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2406.11938
Hayden Helm
Hayden Helm and Brandon Duderstadt and Youngser Park and Carey E. Priebe
Tracking the perspectives of interacting language models
null
null
null
null
cs.AI cs.MA
http://creativecommons.org/licenses/by-nc-nd/4.0/
Large language models (LLMs) are capable of producing high quality information at unprecedented rates. As these models continue to entrench themselves in society, the content they produce will become increasingly pervasive in databases that are, in turn, incorporated into the pre-training data, fine-tuning data, retr...
[ { "created": "Mon, 17 Jun 2024 17:20:16 GMT", "version": "v1" } ]
2024-06-19
[ [ "Helm", "Hayden", "" ], [ "Duderstadt", "Brandon", "" ], [ "Park", "Youngser", "" ], [ "Priebe", "Carey E.", "" ] ]
Large language models (LLMs) are capable of producing high quality information at unprecedented rates. As these models continue to entrench themselves in society, the content they produce will become increasingly pervasive in databases that are, in turn, incorporated into the pre-training data, fine-tuning data, retrie...
1907.03356
Petr Ro\v{c}kai
Petr Ro\v{c}kai, Zuzana Baranov\'a, Jan Mr\'azek, Katar\'ina Kejstov\'a, Ji\v{r}\'i Barnat
Reproducible Execution of POSIX Programs with DiOS
null
null
null
null
cs.OS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we describe DiOS, a lightweight model operating system which can be used to execute programs that make use of POSIX APIs. Such executions are fully reproducible: running the same program with the same inputs twice will result in two exactly identical instruction traces, even if the program uses threads...
[ { "created": "Sun, 7 Jul 2019 22:26:02 GMT", "version": "v1" } ]
2019-07-09
[ [ "Ročkai", "Petr", "" ], [ "Baranová", "Zuzana", "" ], [ "Mrázek", "Jan", "" ], [ "Kejstová", "Katarína", "" ], [ "Barnat", "Jiří", "" ] ]
In this paper, we describe DiOS, a lightweight model operating system which can be used to execute programs that make use of POSIX APIs. Such executions are fully reproducible: running the same program with the same inputs twice will result in two exactly identical instruction traces, even if the program uses threads f...
2309.07382
Hayate Iso
Yunshu Wu, Hayate Iso, Pouya Pezeshkpour, Nikita Bhutani, Estevam Hruschka
Less is More for Long Document Summary Evaluation by LLMs
EACL (main)
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Large Language Models (LLMs) have shown promising performance in summary evaluation tasks, yet they face challenges such as high computational costs and the Lost-in-the-Middle problem where important information in the middle of long documents is often overlooked. To address these issues, this paper introduces a nove...
[ { "created": "Thu, 14 Sep 2023 01:59:15 GMT", "version": "v1" }, { "created": "Thu, 18 Jan 2024 18:23:37 GMT", "version": "v2" } ]
2024-01-19
[ [ "Wu", "Yunshu", "" ], [ "Iso", "Hayate", "" ], [ "Pezeshkpour", "Pouya", "" ], [ "Bhutani", "Nikita", "" ], [ "Hruschka", "Estevam", "" ] ]
Large Language Models (LLMs) have shown promising performance in summary evaluation tasks, yet they face challenges such as high computational costs and the Lost-in-the-Middle problem where important information in the middle of long documents is often overlooked. To address these issues, this paper introduces a novel ...
2403.08783
Fatma Shalabi
Fatma Shalabi, Huy H. Nguyen, Hichem Felouat, Ching-Chun Chang, and Isao Echizen
Image-Text Out-Of-Context Detection Using Synthetic Multimodal Misinformation
8 pages, 2 figures, conference
null
10.1109/APSIPAASC58517.2023.10317336
null
cs.CV cs.AI cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Misinformation has become a major challenge in the era of increasing digital information, requiring the development of effective detection methods. We have investigated a novel approach to Out-Of-Context detection (OOCD) that uses synthetic data generation. We created a dataset specifically designed for OOCD and deve...
[ { "created": "Mon, 29 Jan 2024 11:55:14 GMT", "version": "v1" } ]
2024-03-15
[ [ "Shalabi", "Fatma", "" ], [ "Nguyen", "Huy H.", "" ], [ "Felouat", "Hichem", "" ], [ "Chang", "Ching-Chun", "" ], [ "Echizen", "Isao", "" ] ]
Misinformation has become a major challenge in the era of increasing digital information, requiring the development of effective detection methods. We have investigated a novel approach to Out-Of-Context detection (OOCD) that uses synthetic data generation. We created a dataset specifically designed for OOCD and develo...
1111.3602
Davide Schipani
Michele Elia, Davide Schipani
On the Rabin signature
General revision; new section on blind signatures
null
null
null
cs.CR cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Some Rabin signature schemes may be exposed to forgery; several variants are here described to counter this vulnerability. Blind Rabin signatures are also discussed.
[ { "created": "Thu, 10 Nov 2011 23:50:06 GMT", "version": "v1" }, { "created": "Sat, 26 Nov 2011 17:04:16 GMT", "version": "v2" }, { "created": "Sat, 17 Dec 2011 18:11:00 GMT", "version": "v3" } ]
2011-12-20
[ [ "Elia", "Michele", "" ], [ "Schipani", "Davide", "" ] ]
Some Rabin signature schemes may be exposed to forgery; several variants are here described to counter this vulnerability. Blind Rabin signatures are also discussed.
1203.5830
Viet Hung Nguyen
Viet Hung Nguyen and Fabio Massacci
An Independent Validation of Vulnerability Discovery Models
This paper is to appear in ASIACCS'12
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Having a precise vulnerability discovery model (VDM) would provide a useful quantitative insight to assess software security. Thus far, several models have been proposed with some evidence supporting their goodness-of-fit. In this work we describe an independent validation of the applicability of six existing VDMs ...
[ { "created": "Mon, 26 Mar 2012 22:14:15 GMT", "version": "v1" } ]
2012-03-28
[ [ "Nguyen", "Viet Hung", "" ], [ "Massacci", "Fabio", "" ] ]
Having a precise vulnerability discovery model (VDM) would provide a useful quantitative insight to assess software security. Thus far, several models have been proposed with some evidence supporting their goodness-of-fit. In this work we describe an independent validation of the applicability of six existing VDMs in s...
2008.12132
Christina Uhl
Christina Uhl, Nadia Abou Nabout, Klaus Miller
How Much Ad Viewability is Enough? The Effect of Display Ad Viewability on Advertising Effectiveness
null
null
null
null
cs.CY econ.GN q-fin.EC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A large share of all online display advertisements (ads) are never seen by a human. For instance, an ad could appear below the page fold, where a user never scrolls. Yet, an ad is essentially ineffective if it is not at least somewhat viewable. Ad viewability - which refers to the pixel percentage-in-view and the exp...
[ { "created": "Wed, 26 Aug 2020 05:49:57 GMT", "version": "v1" } ]
2020-08-28
[ [ "Uhl", "Christina", "" ], [ "Nabout", "Nadia Abou", "" ], [ "Miller", "Klaus", "" ] ]
A large share of all online display advertisements (ads) are never seen by a human. For instance, an ad could appear below the page fold, where a user never scrolls. Yet, an ad is essentially ineffective if it is not at least somewhat viewable. Ad viewability - which refers to the pixel percentage-in-view and the expos...
1912.10847
Preeti Sah
Preeti Sah and Ernest Fokou\'e
What do Asian Religions Have in Common? An Unsupervised Text Analytics Exploration
18 pages, 22 figures
null
null
null
cs.CL cs.LG stat.AP
http://creativecommons.org/licenses/by/4.0/
The main source of various religious teachings is their sacred texts which vary from religion to religion based on different factors like the geographical location or time of the birth of a particular religion. Despite these differences, there could be similarities between the sacred texts based on what lessons it te...
[ { "created": "Fri, 20 Dec 2019 18:28:29 GMT", "version": "v1" } ]
2019-12-24
[ [ "Sah", "Preeti", "" ], [ "Fokoué", "Ernest", "" ] ]
The main source of various religious teachings is their sacred texts which vary from religion to religion based on different factors like the geographical location or time of the birth of a particular religion. Despite these differences, there could be similarities between the sacred texts based on what lessons it teac...
1905.00784
Aline Goeminne
Thomas Brihaye, V\'eronique Bruy\`ere, Aline Goeminne, Jean-Fran\c{c}ois Raskin and Marie van den Bogaard
The Complexity of Subgame Perfect Equilibria in Quantitative Reachability Games
null
Logical Methods in Computer Science, Volume 16, Issue 4 (November 5, 2020) lmcs:5966
10.23638/LMCS-16(4:8)2020
null
cs.GT cs.LO
http://creativecommons.org/licenses/by/4.0/
We study multiplayer quantitative reachability games played on a finite directed graph, where the objective of each player is to reach his target set of vertices as quickly as possible. Instead of the well-known notion of Nash equilibrium (NE), we focus on the notion of subgame perfect equilibrium (SPE), a refinement...
[ { "created": "Thu, 2 May 2019 14:47:15 GMT", "version": "v1" }, { "created": "Fri, 3 May 2019 13:19:51 GMT", "version": "v2" }, { "created": "Mon, 8 Jul 2019 13:04:43 GMT", "version": "v3" }, { "created": "Wed, 4 Dec 2019 10:55:43 GMT", "version": "v4" }, { "creat...
2023-06-22
[ [ "Brihaye", "Thomas", "" ], [ "Bruyère", "Véronique", "" ], [ "Goeminne", "Aline", "" ], [ "Raskin", "Jean-François", "" ], [ "Bogaard", "Marie van den", "" ] ]
We study multiplayer quantitative reachability games played on a finite directed graph, where the objective of each player is to reach his target set of vertices as quickly as possible. Instead of the well-known notion of Nash equilibrium (NE), we focus on the notion of subgame perfect equilibrium (SPE), a refinement o...
2204.07321
Chuang Liu
Chuang Liu, Yibing Zhan, Jia Wu, Chang Li, Bo Du, Wenbin Hu, Tongliang Liu, Dacheng Tao
Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities
11 pages, 2 figures. Accepted by IJCAI Survey Track 2023
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Graph neural networks have emerged as a leading architecture for many graph-level tasks, such as graph classification and graph generation. As an essential component of the architecture, graph pooling is indispensable for obtaining a holistic graph-level representation of the whole graph. Although a great variety of ...
[ { "created": "Fri, 15 Apr 2022 04:02:06 GMT", "version": "v1" }, { "created": "Thu, 22 Jun 2023 15:00:07 GMT", "version": "v2" } ]
2023-06-23
[ [ "Liu", "Chuang", "" ], [ "Zhan", "Yibing", "" ], [ "Wu", "Jia", "" ], [ "Li", "Chang", "" ], [ "Du", "Bo", "" ], [ "Hu", "Wenbin", "" ], [ "Liu", "Tongliang", "" ], [ "Tao", "Dacheng", "" ...
Graph neural networks have emerged as a leading architecture for many graph-level tasks, such as graph classification and graph generation. As an essential component of the architecture, graph pooling is indispensable for obtaining a holistic graph-level representation of the whole graph. Although a great variety of me...
1804.01422
Jian Xu
Jian Xu, Chunheng Wang, Chengzuo Qi, Cunzhao Shi, and Baihua Xiao
Unsupervised Semantic-based Aggregation of Deep Convolutional Features
10 pages. arXiv admin note: text overlap with arXiv:1705.01247
null
10.1109/TIP.2018.2867104
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we propose a simple but effective semantic-based aggregation (SBA) method. The proposed SBA utilizes the discriminative filters of deep convolutional layers as semantic detectors. Moreover, we propose the effective unsupervised strategy to select some semantic detectors to generate the "probabilistic p...
[ { "created": "Tue, 3 Apr 2018 07:43:05 GMT", "version": "v1" } ]
2018-11-14
[ [ "Xu", "Jian", "" ], [ "Wang", "Chunheng", "" ], [ "Qi", "Chengzuo", "" ], [ "Shi", "Cunzhao", "" ], [ "Xiao", "Baihua", "" ] ]
In this paper, we propose a simple but effective semantic-based aggregation (SBA) method. The proposed SBA utilizes the discriminative filters of deep convolutional layers as semantic detectors. Moreover, we propose the effective unsupervised strategy to select some semantic detectors to generate the "probabilistic pro...
2012.00508
Rupert Mitchell
Rupert Mitchell, Jan Blumenkamp and Amanda Prorok
Gaussian Process Based Message Filtering for Robust Multi-Agent Cooperation in the Presence of Adversarial Communication
null
null
null
null
cs.RO cs.AI cs.LG cs.MA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we consider the problem of providing robustness to adversarial communication in multi-agent systems. Specifically, we propose a solution towards robust cooperation, which enables the multi-agent system to maintain high performance in the presence of anonymous non-cooperative agents that communicate fau...
[ { "created": "Tue, 1 Dec 2020 14:21:58 GMT", "version": "v1" } ]
2020-12-02
[ [ "Mitchell", "Rupert", "" ], [ "Blumenkamp", "Jan", "" ], [ "Prorok", "Amanda", "" ] ]
In this paper, we consider the problem of providing robustness to adversarial communication in multi-agent systems. Specifically, we propose a solution towards robust cooperation, which enables the multi-agent system to maintain high performance in the presence of anonymous non-cooperative agents that communicate fault...
1412.2620
Gundram Leifert
G. Leifert, T. Strau{\ss}, T. Gr\"uning, R. Labahn (University of Rostock)
Cells in Multidimensional Recurrent Neural Networks
null
Journal of Machine Learning Research 17 (2016) 1-37
null
null
cs.AI cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The transcription of handwritten text on images is one task in machine learning and one solution to solve it is using multi-dimensional recurrent neural networks (MDRNN) with connectionist temporal classification (CTC). The RNNs can contain special units, the long short-term memory (LSTM) cells. They are able to lear...
