new programs. In recent years, software development tools have become more popular, allowing developers to work more efficiently and produce higher-quality software. Still, installing such tools can be challenging for novice d...
[ { "created": "Tue, 23 Apr 2024 00:25:57 GMT", "version": "v1" } ]
2024-04-24
[ [ "Salerno", "Larissa", "" ], [ "Treude", "Christoph", "" ], [ "Thongtatunam", "Patanamon", "" ] ]
As the world of technology advances, so do the tools that software developers use to create new programs. In recent years, software development tools have become more popular, allowing developers to work more efficiently and produce higher-quality software. Still, installing such tools can be challenging for novice dev...
2304.07926
Bruno Tafur
Bruno Tafur and Advait Sarkar
User Perceptions of Automatic Fake News Detection: Can Algorithms Fight Online Misinformation?
null
null
null
null
cs.HC cs.CY
http://creativecommons.org/licenses/by/4.0/
Fake news detection algorithms apply machine learning to various news attributes and their relationships. However, their success is usually evaluated based on how the algorithm performs on a static benchmark, independent of real users. On the other hand, studies of user trust in fake news has identified relevant fact...
[ { "created": "Mon, 17 Apr 2023 00:37:53 GMT", "version": "v1" } ]
2023-04-18
[ [ "Tafur", "Bruno", "" ], [ "Sarkar", "Advait", "" ] ]
Fake news detection algorithms apply machine learning to various news attributes and their relationships. However, their success is usually evaluated based on how the algorithm performs on a static benchmark, independent of real users. On the other hand, studies of user trust in fake news has identified relevant factor...
2301.10352
Kenneth Clarkson
Kenneth L. Clarkson, Shashanka Ubaru, Elizabeth Yang
Capacity Analysis of Vector Symbolic Architectures
null
null
null
null
cs.LG cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Hyperdimensional computing (HDC) is a biologically-inspired framework which represents symbols with high-dimensional vectors, and uses vector operations to manipulate them. The ensemble of a particular vector space and a prescribed set of vector operations (including one addition-like for "bundling" and one outer-pro...
[ { "created": "Tue, 24 Jan 2023 23:43:25 GMT", "version": "v1" }, { "created": "Tue, 14 Feb 2023 20:50:04 GMT", "version": "v2" } ]
2023-02-16
[ [ "Clarkson", "Kenneth L.", "" ], [ "Ubaru", "Shashanka", "" ], [ "Yang", "Elizabeth", "" ] ]
Hyperdimensional computing (HDC) is a biologically-inspired framework which represents symbols with high-dimensional vectors, and uses vector operations to manipulate them. The ensemble of a particular vector space and a prescribed set of vector operations (including one addition-like for "bundling" and one outer-produ...
1706.06806
Rakesh Venkat
Yuval Rabani, Rakesh Venkat
Approximating Sparsest Cut in Low Rank Graphs via Embeddings from Approximately Low-Dimensional Spaces
null
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider the problem of embedding a finite set of points $\{x_1, \ldots, x_n\} \in \mathbb{R}^d$ that satisfy $\ell_2^2$ triangle inequalities into $\ell_1$, when the points are approximately low-dimensional. Goemans (unpublished, appears in a work of [Magen and Moharammi, 2008]) showed that such points residing i...
[ { "created": "Wed, 21 Jun 2017 09:38:37 GMT", "version": "v1" } ]
2017-06-22
[ [ "Rabani", "Yuval", "" ], [ "Venkat", "Rakesh", "" ] ]
We consider the problem of embedding a finite set of points $\{x_1, \ldots, x_n\} \in \mathbb{R}^d$ that satisfy $\ell_2^2$ triangle inequalities into $\ell_1$, when the points are approximately low-dimensional. Goemans (unpublished, appears in a work of [Magen and Moharammi, 2008]) showed that such points residing in ...
1501.00512
Massimiliano Dal Mas
Massimiliano Dal Mas
Function of Forgetfulness for the Tedium of Oblivion on Liquidity of Ontology Matching
4 pages, 1 figure; for details see: http://www.maxdalmas.com
null
null
null
cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The shallow and fragile knowledge on the Web does not examine in depth the things: it behaves lightly. The conditions created by the Web makes our attention labile and especially fickle, it's unable to concentrate for long as we are trained to "surf" without going though never in depth. The Web also brings with it th...
[ { "created": "Fri, 2 Jan 2015 23:19:01 GMT", "version": "v1" } ]
2015-01-06
[ [ "Mas", "Massimiliano Dal", "" ] ]
The shallow and fragile knowledge on the Web does not examine in depth the things: it behaves lightly. The conditions created by the Web makes our attention labile and especially fickle, it's unable to concentrate for long as we are trained to "surf" without going though never in depth. The Web also brings with it the ...
2108.08712
Matias Valdenegro-Toro
Matias Valdenegro-Toro
Teaching Uncertainty Quantification in Machine Learning through Use Cases
2nd Teaching in Machine Learning Workshop, Camera Ready, 5 pages, 3 figures
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Uncertainty in machine learning is not generally taught as general knowledge in Machine Learning course curricula. In this paper we propose a short curriculum for a course about uncertainty in machine learning, and complement the course with a selection of use cases, aimed to trigger discussion and let students play ...
