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2304.14268
Colin Cleveland Mr
Colin Cleveland, Chin-Yen Lee, Shen-Fu Tsai, Wei-Hsuan Yu, Hsuan-Wei Lee
Graphlet and Orbit Computation on Heterogeneous Graphs
13 pages, 7 figures
null
null
null
cs.SI physics.data-an
http://creativecommons.org/licenses/by/4.0/
Many applications, ranging from natural to social sciences, rely on graphlet analysis for the intuitive and meaningful characterization of networks employing micro-level structures as building blocks. However, it has not been thoroughly explored in heterogeneous graphs, which comprise various types of nodes and edges...
[ { "created": "Wed, 26 Apr 2023 13:16:22 GMT", "version": "v1" }, { "created": "Fri, 28 Apr 2023 20:16:51 GMT", "version": "v2" }, { "created": "Mon, 5 Jun 2023 13:52:26 GMT", "version": "v3" } ]
2023-06-06
[ [ "Cleveland", "Colin", "" ], [ "Lee", "Chin-Yen", "" ], [ "Tsai", "Shen-Fu", "" ], [ "Yu", "Wei-Hsuan", "" ], [ "Lee", "Hsuan-Wei", "" ] ]
Many applications, ranging from natural to social sciences, rely on graphlet analysis for the intuitive and meaningful characterization of networks employing micro-level structures as building blocks. However, it has not been thoroughly explored in heterogeneous graphs, which comprise various types of nodes and edges. ...
2208.10265
Soumyabrata Dev
Jiantao Wu, Fabrizio Orlandi, Tarek AlSkaif, Declan O'Sullivan, and Soumyabrata Dev
A semantic web approach to uplift decentralized household energy data
Published in Sustainable Energy, Grids and Networks (SEGAN) 2022
null
null
null
cs.AI cs.IR cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In a decentralized household energy system comprised of various devices such as home appliances, electric vehicles, and solar panels, end-users are able to dig deeper into the system's details and further achieve energy sustainability if they are presented with data on the electric energy consumption and production a...
[ { "created": "Thu, 18 Aug 2022 17:21:18 GMT", "version": "v1" }, { "created": "Fri, 26 Aug 2022 22:48:54 GMT", "version": "v2" } ]
2022-08-30
[ [ "Wu", "Jiantao", "" ], [ "Orlandi", "Fabrizio", "" ], [ "AlSkaif", "Tarek", "" ], [ "O'Sullivan", "Declan", "" ], [ "Dev", "Soumyabrata", "" ] ]
In a decentralized household energy system comprised of various devices such as home appliances, electric vehicles, and solar panels, end-users are able to dig deeper into the system's details and further achieve energy sustainability if they are presented with data on the electric energy consumption and production at ...
2006.09736
Casper Hansen
Christian Hansen and Casper Hansen and Jakob Grue Simonsen and Birger Larsen and Stephen Alstrup and Christina Lioma
Factuality Checking in News Headlines with Eye Tracking
Accepted to SIGIR 2020
null
10.1145/3397271.3401221
null
cs.HC cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study whether it is possible to infer if a news headline is true or false using only the movement of the human eyes when reading news headlines. Our study with 55 participants who are eye-tracked when reading 108 news headlines (72 true, 36 false) shows that false headlines receive statistically significantly less...
[ { "created": "Wed, 17 Jun 2020 09:24:21 GMT", "version": "v1" } ]
2020-06-18
[ [ "Hansen", "Christian", "" ], [ "Hansen", "Casper", "" ], [ "Simonsen", "Jakob Grue", "" ], [ "Larsen", "Birger", "" ], [ "Alstrup", "Stephen", "" ], [ "Lioma", "Christina", "" ] ]
We study whether it is possible to infer if a news headline is true or false using only the movement of the human eyes when reading news headlines. Our study with 55 participants who are eye-tracked when reading 108 news headlines (72 true, 36 false) shows that false headlines receive statistically significantly less v...
2306.02648
Cosijopii Garc\'ia-Garc\'ia
Cosijopii Garcia-Garcia and Alicia Morales-Reyes and Hugo Jair Escalante
Continuous Cartesian Genetic Programming based representation for Multi-Objective Neural Architecture Search
null
null
null
null
cs.NE cs.CV
http://creativecommons.org/licenses/by-nc-nd/4.0/
We propose a novel approach for the challenge of designing less complex yet highly effective convolutional neural networks (CNNs) through the use of cartesian genetic programming (CGP) for neural architecture search (NAS). Our approach combines real-based and block-chained CNNs representations based on CGP for optimi...
[ { "created": "Mon, 5 Jun 2023 07:32:47 GMT", "version": "v1" } ]
2023-06-06
[ [ "Garcia-Garcia", "Cosijopii", "" ], [ "Morales-Reyes", "Alicia", "" ], [ "Escalante", "Hugo Jair", "" ] ]
We propose a novel approach for the challenge of designing less complex yet highly effective convolutional neural networks (CNNs) through the use of cartesian genetic programming (CGP) for neural architecture search (NAS). Our approach combines real-based and block-chained CNNs representations based on CGP for optimiza...