[ { "created": "Mon, 8 Dec 2014 15:47:45 GMT", "version": "v1" }, { "created": "Tue, 16 Feb 2016 12:26:37 GMT", "version": "v2" } ]
2019-08-28
[ [ "Leifert", "G.", "", "University of\n Rostock" ], [ "Strauß", "T.", "", "University of\n Rostock" ], [ "Grüning", "T.", "", "University of\n Rostock" ], [ "Labahn", "R.", "", "University of\n Rostock" ] ]
The transcription of handwritten text on images is one task in machine learning and one solution to solve it is using multi-dimensional recurrent neural networks (MDRNN) with connectionist temporal classification (CTC). The RNNs can contain special units, the long short-term memory (LSTM) cells. They are able to learn ...
2209.04687
Lantian Li Mr.
Lantian Li and Di Wang and Dong Wang
Pay Attention to Hard Trials
null
null
null
null
cs.SD eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Performance of speaker recognition systems is evaluated on test trials. Although as crucial as rulers for tailors, trials have not been carefully treated so far, and most existing benchmarks compose trials by naive cross-pairing. In this paper, we argue that the cross-pairing approach produces overwhelming easy trial...
[ { "created": "Sat, 10 Sep 2022 15:16:05 GMT", "version": "v1" } ]
2022-09-13
[ [ "Li", "Lantian", "" ], [ "Wang", "Di", "" ], [ "Wang", "Dong", "" ] ]
Performance of speaker recognition systems is evaluated on test trials. Although as crucial as rulers for tailors, trials have not been carefully treated so far, and most existing benchmarks compose trials by naive cross-pairing. In this paper, we argue that the cross-pairing approach produces overwhelming easy trials,...
1811.05013
Ankesh Anand
Ankesh Anand, Eugene Belilovsky, Kyle Kastner, Hugo Larochelle, Aaron Courville
Blindfold Baselines for Embodied QA
NIPS 2018 Visually-Grounded Interaction and Language (ViGilL) Workshop
null
null
null
cs.CV cs.AI cs.CL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We explore blindfold (question-only) baselines for Embodied Question Answering. The EmbodiedQA task requires an agent to answer a question by intelligently navigating in a simulated environment, gathering necessary visual information only through first-person vision before finally answering. Consequently, a blindfold...
[ { "created": "Mon, 12 Nov 2018 21:45:41 GMT", "version": "v1" } ]
2018-11-14
[ [ "Anand", "Ankesh", "" ], [ "Belilovsky", "Eugene", "" ], [ "Kastner", "Kyle", "" ], [ "Larochelle", "Hugo", "" ], [ "Courville", "Aaron", "" ] ]
We explore blindfold (question-only) baselines for Embodied Question Answering. The EmbodiedQA task requires an agent to answer a question by intelligently navigating in a simulated environment, gathering necessary visual information only through first-person vision before finally answering. Consequently, a blindfold b...
2408.02614
Nour Khezemi
Nour Khezemi, Sikandar Ejaza, Naouel Moha, Yann-Ga\"el Gu\'eh\'eneuc
Comparison of Code Quality and Best Practices in IoT and non-IoT Software
null
null
null
null
cs.SE
http://creativecommons.org/licenses/by/4.0/
Context: IoT systems, networks of connected devices powered by software, require studying software quality for maintenance. Despite extensive studies on non-IoT software quality, research on IoT software quality is lacking. It is uncertain if IoT and non-IoT systems software are comparable, hindering the confident ap...
[ { "created": "Mon, 5 Aug 2024 16:39:04 GMT", "version": "v1" } ]
2024-08-06
[ [ "Khezemi", "Nour", "" ], [ "Ejaza", "Sikandar", "" ], [ "Moha", "Naouel", "" ], [ "Guéhéneuc", "Yann-Gaël", "" ] ]
Context: IoT systems, networks of connected devices powered by software, require studying software quality for maintenance. Despite extensive studies on non-IoT software quality, research on IoT software quality is lacking. It is uncertain if IoT and non-IoT systems software are comparable, hindering the confident appl...
2005.10876
Marco Toldo
Marco Toldo, Andrea Maracani, Umberto Michieli and Pietro Zanuttigh
Unsupervised Domain Adaptation in Semantic Segmentation: a Review
34 pages, 7 figures, 2 tables
null
null
null
cs.CV cs.LG eess.IV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The aim of this paper is to give an overview of the recent advancements in the Unsupervised Domain Adaptation (UDA) of deep networks for semantic segmentation. This task is attracting a wide interest, since semantic segmentation models require a huge amount of labeled data and the lack of data fitting specific requir...
[ { "created": "Thu, 21 May 2020 20:10:38 GMT", "version": "v1" } ]
2020-05-25
[ [ "Toldo", "Marco", "" ], [ "Maracani", "Andrea", "" ], [ "Michieli", "Umberto", "" ], [ "Zanuttigh", "Pietro", "" ] ]
The aim of this paper is to give an overview of the recent advancements in the Unsupervised Domain Adaptation (UDA) of deep networks for semantic segmentation. This task is attracting a wide interest, since semantic segmentation models require a huge amount of labeled data and the lack of data fitting specific requirem...
2010.04887
Forrest Davis
Forrest Davis and Marten van Schijndel
Discourse structure interacts with reference but not syntax in neural language models
Proceedings of the 2020 Conference on Computational Natural Language Learning (CoNLL 2020)
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Language models (LMs) trained on large quantities of text have been claimed to acquire abstract linguistic representations. Our work tests the robustness of these abstractions by focusing on the ability of LMs to learn interactions between different linguistic representations. In particular, we utilized stimuli from ...
[ { "created": "Sat, 10 Oct 2020 03:14:00 GMT", "version": "v1" } ]
2020-10-13
[ [ "Davis", "Forrest", "" ], [ "van Schijndel", "Marten", "" ] ]
Language models (LMs) trained on large quantities of text have been claimed to acquire abstract linguistic representations. Our work tests the robustness of these abstractions by focusing on the ability of LMs to learn interactions between different linguistic representations. In particular, we utilized stimuli from ps...
2102.08327
Federico Fusco
Georgios Amanatidis, Federico Fusco, Philip Lazos, Stefano Leonardi, Alberto Marchetti Spaccamela, Rebecca Reiffenh\"auser
Submodular Maximization subject to a Knapsack Constraint: Combinatorial Algorithms with Near-optimal Adaptive Complexity
This version addresses a gap in the probabilistic analysis of the approximation guarantees in the previous version of this work. We provide a simple fix via a standard sampling routine while maintaining the same approximation guarantees and complexity bounds. (formerly appeared as arXiv:2007.05014v2 in error)
Proceedings of the 38th International Conference on Machine Learning, PMLR 139:231-242, 2021
null
null
cs.DS cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Submodular maximization is a classic algorithmic problem with multiple applications in data mining and machine learning; there, the growing need to deal with massive instances motivates the design of algorithms balancing the quality of the solution with applicability. For the latter, an important measure is the adapt...
[ { "created": "Tue, 16 Feb 2021 18:15:51 GMT", "version": "v1" }, { "created": "Fri, 20 Oct 2023 08:22:31 GMT", "version": "v2" } ]
2024-02-20
[ [ "Amanatidis", "Georgios", "" ], [ "Fusco", "Federico", "" ], [ "Lazos", "Philip", "" ], [ "Leonardi", "Stefano", "" ], [ "Spaccamela", "Alberto Marchetti", "" ], [ "Reiffenhäuser", "Rebecca", "" ] ]
Submodular maximization is a classic algorithmic problem with multiple applications in data mining and machine learning; there, the growing need to deal with massive instances motivates the design of algorithms balancing the quality of the solution with applicability. For the latter, an important measure is the adaptiv...
1612.06699
Pierre Sermanet
Pierre Sermanet, Kelvin Xu, Sergey Levine
Unsupervised Perceptual Rewards for Imitation Learning
null
null
null
null
cs.CV cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Reward function design and exploration time are arguably the biggest obstacles to the deployment of reinforcement learning (RL) agents in the real world. In many real-world tasks, designing a reward function takes considerable hand engineering and often requires additional sensors to be installed just to measure whet...
[ { "created": "Tue, 20 Dec 2016 15:04:38 GMT", "version": "v1" }, { "created": "Mon, 26 Dec 2016 13:47:34 GMT", "version": "v2" }, { "created": "Mon, 12 Jun 2017 21:38:17 GMT", "version": "v3" } ]
2017-06-14
[ [ "Sermanet", "Pierre", "" ], [ "Xu", "Kelvin", "" ], [ "Levine", "Sergey", "" ] ]
Reward function design and exploration time are arguably the biggest obstacles to the deployment of reinforcement learning (RL) agents in the real world. In many real-world tasks, designing a reward function takes considerable hand engineering and often requires additional sensors to be installed just to measure whethe...
1903.10670
Xiaoxi Chelsy Xie
Xiaoxi Chelsy Xie, Isaac Johnson, Anne Gomez
Detecting and Gauging Impact on Wikipedia Page Views
null
null
10.1145/3308560.3316751
null
cs.CY
http://creativecommons.org/licenses/by/4.0/
Understanding how various external campaigns or events affect readership on Wikipedia is important to efforts aimed at improving awareness and access to its content. In this paper, we consider how to build time-series models aimed at predicting page views on Wikipedia with the goal of detecting whether there are sign...
[ { "created": "Tue, 26 Mar 2019 04:27:20 GMT", "version": "v1" } ]
2019-03-27
[ [ "Xie", "Xiaoxi Chelsy", "" ], [ "Johnson", "Isaac", "" ], [ "Gomez", "Anne", "" ] ]
Understanding how various external campaigns or events affect readership on Wikipedia is important to efforts aimed at improving awareness and access to its content. In this paper, we consider how to build time-series models aimed at predicting page views on Wikipedia with the goal of detecting whether there are signif...
1210.6777
Miguel Rodrigues
Miguel Rodrigues
Multiple-antenna fading coherent channels with arbitrary inputs: Characterization and optimization of the reliable information transmission rate
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We investigate the constrained capacity of multiple-antenna fading coherent channels, where the receiver knows the channel state but the transmitter knows only the channel distribution, driven by arbitrary equiprobable discrete inputs in a regime of high signal-to-noise ratio (${\sf snr}$). In particular, we capitali...
[ { "created": "Thu, 25 Oct 2012 09:57:31 GMT", "version": "v1" } ]
2012-10-26
[ [ "Rodrigues", "Miguel", "" ] ]
We investigate the constrained capacity of multiple-antenna fading coherent channels, where the receiver knows the channel state but the transmitter knows only the channel distribution, driven by arbitrary equiprobable discrete inputs in a regime of high signal-to-noise ratio (${\sf snr}$). In particular, we capitalize...
2012.08640
Gustau Camps-Valls
Jochem Verrelst, Juan Pablo Rivera, Anatoly Gitelson, Jesus Delegido, Jos\'e Moreno, Gustau Camps-Valls
Spectral band selection for vegetation properties retrieval using Gaussian processes regression
null
International Journal of Applied Earth Observation and Geoinformation Volume 52, October 2016, Pages 554-567
10.1016/j.jag.2016.07.016
null
cs.CV eess.IV stat.AP
http://creativecommons.org/licenses/by-nc-nd/4.0/
With current and upcoming imaging spectrometers, automated band analysis techniques are needed to enable efficient identification of most informative bands to facilitate optimized processing of spectral data into estimates of biophysical variables. This paper introduces an automated spectral band analysis tool (BAT) ...
[ { "created": "Mon, 7 Dec 2020 09:28:33 GMT", "version": "v1" } ]
2020-12-17
[ [ "Verrelst", "Jochem", "" ], [ "Rivera", "Juan Pablo", "" ], [ "Gitelson", "Anatoly", "" ], [ "Delegido", "Jesus", "" ], [ "Moreno", "José", "" ], [ "Camps-Valls", "Gustau", "" ] ]
With current and upcoming imaging spectrometers, automated band analysis techniques are needed to enable efficient identification of most informative bands to facilitate optimized processing of spectral data into estimates of biophysical variables. This paper introduces an automated spectral band analysis tool (BAT) ba...
2312.11444
Graham Neubig
Syeda Nahida Akter, Zichun Yu, Aashiq Muhamed, Tianyue Ou, Alex B\"auerle, \'Angel Alexander Cabrera, Krish Dholakia, Chenyan Xiong, Graham Neubig
An In-depth Look at Gemini's Language Abilities
null
null
null
null
cs.CL cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The recently released Google Gemini class of models are the first to comprehensively report results that rival the OpenAI GPT series across a wide variety of tasks. In this paper, we do an in-depth exploration of Gemini's language abilities, making two contributions. First, we provide a third-party, objective compari...
[ { "created": "Mon, 18 Dec 2023 18:47:42 GMT", "version": "v1" }, { "created": "Sun, 24 Dec 2023 12:25:10 GMT", "version": "v2" } ]
2023-12-27
[ [ "Akter", "Syeda Nahida", "" ], [ "Yu", "Zichun", "" ], [ "Muhamed", "Aashiq", "" ], [ "Ou", "Tianyue", "" ], [ "Bäuerle", "Alex", "" ], [ "Cabrera", "Ángel Alexander", "" ], [ "Dholakia", "Krish", "" ], ...
The recently released Google Gemini class of models are the first to comprehensively report results that rival the OpenAI GPT series across a wide variety of tasks. In this paper, we do an in-depth exploration of Gemini's language abilities, making two contributions. First, we provide a third-party, objective compariso...
2101.07390
Vijay Vazirani
Vijay V. Vazirani
The General Graph Matching Game: Approximate Core
10 pages
null
null
null
cs.GT econ.TH math.CO
http://creativecommons.org/licenses/by/4.0/
The classic paper of Shapley and Shubik \cite{Shapley1971assignment} characterized the core of the assignment game using ideas from matching theory and LP-duality theory and their highly non-trivial interplay. Whereas the core of this game is always non-empty, that of the general graph matching game can be empty. T...
[ { "created": "Tue, 19 Jan 2021 00:53:22 GMT", "version": "v1" }, { "created": "Thu, 21 Jan 2021 05:10:16 GMT", "version": "v2" }, { "created": "Mon, 26 Apr 2021 12:08:16 GMT", "version": "v3" }, { "created": "Fri, 16 Jul 2021 17:55:03 GMT", "version": "v4" } ]
2021-07-19
[ [ "Vazirani", "Vijay V.", "" ] ]
The classic paper of Shapley and Shubik \cite{Shapley1971assignment} characterized the core of the assignment game using ideas from matching theory and LP-duality theory and their highly non-trivial interplay. Whereas the core of this game is always non-empty, that of the general graph matching game can be empty. This ...