[ { "created": "Thu, 19 Aug 2021 14:22:17 GMT", "version": "v1" } ]
2021-08-20
[ [ "Valdenegro-Toro", "Matias", "" ] ]
Uncertainty in machine learning is not generally taught as general knowledge in Machine Learning course curricula. In this paper we propose a short curriculum for a course about uncertainty in machine learning, and complement the course with a selection of use cases, aimed to trigger discussion and let students play wi...
1911.05870
Kushagra Mahajan
Kushagra Mahajan, Monika Sharma, Lovekesh Vig
Character Keypoint-based Homography Estimation in Scanned Documents for Efficient Information Extraction
6 pages, 4 figures
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Precise homography estimation between multiple images is a pre-requisite for many computer vision applications. One application that is particularly relevant in today's digital era is the alignment of scanned or camera-captured document images such as insurance claim forms for information extraction. Traditional lear...
[ { "created": "Thu, 14 Nov 2019 00:44:55 GMT", "version": "v1" } ]
2019-11-15
[ [ "Mahajan", "Kushagra", "" ], [ "Sharma", "Monika", "" ], [ "Vig", "Lovekesh", "" ] ]
Precise homography estimation between multiple images is a pre-requisite for many computer vision applications. One application that is particularly relevant in today's digital era is the alignment of scanned or camera-captured document images such as insurance claim forms for information extraction. Traditional learni...
2006.00165
Ashraf Tantawy
Ashraf Tantawy, Sherif Abdelwahed, and Abdelkarim Erradi
Cyber LOPA: An Integrated Approach for the Design of Dependable and Secure Cyber Physical Systems
Preprint version of the published paper
IEEE Transactions on Reliability, VOL. 71, NO. 2, JUNE 2022
10.1109/TR.2022.3163652
null
cs.CR cs.SY eess.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Safety risk assessment is an essential process to ensure a dependable Cyber-Physical System (CPS) design. Traditional risk assessment considers only physical failures. For modern CPS, failures caused by cyber attacks are on the rise. The focus of latest research effort is on safety-security lifecycle integration and ...
[ { "created": "Sat, 30 May 2020 03:53:18 GMT", "version": "v1" }, { "created": "Sat, 6 Jun 2020 18:53:26 GMT", "version": "v2" }, { "created": "Thu, 15 Jul 2021 12:32:14 GMT", "version": "v3" }, { "created": "Wed, 17 Aug 2022 16:05:51 GMT", "version": "v4" } ]
2022-08-18
[ [ "Tantawy", "Ashraf", "" ], [ "Abdelwahed", "Sherif", "" ], [ "Erradi", "Abdelkarim", "" ] ]
Safety risk assessment is an essential process to ensure a dependable Cyber-Physical System (CPS) design. Traditional risk assessment considers only physical failures. For modern CPS, failures caused by cyber attacks are on the rise. The focus of latest research effort is on safety-security lifecycle integration and th...
2402.12377
Christian Reiser
Christian Reiser, Stephan Garbin, Pratul P. Srinivasan, Dor Verbin, Richard Szeliski, Ben Mildenhall, Jonathan T. Barron, Peter Hedman, Andreas Geiger
Binary Opacity Grids: Capturing Fine Geometric Detail for Mesh-Based View Synthesis
Project page at https://binary-opacity-grid.github.io
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
While surface-based view synthesis algorithms are appealing due to their low computational requirements, they often struggle to reproduce thin structures. In contrast, more expensive methods that model the scene's geometry as a volumetric density field (e.g. NeRF) excel at reconstructing fine geometric detail. Howeve...
[ { "created": "Mon, 19 Feb 2024 18:59:41 GMT", "version": "v1" } ]
2024-02-20
[ [ "Reiser", "Christian", "" ], [ "Garbin", "Stephan", "" ], [ "Srinivasan", "Pratul P.", "" ], [ "Verbin", "Dor", "" ], [ "Szeliski", "Richard", "" ], [ "Mildenhall", "Ben", "" ], [ "Barron", "Jonathan T.", "...
While surface-based view synthesis algorithms are appealing due to their low computational requirements, they often struggle to reproduce thin structures. In contrast, more expensive methods that model the scene's geometry as a volumetric density field (e.g. NeRF) excel at reconstructing fine geometric detail. However,...
1609.07053
Johannes Bjerva
Johannes Bjerva and Barbara Plank and Johan Bos
Semantic Tagging with Deep Residual Networks
COLING 2016, camera ready version
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
We propose a novel semantic tagging task, sem-tagging, tailored for the purpose of multilingual semantic parsing, and present the first tagger using deep residual networks (ResNets). Our tagger uses both word and character representations and includes a novel residual bypass architecture. We evaluate the tagset both ...
[ { "created": "Thu, 22 Sep 2016 16:34:00 GMT", "version": "v1" }, { "created": "Mon, 31 Oct 2016 18:33:13 GMT", "version": "v2" } ]
2016-11-01
[ [ "Bjerva", "Johannes", "" ], [ "Plank", "Barbara", "" ], [ "Bos", "Johan", "" ] ]
We propose a novel semantic tagging task, sem-tagging, tailored for the purpose of multilingual semantic parsing, and present the first tagger using deep residual networks (ResNets). Our tagger uses both word and character representations and includes a novel residual bypass architecture. We evaluate the tagset both in...