2011.11095
Gevorg Yeghikyan
Gevorg Yeghikyan
How will AI and automation transform society and cities?
8 pages, 1 figure
null
null
null
cs.CY
http://creativecommons.org/licenses/by/4.0/
Against the backdrop of rising anxiety and discussions on the impact of AI on society, I explore in this article the structural possibilities of AI and automation triggering a new social conflict between the current capitalist elites and the emerging "creative class" (R&D scientists, engineers, business developers, e...
[ { "created": "Sun, 22 Nov 2020 19:44:51 GMT", "version": "v1" } ]
2020-11-24
[ [ "Yeghikyan", "Gevorg", "" ] ]
Against the backdrop of rising anxiety and discussions on the impact of AI on society, I explore in this article the structural possibilities of AI and automation triggering a new social conflict between the current capitalist elites and the emerging "creative class" (R&D scientists, engineers, business developers, etc...
2101.03477
Peter Washington
Peter Washington, Onur Cezmi Mutlu, Emilie Leblanc, Aaron Kline, Cathy Hou, Brianna Chrisman, Nate Stockham, Kelley Paskov, Catalin Voss, Nick Haber, Dennis Wall
Training Affective Computer Vision Models by Crowdsourcing Soft-Target Labels
null
null
null
null
cs.CV cs.HC
http://creativecommons.org/licenses/by-nc-nd/4.0/
Emotion classifiers traditionally predict discrete emotions. However, emotion expressions are often subjective, thus requiring a method to handle subjective labels. We explore the use of crowdsourcing to acquire reliable soft-target labels and evaluate an emotion detection classifier trained with these labels. We cen...
[ { "created": "Sun, 10 Jan 2021 05:26:55 GMT", "version": "v1" }, { "created": "Wed, 22 Sep 2021 23:12:50 GMT", "version": "v2" } ]
2021-09-24
[ [ "Washington", "Peter", "" ], [ "Mutlu", "Onur Cezmi", "" ], [ "Leblanc", "Emilie", "" ], [ "Kline", "Aaron", "" ], [ "Hou", "Cathy", "" ], [ "Chrisman", "Brianna", "" ], [ "Stockham", "Nate", "" ], [ ...
Emotion classifiers traditionally predict discrete emotions. However, emotion expressions are often subjective, thus requiring a method to handle subjective labels. We explore the use of crowdsourcing to acquire reliable soft-target labels and evaluate an emotion detection classifier trained with these labels. We cente...
1412.2342
Hayaru Shouno
Hayaru Shouno
Bayesian Image Restoration for Poisson Corrupted Image using a Latent Variational Method with Gaussian MRF
9 pages, 6 figures, The of this manuscript is submitting to the Information Processing Society of Japan(IPSJ), Transactions on Mathematical Modeling and its Applications (TOM)
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We treat an image restoration problem with a Poisson noise chan- nel using a Bayesian framework. The Poisson randomness might be appeared in observation of low contrast object in the field of imaging. The noise observation is often hard to treat in a theo- retical analysis. In our formulation, we interpret the observ...
[ { "created": "Sun, 7 Dec 2014 10:59:55 GMT", "version": "v1" } ]
2014-12-09
[ [ "Shouno", "Hayaru", "" ] ]
We treat an image restoration problem with a Poisson noise chan- nel using a Bayesian framework. The Poisson randomness might be appeared in observation of low contrast object in the field of imaging. The noise observation is often hard to treat in a theo- retical analysis. In our formulation, we interpret the observat...
2311.00278
Min Jae Jung
Min Jae Jung, Seung Dae Han and Joohee Kim
Re-Scoring Using Image-Language Similarity for Few-Shot Object Detection
19 pages, 11 figures
null
10.1016/j.cviu.2024.103956
null
cs.CV cs.AI
http://creativecommons.org/licenses/by-nc-nd/4.0/
Few-shot object detection, which focuses on detecting novel objects with few labels, is an emerging challenge in the community. Recent studies show that adapting a pre-trained model or modified loss function can improve performance. In this paper, we explore leveraging the power of Contrastive Language-Image Pre-trai...
[ { "created": "Wed, 1 Nov 2023 04:04:34 GMT", "version": "v1" } ]
2024-07-25
[ [ "Jung", "Min Jae", "" ], [ "Han", "Seung Dae", "" ], [ "Kim", "Joohee", "" ] ]
Few-shot object detection, which focuses on detecting novel objects with few labels, is an emerging challenge in the community. Recent studies show that adapting a pre-trained model or modified loss function can improve performance. In this paper, we explore leveraging the power of Contrastive Language-Image Pre-traini...