1611.06605
Haris Angelidakis
Haris Angelidakis, Yury Makarychev and Vsevolod Oparin
Algorithmic and Hardness Results for the Hub Labeling Problem
To appear in SODA17
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
There has been significant success in designing highly efficient algorithms for distance and shortest-path queries in recent years; many of the state-of-the-art algorithms use the hub labeling framework. In this paper, we study the approximability of the Hub Labeling problem. We prove a hardness of $\Omega(\log n)$ f...
[ { "created": "Sun, 20 Nov 2016 22:44:12 GMT", "version": "v1" } ]
2016-11-22
[ [ "Angelidakis", "Haris", "" ], [ "Makarychev", "Yury", "" ], [ "Oparin", "Vsevolod", "" ] ]
There has been significant success in designing highly efficient algorithms for distance and shortest-path queries in recent years; many of the state-of-the-art algorithms use the hub labeling framework. In this paper, we study the approximability of the Hub Labeling problem. We prove a hardness of $\Omega(\log n)$ for...
1204.0067
Shuqing Zeng
Shuqing Zeng
Estimating Rigid Transformation Between Two Range Maps Using Expectation Maximization Algorithm
null
null
null
null
cs.RO
http://creativecommons.org/licenses/by-nc-sa/3.0/
We address the problem of estimating a rigid transformation between two point sets, which is a key module for target tracking system using Light Detection And Ranging (LiDAR). A fast implementation of Expectation-maximization (EM) algorithm is presented whose complexity is O(N) with $N$ the number of scan points.
[ { "created": "Sat, 31 Mar 2012 03:20:02 GMT", "version": "v1" } ]
2012-04-03
[ [ "Zeng", "Shuqing", "" ] ]
We address the problem of estimating a rigid transformation between two point sets, which is a key module for target tracking system using Light Detection And Ranging (LiDAR). A fast implementation of Expectation-maximization (EM) algorithm is presented whose complexity is O(N) with $N$ the number of scan points.
2302.07072
Mengxiao Zhang
Fengjuan Jia, Mengxiao Zhang, Jiamou Liu, Bakh Khoussainov
Differentially Private Diffusion Auction: The Single-unit Case
null
null
null
null
cs.GT
http://creativecommons.org/licenses/by/4.0/
Diffusion auction refers to an emerging paradigm of online marketplace where an auctioneer utilises a social network to attract potential buyers. Diffusion auction poses significant privacy risks. From the auction outcome, it is possible to infer hidden, and potentially sensitive, preferences of buyers. To mitigate s...
[ { "created": "Tue, 14 Feb 2023 14:35:45 GMT", "version": "v1" }, { "created": "Thu, 16 Feb 2023 15:08:16 GMT", "version": "v2" } ]
2023-02-17
[ [ "Jia", "Fengjuan", "" ], [ "Zhang", "Mengxiao", "" ], [ "Liu", "Jiamou", "" ], [ "Khoussainov", "Bakh", "" ] ]
Diffusion auction refers to an emerging paradigm of online marketplace where an auctioneer utilises a social network to attract potential buyers. Diffusion auction poses significant privacy risks. From the auction outcome, it is possible to infer hidden, and potentially sensitive, preferences of buyers. To mitigate suc...
2401.09854
Samira Afzal
Samira Afzal, Narges Mehran, Zoha Azimi Ourimi, Farzad Tashtarian, Hadi Amirpour, Radu Prodan, Christian Timmerer
A Survey on Energy Consumption and Environmental Impact of Video Streaming
null
null
null
null
cs.MM
http://creativecommons.org/licenses/by/4.0/
Climate change challenges require a notable decrease in worldwide greenhouse gas (GHG) emissions across technology sectors. Digital technologies, especially video streaming, accounting for most Internet traffic, make no exception. Video streaming demand increases with remote working, multimedia communication services...
[ { "created": "Thu, 18 Jan 2024 10:10:25 GMT", "version": "v1" } ]
2024-01-19
[ [ "Afzal", "Samira", "" ], [ "Mehran", "Narges", "" ], [ "Ourimi", "Zoha Azimi", "" ], [ "Tashtarian", "Farzad", "" ], [ "Amirpour", "Hadi", "" ], [ "Prodan", "Radu", "" ], [ "Timmerer", "Christian", "" ] ]
Climate change challenges require a notable decrease in worldwide greenhouse gas (GHG) emissions across technology sectors. Digital technologies, especially video streaming, accounting for most Internet traffic, make no exception. Video streaming demand increases with remote working, multimedia communication services (...
1707.09700
Yikang Li
Yikang Li, Wanli Ouyang, Bolei Zhou, Kun Wang, Xiaogang Wang
Scene Graph Generation from Objects, Phrases and Region Captions
accepted by ICCV 2017
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Object detection, scene graph generation and region captioning, which are three scene understanding tasks at different semantic levels, are tied together: scene graphs are generated on top of objects detected in an image with their pairwise relationship predicted, while region captioning gives a language description ...
[ { "created": "Mon, 31 Jul 2017 02:40:19 GMT", "version": "v1" }, { "created": "Fri, 15 Sep 2017 05:05:29 GMT", "version": "v2" } ]
2017-09-18
[ [ "Li", "Yikang", "" ], [ "Ouyang", "Wanli", "" ], [ "Zhou", "Bolei", "" ], [ "Wang", "Kun", "" ], [ "Wang", "Xiaogang", "" ] ]
Object detection, scene graph generation and region captioning, which are three scene understanding tasks at different semantic levels, are tied together: scene graphs are generated on top of objects detected in an image with their pairwise relationship predicted, while region captioning gives a language description of...
1506.00307
Emad Soroush
Emad Soroush, Magdalena Balazinska, Simon Krughoff, Andrew Connolly
Efficient Iterative Processing in the SciDB Parallel Array Engine
null
null
null
null
cs.DB
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Many scientific data-intensive applications perform iterative computations on array data. There exist multiple engines specialized for array processing. These engines efficiently support various types of operations, but none includes native support for iterative processing. In this paper, we develop a model for itera...
[ { "created": "Sun, 31 May 2015 23:37:58 GMT", "version": "v1" } ]
2015-06-02
[ [ "Soroush", "Emad", "" ], [ "Balazinska", "Magdalena", "" ], [ "Krughoff", "Simon", "" ], [ "Connolly", "Andrew", "" ] ]
Many scientific data-intensive applications perform iterative computations on array data. There exist multiple engines specialized for array processing. These engines efficiently support various types of operations, but none includes native support for iterative processing. In this paper, we develop a model for iterati...
1909.04189
Sandeep Soni
Sandeep Soni, Kristina Lerman, Jacob Eisenstein
Follow the Leader: Documents on the Leading Edge of Semantic Change Get More Citations
25 pages, 3 figures, To appear in the Journal of the Association of Information Sciences and Technology
null
null
null
cs.CL cs.SI physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Diachronic word embeddings -- vector representations of words over time -- offer remarkable insights into the evolution of language and provide a tool for quantifying sociocultural change from text documents. Prior work has used such embeddings to identify shifts in the meaning of individual words. However, simply kn...
[ { "created": "Mon, 9 Sep 2019 22:43:02 GMT", "version": "v1" }, { "created": "Thu, 1 Oct 2020 19:41:11 GMT", "version": "v2" } ]
2020-10-05
[ [ "Soni", "Sandeep", "" ], [ "Lerman", "Kristina", "" ], [ "Eisenstein", "Jacob", "" ] ]
Diachronic word embeddings -- vector representations of words over time -- offer remarkable insights into the evolution of language and provide a tool for quantifying sociocultural change from text documents. Prior work has used such embeddings to identify shifts in the meaning of individual words. However, simply know...
1608.02676
Krishna Kumar Singh
Krishna Kumar Singh and Yong Jae Lee
End-to-End Localization and Ranking for Relative Attributes
Appears in European Conference on Computer Vision (ECCV), 2016
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose an end-to-end deep convolutional network to simultaneously localize and rank relative visual attributes, given only weakly-supervised pairwise image comparisons. Unlike previous methods, our network jointly learns the attribute's features, localization, and ranker. The localization module of our network di...
[ { "created": "Tue, 9 Aug 2016 02:19:37 GMT", "version": "v1" } ]
2016-08-10
[ [ "Singh", "Krishna Kumar", "" ], [ "Lee", "Yong Jae", "" ] ]
We propose an end-to-end deep convolutional network to simultaneously localize and rank relative visual attributes, given only weakly-supervised pairwise image comparisons. Unlike previous methods, our network jointly learns the attribute's features, localization, and ranker. The localization module of our network disc...
2304.02146
Ignavier Ng
Ignavier Ng, Biwei Huang, Kun Zhang
Structure Learning with Continuous Optimization: A Sober Look and Beyond
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper investigates in which cases continuous optimization for directed acyclic graph (DAG) structure learning can and cannot perform well and why this happens, and suggests possible directions to make the search procedure more reliable. Reisach et al. (2021) suggested that the remarkable performance of several c...
[ { "created": "Tue, 4 Apr 2023 22:10:40 GMT", "version": "v1" } ]
2023-04-06
[ [ "Ng", "Ignavier", "" ], [ "Huang", "Biwei", "" ], [ "Zhang", "Kun", "" ] ]
This paper investigates in which cases continuous optimization for directed acyclic graph (DAG) structure learning can and cannot perform well and why this happens, and suggests possible directions to make the search procedure more reliable. Reisach et al. (2021) suggested that the remarkable performance of several con...
2203.03466
Greg Yang
Greg Yang, Edward J. Hu, Igor Babuschkin, Szymon Sidor, Xiaodong Liu, David Farhi, Nick Ryder, Jakub Pachocki, Weizhu Chen, Jianfeng Gao
Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer
NeurIPS 2021
null
null
null
cs.LG cond-mat.dis-nn cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Hyperparameter (HP) tuning in deep learning is an expensive process, prohibitively so for neural networks (NNs) with billions of parameters. We show that, in the recently discovered Maximal Update Parametrization (muP), many optimal HPs remain stable even as model size changes. This leads to a new HP tuning paradigm ...
[ { "created": "Mon, 7 Mar 2022 15:37:35 GMT", "version": "v1" }, { "created": "Mon, 28 Mar 2022 08:12:14 GMT", "version": "v2" } ]
2022-03-29
[ [ "Yang", "Greg", "" ], [ "Hu", "Edward J.", "" ], [ "Babuschkin", "Igor", "" ], [ "Sidor", "Szymon", "" ], [ "Liu", "Xiaodong", "" ], [ "Farhi", "David", "" ], [ "Ryder", "Nick", "" ], [ "Pachocki", ...
Hyperparameter (HP) tuning in deep learning is an expensive process, prohibitively so for neural networks (NNs) with billions of parameters. We show that, in the recently discovered Maximal Update Parametrization (muP), many optimal HPs remain stable even as model size changes. This leads to a new HP tuning paradigm we...
2304.00946
Xiang Wang
Xiang Wang, Shiwei Zhang, Zhiwu Qing, Changxin Gao, Yingya Zhang, Deli Zhao, Nong Sang
MoLo: Motion-augmented Long-short Contrastive Learning for Few-shot Action Recognition
Accepted by CVPR-2023. Code: https://github.com/alibaba-mmai-research/MoLo
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Current state-of-the-art approaches for few-shot action recognition achieve promising performance by conducting frame-level matching on learned visual features. However, they generally suffer from two limitations: i) the matching procedure between local frames tends to be inaccurate due to the lack of guidance to for...
[ { "created": "Mon, 3 Apr 2023 13:09:39 GMT", "version": "v1" } ]
2023-04-04
[ [ "Wang", "Xiang", "" ], [ "Zhang", "Shiwei", "" ], [ "Qing", "Zhiwu", "" ], [ "Gao", "Changxin", "" ], [ "Zhang", "Yingya", "" ], [ "Zhao", "Deli", "" ], [ "Sang", "Nong", "" ] ]
Current state-of-the-art approaches for few-shot action recognition achieve promising performance by conducting frame-level matching on learned visual features. However, they generally suffer from two limitations: i) the matching procedure between local frames tends to be inaccurate due to the lack of guidance to force...
2205.11638
Ahmed Abbas
Ahmed Abbas, Paul Swoboda
DOGE-Train: Discrete Optimization on GPU with End-to-end Training
AAAI 2024. Alert before printing: pg. 16-20 only contain per instance results, can possibly be skipped
null
null
null
cs.LG math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a fast, scalable, data-driven approach for solving relaxations of 0-1 integer linear programs. We use a combination of graph neural networks (GNN) and the Lagrange decomposition based algorithm FastDOG (Abbas and Swoboda 2022b). We make the latter differentiable for end-to-end training and use GNNs to pred...
[ { "created": "Mon, 23 May 2022 21:09:41 GMT", "version": "v1" }, { "created": "Thu, 28 Dec 2023 20:55:19 GMT", "version": "v2" } ]
2024-01-01
[ [ "Abbas", "Ahmed", "" ], [ "Swoboda", "Paul", "" ] ]
We present a fast, scalable, data-driven approach for solving relaxations of 0-1 integer linear programs. We use a combination of graph neural networks (GNN) and the Lagrange decomposition based algorithm FastDOG (Abbas and Swoboda 2022b). We make the latter differentiable for end-to-end training and use GNNs to predic...
cs/0010027
David Martinez
David Martinez and Eneko Agirre
One Sense per Collocation and Genre/Topic Variations
9 pages
Proceedings of the Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora 2000
null
null
cs.CL
null
This paper revisits the one sense per collocation hypothesis using fine-grained sense distinctions and two different corpora. We show that the hypothesis is weaker for fine-grained sense distinctions (70% vs. 99% reported earlier on 2-way ambiguities). We also show that one sense per collocation does hold across corp...
[ { "created": "Tue, 17 Oct 2000 10:26:33 GMT", "version": "v1" } ]
2007-05-23
[ [ "Martinez", "David", "" ], [ "Agirre", "Eneko", "" ] ]
This paper revisits the one sense per collocation hypothesis using fine-grained sense distinctions and two different corpora. We show that the hypothesis is weaker for fine-grained sense distinctions (70% vs. 99% reported earlier on 2-way ambiguities). We also show that one sense per collocation does hold across corpor...