2104.03532
Pieter van Goor
Pieter van Goor and Robert Mahony
An Equivariant Filter for Visual Inertial Odometry
11 pages, 3 figures, to be published as {van Goor, P., Mahony, R.. (2021). An Equivariant Filter for Visual Inertial Odometry. 2020 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2020.}
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Visual Inertial Odometry (VIO) is of great interest due the ubiquity of devices equipped with both a monocular camera and Inertial Measurement Unit (IMU). Methods based on the extended Kalman Filter remain popular in VIO due to their low memory requirements, CPU usage, and processing time when compared to optimisatio...
[ { "created": "Thu, 8 Apr 2021 06:28:12 GMT", "version": "v1" } ]
2021-04-09
[ [ "van Goor", "Pieter", "" ], [ "Mahony", "Robert", "" ] ]
Visual Inertial Odometry (VIO) is of great interest due the ubiquity of devices equipped with both a monocular camera and Inertial Measurement Unit (IMU). Methods based on the extended Kalman Filter remain popular in VIO due to their low memory requirements, CPU usage, and processing time when compared to optimisation-...
1705.08759
Stefan Lee
Qing Sun, Stefan Lee, Dhruv Batra
Bidirectional Beam Search: Forward-Backward Inference in Neural Sequence Models for Fill-in-the-Blank Image Captioning
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We develop the first approximate inference algorithm for 1-Best (and M-Best) decoding in bidirectional neural sequence models by extending Beam Search (BS) to reason about both forward and backward time dependencies. Beam Search (BS) is a widely used approximate inference algorithm for decoding sequences from unidire...
[ { "created": "Wed, 24 May 2017 13:42:47 GMT", "version": "v1" } ]
2017-05-25
[ [ "Sun", "Qing", "" ], [ "Lee", "Stefan", "" ], [ "Batra", "Dhruv", "" ] ]
We develop the first approximate inference algorithm for 1-Best (and M-Best) decoding in bidirectional neural sequence models by extending Beam Search (BS) to reason about both forward and backward time dependencies. Beam Search (BS) is a widely used approximate inference algorithm for decoding sequences from unidirect...
2201.11369
Ting-Chun Lin
Ting-Chun Lin, Min-Hsiu Hsieh
$c^3$-Locally Testable Codes from Lossless Expanders
null
null
null
null
cs.IT cs.CC math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A locally testable code (LTC) is an error correcting code with a property tester. The tester tests if a word is codeword by reading constant random bits and rejects the word with probability proportional to the distance from the word to the closest codeword. An important open question until recently is whether there ...
[ { "created": "Thu, 27 Jan 2022 08:10:13 GMT", "version": "v1" }, { "created": "Fri, 28 Jan 2022 07:33:50 GMT", "version": "v2" } ]
2022-01-31
[ [ "Lin", "Ting-Chun", "" ], [ "Hsieh", "Min-Hsiu", "" ] ]
A locally testable code (LTC) is an error correcting code with a property tester. The tester tests if a word is codeword by reading constant random bits and rejects the word with probability proportional to the distance from the word to the closest codeword. An important open question until recently is whether there ex...
1608.02201
Hussein Al-Barazanchi
Hussein A. Al-Barazanchi, Hussam Qassim, Abhishek Verma
Residual CNDS
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Convolutional Neural networks nowadays are of tremendous importance for any image classification system. One of the most investigated methods to increase the accuracy of CNN is by increasing the depth of CNN. Increasing the depth by stacking more layers also increases the difficulty of training besides making it comp...
[ { "created": "Sun, 7 Aug 2016 10:34:02 GMT", "version": "v1" } ]
2016-08-09
[ [ "Al-Barazanchi", "Hussein A.", "" ], [ "Qassim", "Hussam", "" ], [ "Verma", "Abhishek", "" ] ]
Convolutional Neural networks nowadays are of tremendous importance for any image classification system. One of the most investigated methods to increase the accuracy of CNN is by increasing the depth of CNN. Increasing the depth by stacking more layers also increases the difficulty of training besides making it comput...
1401.3493
Uzi Zahavi
Uzi Zahavi, Ariel Felner, Neil Burch, Robert C. Holte
Predicting the Performance of IDA* using Conditional Distributions
null
Journal Of Artificial Intelligence Research, Volume 37, pages 41-83, 2010
10.1613/jair.2890
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Korf, Reid, and Edelkamp introduced a formula to predict the number of nodes IDA* will expand on a single iteration for a given consistent heuristic, and experimentally demonstrated that it could make very accurate predictions. In this paper we show that, in addition to requiring the heuristic to be consistent, their...
[ { "created": "Wed, 15 Jan 2014 05:41:44 GMT", "version": "v1" } ]
2014-01-16
[ [ "Zahavi", "Uzi", "" ], [ "Felner", "Ariel", "" ], [ "Burch", "Neil", "" ], [ "Holte", "Robert C.", "" ] ]
Korf, Reid, and Edelkamp introduced a formula to predict the number of nodes IDA* will expand on a single iteration for a given consistent heuristic, and experimentally demonstrated that it could make very accurate predictions. In this paper we show that, in addition to requiring the heuristic to be consistent, their f...
1103.4513
Jeffrey Shallit
Erik D. Demaine, Sarah Eisenstat, Jeffrey Shallit, David A. Wilson
Remarks on separating words
null
null
null
null
cs.FL cs.DM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The separating words problem asks for the size of the smallest DFA needed to distinguish between two words of length <= n (by accepting one and rejecting the other). In this paper we survey what is known and unknown about the problem, consider some variations, and prove several new results.