1509.02620
Dharmendra Dixit
Dharmendra Dixit and P. R. Sahu
Performance of QAM Schemes with Dual-Hop DF Relaying Systems over Mixed $\eta$-$\mu$ and $\kappa$-$\mu$ Fading Channels
25
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Performance of quadrature amplitude modulation (QAM) schemes is analyzed with dual-hop decode-and-forward (DF) relaying systems over mixed $\eta$-$\mu$ and $\kappa$-$\mu$ fading channels. Closed-form expressions are obtained for the average symbol error rate (ASER) for general order rectangular QAM and cross QAM sche...
[ { "created": "Wed, 9 Sep 2015 03:14:41 GMT", "version": "v1" } ]
2015-09-10
[ [ "Dixit", "Dharmendra", "" ], [ "Sahu", "P. R.", "" ] ]
Performance of quadrature amplitude modulation (QAM) schemes is analyzed with dual-hop decode-and-forward (DF) relaying systems over mixed $\eta$-$\mu$ and $\kappa$-$\mu$ fading channels. Closed-form expressions are obtained for the average symbol error rate (ASER) for general order rectangular QAM and cross QAM scheme...
2205.00840
Volker Nannen
Volker Nannen and Damian Bover
Traction of Interlocking Spikes on a Granular Material
null
Earth and Space 2022, 18th Biennial International Conference on Engineering, Science, Construction, and Operations in Challenging Environments
10.1061/9780784484470.009
null
cs.RO cond-mat.soft
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The interlock drive system generates traction by inserting narrow articulated spikes into the ground and by leveraging the soil's strength to resist horizontal draft forces. The system promises high tractive performance in low gravity environments where tires have little traction for lack of weight. At Earth and Spac...
[ { "created": "Sat, 2 Apr 2022 22:07:10 GMT", "version": "v1" }, { "created": "Fri, 21 Apr 2023 19:02:38 GMT", "version": "v2" } ]
2023-04-25
[ [ "Nannen", "Volker", "" ], [ "Bover", "Damian", "" ] ]
The interlock drive system generates traction by inserting narrow articulated spikes into the ground and by leveraging the soil's strength to resist horizontal draft forces. The system promises high tractive performance in low gravity environments where tires have little traction for lack of weight. At Earth and Space ...
1304.4326
Himanshu Chauhan
Himanshu Chauhan, Vijay K. Garg, Aravind Natarajan, Neeraj Mittal
Distributed Abstraction Algorithm for Online Predicate Detection
null
null
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Analyzing a distributed computation is a hard problem in general due to the combinatorial explosion in the size of the state-space with the number of processes in the system. By abstracting the computation, unnecessary explorations can be avoided. Computation slicing is an approach for abstracting dis- tributed compu...
[ { "created": "Tue, 16 Apr 2013 03:56:24 GMT", "version": "v1" }, { "created": "Fri, 31 May 2013 04:03:28 GMT", "version": "v2" }, { "created": "Tue, 4 Jun 2013 06:23:50 GMT", "version": "v3" } ]
2013-06-05
[ [ "Chauhan", "Himanshu", "" ], [ "Garg", "Vijay K.", "" ], [ "Natarajan", "Aravind", "" ], [ "Mittal", "Neeraj", "" ] ]
Analyzing a distributed computation is a hard problem in general due to the combinatorial explosion in the size of the state-space with the number of processes in the system. By abstracting the computation, unnecessary explorations can be avoided. Computation slicing is an approach for abstracting dis- tributed computa...
2011.00717
Hongyuan Mei
Hongyuan Mei, Tom Wan, Jason Eisner
Noise-Contrastive Estimation for Multivariate Point Processes
NeurIPS 2020 camera-ready
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The log-likelihood of a generative model often involves both positive and negative terms. For a temporal multivariate point process, the negative term sums over all the possible event types at each time and also integrates over all the possible times. As a result, maximum likelihood estimation is expensive. We show h...
[ { "created": "Mon, 2 Nov 2020 04:09:33 GMT", "version": "v1" } ]
2020-11-03
[ [ "Mei", "Hongyuan", "" ], [ "Wan", "Tom", "" ], [ "Eisner", "Jason", "" ] ]
The log-likelihood of a generative model often involves both positive and negative terms. For a temporal multivariate point process, the negative term sums over all the possible event types at each time and also integrates over all the possible times. As a result, maximum likelihood estimation is expensive. We show how...
1810.13320
Longyue Wang
Baosong Yang, Longyue Wang, Derek F. Wong, Lidia S. Chao, Zhaopeng Tu
Convolutional Self-Attention Network
The least version of this paper has been uploaded to another link: arXiv:1904.03107
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Self-attention network (SAN) has recently attracted increasing interest due to its fully parallelized computation and flexibility in modeling dependencies. It can be further enhanced with multi-headed attention mechanism by allowing the model to jointly attend to information from different representation subspaces at...
[ { "created": "Wed, 31 Oct 2018 14:58:30 GMT", "version": "v1" }, { "created": "Mon, 8 Apr 2019 09:15:30 GMT", "version": "v2" } ]
2019-04-09
[ [ "Yang", "Baosong", "" ], [ "Wang", "Longyue", "" ], [ "Wong", "Derek F.", "" ], [ "Chao", "Lidia S.", "" ], [ "Tu", "Zhaopeng", "" ] ]
Self-attention network (SAN) has recently attracted increasing interest due to its fully parallelized computation and flexibility in modeling dependencies. It can be further enhanced with multi-headed attention mechanism by allowing the model to jointly attend to information from different representation subspaces at d...