2004.14969
Baoxu Shi
Baoxu Shi, Shan Li, Jaewon Yang, Mustafa Emre Kazdagli, Qi He
Learning to Ask Screening Questions for Job Postings
10 pages, to appear in SIGIR2020
null
null
null
cs.IR cs.AI cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
At LinkedIn, we want to create economic opportunity for everyone in the global workforce. A critical aspect of this goal is matching jobs with qualified applicants. To improve hiring efficiency and reduce the need to manually screening each applicant, we develop a new product where recruiters can ask screening questi...
[ { "created": "Thu, 30 Apr 2020 17:18:17 GMT", "version": "v1" } ]
2020-05-01
[ [ "Shi", "Baoxu", "" ], [ "Li", "Shan", "" ], [ "Yang", "Jaewon", "" ], [ "Kazdagli", "Mustafa Emre", "" ], [ "He", "Qi", "" ] ]
At LinkedIn, we want to create economic opportunity for everyone in the global workforce. A critical aspect of this goal is matching jobs with qualified applicants. To improve hiring efficiency and reduce the need to manually screening each applicant, we develop a new product where recruiters can ask screening question...
0711.3325
EDA Publishing Association
Hsiharng Yang, Chung-Tze Lee
Miniaturized Fluorescence Excitation Platform with Optical Fiber for Bio-Detection Chips
Submitted on behalf of TIMA Editions (http://irevues.inist.fr/tima-editions)
Dans Symposium on Design, Test, Integration and Packaging of MEMS/MOEMS - DTIP 2006, Stresa, Lago Maggiore : Italie (2006)
null
null
cs.OH
null
This paper presents a new research study on the platform fabrication of fluorescence bio-detection chip with an optical fiber transmission. Anisotropic wet etching on (100) silicon wafers to fabrication V-groove for optical fiber alignment and micro-mirror were included. Combing with anodic bonding technique to adher...
[ { "created": "Wed, 21 Nov 2007 10:09:35 GMT", "version": "v1" } ]
2007-11-29
[ [ "Yang", "Hsiharng", "" ], [ "Lee", "Chung-Tze", "" ] ]
This paper presents a new research study on the platform fabrication of fluorescence bio-detection chip with an optical fiber transmission. Anisotropic wet etching on (100) silicon wafers to fabrication V-groove for optical fiber alignment and micro-mirror were included. Combing with anodic bonding technique to adhere ...
1804.00175
Yi Li
Yi Li, Gu Wang, Xiangyang Ji, Yu Xiang, Dieter Fox
DeepIM: Deep Iterative Matching for 6D Pose Estimation
submitted to IJCV, update results on YCB_Video, add depth-based results
null
10.1007/s11263-019-01250-9
null
cs.CV cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Estimating the 6D pose of objects from images is an important problem in various applications such as robot manipulation and virtual reality. While direct regression of images to object poses has limited accuracy, matching rendered images of an object against the observed image can produce accurate results. In this w...
[ { "created": "Sat, 31 Mar 2018 14:02:25 GMT", "version": "v1" }, { "created": "Wed, 25 Apr 2018 16:28:50 GMT", "version": "v2" }, { "created": "Thu, 14 Mar 2019 13:25:49 GMT", "version": "v3" }, { "created": "Wed, 2 Oct 2019 00:54:47 GMT", "version": "v4" } ]
2019-10-03
[ [ "Li", "Yi", "" ], [ "Wang", "Gu", "" ], [ "Ji", "Xiangyang", "" ], [ "Xiang", "Yu", "" ], [ "Fox", "Dieter", "" ] ]
Estimating the 6D pose of objects from images is an important problem in various applications such as robot manipulation and virtual reality. While direct regression of images to object poses has limited accuracy, matching rendered images of an object against the observed image can produce accurate results. In this wor...
2006.02610
Xulei Yang
Balagopal Unnikrishnan, Pranshu Ranjan Singh, Xulei Yang, and Matthew Chin Heng Chua
Semi-supervised and Unsupervised Methods for Heart Sounds Classification in Restricted Data Environments
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Automated heart sounds classification is a much-required diagnostic tool in the view of increasing incidences of heart related diseases worldwide. In this study, we conduct a comprehensive study of heart sounds classification by using various supervised, semi-supervised and unsupervised approaches on the PhysioNet/Ci...
[ { "created": "Thu, 4 Jun 2020 02:07:35 GMT", "version": "v1" } ]
2020-06-05
[ [ "Unnikrishnan", "Balagopal", "" ], [ "Singh", "Pranshu Ranjan", "" ], [ "Yang", "Xulei", "" ], [ "Chua", "Matthew Chin Heng", "" ] ]
Automated heart sounds classification is a much-required diagnostic tool in the view of increasing incidences of heart related diseases worldwide. In this study, we conduct a comprehensive study of heart sounds classification by using various supervised, semi-supervised and unsupervised approaches on the PhysioNet/CinC...
1109.0660
Albert Fannjiang
Albert Fannjiang and Wenjing Liao
Mismatch and resolution in compressive imaging
Figure 5 revised
null
10.1117/12.892434
null
cs.IT math.IT math.NA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Highly coherent sensing matrices arise in discretization of continuum problems such as radar and medical imaging when the grid spacing is below the Rayleigh threshold as well as in using highly coherent, redundant dictionaries as sparsifying operators. Algorithms (BOMP, BLOOMP) based on techniques of band exclusion a...
[ { "created": "Sat, 3 Sep 2011 23:58:02 GMT", "version": "v1" }, { "created": "Fri, 16 Sep 2011 22:23:52 GMT", "version": "v2" } ]
2015-05-30
[ [ "Fannjiang", "Albert", "" ], [ "Liao", "Wenjing", "" ] ]
Highly coherent sensing matrices arise in discretization of continuum problems such as radar and medical imaging when the grid spacing is below the Rayleigh threshold as well as in using highly coherent, redundant dictionaries as sparsifying operators. Algorithms (BOMP, BLOOMP) based on techniques of band exclusion and...
1905.10833
Michal Dory
Michal Dory, Mohsen Ghaffari
Improved Distributed Approximations for Minimum-Weight Two-Edge-Connected Spanning Subgraph
null
null
null
null
cs.DS cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The minimum-weight $2$-edge-connected spanning subgraph (2-ECSS) problem is a natural generalization of the well-studied minimum-weight spanning tree (MST) problem, and it has received considerable attention in the area of network design. The latter problem asks for a minimum-weight subgraph with an edge connectivity...
[ { "created": "Sun, 26 May 2019 16:37:22 GMT", "version": "v1" }, { "created": "Mon, 3 Jun 2019 11:49:00 GMT", "version": "v2" } ]
2019-06-04
[ [ "Dory", "Michal", "" ], [ "Ghaffari", "Mohsen", "" ] ]
The minimum-weight $2$-edge-connected spanning subgraph (2-ECSS) problem is a natural generalization of the well-studied minimum-weight spanning tree (MST) problem, and it has received considerable attention in the area of network design. The latter problem asks for a minimum-weight subgraph with an edge connectivity o...
2308.06201
Mohammad Eslami
Mohammad Eslami, Tiago Perez and Samuel Pagliarini
SALSy: Security-Aware Layout Synthesis
null
null
null
null
cs.CR cs.AR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Integrated Circuits (ICs) are the target of diverse attacks during their lifetime. Fabrication-time attacks, such as the insertion of Hardware Trojans, can give an adversary access to privileged data and/or the means to corrupt the IC's internal computation. Post-fabrication attacks, where the end-user takes a malici...
[ { "created": "Fri, 11 Aug 2023 15:52:28 GMT", "version": "v1" }, { "created": "Mon, 21 Aug 2023 14:15:02 GMT", "version": "v2" } ]
2023-08-22
[ [ "Eslami", "Mohammad", "" ], [ "Perez", "Tiago", "" ], [ "Pagliarini", "Samuel", "" ] ]
Integrated Circuits (ICs) are the target of diverse attacks during their lifetime. Fabrication-time attacks, such as the insertion of Hardware Trojans, can give an adversary access to privileged data and/or the means to corrupt the IC's internal computation. Post-fabrication attacks, where the end-user takes a maliciou...
2309.06223
Yanzuo Chen
Yanzuo Chen (1), Zhibo Liu (1), Yuanyuan Yuan (1), Sihang Hu (2), Tianxiang Li (2), Shuai Wang (1) ((1) The Hong Kong University of Science and Technology, (2) Huawei Technologies)
Unveiling Single-Bit-Flip Attacks on DNN Executables
Fix typo
null
null
null
cs.CR cs.AI
http://creativecommons.org/licenses/by/4.0/
Recent research has shown that bit-flip attacks (BFAs) can manipulate deep neural networks (DNNs) via DRAM Rowhammer exploitations. Existing attacks are primarily launched over high-level DNN frameworks like PyTorch and flip bits in model weight files. Nevertheless, DNNs are frequently compiled into low-level executa...
[ { "created": "Tue, 12 Sep 2023 13:42:20 GMT", "version": "v1" }, { "created": "Sun, 8 Oct 2023 04:33:54 GMT", "version": "v2" } ]
2023-10-10
[ [ "Chen", "Yanzuo", "" ], [ "Liu", "Zhibo", "" ], [ "Yuan", "Yuanyuan", "" ], [ "Hu", "Sihang", "" ], [ "Li", "Tianxiang", "" ], [ "Wang", "Shuai", "" ] ]
Recent research has shown that bit-flip attacks (BFAs) can manipulate deep neural networks (DNNs) via DRAM Rowhammer exploitations. Existing attacks are primarily launched over high-level DNN frameworks like PyTorch and flip bits in model weight files. Nevertheless, DNNs are frequently compiled into low-level executabl...
2404.14610
Christian Vogler
Paige DeVries, Nina Tran, Keith Delk, Melanie Miga, Richard Taulbee, Pranav Pidathala, Abraham Glasser, Raja Kushlanagar and Christian Vogler
Sign Language-Based versus Touch-Based Input for Deaf Users with Interactive Personal Assistants in Simulated Kitchen Environments
To appear in Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, CHI EA 2024, May 11-16, 2024, Honolulu, HI, USA. ACM, New York, NY, USA, 9 pages. https://doi.org/10.1145/3613905.3651075
null
10.1145/3613905.3651075
null
cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this study, we assess the usability of interactive personal assistants (IPAs), such as Amazon Alexa, in a simulated kitchen smart home environment, with deaf and hard of hearing users. Participants engage in activities in a way that causes their hands to get dirty. With these dirty hands, they are tasked with two ...
[ { "created": "Mon, 22 Apr 2024 22:17:35 GMT", "version": "v1" } ]
2024-05-16
[ [ "DeVries", "Paige", "" ], [ "Tran", "Nina", "" ], [ "Delk", "Keith", "" ], [ "Miga", "Melanie", "" ], [ "Taulbee", "Richard", "" ], [ "Pidathala", "Pranav", "" ], [ "Glasser", "Abraham", "" ], [ "Ku...
In this study, we assess the usability of interactive personal assistants (IPAs), such as Amazon Alexa, in a simulated kitchen smart home environment, with deaf and hard of hearing users. Participants engage in activities in a way that causes their hands to get dirty. With these dirty hands, they are tasked with two di...
0811.0273
Vinay Joseph
Vinod Sharma, Utpal Mukherji and Vinay Joseph
Efficient Energy Management Policies for Networks with Energy Harvesting Sensor Nodes
Keywords: Optimal energy management policies, energy harvesting, sensor networks, MAC protocols
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study sensor networks with energy harvesting nodes. The generated energy at a node can be stored in a buffer. A sensor node periodically senses a random field and generates a packet. These packets are stored in a queue and transmitted using the energy available at that time at the node. For such networks we develo...
[ { "created": "Mon, 3 Nov 2008 12:05:01 GMT", "version": "v1" } ]
2008-11-04
[ [ "Sharma", "Vinod", "" ], [ "Mukherji", "Utpal", "" ], [ "Joseph", "Vinay", "" ] ]
We study sensor networks with energy harvesting nodes. The generated energy at a node can be stored in a buffer. A sensor node periodically senses a random field and generates a packet. These packets are stored in a queue and transmitted using the energy available at that time at the node. For such networks we develop ...
1801.08873
Alexander Thomasian
Alexander Thomasian
Mirrored and Hybrid Disk Arrays: Organization, Scheduling, Reliability, and Performance
null
null
null
null
cs.DC cs.OS cs.PF
http://creativecommons.org/licenses/by/4.0/
Basic mirroring (BM) classified as RAID level 1 replicates data on two disks, thus doubling disk access bandwidth for read requests. RAID1/0 is an array of BM pairs with balanced loads due to striping. When a disk fails the read load on its pair is doubled, which results in halving the maximum attainable bandwidth. W...
[ { "created": "Fri, 26 Jan 2018 15:59:51 GMT", "version": "v1" } ]
2018-01-29
[ [ "Thomasian", "Alexander", "" ] ]
Basic mirroring (BM) classified as RAID level 1 replicates data on two disks, thus doubling disk access bandwidth for read requests. RAID1/0 is an array of BM pairs with balanced loads due to striping. When a disk fails the read load on its pair is doubled, which results in halving the maximum attainable bandwidth. We ...
1304.5438
EPTCS
Thomas Brihaye (University of Mons), Quentin Menet (University of Mons)
Simple strategies for Banach-Mazur games and fairly correct systems
In Proceedings GandALF 2013, arXiv:1307.4162
EPTCS 119, 2013, pp. 21-34
10.4204/EPTCS.119.5
null
cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In 2006, Varacca and V\"olzer proved that on finite graphs, omega-regular large sets coincide with omega-regular sets of probability 1, by using the existence of positional strategies in the related Banach-Mazur games. Motivated by this result, we try to understand relations between sets of probability 1 and various ...
[ { "created": "Fri, 19 Apr 2013 14:53:04 GMT", "version": "v1" }, { "created": "Wed, 17 Jul 2013 04:12:09 GMT", "version": "v2" } ]
2013-07-18
[ [ "Brihaye", "Thomas", "", "University of Mons" ], [ "Menet", "Quentin", "", "University of\n Mons" ] ]
In 2006, Varacca and V\"olzer proved that on finite graphs, omega-regular large sets coincide with omega-regular sets of probability 1, by using the existence of positional strategies in the related Banach-Mazur games. Motivated by this result, we try to understand relations between sets of probability 1 and various no...