[ { "created": "Wed, 23 Mar 2011 13:31:37 GMT", "version": "v1" } ]
2011-03-24
[ [ "Demaine", "Erik D.", "" ], [ "Eisenstat", "Sarah", "" ], [ "Shallit", "Jeffrey", "" ], [ "Wilson", "David A.", "" ] ]
The separating words problem asks for the size of the smallest DFA needed to distinguish between two words of length <= n (by accepting one and rejecting the other). In this paper we survey what is known and unknown about the problem, consider some variations, and prove several new results.
2309.02297
Kiran Karra
Axel Cortes-Cubero, Juan P. Madrigal-Cianci, Kiran Karra, Zixuan Zhang
Smoothening block rewards: How much should miners pay for mining pools?
15 pages, 1 figure
null
null
null
cs.CR
http://creativecommons.org/licenses/by-nc-sa/4.0/
The rewards a blockchain miner earns vary with time. Most of the time is spent mining without receiving any rewards, and only occasionally the miner wins a block and earns a reward. Mining pools smoothen the stochastic flow of rewards, and in the ideal case, provide a steady flow of rewards over time. Smooth block re...
[ { "created": "Tue, 5 Sep 2023 14:59:01 GMT", "version": "v1" } ]
2023-09-06
[ [ "Cortes-Cubero", "Axel", "" ], [ "Madrigal-Cianci", "Juan P.", "" ], [ "Karra", "Kiran", "" ], [ "Zhang", "Zixuan", "" ] ]
The rewards a blockchain miner earns vary with time. Most of the time is spent mining without receiving any rewards, and only occasionally the miner wins a block and earns a reward. Mining pools smoothen the stochastic flow of rewards, and in the ideal case, provide a steady flow of rewards over time. Smooth block rewa...
2306.03189
Margot Madina
Margot Madina, Itziar Gonzalez-Dios, Melanie Siegel
Easy-to-Read in Germany: A Survey on its Current State and Available Resources
10th Language & Technology Conference: Human Language Technologies as a Challenge for Computer Science and Linguistics, 2023
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Easy-to-Read Language (E2R) is a controlled language variant that makes any written text more accessible through the use of clear, direct and simple language. It is mainly aimed at people with cognitive or intellectual disabilities, among other target users. Plain Language (PL), on the other hand, is a variant of a g...
[ { "created": "Mon, 5 Jun 2023 19:00:25 GMT", "version": "v1" } ]
2023-06-07
[ [ "Madina", "Margot", "" ], [ "Gonzalez-Dios", "Itziar", "" ], [ "Siegel", "Melanie", "" ] ]
Easy-to-Read Language (E2R) is a controlled language variant that makes any written text more accessible through the use of clear, direct and simple language. It is mainly aimed at people with cognitive or intellectual disabilities, among other target users. Plain Language (PL), on the other hand, is a variant of a giv...
2110.00937
Xuequan Lu
Sheldon Fung, Xuequan Lu, Mantas Mykolaitis, Gediminas Kostkevicius, Domantas Ozerenskis
Anatomical Landmarks Localization for 3D Foot Point Clouds
submitted for review
null
null
null
cs.CV cs.GR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
3D anatomical landmarks play an important role in health research. Their automated prediction/localization thus becomes a vital task. In this paper, we introduce a deformation method for 3D anatomical landmarks prediction. It utilizes a source model with anatomical landmarks which are annotated by clinicians, and def...
[ { "created": "Sun, 3 Oct 2021 06:24:40 GMT", "version": "v1" } ]
2021-10-05
[ [ "Fung", "Sheldon", "" ], [ "Lu", "Xuequan", "" ], [ "Mykolaitis", "Mantas", "" ], [ "Kostkevicius", "Gediminas", "" ], [ "Ozerenskis", "Domantas", "" ] ]
3D anatomical landmarks play an important role in health research. Their automated prediction/localization thus becomes a vital task. In this paper, we introduce a deformation method for 3D anatomical landmarks prediction. It utilizes a source model with anatomical landmarks which are annotated by clinicians, and defor...
1412.1254
Philip Bille
Philip Bille, Pawel Gawrychowski, Inge Li Goertz, Gad M. Landau, and Oren Weimann
Longest Common Extensions in Trees
null
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The longest common extension (LCE) of two indices in a string is the length of the longest identical substrings starting at these two indices. The LCE problem asks to preprocess a string into a compact data structure that supports fast LCE queries. In this paper we generalize the LCE problem to trees and suggest a fe...
[ { "created": "Wed, 3 Dec 2014 10:02:47 GMT", "version": "v1" }, { "created": "Tue, 31 Mar 2015 18:06:22 GMT", "version": "v2" }, { "created": "Thu, 9 Jul 2015 14:55:22 GMT", "version": "v3" } ]
2015-07-10
[ [ "Bille", "Philip", "" ], [ "Gawrychowski", "Pawel", "" ], [ "Goertz", "Inge Li", "" ], [ "Landau", "Gad M.", "" ], [ "Weimann", "Oren", "" ] ]
The longest common extension (LCE) of two indices in a string is the length of the longest identical substrings starting at these two indices. The LCE problem asks to preprocess a string into a compact data structure that supports fast LCE queries. In this paper we generalize the LCE problem to trees and suggest a few ...