1607.05671
Shankara Narayanan Krishna
S Akshay, Patricia Bouyer, Shankara Narayanan Krishna, Lakshmi Manasa, Ashutosh Trivedi
Stochastic Timed Games Revisited
null
null
null
null
cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Stochastic timed games (STGs), introduced by Bouyer and Forejt, naturally generalize both continuous-time Markov chains and timed automata by providing a partition of the locations between those controlled by two players (Player Box and Player Diamond) with competing objectives and those governed by stochastic laws. ...
[ { "created": "Tue, 19 Jul 2016 17:27:14 GMT", "version": "v1" } ]
2016-07-20
[ [ "Akshay", "S", "" ], [ "Bouyer", "Patricia", "" ], [ "Krishna", "Shankara Narayanan", "" ], [ "Manasa", "Lakshmi", "" ], [ "Trivedi", "Ashutosh", "" ] ]
Stochastic timed games (STGs), introduced by Bouyer and Forejt, naturally generalize both continuous-time Markov chains and timed automata by providing a partition of the locations between those controlled by two players (Player Box and Player Diamond) with competing objectives and those governed by stochastic laws. De...
1805.11598
Phoebe Mulcaire
Phoebe Mulcaire, Swabha Swayamdipta, Noah Smith
Polyglot Semantic Role Labeling
To appear at ACL 2018
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Previous approaches to multilingual semantic dependency parsing treat languages independently, without exploiting the similarities between semantic structures across languages. We experiment with a new approach where we combine resources from a pair of languages in the CoNLL 2009 shared task to build a polyglot seman...
[ { "created": "Tue, 29 May 2018 17:29:55 GMT", "version": "v1" } ]
2018-05-30
[ [ "Mulcaire", "Phoebe", "" ], [ "Swayamdipta", "Swabha", "" ], [ "Smith", "Noah", "" ] ]
Previous approaches to multilingual semantic dependency parsing treat languages independently, without exploiting the similarities between semantic structures across languages. We experiment with a new approach where we combine resources from a pair of languages in the CoNLL 2009 shared task to build a polyglot semanti...
2104.12141
Abhinandan Nath
Abhinandan Nath
Coresets for $k$-median clustering under Fr\'{e}chet and Hausdorff distances
null
null
null
null
cs.CG
http://creativecommons.org/licenses/by/4.0/
We give algorithms for computing coresets for $(1+\varepsilon)$-approximate $k$-median clustering of polygonal curves (under the discrete and continuous Fr\'{e}chet distance) and point sets (under the Hausdorff distance), when the cluster centers are restricted to be of low complexity. Ours is the first such result, ...
[ { "created": "Sun, 25 Apr 2021 12:27:05 GMT", "version": "v1" } ]
2021-04-27
[ [ "Nath", "Abhinandan", "" ] ]
We give algorithms for computing coresets for $(1+\varepsilon)$-approximate $k$-median clustering of polygonal curves (under the discrete and continuous Fr\'{e}chet distance) and point sets (under the Hausdorff distance), when the cluster centers are restricted to be of low complexity. Ours is the first such result, wh...
2404.03164
Haonan Zhang
Haonan Zhang, Dongxia Wang, Zhu Sun, Yanhui Li, Youcheng Sun, Huizhi Liang, Wenhai Wang
Does Knowledge Graph Really Matter for Recommender Systems?
null
null
null
null
cs.IR cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recommender systems (RSs) are designed to provide personalized recommendations to users. Recently, knowledge graphs (KGs) have been widely introduced in RSs to improve recommendation accuracy. In this study, however, we demonstrate that RSs do not necessarily perform worse even if the KG is downgraded to the user-ite...
[ { "created": "Thu, 4 Apr 2024 02:32:58 GMT", "version": "v1" } ]
2024-04-05
[ [ "Zhang", "Haonan", "" ], [ "Wang", "Dongxia", "" ], [ "Sun", "Zhu", "" ], [ "Li", "Yanhui", "" ], [ "Sun", "Youcheng", "" ], [ "Liang", "Huizhi", "" ], [ "Wang", "Wenhai", "" ] ]
Recommender systems (RSs) are designed to provide personalized recommendations to users. Recently, knowledge graphs (KGs) have been widely introduced in RSs to improve recommendation accuracy. In this study, however, we demonstrate that RSs do not necessarily perform worse even if the KG is downgraded to the user-item ...
2312.03558
Wenhui Wang
Wenhui Wang, Shuming Ma, Hanwen Xu, Naoto Usuyama, Jiayu Ding, Hoifung Poon, Furu Wei
When an Image is Worth 1,024 x 1,024 Words: A Case Study in Computational Pathology
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This technical report presents LongViT, a vision Transformer that can process gigapixel images in an end-to-end manner. Specifically, we split the gigapixel image into a sequence of millions of patches and project them linearly into embeddings. LongNet is then employed to model the extremely long sequence, generating...