2207.05736
Kai-En Lin
Kai-En Lin, Lin Yen-Chen, Wei-Sheng Lai, Tsung-Yi Lin, Yi-Chang Shih, Ravi Ramamoorthi
Vision Transformer for NeRF-Based View Synthesis from a Single Input Image
WACV 2023 Project website: https://cseweb.ucsd.edu/~viscomp/projects/VisionNeRF/
null
null
null
cs.CV cs.GR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Although neural radiance fields (NeRF) have shown impressive advances for novel view synthesis, most methods typically require multiple input images of the same scene with accurate camera poses. In this work, we seek to substantially reduce the inputs to a single unposed image. Existing approaches condition on local ...
[ { "created": "Tue, 12 Jul 2022 17:52:04 GMT", "version": "v1" }, { "created": "Thu, 13 Oct 2022 20:09:59 GMT", "version": "v2" } ]
2022-10-17
[ [ "Lin", "Kai-En", "" ], [ "Yen-Chen", "Lin", "" ], [ "Lai", "Wei-Sheng", "" ], [ "Lin", "Tsung-Yi", "" ], [ "Shih", "Yi-Chang", "" ], [ "Ramamoorthi", "Ravi", "" ] ]
Although neural radiance fields (NeRF) have shown impressive advances for novel view synthesis, most methods typically require multiple input images of the same scene with accurate camera poses. In this work, we seek to substantially reduce the inputs to a single unposed image. Existing approaches condition on local im...
2110.13953
Mayank Agarwal
Mayank Agarwal, Mikhail Yurochkin, Yuekai Sun
On sensitivity of meta-learning to support data
Accepted at NeurIPS 2021
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Meta-learning algorithms are widely used for few-shot learning. For example, image recognition systems that readily adapt to unseen classes after seeing only a few labeled examples. Despite their success, we show that modern meta-learning algorithms are extremely sensitive to the data used for adaptation, i.e. suppor...
[ { "created": "Tue, 26 Oct 2021 18:36:37 GMT", "version": "v1" } ]
2021-10-28
[ [ "Agarwal", "Mayank", "" ], [ "Yurochkin", "Mikhail", "" ], [ "Sun", "Yuekai", "" ] ]
Meta-learning algorithms are widely used for few-shot learning. For example, image recognition systems that readily adapt to unseen classes after seeing only a few labeled examples. Despite their success, we show that modern meta-learning algorithms are extremely sensitive to the data used for adaptation, i.e. support ...
2102.10684
Ahmed Abdelali
Ahmed Abdelali, Sabit Hassan, Hamdy Mubarak, Kareem Darwish and Younes Samih
Pre-Training BERT on Arabic Tweets: Practical Considerations
6 pages, 5 figures
null
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by-nc-nd/4.0/
Pretraining Bidirectional Encoder Representations from Transformers (BERT) for downstream NLP tasks is a non-trival task. We pretrained 5 BERT models that differ in the size of their training sets, mixture of formal and informal Arabic, and linguistic preprocessing. All are intended to support Arabic dialects and soc...
[ { "created": "Sun, 21 Feb 2021 20:51:33 GMT", "version": "v1" } ]
2021-02-23
[ [ "Abdelali", "Ahmed", "" ], [ "Hassan", "Sabit", "" ], [ "Mubarak", "Hamdy", "" ], [ "Darwish", "Kareem", "" ], [ "Samih", "Younes", "" ] ]
Pretraining Bidirectional Encoder Representations from Transformers (BERT) for downstream NLP tasks is a non-trival task. We pretrained 5 BERT models that differ in the size of their training sets, mixture of formal and informal Arabic, and linguistic preprocessing. All are intended to support Arabic dialects and socia...
2112.07831
Varsha Lohani
Varsha Lohani, Anjali Sharma, Yatindra Nath Singh
Optimal Slot Size under Various Bandwidth Distributions in the Flexible-grid Optical Networks
null
null
null
null
cs.NI
http://creativecommons.org/licenses/by/4.0/
Flexible grid Optical Networks are efficient mechanism to provide flexibility in the optical spectrum utilization. For such networks, the slot width size as specified by the ITU-T G.694.1 is 12.5 GHz. However, one should question if it is the optimal grid size? In this paper, under different bandwidth distribution sc...
[ { "created": "Wed, 15 Dec 2021 01:59:35 GMT", "version": "v1" } ]
2021-12-16
[ [ "Lohani", "Varsha", "" ], [ "Sharma", "Anjali", "" ], [ "Singh", "Yatindra Nath", "" ] ]
Flexible grid Optical Networks are efficient mechanism to provide flexibility in the optical spectrum utilization. For such networks, the slot width size as specified by the ITU-T G.694.1 is 12.5 GHz. However, one should question if it is the optimal grid size? In this paper, under different bandwidth distribution scen...
2003.12869
Chao Yang Mr.
Chao Yang, Ser-Nam Lim
One-Shot Domain Adaptation For Face Generation
Accepted to CVPR 2020
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we propose a framework capable of generating face images that fall into the same distribution as that of a given one-shot example. We leverage a pre-trained StyleGAN model that already learned the generic face distribution. Given the one-shot target, we develop an iterative optimization scheme that rap...
[ { "created": "Sat, 28 Mar 2020 18:50:13 GMT", "version": "v1" } ]
2020-03-31
[ [ "Yang", "Chao", "" ], [ "Lim", "Ser-Nam", "" ] ]
In this paper, we propose a framework capable of generating face images that fall into the same distribution as that of a given one-shot example. We leverage a pre-trained StyleGAN model that already learned the generic face distribution. Given the one-shot target, we develop an iterative optimization scheme that rapid...
1211.6411
Mohammed El-Dosuky
Mohammed El-Dosuky, Ahmed EL-Bassiouny, Taher Hamza and Magdy Rashad
New Heuristics for Interfacing Human Motor System using Brain Waves
null
null
null
null
cs.HC cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
There are many new forms of interfacing human users to machines. We persevere here electric mechanical form of interaction between human and machine. The emergence of brain-computer interface allows mind-to-movement systems. The story of the Pied Piper inspired us to devise some new heuristics for interfacing human m...
[ { "created": "Sat, 24 Nov 2012 01:21:25 GMT", "version": "v1" } ]
2012-11-28
[ [ "El-Dosuky", "Mohammed", "" ], [ "EL-Bassiouny", "Ahmed", "" ], [ "Hamza", "Taher", "" ], [ "Rashad", "Magdy", "" ] ]
There are many new forms of interfacing human users to machines. We persevere here electric mechanical form of interaction between human and machine. The emergence of brain-computer interface allows mind-to-movement systems. The story of the Pied Piper inspired us to devise some new heuristics for interfacing human mot...
2201.11464
Christoph Matheja
Kevin Batz and Ira Fesefeldt and Marvin Jansen and Joost-Pieter Katoen and Florian Ke{\ss}ler and Christoph Matheja and Thomas Noll
Foundations for Entailment Checking in Quantitative Separation Logic (extended version)
Extended version of ESOP'22 paper
null
null
null
cs.LO cs.PL
http://creativecommons.org/licenses/by/4.0/
Quantitative separation logic (QSL) is an extension of separation logic (SL) for the verification of probabilistic pointer programs. In QSL, formulae evaluate to real numbers instead of truth values, e.g., the probability of memory-safe termination in a given symbolic heap. As with \SL, one of the key problems when r...
[ { "created": "Thu, 27 Jan 2022 12:07:06 GMT", "version": "v1" } ]
2022-01-28
[ [ "Batz", "Kevin", "" ], [ "Fesefeldt", "Ira", "" ], [ "Jansen", "Marvin", "" ], [ "Katoen", "Joost-Pieter", "" ], [ "Keßler", "Florian", "" ], [ "Matheja", "Christoph", "" ], [ "Noll", "Thomas", "" ] ]
Quantitative separation logic (QSL) is an extension of separation logic (SL) for the verification of probabilistic pointer programs. In QSL, formulae evaluate to real numbers instead of truth values, e.g., the probability of memory-safe termination in a given symbolic heap. As with \SL, one of the key problems when rea...
1612.03412
Yochai Blau
Yochai Blau and Tomer Michaeli
Non-Redundant Spectral Dimensionality Reduction
null
European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD), Part I, LNAI 10534, pp. 256-271, 2017
10.1007/978-3-319-71249-9_16
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Spectral dimensionality reduction algorithms are widely used in numerous domains, including for recognition, segmentation, tracking and visualization. However, despite their popularity, these algorithms suffer from a major limitation known as the "repeated Eigen-directions" phenomenon. That is, many of the embedding ...
[ { "created": "Sun, 11 Dec 2016 14:04:33 GMT", "version": "v1" }, { "created": "Thu, 20 Apr 2017 12:58:06 GMT", "version": "v2" } ]
2018-01-03
[ [ "Blau", "Yochai", "" ], [ "Michaeli", "Tomer", "" ] ]
Spectral dimensionality reduction algorithms are widely used in numerous domains, including for recognition, segmentation, tracking and visualization. However, despite their popularity, these algorithms suffer from a major limitation known as the "repeated Eigen-directions" phenomenon. That is, many of the embedding co...
2006.15313
Swarup Chattopadhyay
Swarup Chattopadhyay, Debasis Ganguly
Community Structure aware Embedding of Nodes in a Network
null
null
null
null
cs.SI physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Detecting communities or the modular structure of real-life networks (e.g. a social network or a product purchase network) is an important task because the way a network functions is often determined by its communities. Traditional approaches to community detection involve modularity-based algorithms, which generally...
[ { "created": "Sat, 27 Jun 2020 08:07:21 GMT", "version": "v1" } ]
2020-06-30
[ [ "Chattopadhyay", "Swarup", "" ], [ "Ganguly", "Debasis", "" ] ]
Detecting communities or the modular structure of real-life networks (e.g. a social network or a product purchase network) is an important task because the way a network functions is often determined by its communities. Traditional approaches to community detection involve modularity-based algorithms, which generally s...
2206.09485
U\u{g}ur \c{C}o\u{g}alan
U\u{g}ur \c{C}o\u{g}alan, Mojtaba Bemana, Hans-Peter Seidel, Karol Myszkowski
Video frame interpolation for high dynamic range sequences captured with dual-exposure sensors
13 pages, 10 figures
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Video frame interpolation (VFI) enables many important applications that might involve the temporal domain, such as slow motion playback, or the spatial domain, such as stop motion sequences. We are focusing on the former task, where one of the key challenges is handling high dynamic range (HDR) scenes in the presenc...
[ { "created": "Sun, 19 Jun 2022 20:29:34 GMT", "version": "v1" }, { "created": "Fri, 3 Feb 2023 10:09:22 GMT", "version": "v2" }, { "created": "Wed, 31 May 2023 13:58:01 GMT", "version": "v3" } ]
2023-06-01
[ [ "Çoğalan", "Uğur", "" ], [ "Bemana", "Mojtaba", "" ], [ "Seidel", "Hans-Peter", "" ], [ "Myszkowski", "Karol", "" ] ]
Video frame interpolation (VFI) enables many important applications that might involve the temporal domain, such as slow motion playback, or the spatial domain, such as stop motion sequences. We are focusing on the former task, where one of the key challenges is handling high dynamic range (HDR) scenes in the presence ...
1505.01448
Thomas Leibovici
Thomas Leibovici
Taking back control of HPC file systems with Robinhood Policy Engine
International Workshop on the Lustre Ecosystem: Challenges and Opportunities, March 2015, Annapolis MD
null
null
null
cs.DC cs.OS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Today, the largest Lustre file systems store billions of entries. On such systems, classic tools based on namespace scanning become unusable. Operations such as managing file lifetime, scheduling data copies, and generating overall filesystem statistics become painful as they require collecting, sorting and aggregati...
[ { "created": "Wed, 6 May 2015 18:14:56 GMT", "version": "v1" } ]
2015-05-07
[ [ "Leibovici", "Thomas", "" ] ]
Today, the largest Lustre file systems store billions of entries. On such systems, classic tools based on namespace scanning become unusable. Operations such as managing file lifetime, scheduling data copies, and generating overall filesystem statistics become painful as they require collecting, sorting and aggregating...
2004.01353
Mihai Sima
Ash Luft, Mihai Sima, Michael McGuire
Hardware Trojan with Frequency Modulation
null
null
null
null
cs.AR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The use of third-party IP cores in implementing applications in FPGAs has given rise to the threat of malicious alterations through the insertion of hardware Trojans. To address this threat, it is important to predict the way hardware Trojans are built and to identify their weaknesses. This paper describes a logic fa...
[ { "created": "Fri, 3 Apr 2020 03:17:14 GMT", "version": "v1" } ]
2020-04-06
[ [ "Luft", "Ash", "" ], [ "Sima", "Mihai", "" ], [ "McGuire", "Michael", "" ] ]
The use of third-party IP cores in implementing applications in FPGAs has given rise to the threat of malicious alterations through the insertion of hardware Trojans. To address this threat, it is important to predict the way hardware Trojans are built and to identify their weaknesses. This paper describes a logic fami...
1807.04709
Emma Pierson
Emma Pierson, Pang Wei Koh, Tatsunori Hashimoto, Daphne Koller, Jure Leskovec, Nicholas Eriksson, Percy Liang
Inferring Multidimensional Rates of Aging from Cross-Sectional Data
Accepted at AISTATS 2019
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Modeling how individuals evolve over time is a fundamental problem in the natural and social sciences. However, existing datasets are often cross-sectional with each individual observed only once, making it impossible to apply traditional time-series methods. Motivated by the study of human aging, we present an inter...