2005.11623
Zhihao Duan
Zhihao Duan, M. Ozan Tezcan, Hayato Nakamura, Prakash Ishwar, Janusz Konrad
RAPiD: Rotation-Aware People Detection in Overhead Fisheye Images
CVPR 2020 OmniCV Workshop paper extended version
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent methods for people detection in overhead, fisheye images either use radially-aligned bounding boxes to represent people, assuming people always appear along image radius or require significant pre-/post-processing which radically increases computational complexity. In this work, we develop an end-to-end rotati...
[ { "created": "Sat, 23 May 2020 23:47:18 GMT", "version": "v1" } ]
2020-05-26
[ [ "Duan", "Zhihao", "" ], [ "Tezcan", "M. Ozan", "" ], [ "Nakamura", "Hayato", "" ], [ "Ishwar", "Prakash", "" ], [ "Konrad", "Janusz", "" ] ]
Recent methods for people detection in overhead, fisheye images either use radially-aligned bounding boxes to represent people, assuming people always appear along image radius or require significant pre-/post-processing which radically increases computational complexity. In this work, we develop an end-to-end rotation...
2111.03171
Victor Reis
Daniel Dadush, Haotian Jiang, Victor Reis
A New Framework for Matrix Discrepancy: Partial Coloring Bounds via Mirror Descent
24 pages
null
null
null
cs.DS
http://creativecommons.org/licenses/by/4.0/
Motivated by the Matrix Spencer conjecture, we study the problem of finding signed sums of matrices with a small matrix norm. A well-known strategy to obtain these signs is to prove, given matrices $A_1, \dots, A_n \in \mathbb{R}^{m \times m}$, a Gaussian measure lower bound of $2^{-O(n)}$ for a scaling of the discre...
[ { "created": "Thu, 4 Nov 2021 21:44:53 GMT", "version": "v1" } ]
2021-11-08
[ [ "Dadush", "Daniel", "" ], [ "Jiang", "Haotian", "" ], [ "Reis", "Victor", "" ] ]
Motivated by the Matrix Spencer conjecture, we study the problem of finding signed sums of matrices with a small matrix norm. A well-known strategy to obtain these signs is to prove, given matrices $A_1, \dots, A_n \in \mathbb{R}^{m \times m}$, a Gaussian measure lower bound of $2^{-O(n)}$ for a scaling of the discrepa...
2012.15503
Qilong Zhang
Lianli Gao, Qilong Zhang, Jingkuan Song and Heng Tao Shen
Patch-wise++ Perturbation for Adversarial Targeted Attacks
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Although great progress has been made on adversarial attacks for deep neural networks (DNNs), their transferability is still unsatisfactory, especially for targeted attacks. There are two problems behind that have been long overlooked: 1) the conventional setting of $T$ iterations with the step size of $\epsilon/T$ t...
[ { "created": "Thu, 31 Dec 2020 08:40:42 GMT", "version": "v1" }, { "created": "Thu, 7 Jan 2021 07:34:21 GMT", "version": "v2" }, { "created": "Tue, 8 Jun 2021 12:52:44 GMT", "version": "v3" } ]
2021-06-09
[ [ "Gao", "Lianli", "" ], [ "Zhang", "Qilong", "" ], [ "Song", "Jingkuan", "" ], [ "Shen", "Heng Tao", "" ] ]
Although great progress has been made on adversarial attacks for deep neural networks (DNNs), their transferability is still unsatisfactory, especially for targeted attacks. There are two problems behind that have been long overlooked: 1) the conventional setting of $T$ iterations with the step size of $\epsilon/T$ to ...
2203.04258
Joachim Bruneau-Queyreix
Matthieu Pigaglio, Joachim Bruneau-Queyreix, David Bromberg, Davide Frey, Etienne Rivi\`ere, Laurent R\'eveill\`ere
RAPTEE: Leveraging trusted execution environments for Byzantine-tolerant peer sampling services
null
null
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Peer sampling is a first-class abstraction used in distributed systems for overlay management and information dissemination. The goal of peer sampling is to continuously build and refresh a partial and local view of the full membership of a dynamic, large-scale distributed system. Malicious nodes under the control of...
[ { "created": "Tue, 8 Mar 2022 18:20:30 GMT", "version": "v1" } ]
2022-03-09
[ [ "Pigaglio", "Matthieu", "" ], [ "Bruneau-Queyreix", "Joachim", "" ], [ "Bromberg", "David", "" ], [ "Frey", "Davide", "" ], [ "Rivière", "Etienne", "" ], [ "Réveillère", "Laurent", "" ] ]
Peer sampling is a first-class abstraction used in distributed systems for overlay management and information dissemination. The goal of peer sampling is to continuously build and refresh a partial and local view of the full membership of a dynamic, large-scale distributed system. Malicious nodes under the control of a...
1612.07309
Li Li
Li Li, Zhu Li, Bin Li, Dong Liu, and Houqiang Li
Pseudo Sequence based 2-D hierarchical reference structure for Light-Field Image Compression
10 pages, 4 figures, 2 tables
null
10.1109/JSTSP.2017.2725198
null
cs.MM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we present a novel pseudo sequence based 2-D hierarchical reference structure for light-field image compression. In the proposed scheme, we first decompose the light-field image into multiple views and organize them into a 2-D coding structure according to the spatial coordinates of the corresponding m...