[ { "created": "Wed, 6 Dec 2023 15:40:28 GMT", "version": "v1" } ]
2023-12-07
[ [ "Wang", "Wenhui", "" ], [ "Ma", "Shuming", "" ], [ "Xu", "Hanwen", "" ], [ "Usuyama", "Naoto", "" ], [ "Ding", "Jiayu", "" ], [ "Poon", "Hoifung", "" ], [ "Wei", "Furu", "" ] ]
This technical report presents LongViT, a vision Transformer that can process gigapixel images in an end-to-end manner. Specifically, we split the gigapixel image into a sequence of millions of patches and project them linearly into embeddings. LongNet is then employed to model the extremely long sequence, generating r...
2310.11644
Morteza Fayazi
Serafina Kamp, Morteza Fayazi, Zineb Benameur-El, Shuyan Yu, Ronald Dreslinski
Open Information Extraction: A Review of Baseline Techniques, Approaches, and Applications
15 pages, 9 figures
null
null
null
cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With the abundant amount of available online and offline text data, there arises a crucial need to extract the relation between phrases and summarize the main content of each document in a few words. For this purpose, there have been many studies recently in Open Information Extraction (OIE). OIE improves upon relati...
[ { "created": "Wed, 18 Oct 2023 01:06:01 GMT", "version": "v1" } ]
2023-10-19
[ [ "Kamp", "Serafina", "" ], [ "Fayazi", "Morteza", "" ], [ "Benameur-El", "Zineb", "" ], [ "Yu", "Shuyan", "" ], [ "Dreslinski", "Ronald", "" ] ]
With the abundant amount of available online and offline text data, there arises a crucial need to extract the relation between phrases and summarize the main content of each document in a few words. For this purpose, there have been many studies recently in Open Information Extraction (OIE). OIE improves upon relation...
2310.18042
Alberto Sonnino
Sam Blackshear, Andrey Chursin, George Danezis, Anastasios Kichidis, Lefteris Kokoris-Kogias, Xun Li, Mark Logan, Ashok Menon, Todd Nowacki, Alberto Sonnino, Brandon Williams, Lu Zhang
Sui Lutris: A Blockchain Combining Broadcast and Consensus
null
null
null
null
cs.DC cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sui Lutris is the first smart-contract platform to sustainably achieve sub-second finality. It achieves this significant decrease by employing consensusless agreement not only for simple payments but for a large variety of transactions. Unlike prior work, Sui Lutris neither compromises expressiveness nor throughput a...
[ { "created": "Fri, 27 Oct 2023 10:40:11 GMT", "version": "v1" }, { "created": "Wed, 1 May 2024 13:14:03 GMT", "version": "v2" }, { "created": "Mon, 6 May 2024 10:50:44 GMT", "version": "v3" }, { "created": "Mon, 12 Aug 2024 08:09:19 GMT", "version": "v4" } ]
2024-08-13
[ [ "Blackshear", "Sam", "" ], [ "Chursin", "Andrey", "" ], [ "Danezis", "George", "" ], [ "Kichidis", "Anastasios", "" ], [ "Kokoris-Kogias", "Lefteris", "" ], [ "Li", "Xun", "" ], [ "Logan", "Mark", "" ], ...
Sui Lutris is the first smart-contract platform to sustainably achieve sub-second finality. It achieves this significant decrease by employing consensusless agreement not only for simple payments but for a large variety of transactions. Unlike prior work, Sui Lutris neither compromises expressiveness nor throughput and...
2211.00806
Hamid Hosseinianfar
Hamid Hosseinianfar, Hami Rabbani, and Maite Brandt-Pearce
Optical Channel Impulse Response-Based Localization Using An Artificial Neural Network
null
null
null
null
cs.IT cs.LG eess.SP math.IT
http://creativecommons.org/licenses/by-nc-nd/4.0/
Visible light positioning has the potential to yield sub-centimeter accuracy in indoor environments, yet conventional received signal strength (RSS)-based localization algorithms cannot achieve this because their performance degrades from optical multipath reflection. However, this part of the optical received signal...
[ { "created": "Wed, 2 Nov 2022 00:54:18 GMT", "version": "v1" }, { "created": "Fri, 4 Nov 2022 18:59:10 GMT", "version": "v2" } ]
2022-11-08
[ [ "Hosseinianfar", "Hamid", "" ], [ "Rabbani", "Hami", "" ], [ "Brandt-Pearce", "Maite", "" ] ]
Visible light positioning has the potential to yield sub-centimeter accuracy in indoor environments, yet conventional received signal strength (RSS)-based localization algorithms cannot achieve this because their performance degrades from optical multipath reflection. However, this part of the optical received signal i...