[ { "created": "Thu, 12 Jul 2018 16:27:40 GMT", "version": "v1" }, { "created": "Sun, 11 Nov 2018 21:38:56 GMT", "version": "v2" }, { "created": "Tue, 5 Mar 2019 18:22:09 GMT", "version": "v3" } ]
2019-03-06
[ [ "Pierson", "Emma", "" ], [ "Koh", "Pang Wei", "" ], [ "Hashimoto", "Tatsunori", "" ], [ "Koller", "Daphne", "" ], [ "Leskovec", "Jure", "" ], [ "Eriksson", "Nicholas", "" ], [ "Liang", "Percy", "" ] ]
Modeling how individuals evolve over time is a fundamental problem in the natural and social sciences. However, existing datasets are often cross-sectional with each individual observed only once, making it impossible to apply traditional time-series methods. Motivated by the study of human aging, we present an interpr...
1206.1105
Biao Xiang
Biao Xiang, Enhong Chen, Qi Liu, Hui Xiong
A Linear Circuit Model For Social Influence Analysis
arXiv admin note: substantial text overlap with arXiv:1205.6024
null
null
null
cs.SI physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Understanding the behaviors of information propagation is essential for the effective exploitation of social influence in social networks. However, few existing influence models are both tractable and efficient for describing the information propagation process and quantitatively measuring social influence. To this e...
[ { "created": "Wed, 6 Jun 2012 01:58:41 GMT", "version": "v1" }, { "created": "Mon, 10 Sep 2012 05:28:53 GMT", "version": "v2" } ]
2012-09-11
[ [ "Xiang", "Biao", "" ], [ "Chen", "Enhong", "" ], [ "Liu", "Qi", "" ], [ "Xiong", "Hui", "" ] ]
Understanding the behaviors of information propagation is essential for the effective exploitation of social influence in social networks. However, few existing influence models are both tractable and efficient for describing the information propagation process and quantitatively measuring social influence. To this end...
1708.07878
Rui Wang
Rui Wang, Martin Schw\"orer, Daniel Cremers
Stereo DSO: Large-Scale Direct Sparse Visual Odometry with Stereo Cameras
ICCV 2017
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose Stereo Direct Sparse Odometry (Stereo DSO) as a novel method for highly accurate real-time visual odometry estimation of large-scale environments from stereo cameras. It jointly optimizes for all the model parameters within the active window, including the intrinsic/extrinsic camera parameters of all keyfr...
[ { "created": "Fri, 25 Aug 2017 20:50:54 GMT", "version": "v1" } ]
2017-08-29
[ [ "Wang", "Rui", "" ], [ "Schwörer", "Martin", "" ], [ "Cremers", "Daniel", "" ] ]
We propose Stereo Direct Sparse Odometry (Stereo DSO) as a novel method for highly accurate real-time visual odometry estimation of large-scale environments from stereo cameras. It jointly optimizes for all the model parameters within the active window, including the intrinsic/extrinsic camera parameters of all keyfram...
1902.05176
Ashis Banerjee
Behnoosh Parsa, Ekta U. Samani, Rose Hendrix, Cameron Devine, Shashi M. Singh, Santosh Devasia, and Ashis G. Banerjee
Toward Ergonomic Risk Prediction via Segmentation of Indoor Object Manipulation Actions Using Spatiotemporal Convolutional Networks
null
null
10.1109/LRA.2019.2925305
null
cs.RO cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Automated real-time prediction of the ergonomic risks of manipulating objects is a key unsolved challenge in developing effective human-robot collaboration systems for logistics and manufacturing applications. We present a foundational paradigm to address this challenge by formulating the problem as one of action seg...
[ { "created": "Thu, 14 Feb 2019 00:53:07 GMT", "version": "v1" }, { "created": "Wed, 26 Jun 2019 04:39:37 GMT", "version": "v2" } ]
2019-06-27
[ [ "Parsa", "Behnoosh", "" ], [ "Samani", "Ekta U.", "" ], [ "Hendrix", "Rose", "" ], [ "Devine", "Cameron", "" ], [ "Singh", "Shashi M.", "" ], [ "Devasia", "Santosh", "" ], [ "Banerjee", "Ashis G.", "" ] ]
Automated real-time prediction of the ergonomic risks of manipulating objects is a key unsolved challenge in developing effective human-robot collaboration systems for logistics and manufacturing applications. We present a foundational paradigm to address this challenge by formulating the problem as one of action segme...
2311.11638
Chunming He
Chunming He, Chengyu Fang, Yulun Zhang, Tian Ye, Kai Li, Longxiang Tang, Zhenhua Guo, Xiu Li, Sina Farsiu
Reti-Diff: Illumination Degradation Image Restoration with Retinex-based Latent Diffusion Model
20 pages, 11 figures, 11 tables
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Illumination degradation image restoration (IDIR) techniques aim to improve the visibility of degraded images and mitigate the adverse effects of deteriorated illumination. Among these algorithms, diffusion model (DM)-based methods have shown promising performance but are often burdened by heavy computational demands...
[ { "created": "Mon, 20 Nov 2023 09:55:06 GMT", "version": "v1" }, { "created": "Sat, 9 Mar 2024 07:59:41 GMT", "version": "v2" } ]
2024-03-12
[ [ "He", "Chunming", "" ], [ "Fang", "Chengyu", "" ], [ "Zhang", "Yulun", "" ], [ "Ye", "Tian", "" ], [ "Li", "Kai", "" ], [ "Tang", "Longxiang", "" ], [ "Guo", "Zhenhua", "" ], [ "Li", "Xiu", ...
Illumination degradation image restoration (IDIR) techniques aim to improve the visibility of degraded images and mitigate the adverse effects of deteriorated illumination. Among these algorithms, diffusion model (DM)-based methods have shown promising performance but are often burdened by heavy computational demands a...
1206.3599
Siddhartha Banerjee
Siddhartha Banerjee, Aditya Gopalan, Abhik Kumar Das, Sanjay Shakkottai
Epidemic Spreading with External Agents
null
null
10.1109/TIT.2014.2316801
null
cs.SI cs.IT cs.NI math.IT physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study epidemic spreading processes in large networks, when the spread is assisted by a small number of external agents: infection sources with bounded spreading power, but whose movement is unrestricted vis-\`a-vis the underlying network topology. For networks which are `spatially constrained', we show that the sp...
[ { "created": "Fri, 15 Jun 2012 21:10:28 GMT", "version": "v1" }, { "created": "Sun, 13 Apr 2014 04:20:15 GMT", "version": "v2" } ]
2014-04-15
[ [ "Banerjee", "Siddhartha", "" ], [ "Gopalan", "Aditya", "" ], [ "Das", "Abhik Kumar", "" ], [ "Shakkottai", "Sanjay", "" ] ]
We study epidemic spreading processes in large networks, when the spread is assisted by a small number of external agents: infection sources with bounded spreading power, but whose movement is unrestricted vis-\`a-vis the underlying network topology. For networks which are `spatially constrained', we show that the spre...
2109.07436
Sriram Gopalakrishnan
Sriram Gopalakrishnan, Mudit Verma, Subbarao Kambhampati
Computing Policies That Account For The Effects Of Human Agent Uncertainty During Execution In Markov Decision Processes
7 page paper, 6 pages supplemental material
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
When humans are given a policy to execute, there can be policy execution errors and deviations in policy if there is uncertainty in identifying a state. This can happen due to the human agent's cognitive limitations and/or perceptual errors. So an algorithm that computes a policy for a human to execute ought to consi...
[ { "created": "Wed, 15 Sep 2021 17:10:46 GMT", "version": "v1" }, { "created": "Mon, 20 Sep 2021 21:24:20 GMT", "version": "v2" }, { "created": "Thu, 3 Mar 2022 22:00:30 GMT", "version": "v3" } ]
2022-03-07
[ [ "Gopalakrishnan", "Sriram", "" ], [ "Verma", "Mudit", "" ], [ "Kambhampati", "Subbarao", "" ] ]
When humans are given a policy to execute, there can be policy execution errors and deviations in policy if there is uncertainty in identifying a state. This can happen due to the human agent's cognitive limitations and/or perceptual errors. So an algorithm that computes a policy for a human to execute ought to conside...
1904.12099
Jiaqi Yang
Jiaqi Yang, Chen Zhao, Ke Xian, Angfan Zhu, Zhiguo Cao
Learning to Fuse Local Geometric Features for 3D Rigid Data Matching
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents a simple yet very effective data-driven approach to fuse both low-level and high-level local geometric features for 3D rigid data matching. It is a common practice to generate distinctive geometric descriptors by fusing low-level features from various viewpoints or subspaces, or enhance geometric ...
[ { "created": "Sat, 27 Apr 2019 03:23:21 GMT", "version": "v1" } ]
2019-04-30
[ [ "Yang", "Jiaqi", "" ], [ "Zhao", "Chen", "" ], [ "Xian", "Ke", "" ], [ "Zhu", "Angfan", "" ], [ "Cao", "Zhiguo", "" ] ]
This paper presents a simple yet very effective data-driven approach to fuse both low-level and high-level local geometric features for 3D rigid data matching. It is a common practice to generate distinctive geometric descriptors by fusing low-level features from various viewpoints or subspaces, or enhance geometric fe...
1803.04722
Xiao Song
Xiao Song, Xu Zhao, Tianwei Lin
Face Spoofing Detection by Fusing Binocular Depth and Spatial Pyramid Coding Micro-Texture Features
5 pages, 2 figures, accepted by 2017 IEEE International Conference on Image Processing (ICIP)
null
10.1109/ICIP.2017.8296250
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Robust features are of vital importance to face spoofing detection, because various situations make feature space extremely complicated to partition. Thus in this paper, two novel and robust features for anti-spoofing are proposed. The first one is a binocular camera based depth feature called Template Face Matched B...
[ { "created": "Tue, 13 Mar 2018 10:49:45 GMT", "version": "v1" } ]
2018-03-14
[ [ "Song", "Xiao", "" ], [ "Zhao", "Xu", "" ], [ "Lin", "Tianwei", "" ] ]
Robust features are of vital importance to face spoofing detection, because various situations make feature space extremely complicated to partition. Thus in this paper, two novel and robust features for anti-spoofing are proposed. The first one is a binocular camera based depth feature called Template Face Matched Bin...
2304.02712
Baidyanath Kundu
Baidyanath Kundu (1 and 2), Vassil Vassilev (1 and 2), Wim Lavrijsen (3) ((1) European Council for Nuclear Research, (2) Princeton University (US), (3) LBNL (US))
Efficient and Accurate Automatic Python Bindings with cppyy & Cling
7 pages, 3 figures, 1 table; submitted to ACAT 2022 proceedings
null
null
null
cs.PL
http://creativecommons.org/licenses/by/4.0/
The simplicity of Python and the power of C++ force stark choices on a scientific software stack. There have been multiple developments to mitigate language boundaries by implementing language bindings, but the impedance mismatch between the static nature of C++ and the dynamic one of Python hinders their implementat...
[ { "created": "Wed, 5 Apr 2023 19:12:05 GMT", "version": "v1" } ]
2023-04-07
[ [ "Kundu", "Baidyanath", "", "1 and 2" ], [ "Vassilev", "Vassil", "", "1 and 2" ], [ "Lavrijsen", "Wim", "" ] ]
The simplicity of Python and the power of C++ force stark choices on a scientific software stack. There have been multiple developments to mitigate language boundaries by implementing language bindings, but the impedance mismatch between the static nature of C++ and the dynamic one of Python hinders their implementatio...
1504.00854
David Powers
David M. W. Powers
Evaluation Evaluation a Monte Carlo study
5 pages, 14 Equations, 2 Figures, 1 Table, as submitted to European Conference on Artificial Intelligence (shorter version published with 2 pages, 4 Equations, 0 Figures, 1 Table)
ECAI 2008, pp.843-844
null
null
cs.AI cs.CL stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Over the last decade there has been increasing concern about the biases embodied in traditional evaluation methods for Natural Language Processing/Learning, particularly methods borrowed from Information Retrieval. Without knowledge of the Bias and Prevalence of the contingency being tested, or equivalently the expec...
[ { "created": "Fri, 3 Apr 2015 14:46:29 GMT", "version": "v1" } ]
2015-04-06
[ [ "Powers", "David M. W.", "" ] ]
Over the last decade there has been increasing concern about the biases embodied in traditional evaluation methods for Natural Language Processing/Learning, particularly methods borrowed from Information Retrieval. Without knowledge of the Bias and Prevalence of the contingency being tested, or equivalently the expecta...
1405.7895
Kemiha Mina melle
Mina Kemiha
Empirical mode decomposition and normalshrink tresholding for speech denoising
8 pages, 6 figures
IJIT Journal 3( 2), 2014, pp 27-35
null
null
cs.IT cs.SY math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper a signal denoising scheme based on Empirical mode decomposition (EMD) is presented. The denoising method is a fully data driven approach. Noisy signal is decomposed adaptively into intrinsic oscillatory components called Intrinsic mode functions (IMFs) using a decomposition algorithm called sifting proc...
[ { "created": "Thu, 8 May 2014 13:12:31 GMT", "version": "v1" } ]
2014-06-02
[ [ "Kemiha", "Mina", "" ] ]
In this paper a signal denoising scheme based on Empirical mode decomposition (EMD) is presented. The denoising method is a fully data driven approach. Noisy signal is decomposed adaptively into intrinsic oscillatory components called Intrinsic mode functions (IMFs) using a decomposition algorithm called sifting proces...
2002.03182
Zafaryab Rasool
Zafaryab Rasool, Rui Zhou, Lu Chen, Chengfei Liu, Jiajie Xu
Index-based Solutions for Efficient Density Peak Clustering
null
null
null
null
cs.DB cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Density Peak Clustering (DPC), a popular density-based clustering approach, has received considerable attention from the research community primarily due to its simplicity and fewer-parameter requirement. However, the resultant clusters obtained using DPC are influenced by the sensitive parameter $d_c$, which depends...
[ { "created": "Sat, 8 Feb 2020 15:22:37 GMT", "version": "v1" }, { "created": "Thu, 23 Jul 2020 02:08:44 GMT", "version": "v2" } ]
2020-07-24
[ [ "Rasool", "Zafaryab", "" ], [ "Zhou", "Rui", "" ], [ "Chen", "Lu", "" ], [ "Liu", "Chengfei", "" ], [ "Xu", "Jiajie", "" ] ]
Density Peak Clustering (DPC), a popular density-based clustering approach, has received considerable attention from the research community primarily due to its simplicity and fewer-parameter requirement. However, the resultant clusters obtained using DPC are influenced by the sensitive parameter $d_c$, which depends o...