[ { "created": "Wed, 21 Dec 2016 20:31:57 GMT", "version": "v1" } ]
2017-11-22
[ [ "Li", "Li", "" ], [ "Li", "Zhu", "" ], [ "Li", "Bin", "" ], [ "Liu", "Dong", "" ], [ "Li", "Houqiang", "" ] ]
In this paper, we present a novel pseudo sequence based 2-D hierarchical reference structure for light-field image compression. In the proposed scheme, we first decompose the light-field image into multiple views and organize them into a 2-D coding structure according to the spatial coordinates of the corresponding mic...
2105.10569
Aileen Nielsen
Aileen Nielsen
Measuring Lay Reactions to Personal Data Markets
null
null
null
null
cs.CY
http://creativecommons.org/licenses/by/4.0/
The recording, aggregation, and exchange of personal data is necessary to the development of socially-relevant machine learning applications. However, anecdotal and survey evidence show that ordinary people feel discontent and even anger regarding data collection practices that are currently typical and legal. This s...
[ { "created": "Fri, 21 May 2021 20:56:19 GMT", "version": "v1" } ]
2021-05-25
[ [ "Nielsen", "Aileen", "" ] ]
The recording, aggregation, and exchange of personal data is necessary to the development of socially-relevant machine learning applications. However, anecdotal and survey evidence show that ordinary people feel discontent and even anger regarding data collection practices that are currently typical and legal. This sug...
1210.1639
Vaneet Aggarwal
Melissa Duarte, Ashutosh Sabharwal, Vaneet Aggarwal, Rittwik Jana, K. K. Ramakrishnan, Christopher Rice and N. K. Shankaranarayanan
Design and Characterization of a Full-duplex Multi-antenna System for WiFi networks
44 page, 11 figures, 8 tables. Submitted to IEEE Transactions on Vehicular Technology, Oct 2012
IEEE Transactions on Vehicular Technology, vol.63, no.3, pp.1160--1177, March 2014
10.1109/TVT.2013.2284712
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we present an experimental and simulation based study to evaluate the use of full-duplex as a mode in practical IEEE 802.11 networks. To enable the study, we designed a 20 MHz multi-antenna OFDM full-duplex physical layer and a full-duplex capable MAC protocol which is backward compatible with current ...
[ { "created": "Fri, 5 Oct 2012 03:40:45 GMT", "version": "v1" }, { "created": "Mon, 8 Oct 2012 02:32:05 GMT", "version": "v2" } ]
2014-07-15
[ [ "Duarte", "Melissa", "" ], [ "Sabharwal", "Ashutosh", "" ], [ "Aggarwal", "Vaneet", "" ], [ "Jana", "Rittwik", "" ], [ "Ramakrishnan", "K. K.", "" ], [ "Rice", "Christopher", "" ], [ "Shankaranarayanan", "N. K....
In this paper, we present an experimental and simulation based study to evaluate the use of full-duplex as a mode in practical IEEE 802.11 networks. To enable the study, we designed a 20 MHz multi-antenna OFDM full-duplex physical layer and a full-duplex capable MAC protocol which is backward compatible with current 80...
2207.10777
Khalid Oublal
Khalid Oublal and Xinyi Dai
An advanced combination of semi-supervised Normalizing Flow & Yolo (YoloNF) to detect and recognize vehicle license plates
arXiv admin note: text overlap with arXiv:1802.09567 by other authors; text overlap with arXiv:2012.06737 by other authors without attribution
null
null
null
cs.CV cs.AI
http://creativecommons.org/licenses/by/4.0/
Fully Automatic License Plate Recognition (ALPR) has been a frequent research topic due to several practical applications. However, many of the current solutions are still not robust enough in real situations, commonly depending on many constraints. This paper presents a robust and efficient ALPR system based on the ...
[ { "created": "Thu, 21 Jul 2022 22:22:57 GMT", "version": "v1" } ]
2022-07-25
[ [ "Oublal", "Khalid", "" ], [ "Dai", "Xinyi", "" ] ]
Fully Automatic License Plate Recognition (ALPR) has been a frequent research topic due to several practical applications. However, many of the current solutions are still not robust enough in real situations, commonly depending on many constraints. This paper presents a robust and efficient ALPR system based on the st...
2006.13341
Liliane Almeida
Liliane Rodrigues de Almeida, Gilson A. Giraldi, Marcelo Bernardes Vieira
Applying Lie Groups Approaches for Rigid Registration of Point Clouds
29 pages, 4 figures, 1 table
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
In the last decades, some literature appeared using the Lie groups theory to solve problems in computer vision. On the other hand, Lie algebraic representations of the transformations therein were introduced to overcome the difficulties behind group structure by mapping the transformation groups to linear spaces. In ...
[ { "created": "Tue, 23 Jun 2020 21:26:57 GMT", "version": "v1" } ]
2020-06-25
[ [ "de Almeida", "Liliane Rodrigues", "" ], [ "Giraldi", "Gilson A.", "" ], [ "Vieira", "Marcelo Bernardes", "" ] ]
In the last decades, some literature appeared using the Lie groups theory to solve problems in computer vision. On the other hand, Lie algebraic representations of the transformations therein were introduced to overcome the difficulties behind group structure by mapping the transformation groups to linear spaces. In th...