2303.15114
Aidana Massalimova
Aidana Massalimova, Maikel Timmermans, Nicola Cavalcanti, Daniel Suter, Matthias Seibold, Fabio Carrillo, Christoph J. Laux, Reto Sutter, Mazda Farshad, Kathleen Denis, Philipp F\"urnstahl
Automatic breach detection during spine pedicle drilling based on vibroacoustic sensing
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-nd/4.0/
Pedicle drilling is a complex and critical spinal surgery task. Detecting breach or penetration of the surgical tool to the cortical wall during pilot-hole drilling is essential to avoid damage to vital anatomical structures adjacent to the pedicle, such as the spinal cord, blood vessels, and nerves. Currently, the g...
[ { "created": "Mon, 27 Mar 2023 11:32:14 GMT", "version": "v1" } ]
2023-03-28
[ [ "Massalimova", "Aidana", "" ], [ "Timmermans", "Maikel", "" ], [ "Cavalcanti", "Nicola", "" ], [ "Suter", "Daniel", "" ], [ "Seibold", "Matthias", "" ], [ "Carrillo", "Fabio", "" ], [ "Laux", "Christoph J.", ...
Pedicle drilling is a complex and critical spinal surgery task. Detecting breach or penetration of the surgical tool to the cortical wall during pilot-hole drilling is essential to avoid damage to vital anatomical structures adjacent to the pedicle, such as the spinal cord, blood vessels, and nerves. Currently, the gui...
2302.08005
Hongzheng Chen
Hongzheng Chen, Cody Hao Yu, Shuai Zheng, Zhen Zhang, Zhiru Zhang, Yida Wang
Slapo: A Schedule Language for Progressive Optimization of Large Deep Learning Model Training
Accepted to ASPLOS'24
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
Recent years have seen an increase in the development of large deep learning (DL) models, which makes training efficiency crucial. Common practice is struggling with the trade-off between usability and performance. On one hand, DL frameworks such as PyTorch use dynamic graphs to facilitate model developers at a price...
[ { "created": "Thu, 16 Feb 2023 00:34:53 GMT", "version": "v1" }, { "created": "Sat, 23 Dec 2023 03:52:35 GMT", "version": "v2" } ]
2023-12-27
[ [ "Chen", "Hongzheng", "" ], [ "Yu", "Cody Hao", "" ], [ "Zheng", "Shuai", "" ], [ "Zhang", "Zhen", "" ], [ "Zhang", "Zhiru", "" ], [ "Wang", "Yida", "" ] ]
Recent years have seen an increase in the development of large deep learning (DL) models, which makes training efficiency crucial. Common practice is struggling with the trade-off between usability and performance. On one hand, DL frameworks such as PyTorch use dynamic graphs to facilitate model developers at a price o...
1305.2006
Jierui Xie
Jierui Xie, Mingming Chen, Boleslaw K. Szymanski
LabelRankT: Incremental Community Detection in Dynamic Networks via Label Propagation
DyNetMM 2013, New York, USA (conjunction with SIGMOD/PODS 2013)
Proc. DyNetMM 2013 at SIGMOD/PODS 2013, New York, NY, 2013
null
null
cs.SI physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
An increasingly important challenge in network analysis is efficient detection and tracking of communities in dynamic networks for which changes arrive as a stream. There is a need for algorithms that can incrementally update and monitor communities whose evolution generates huge realtime data streams, such as the In...
[ { "created": "Thu, 9 May 2013 04:01:46 GMT", "version": "v1" }, { "created": "Sun, 12 May 2013 18:41:13 GMT", "version": "v2" } ]
2013-05-15
[ [ "Xie", "Jierui", "" ], [ "Chen", "Mingming", "" ], [ "Szymanski", "Boleslaw K.", "" ] ]
An increasingly important challenge in network analysis is efficient detection and tracking of communities in dynamic networks for which changes arrive as a stream. There is a need for algorithms that can incrementally update and monitor communities whose evolution generates huge realtime data streams, such as the Inte...
1602.07285
Rohit Singh
Rohit Singh, Armando Solar-Lezama
Automatic Generation of Formula Simplifiers based on Conditional Rewrite Rules
Submitted for peer reviewed conference
null
null
null
cs.PL
http://creativecommons.org/licenses/by/4.0/
This paper addresses the problem of creating simplifiers for logic formulas based on conditional term rewriting. In particular, the paper focuses on a program synthesis application where formula simplifications have been shown to have a significant impact. We show that by combining machine learning techniques with co...
[ { "created": "Tue, 23 Feb 2016 20:09:33 GMT", "version": "v1" } ]
2016-02-24
[ [ "Singh", "Rohit", "" ], [ "Solar-Lezama", "Armando", "" ] ]
This paper addresses the problem of creating simplifiers for logic formulas based on conditional term rewriting. In particular, the paper focuses on a program synthesis application where formula simplifications have been shown to have a significant impact. We show that by combining machine learning techniques with cons...