1703.03315
Stephane Devismes
St\'ephane Devismes, David Ilcinkas (LaBRI), Colette Johnen (LaBRI)
Self-Stabilizing Disconnected Components Detection and Rooted Shortest-Path Tree Maintenance in Polynomial Steps
null
Discrete Mathematics and Theoretical Computer Science, DMTCS, 2017, ISS, pp.14 - 14
null
null
cs.DC cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We deal with the problem of maintaining a shortest-path tree rooted at some process r in a network that may be disconnected after topological changes. The goal is then to maintain a shortest-path tree rooted at r in its connected component, V\_r, and make all processes of other components detecting that r is not part...
[ { "created": "Thu, 9 Mar 2017 16:04:37 GMT", "version": "v1" }, { "created": "Mon, 21 Aug 2017 13:17:15 GMT", "version": "v2" }, { "created": "Thu, 30 Nov 2017 13:31:28 GMT", "version": "v3" } ]
2017-12-01
[ [ "Devismes", "Stéphane", "", "LaBRI" ], [ "Ilcinkas", "David", "", "LaBRI" ], [ "Johnen", "Colette", "", "LaBRI" ] ]
We deal with the problem of maintaining a shortest-path tree rooted at some process r in a network that may be disconnected after topological changes. The goal is then to maintain a shortest-path tree rooted at r in its connected component, V\_r, and make all processes of other components detecting that r is not part o...
0811.0419
Xiaochuan Zhao
Xiaochuan Zhao (1), Tao Peng (1), Ming Yang (1) and Wenbo Wang (1) ((1) Beijing University of Posts and Telecommunications, Beijing, China)
Doppler Spread Estimation by Subspace Tracking for OFDM Systems
5 pages, 3 figures, To appear in IEEE GLOBECOM'08
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper proposes a novel maximum Doppler spread estimation algorithm for OFDM systems with the comb-type pilot pattern. By tracking the drifting delay subspace of the multipath channel, the time correlation function is measured at a high accuracy, which accordingly improves the estimation accuracy of the maximum D...
[ { "created": "Tue, 4 Nov 2008 03:30:20 GMT", "version": "v1" } ]
2008-11-05
[ [ "Zhao", "Xiaochuan", "", "Beijing University of Posts and Telecommunications, Beijing, China" ], [ "Peng", "Tao", "", "Beijing University of Posts and Telecommunications, Beijing, China" ], [ "Yang", "Ming", "", "Beijing University of Posts and Telecommunica...
This paper proposes a novel maximum Doppler spread estimation algorithm for OFDM systems with the comb-type pilot pattern. By tracking the drifting delay subspace of the multipath channel, the time correlation function is measured at a high accuracy, which accordingly improves the estimation accuracy of the maximum Dop...
1003.5510
Green Daily
Claude Castelluccia and Emiliano De Cristofaro and Aurelien Francillon and Mohamed-Ali Kaafar
EphPub: Toward Robust Ephemeral Publishing
Proceedings of IEEE ICNP 2011
null
null
null
cs.CR cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The increasing amount of personal and sensitive information disseminated over the Internet prompts commensurately growing privacy concerns. Digital data often lingers indefinitely and users lose its control. This motivates the desire to restrict content availability to an expiration time set by the data owner. This p...
[ { "created": "Mon, 29 Mar 2010 12:00:08 GMT", "version": "v1" }, { "created": "Tue, 5 Oct 2010 12:21:14 GMT", "version": "v2" }, { "created": "Tue, 18 Oct 2011 16:44:24 GMT", "version": "v3" } ]
2015-03-13
[ [ "Castelluccia", "Claude", "" ], [ "De Cristofaro", "Emiliano", "" ], [ "Francillon", "Aurelien", "" ], [ "Kaafar", "Mohamed-Ali", "" ] ]
The increasing amount of personal and sensitive information disseminated over the Internet prompts commensurately growing privacy concerns. Digital data often lingers indefinitely and users lose its control. This motivates the desire to restrict content availability to an expiration time set by the data owner. This pap...
2012.13523
Xiaoming Chen
Xiaodan Shao, Xiaoming Chen, Yiyang Qiang, Caijun Zhong, Zhaoyang Zhang
Feature-Aided Adaptive-Tuning Deep Learning for Massive Device Detection
To appear in IEEE Journal on Selected Areas in Communications "Machine Learning in Communications and Networks"
null
null
null
cs.IT math.IT
http://creativecommons.org/licenses/by/4.0/
With the increasing development of Internet of Things (IoT), the upcoming sixth-generation (6G) wireless network is required to support grant-free random access of a massive number of sporadic traffic devices. In particular, at the beginning of each time slot, the base station (BS) performs joint activity detection a...
[ { "created": "Fri, 25 Dec 2020 06:15:12 GMT", "version": "v1" } ]
2020-12-29
[ [ "Shao", "Xiaodan", "" ], [ "Chen", "Xiaoming", "" ], [ "Qiang", "Yiyang", "" ], [ "Zhong", "Caijun", "" ], [ "Zhang", "Zhaoyang", "" ] ]
With the increasing development of Internet of Things (IoT), the upcoming sixth-generation (6G) wireless network is required to support grant-free random access of a massive number of sporadic traffic devices. In particular, at the beginning of each time slot, the base station (BS) performs joint activity detection and...
1906.04914
Suraj Tripathi
Abhay Kumar, Nishant Jain, Suraj Tripathi, Chirag Singh
From Fully Supervised to Zero Shot Settings for Twitter Hashtag Recommendation
Accepted in CICLing 2019
null
null
null
cs.IR cs.CL cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose a comprehensive end-to-end pipeline for Twitter hashtags recommendation system including data collection, supervised training setting and zero shot training setting. In the supervised training setting, we have proposed and compared the performance of various deep learning architectures, namely Convolutiona...
[ { "created": "Tue, 11 Jun 2019 17:38:28 GMT", "version": "v1" } ]
2019-06-13
[ [ "Kumar", "Abhay", "" ], [ "Jain", "Nishant", "" ], [ "Tripathi", "Suraj", "" ], [ "Singh", "Chirag", "" ] ]
We propose a comprehensive end-to-end pipeline for Twitter hashtags recommendation system including data collection, supervised training setting and zero shot training setting. In the supervised training setting, we have proposed and compared the performance of various deep learning architectures, namely Convolutional ...
1207.1550
Yuanxin Wu
Yuanxin Wu and Xianfei Pan
Velocity/Position Integration Formula (I): Application to In-flight Coarse Alignment
IEEE Trans. on Aerospace and Electronic Systems, in press
IEEE Transactions on Aerospace and Electronic Systems, vol. 49, no. 2, pp. 1006-1023, 2013
10.1109/TAES.2013.6494395
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The in-flight alignment is a critical stage for airborne INS/GPS applications. The alignment task is usually carried out by the Kalman filtering technique that necessitates a good initial attitude to obtain satisfying performance. Due to the airborne dynamics, the in-flight alignment is much difficult than alignment ...
[ { "created": "Fri, 6 Jul 2012 08:04:25 GMT", "version": "v1" } ]
2013-04-10
[ [ "Wu", "Yuanxin", "" ], [ "Pan", "Xianfei", "" ] ]
The in-flight alignment is a critical stage for airborne INS/GPS applications. The alignment task is usually carried out by the Kalman filtering technique that necessitates a good initial attitude to obtain satisfying performance. Due to the airborne dynamics, the in-flight alignment is much difficult than alignment on...
1707.03217
Gregor Wiedemann
Gregor Wiedemann, Andreas Niekler
Document Retrieval for Large Scale Content Analysis using Contextualized Dictionaries
https://hal.archives-ouvertes.fr/hal-01005879; Proceedings of Terminology and Knowledge Engineering 2014 (TKE'14), Berlin
null
null
null
cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents a procedure to retrieve subsets of relevant documents from large text collections for Content Analysis, e.g. in social sciences. Document retrieval for this purpose needs to take account of the fact that analysts often cannot describe their research objective with a small set of key terms, especia...
[ { "created": "Tue, 11 Jul 2017 11:00:44 GMT", "version": "v1" } ]
2017-07-12
[ [ "Wiedemann", "Gregor", "" ], [ "Niekler", "Andreas", "" ] ]
This paper presents a procedure to retrieve subsets of relevant documents from large text collections for Content Analysis, e.g. in social sciences. Document retrieval for this purpose needs to take account of the fact that analysts often cannot describe their research objective with a small set of key terms, especiall...
2102.05749
Ond\v{r}ej C\'ifka
Ond\v{r}ej C\'ifka, Alexey Ozerov, Umut \c{S}im\c{s}ekli, Ga\"el Richard
Self-Supervised VQ-VAE for One-Shot Music Style Transfer
ICASSP 2021. Website: https://adasp.telecom-paris.fr/s/ss-vq-vae
ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (2021) 96-100
10.1109/ICASSP39728.2021.9414235
null
cs.SD cs.LG eess.AS stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Neural style transfer, allowing to apply the artistic style of one image to another, has become one of the most widely showcased computer vision applications shortly after its introduction. In contrast, related tasks in the music audio domain remained, until recently, largely untackled. While several style conversion...
[ { "created": "Wed, 10 Feb 2021 21:42:49 GMT", "version": "v1" }, { "created": "Thu, 10 Jun 2021 15:15:22 GMT", "version": "v2" } ]
2021-06-11
[ [ "Cífka", "Ondřej", "" ], [ "Ozerov", "Alexey", "" ], [ "Şimşekli", "Umut", "" ], [ "Richard", "Gaël", "" ] ]
Neural style transfer, allowing to apply the artistic style of one image to another, has become one of the most widely showcased computer vision applications shortly after its introduction. In contrast, related tasks in the music audio domain remained, until recently, largely untackled. While several style conversion m...
2402.05764
Basile Simon
Matt Shearer, Basile Simon, Cl\'ement Geiger
Datastringer: easy dataset monitoring for journalists
null
null
null
null
cs.CY
http://creativecommons.org/licenses/by-nc-sa/4.0/
We created a software enabling journalists to define a set of criteria they would like to see applied regularly to a constantly-updated dataset, sending them an alert when these criteria are met, thus signaling them that there may be a story to write. The main challenges were to keep the product scalable and powerful...
[ { "created": "Thu, 8 Feb 2024 15:49:58 GMT", "version": "v1" } ]
2024-02-09
[ [ "Shearer", "Matt", "" ], [ "Simon", "Basile", "" ], [ "Geiger", "Clément", "" ] ]
We created a software enabling journalists to define a set of criteria they would like to see applied regularly to a constantly-updated dataset, sending them an alert when these criteria are met, thus signaling them that there may be a story to write. The main challenges were to keep the product scalable and powerful, ...
1504.02264
Wim Vanderbauwhede
Wim Vanderbauwhede
Model Coupling between the Weather Research and Forecasting Model and the DPRI Large Eddy Simulator for Urban Flows on GPU-accelerated Multicore Systems
This work was conducted during a research visit at the Disaster Prevention Research Institute of Kyoto University, supported by an EPSRC Overseas Travel Grant, EP/L026201/1
null
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this report we present a novel approach to model coupling for shared-memory multicore systems hosting OpenCL-compliant accelerators, which we call The Glasgow Model Coupling Framework (GMCF). We discuss the implementation of a prototype of GMCF and its application to coupling the Weather Research and Forecasting M...
[ { "created": "Thu, 9 Apr 2015 11:22:46 GMT", "version": "v1" } ]
2015-04-10
[ [ "Vanderbauwhede", "Wim", "" ] ]
In this report we present a novel approach to model coupling for shared-memory multicore systems hosting OpenCL-compliant accelerators, which we call The Glasgow Model Coupling Framework (GMCF). We discuss the implementation of a prototype of GMCF and its application to coupling the Weather Research and Forecasting Mod...
1408.6290
Ichiroh Kanaya Dr.
Ichiroh Kanaya, Mayuko Kanazawa, Masataka Imura
Function + Action = Interaction
null
null
null
null
cs.HC
http://creativecommons.org/licenses/by-nc-sa/3.0/
This article presents the mathematical background of general interactive systems. The first principle of designing a large system is to _divide and conquer_, which implies that we could possibly reduce human error if we divided a large system in smaller subsystems. Interactive systems are, however, often composed of ...
[ { "created": "Wed, 27 Aug 2014 01:23:44 GMT", "version": "v1" } ]
2014-08-28
[ [ "Kanaya", "Ichiroh", "" ], [ "Kanazawa", "Mayuko", "" ], [ "Imura", "Masataka", "" ] ]
This article presents the mathematical background of general interactive systems. The first principle of designing a large system is to _divide and conquer_, which implies that we could possibly reduce human error if we divided a large system in smaller subsystems. Interactive systems are, however, often composed of ma...
2403.01852
Zhengyao Lv
Zhengyao Lv and Yuxiang Wei and Wangmeng Zuo and Kwan-Yee K. Wong
PLACE: Adaptive Layout-Semantic Fusion for Semantic Image Synthesis
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent advancements in large-scale pre-trained text-to-image models have led to remarkable progress in semantic image synthesis. Nevertheless, synthesizing high-quality images with consistent semantics and layout remains a challenge. In this paper, we propose the adaPtive LAyout-semantiC fusion modulE (PLACE) that ha...
[ { "created": "Mon, 4 Mar 2024 09:03:16 GMT", "version": "v1" } ]
2024-03-05
[ [ "Lv", "Zhengyao", "" ], [ "Wei", "Yuxiang", "" ], [ "Zuo", "Wangmeng", "" ], [ "Wong", "Kwan-Yee K.", "" ] ]
Recent advancements in large-scale pre-trained text-to-image models have led to remarkable progress in semantic image synthesis. Nevertheless, synthesizing high-quality images with consistent semantics and layout remains a challenge. In this paper, we propose the adaPtive LAyout-semantiC fusion modulE (PLACE) that harn...
1608.04999
James Cheney
Weili Fu, Roly Perera, Paul Anderson, and James Cheney
$\mu$Puppet: A Declarative Subset of the Puppet Configuration Language
Full version of ECOOP 2017 conference paper
null
10.4230/LIPIcs.ECOOP.2017.12
null
cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Puppet is a popular declarative framework for specifying and managing complex system configurations. The Puppet framework includes a domain-specific language with several advanced features inspired by object-oriented programming, including user-defined resource types, 'classes' with a form of inheritance, and depende...