0708.2353
Vladimir Vovk
Vladimir Vovk
Continuous and randomized defensive forecasting: unified view
10 pages. The new version: (1) relaxes the assumption that the outcome space is finite, and now it is only assumed to be compact; (2) shows that in the case where the outcome space is finite of cardinality C, the randomized forecasts can be chosen concentrated on a finite set of cardinality at most C
null
null
null
cs.LG
null
Defensive forecasting is a method of transforming laws of probability (stated in game-theoretic terms as strategies for Sceptic) into forecasting algorithms. There are two known varieties of defensive forecasting: "continuous", in which Sceptic's moves are assumed to depend on the forecasts in a (semi)continuous mann...
[ { "created": "Fri, 17 Aug 2007 12:18:24 GMT", "version": "v1" }, { "created": "Thu, 23 Aug 2007 12:44:34 GMT", "version": "v2" } ]
2007-08-23
[ [ "Vovk", "Vladimir", "" ] ]
Defensive forecasting is a method of transforming laws of probability (stated in game-theoretic terms as strategies for Sceptic) into forecasting algorithms. There are two known varieties of defensive forecasting: "continuous", in which Sceptic's moves are assumed to depend on the forecasts in a (semi)continuous manner...
2209.12028
Lichen Zhao
Lichen Zhao, Daigang Cai, Jing Zhang, Lu Sheng, Dong Xu, Rui Zheng, Yinjie Zhao, Lipeng Wang and Xibo Fan
Towards Explainable 3D Grounded Visual Question Answering: A New Benchmark and Strong Baseline
13 pages, 10 figures
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recently, 3D vision-and-language tasks have attracted increasing research interest. Compared to other vision-and-language tasks, the 3D visual question answering (VQA) task is less exploited and is more susceptible to language priors and co-reference ambiguity. Meanwhile, a couple of recently proposed 3D VQA datasets...
[ { "created": "Sat, 24 Sep 2022 15:09:02 GMT", "version": "v1" } ]
2022-09-27
[ [ "Zhao", "Lichen", "" ], [ "Cai", "Daigang", "" ], [ "Zhang", "Jing", "" ], [ "Sheng", "Lu", "" ], [ "Xu", "Dong", "" ], [ "Zheng", "Rui", "" ], [ "Zhao", "Yinjie", "" ], [ "Wang", "Lipeng", ...
Recently, 3D vision-and-language tasks have attracted increasing research interest. Compared to other vision-and-language tasks, the 3D visual question answering (VQA) task is less exploited and is more susceptible to language priors and co-reference ambiguity. Meanwhile, a couple of recently proposed 3D VQA datasets d...
1810.06917
Fragkiskos Malliaros
Abdulkadir \c{C}elikkanat, Fragkiskos D. Malliaros
TNE: A Latent Model for Representation Learning on Networks
9 pages
null
null
null
cs.LG cs.SI stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Network representation learning (NRL) methods aim to map each vertex into a low dimensional space by preserving the local and global structure of a given network, and in recent years they have received a significant attention thanks to their success in several challenging problems. Although various approaches have be...
[ { "created": "Tue, 16 Oct 2018 10:26:47 GMT", "version": "v1" } ]
2018-10-17
[ [ "Çelikkanat", "Abdulkadir", "" ], [ "Malliaros", "Fragkiskos D.", "" ] ]
Network representation learning (NRL) methods aim to map each vertex into a low dimensional space by preserving the local and global structure of a given network, and in recent years they have received a significant attention thanks to their success in several challenging problems. Although various approaches have been...
2408.05065
Wenwen Min
Lin Huang, Xiaofei Liu, Shunfang Wang and Wenwen Min
Masked adversarial neural network for cell type deconvolution in spatial transcriptomics
null
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Accurately determining cell type composition in disease-relevant tissues is crucial for identifying disease targets. Most existing spatial transcriptomics (ST) technologies cannot achieve single-cell resolution, making it challenging to accurately determine cell types. To address this issue, various deconvolution met...
[ { "created": "Fri, 9 Aug 2024 13:46:28 GMT", "version": "v1" } ]
2024-08-12
[ [ "Huang", "Lin", "" ], [ "Liu", "Xiaofei", "" ], [ "Wang", "Shunfang", "" ], [ "Min", "Wenwen", "" ] ]
Accurately determining cell type composition in disease-relevant tissues is crucial for identifying disease targets. Most existing spatial transcriptomics (ST) technologies cannot achieve single-cell resolution, making it challenging to accurately determine cell types. To address this issue, various deconvolution metho...
2407.19705
Jingwei Zhu
Jingwei Zhu, Minghuan Tan, Min Yang, Ruixue Li, Hamid Alinejad-Rokny
CollectiveSFT: Scaling Large Language Models for Chinese Medical Benchmark with Collective Instructions in Healthcare
Technical Report
null
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by-nc-sa/4.0/
The rapid progress in Large Language Models (LLMs) has prompted the creation of numerous benchmarks to evaluate their capabilities.This study focuses on the Comprehensive Medical Benchmark in Chinese (CMB), showcasing how dataset diversity and distribution in supervised fine-tuning (SFT) may enhance LLM performance.R...