2301.04205
Benjamin Mikek
Saksham Goel, Benjamin Mikek, Jehad Aly, Venkat Arun, Ahmed Saeed, Aditya Akella
A Performance Verification Methodology for Resource Allocation Heuristics
12 pages, 11 figures
null
null
null
cs.LO
http://creativecommons.org/licenses/by/4.0/
Performance verification is a nascent but promising tool for understanding the performance and limitations of heuristics under realistic assumptions. Bespoke performance verification tools have already demonstrated their value in settings like congestion control and packet scheduling. In this paper, we aim to emphasi...
[ { "created": "Tue, 10 Jan 2023 20:46:20 GMT", "version": "v1" }, { "created": "Wed, 28 Feb 2024 15:15:36 GMT", "version": "v2" } ]
2024-02-29
[ [ "Goel", "Saksham", "" ], [ "Mikek", "Benjamin", "" ], [ "Aly", "Jehad", "" ], [ "Arun", "Venkat", "" ], [ "Saeed", "Ahmed", "" ], [ "Akella", "Aditya", "" ] ]
Performance verification is a nascent but promising tool for understanding the performance and limitations of heuristics under realistic assumptions. Bespoke performance verification tools have already demonstrated their value in settings like congestion control and packet scheduling. In this paper, we aim to emphasize...
1404.2772
Ravi Ranjan
Ravi Ranjan and G. Sahoo
A New Clustering Approach for Anomaly Intrusion Detection
10 pages with 3 figures,2 Tables This paper explains about clustering methodology used in Data Mining field for Intrusion Detection in the area of Network Security
International Journal of Data Mining & Knowledge Management Process (IJDKP),ISSN:2230-9608[Online],2231-007X[Print] Vol.4, No.2, March 2014, page(s): 29-38
10.5121/ijdkp.2014.4203
null
cs.DC cs.CR cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent advances in technology have made our work easier compare to earlier times. Computer network is growing day by day but while discussing about the security of computers and networks it has always been a major concerns for organizations varying from smaller to larger enterprises. It is true that organizations are...
[ { "created": "Thu, 10 Apr 2014 11:22:17 GMT", "version": "v1" } ]
2014-04-11
[ [ "Ranjan", "Ravi", "" ], [ "Sahoo", "G.", "" ] ]
Recent advances in technology have made our work easier compare to earlier times. Computer network is growing day by day but while discussing about the security of computers and networks it has always been a major concerns for organizations varying from smaller to larger enterprises. It is true that organizations are a...
1305.4583
Xin Zhao
Xin Zhao
Parallel Coordinates Guided High Dimensional Transfer Function Design
6 pages, 5 figures. This paper has been withdrawn by the author due to publication
null
null
null
cs.GR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
High-dimensional transfer function design is widely used to provide appropriate data classification for direct volume rendering of various datasets. However, its design is a complicated task. Parallel coordinate plot (PCP), as a powerful visualization tool, can efficiently display high-dimensional geometry and accura...
[ { "created": "Mon, 20 May 2013 17:27:29 GMT", "version": "v1" }, { "created": "Sun, 3 Nov 2013 21:39:13 GMT", "version": "v2" } ]
2013-11-05
[ [ "Zhao", "Xin", "" ] ]
High-dimensional transfer function design is widely used to provide appropriate data classification for direct volume rendering of various datasets. However, its design is a complicated task. Parallel coordinate plot (PCP), as a powerful visualization tool, can efficiently display high-dimensional geometry and accurate...
1202.4626
Avraham N. Trahtman
A. N. Trahtman
The \v{C}erny conjecture
14 pages, 11 Lemmas, most of which are considered trivial by various reviewers. Everything goes to that the main result is also trivial. And the author himself is inclined to admit it
null
null
null
cs.DM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A word $w$ of letters on edges of underlying graph $\Gamma$ of deterministic finite automaton (DFA) is called synchronizing if $w$ sends all states of the automaton to a unique state. J. \v{C}erny discovered in 1964 a sequence of $n$-state complete DFA possessing a minimal synchronizing word of length $(n-1)^2$. The ...
[ { "created": "Tue, 21 Feb 2012 12:50:14 GMT", "version": "v1" }, { "created": "Mon, 14 Jun 2021 15:24:13 GMT", "version": "v10" }, { "created": "Tue, 18 Jan 2022 11:16:53 GMT", "version": "v11" }, { "created": "Sat, 25 Feb 2012 09:42:30 GMT", "version": "v2" }, { ...
2022-01-19
[ [ "Trahtman", "A. N.", "" ] ]
A word $w$ of letters on edges of underlying graph $\Gamma$ of deterministic finite automaton (DFA) is called synchronizing if $w$ sends all states of the automaton to a unique state. J. \v{C}erny discovered in 1964 a sequence of $n$-state complete DFA possessing a minimal synchronizing word of length $(n-1)^2$. The hy...
2101.01677
Vitor Guizilini
Rares Ambrus, Vitor Guizilini, Naveen Kuppuswamy, Andrew Beaulieu, Adrien Gaidon, Alex Alspach
Monocular Depth Estimation for Soft Visuotactile Sensors
null
null
null
null
cs.RO cs.CV
http://creativecommons.org/licenses/by/4.0/
Fluid-filled soft visuotactile sensors such as the Soft-bubbles alleviate key challenges for robust manipulation, as they enable reliable grasps along with the ability to obtain high-resolution sensory feedback on contact geometry and forces. Although they are simple in construction, their utility has been limited du...