[ { "created": "Wed, 17 Aug 2016 15:26:48 GMT", "version": "v1" }, { "created": "Sun, 21 Aug 2016 20:17:32 GMT", "version": "v2" }, { "created": "Thu, 26 Jan 2017 18:06:06 GMT", "version": "v3" }, { "created": "Fri, 26 May 2017 10:13:55 GMT", "version": "v4" } ]
2017-09-12
[ [ "Fu", "Weili", "" ], [ "Perera", "Roly", "" ], [ "Anderson", "Paul", "" ], [ "Cheney", "James", "" ] ]
Puppet is a popular declarative framework for specifying and managing complex system configurations. The Puppet framework includes a domain-specific language with several advanced features inspired by object-oriented programming, including user-defined resource types, 'classes' with a form of inheritance, and dependenc...
cs/0406047
Alexei Stadnik
G.A. Ososkov, S.G. Dmitrievskiy, A.V. Stadnik
Self-organizing neural networks in classification and image recognition
null
null
null
null
cs.CV cs.AI
null
Self-organizing neural networks are used for brick finding in OPERA experiment. Self-organizing neural networks and wavelet analysis used for recognition and extraction of car numbers from images.
[ { "created": "Thu, 24 Jun 2004 13:14:58 GMT", "version": "v1" } ]
2007-05-23
[ [ "Ososkov", "G. A.", "" ], [ "Dmitrievskiy", "S. G.", "" ], [ "Stadnik", "A. V.", "" ] ]
Self-organizing neural networks are used for brick finding in OPERA experiment. Self-organizing neural networks and wavelet analysis used for recognition and extraction of car numbers from images.
1310.0068
Rosemary Renaut
Saeed Vatankhah, Vahid E Ardestani and Rosemary A Renaut
Automatic estimation of the regularization parameter in 2-D focusing gravity inversion: an application to the Safo manganese mine in northwest of Iran
null
J. Geophys. Eng. 11 (2014) 045001
10.1088/1742-2132/11/4/045001
https://academic.oup.com/jge/article/11/4/045001/5113347
cs.CE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We investigate the use of Tikhonov regularization with the minimum support stabilizer for underdetermined 2-D inversion of gravity data. This stabilizer produces models with non-smooth properties which is useful for identifying geologic structures with sharp boundaries. A very important aspect of using Tikhonov regul...
[ { "created": "Mon, 30 Sep 2013 21:43:25 GMT", "version": "v1" }, { "created": "Fri, 10 Jan 2014 00:49:06 GMT", "version": "v2" } ]
2022-08-16
[ [ "Vatankhah", "Saeed", "" ], [ "Ardestani", "Vahid E", "" ], [ "Renaut", "Rosemary A", "" ] ]
We investigate the use of Tikhonov regularization with the minimum support stabilizer for underdetermined 2-D inversion of gravity data. This stabilizer produces models with non-smooth properties which is useful for identifying geologic structures with sharp boundaries. A very important aspect of using Tikhonov regular...
2404.04270
Yassaman Ebrahimzadeh Maboud
Yassaman Ebrahimzadeh Maboud, Muhammad Adnan, Divya Mahajan, Prashant J. Nair
Accelerating Recommender Model Training by Dynamically Skipping Stale Embeddings
null
null
null
null
cs.IR cs.LG
http://creativecommons.org/licenses/by/4.0/
Training recommendation models pose significant challenges regarding resource utilization and performance. Prior research has proposed an approach that categorizes embeddings into popular and non-popular classes to reduce the training time for recommendation models. We observe that, even among the popular embeddings,...
[ { "created": "Fri, 22 Mar 2024 00:29:06 GMT", "version": "v1" } ]
2024-04-09
[ [ "Maboud", "Yassaman Ebrahimzadeh", "" ], [ "Adnan", "Muhammad", "" ], [ "Mahajan", "Divya", "" ], [ "Nair", "Prashant J.", "" ] ]
Training recommendation models pose significant challenges regarding resource utilization and performance. Prior research has proposed an approach that categorizes embeddings into popular and non-popular classes to reduce the training time for recommendation models. We observe that, even among the popular embeddings, c...
2312.12253
Demircan Tas
Demircan Tas, Rohit Priyadarshi Sanatani
Geo-located Aspect Based Sentiment Analysis (ABSA) for Crowdsourced Evaluation of Urban Environments
Created for 6.8610, Quantitative Methods for Natural Language Processing at MIT Fall 2022. 5 pages, 4 figures
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Sentiment analysis methods are rapidly being adopted by the field of Urban Design and Planning, for the crowdsourced evaluation of urban environments. However, most models used within this domain are able to identify positive or negative sentiment associated with a textual appraisal as a whole, without inferring info...
[ { "created": "Tue, 19 Dec 2023 15:37:27 GMT", "version": "v1" } ]
2023-12-20
[ [ "Tas", "Demircan", "" ], [ "Sanatani", "Rohit Priyadarshi", "" ] ]
Sentiment analysis methods are rapidly being adopted by the field of Urban Design and Planning, for the crowdsourced evaluation of urban environments. However, most models used within this domain are able to identify positive or negative sentiment associated with a textual appraisal as a whole, without inferring inform...
2202.07178
Yuanxiong Guo
Rui Hu, Yanmin Gong and Yuanxiong Guo
Federated Learning with Sparsified Model Perturbation: Improving Accuracy under Client-Level Differential Privacy
null
null
null
null
cs.LG cs.CR
http://creativecommons.org/licenses/by/4.0/
Federated learning (FL) that enables edge devices to collaboratively learn a shared model while keeping their training data locally has received great attention recently and can protect privacy in comparison with the traditional centralized learning paradigm. However, sensitive information about the training data can...
[ { "created": "Tue, 15 Feb 2022 04:05:42 GMT", "version": "v1" }, { "created": "Tue, 15 Nov 2022 20:15:26 GMT", "version": "v2" } ]
2022-11-17
[ [ "Hu", "Rui", "" ], [ "Gong", "Yanmin", "" ], [ "Guo", "Yuanxiong", "" ] ]
Federated learning (FL) that enables edge devices to collaboratively learn a shared model while keeping their training data locally has received great attention recently and can protect privacy in comparison with the traditional centralized learning paradigm. However, sensitive information about the training data can s...
2407.20731
Yi Ju
Yi Ju, Mingshuai Li, Adalberto Perez, Laura Bellentani, Niclas Jansson, Stefano Markidis, Philipp Schlatter, Erwin Laure
In-Situ Techniques on GPU-Accelerated Data-Intensive Applications
null
null
10.1109/e-science58273.2023.10254865
null
cs.PF cs.CE
http://creativecommons.org/licenses/by-nc-nd/4.0/
The computational power of High-Performance Computing (HPC) systems is constantly increasing, however, their input/output (IO) performance grows relatively slowly, and their storage capacity is also limited. This unbalance presents significant challenges for applications such as Molecular Dynamics (MD) and Computatio...
[ { "created": "Tue, 30 Jul 2024 11:03:00 GMT", "version": "v1" } ]
2024-07-31
[ [ "Ju", "Yi", "" ], [ "Li", "Mingshuai", "" ], [ "Perez", "Adalberto", "" ], [ "Bellentani", "Laura", "" ], [ "Jansson", "Niclas", "" ], [ "Markidis", "Stefano", "" ], [ "Schlatter", "Philipp", "" ], [ ...
The computational power of High-Performance Computing (HPC) systems is constantly increasing, however, their input/output (IO) performance grows relatively slowly, and their storage capacity is also limited. This unbalance presents significant challenges for applications such as Molecular Dynamics (MD) and Computationa...
2006.09264
Rob Geada
Rob Geada, Dennis Prangle, Andrew Stephen McGough
Bonsai-Net: One-Shot Neural Architecture Search via Differentiable Pruners
Accepted to CVPR-NAS 2020. https://github.com/RobGeada/bonsai-net-lite
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
One-shot Neural Architecture Search (NAS) aims to minimize the computational expense of discovering state-of-the-art models. However, in the past year attention has been drawn to the comparable performance of naive random search across the same search spaces used by leading NAS algorithms. To address this, we explore...
[ { "created": "Fri, 12 Jun 2020 14:44:00 GMT", "version": "v1" }, { "created": "Sun, 9 May 2021 18:03:44 GMT", "version": "v2" }, { "created": "Fri, 4 Jun 2021 15:40:29 GMT", "version": "v3" } ]
2021-06-07
[ [ "Geada", "Rob", "" ], [ "Prangle", "Dennis", "" ], [ "McGough", "Andrew Stephen", "" ] ]
One-shot Neural Architecture Search (NAS) aims to minimize the computational expense of discovering state-of-the-art models. However, in the past year attention has been drawn to the comparable performance of naive random search across the same search spaces used by leading NAS algorithms. To address this, we explore t...
1908.10159
Philip Bille
Philip Bille and Inge Li G{\o}rtz and Frederik Rye Skjoldjensen
Partial Sums on the Ultra-Wide Word RAM
Extended abstract appeared at TAMC 2020
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider the classic partial sums problem on the ultra-wide word RAM model of computation. This model extends the classic $w$-bit word RAM model with special ultrawords of length $w^2$ bits that support standard arithmetic and boolean operation and scattered memory access operations that can access $w$ (non-contig...
[ { "created": "Tue, 27 Aug 2019 12:33:32 GMT", "version": "v1" }, { "created": "Wed, 30 Sep 2020 12:09:37 GMT", "version": "v2" } ]
2020-10-01
[ [ "Bille", "Philip", "" ], [ "Gørtz", "Inge Li", "" ], [ "Skjoldjensen", "Frederik Rye", "" ] ]
We consider the classic partial sums problem on the ultra-wide word RAM model of computation. This model extends the classic $w$-bit word RAM model with special ultrawords of length $w^2$ bits that support standard arithmetic and boolean operation and scattered memory access operations that can access $w$ (non-contiguo...
2406.14882
Issey Sukeda
Issey Sukeda, Risa Kishikawa, Satoshi Kodera
70B-parameter large language models in Japanese medical question-answering
7 pages, 2 figures, 4 Tables
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Since the rise of large language models (LLMs), the domain adaptation has been one of the hot topics in various domains. Many medical LLMs trained with English medical dataset have made public recently. However, Japanese LLMs in medical domain still lack its research. Here we utilize multiple 70B-parameter LLMs for t...
[ { "created": "Fri, 21 Jun 2024 06:04:10 GMT", "version": "v1" } ]
2024-06-24
[ [ "Sukeda", "Issey", "" ], [ "Kishikawa", "Risa", "" ], [ "Kodera", "Satoshi", "" ] ]
Since the rise of large language models (LLMs), the domain adaptation has been one of the hot topics in various domains. Many medical LLMs trained with English medical dataset have made public recently. However, Japanese LLMs in medical domain still lack its research. Here we utilize multiple 70B-parameter LLMs for the...
2210.11111
Henrique Donancio
Henrique Don\^ancio and Laurent Vercouter and Harald Roclawski
The Pump Scheduling Problem: A Real-World Scenario for Reinforcement Learning
null
null
null
null
cs.LG cs.AI cs.SY eess.SY
http://creativecommons.org/licenses/by-sa/4.0/
Deep Reinforcement Learning (DRL) has achieved remarkable success in scenarios such as games and has emerged as a potential solution for control tasks. That is due to its ability to leverage scalability and handle complex dynamics. However, few works have targeted environments grounded in real-world settings. Indeed,...
[ { "created": "Thu, 20 Oct 2022 09:16:03 GMT", "version": "v1" } ]
2022-10-21
[ [ "Donâncio", "Henrique", "" ], [ "Vercouter", "Laurent", "" ], [ "Roclawski", "Harald", "" ] ]
Deep Reinforcement Learning (DRL) has achieved remarkable success in scenarios such as games and has emerged as a potential solution for control tasks. That is due to its ability to leverage scalability and handle complex dynamics. However, few works have targeted environments grounded in real-world settings. Indeed, r...
1804.02608
Tauhid Zaman
Fanyu Que, Krishnan Rajagopalan, Tauhid Zaman
Penetrating a Social Network: The Follow-back Problem
38 pages, 14 figures
null
null
null
cs.SI physics.soc-ph stat.AP
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Modern threats have emerged from the prevalence of social networks. Hostile actors, such as extremist groups or foreign governments, utilize these networks to run propaganda campaigns with different aims. For extremists, these campaigns are designed for recruiting new members or inciting violence. For foreign governm...
[ { "created": "Sun, 8 Apr 2018 00:58:51 GMT", "version": "v1" } ]
2018-04-10
[ [ "Que", "Fanyu", "" ], [ "Rajagopalan", "Krishnan", "" ], [ "Zaman", "Tauhid", "" ] ]
Modern threats have emerged from the prevalence of social networks. Hostile actors, such as extremist groups or foreign governments, utilize these networks to run propaganda campaigns with different aims. For extremists, these campaigns are designed for recruiting new members or inciting violence. For foreign governmen...
1403.5022
Jason Williams
Jason L. Williams
An efficient, variational approximation of the best fitting multi-Bernoulli filter
Accepted, IEEE Transactions on Signal Processing, http://dx.doi.org/10.1109/TSP.2014.2370946
IEEE Transactions on Signal Processing, vol 63, no 1, pp 258-273, January 2015
10.1109/TSP.2014.2370946
null
cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The joint probabilistic data association (JPDA) filter is a popular tracking methodology for problems involving well-spaced targets, but it is rarely applied in problems with closely-spaced targets due to its complexity in these cases, and due to the well-known phenomenon of coalescence. This paper addresses these di...
[ { "created": "Thu, 20 Mar 2014 01:57:53 GMT", "version": "v1" }, { "created": "Wed, 19 Nov 2014 00:42:44 GMT", "version": "v2" } ]
2014-12-16
[ [ "Williams", "Jason L.", "" ] ]
The joint probabilistic data association (JPDA) filter is a popular tracking methodology for problems involving well-spaced targets, but it is rarely applied in problems with closely-spaced targets due to its complexity in these cases, and due to the well-known phenomenon of coalescence. This paper addresses these diff...