[ { "created": "Mon, 29 Jul 2024 05:00:48 GMT", "version": "v1" }, { "created": "Tue, 30 Jul 2024 08:23:05 GMT", "version": "v2" } ]
2024-07-31
[ [ "Zhu", "Jingwei", "" ], [ "Tan", "Minghuan", "" ], [ "Yang", "Min", "" ], [ "Li", "Ruixue", "" ], [ "Alinejad-Rokny", "Hamid", "" ] ]
The rapid progress in Large Language Models (LLMs) has prompted the creation of numerous benchmarks to evaluate their capabilities.This study focuses on the Comprehensive Medical Benchmark in Chinese (CMB), showcasing how dataset diversity and distribution in supervised fine-tuning (SFT) may enhance LLM performance.Rem...
2106.13901
Ramya Srinivasan
Ramya Srinivasan and Devi Parikh
Building Bridges: Generative Artworks to Explore AI Ethics
null
CVPR Workshop on Ethical Considerations in Creative Applications of Computer Vision, 2022
null
null
cs.CY cs.AI
http://creativecommons.org/licenses/by-nc-nd/4.0/
In recent years, there has been an increased emphasis on understanding and mitigating adverse impacts of artificial intelligence (AI) technologies on society. Across academia, industry, and government bodies, a variety of endeavours are being pursued towards enhancing AI ethics. A significant challenge in the design ...
[ { "created": "Fri, 25 Jun 2021 22:31:55 GMT", "version": "v1" } ]
2022-05-18
[ [ "Srinivasan", "Ramya", "" ], [ "Parikh", "Devi", "" ] ]
In recent years, there has been an increased emphasis on understanding and mitigating adverse impacts of artificial intelligence (AI) technologies on society. Across academia, industry, and government bodies, a variety of endeavours are being pursued towards enhancing AI ethics. A significant challenge in the design of...
2211.05986
Swati Sharma
Swati Sharma, Aditi Partap, Maria Angels de Luis Balaguer, Sara Malvar, Ranveer Chandra
DeepG2P: Fusing Multi-Modal Data to Improve Crop Production
Under review in AISTATS2023
null
null
null
cs.LG cs.CY
http://creativecommons.org/licenses/by-nc-nd/4.0/
Agriculture is at the heart of the solution to achieve sustainability in feeding the world population, but advancing our understanding on how agricultural output responds to climatic variability is still needed. Precision Agriculture (PA), which is a management strategy that uses technology such as remote sensing, Ge...
[ { "created": "Fri, 11 Nov 2022 03:32:44 GMT", "version": "v1" } ]
2022-11-14
[ [ "Sharma", "Swati", "" ], [ "Partap", "Aditi", "" ], [ "Balaguer", "Maria Angels de Luis", "" ], [ "Malvar", "Sara", "" ], [ "Chandra", "Ranveer", "" ] ]
Agriculture is at the heart of the solution to achieve sustainability in feeding the world population, but advancing our understanding on how agricultural output responds to climatic variability is still needed. Precision Agriculture (PA), which is a management strategy that uses technology such as remote sensing, Geog...
1401.4532
Yanfei Yan
Yanfei Yan, Ling Liu, Cong Ling
Polar Lattices for Strong Secrecy Over the Mod-$\Lambda$ Gaussian Wiretap Channel
7 pages, 2 figures, extended version of a paper submitted to ISIT'14
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Polar lattices, which are constructed from polar codes, are provably good for the additive white Gaussian noise (AWGN) channel. In this work, we propose a new polar lattice construction that achieves the secrecy capacity under the strong secrecy criterion over the mod-$\Lambda$ Gaussian wiretap channel. This construc...
[ { "created": "Sat, 18 Jan 2014 11:41:44 GMT", "version": "v1" }, { "created": "Fri, 24 Jan 2014 10:49:01 GMT", "version": "v2" } ]
2014-01-27
[ [ "Yan", "Yanfei", "" ], [ "Liu", "Ling", "" ], [ "Ling", "Cong", "" ] ]
Polar lattices, which are constructed from polar codes, are provably good for the additive white Gaussian noise (AWGN) channel. In this work, we propose a new polar lattice construction that achieves the secrecy capacity under the strong secrecy criterion over the mod-$\Lambda$ Gaussian wiretap channel. This constructi...
2202.14019
Paritosh Parmar
Paritosh Parmar, Amol Gharat, Helge Rhodin
Domain Knowledge-Informed Self-Supervised Representations for Workout Form Assessment
null
null
null
null
cs.CV cs.AI cs.HC cs.LG
http://creativecommons.org/licenses/by-sa/4.0/
Maintaining proper form while exercising is important for preventing injuries and maximizing muscle mass gains. Detecting errors in workout form naturally requires estimating human's body pose. However, off-the-shelf pose estimators struggle to perform well on the videos recorded in gym scenarios due to factors such ...
[ { "created": "Mon, 28 Feb 2022 18:40:02 GMT", "version": "v1" }, { "created": "Fri, 21 Oct 2022 17:10:15 GMT", "version": "v2" } ]
2022-10-24
[ [ "Parmar", "Paritosh", "" ], [ "Gharat", "Amol", "" ], [ "Rhodin", "Helge", "" ] ]
Maintaining proper form while exercising is important for preventing injuries and maximizing muscle mass gains. Detecting errors in workout form naturally requires estimating human's body pose. However, off-the-shelf pose estimators struggle to perform well on the videos recorded in gym scenarios due to factors such as...