[ { "created": "Tue, 5 Jan 2021 17:51:11 GMT", "version": "v1" } ]
2021-01-06
[ [ "Ambrus", "Rares", "" ], [ "Guizilini", "Vitor", "" ], [ "Kuppuswamy", "Naveen", "" ], [ "Beaulieu", "Andrew", "" ], [ "Gaidon", "Adrien", "" ], [ "Alspach", "Alex", "" ] ]
Fluid-filled soft visuotactile sensors such as the Soft-bubbles alleviate key challenges for robust manipulation, as they enable reliable grasps along with the ability to obtain high-resolution sensory feedback on contact geometry and forces. Although they are simple in construction, their utility has been limited due ...
2308.16248
Danai Korre
Danai Korre and Andrew Sherlock
Augmented Reality in Higher Education: a Case Study in Medical Education
4 pages, 2 figures, 9th International Conference of the Immersive Learning Research Network (iLRN2023)
null
null
null
cs.HC cs.ET
http://creativecommons.org/licenses/by-sa/4.0/
During lockdown, we piloted a variety of augmented reality (AR) experiences in collaboration with subject matter experts from different fields aiming at creating remote teaching and training experiences. In this paper, we present a case study on how AR can be used as a teaching aid for medical education with pertinen...
[ { "created": "Wed, 30 Aug 2023 18:11:58 GMT", "version": "v1" } ]
2023-09-14
[ [ "Korre", "Danai", "" ], [ "Sherlock", "Andrew", "" ] ]
During lockdown, we piloted a variety of augmented reality (AR) experiences in collaboration with subject matter experts from different fields aiming at creating remote teaching and training experiences. In this paper, we present a case study on how AR can be used as a teaching aid for medical education with pertinent ...
2004.04446
Yuqing Wang
Yuqing Wang, Zhaoliang Xu, Hao Shen, Baoshan Cheng, Lirong Yang
CenterMask: single shot instance segmentation with point representation
To appear at CVPR 2020
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we propose a single-shot instance segmentation method, which is simple, fast and accurate. There are two main challenges for one-stage instance segmentation: object instances differentiation and pixel-wise feature alignment. Accordingly, we decompose the instance segmentation into two parallel subtasks...
[ { "created": "Thu, 9 Apr 2020 09:35:15 GMT", "version": "v1" }, { "created": "Sat, 11 Apr 2020 05:12:10 GMT", "version": "v2" } ]
2020-04-14
[ [ "Wang", "Yuqing", "" ], [ "Xu", "Zhaoliang", "" ], [ "Shen", "Hao", "" ], [ "Cheng", "Baoshan", "" ], [ "Yang", "Lirong", "" ] ]
In this paper, we propose a single-shot instance segmentation method, which is simple, fast and accurate. There are two main challenges for one-stage instance segmentation: object instances differentiation and pixel-wise feature alignment. Accordingly, we decompose the instance segmentation into two parallel subtasks: ...
1809.05353
Diego Rodriguez
Diego Rodriguez, Corbin Cogswell, Seongyong Koo, and Sven Behnke
Transferring Grasping Skills to Novel Instances by Latent Space Non-Rigid Registration
In Proceedings of IEEE International Conference on Robotics and Automation (ICRA), Brisbane, Australia, May 2018
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Robots acting in open environments need to be able to handle novel objects. Based on the observation that objects within a category are often similar in their shapes and usage, we propose an approach for transferring grasping skills from known instances to novel instances of an object category. Correspondences betwee...
[ { "created": "Fri, 14 Sep 2018 11:06:58 GMT", "version": "v1" } ]
2018-09-17
[ [ "Rodriguez", "Diego", "" ], [ "Cogswell", "Corbin", "" ], [ "Koo", "Seongyong", "" ], [ "Behnke", "Sven", "" ] ]
Robots acting in open environments need to be able to handle novel objects. Based on the observation that objects within a category are often similar in their shapes and usage, we propose an approach for transferring grasping skills from known instances to novel instances of an object category. Correspondences between ...
1403.3905
Michael Hemmer
Francisc Bungiu and Michael Hemmer and John Hershberger and Kan Huang and Alexander Kr\"oller
Efficient Computation of Visibility Polygons
null
null
null
null
cs.CG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Determining visibility in planar polygons and arrangements is an important subroutine for many algorithms in computational geometry. In this paper, we report on new implementations, and corresponding experimental evaluations, for two established and one novel algorithm for computing visibility polygons. These algorit...
[ { "created": "Sun, 16 Mar 2014 11:07:49 GMT", "version": "v1" } ]
2014-03-18
[ [ "Bungiu", "Francisc", "" ], [ "Hemmer", "Michael", "" ], [ "Hershberger", "John", "" ], [ "Huang", "Kan", "" ], [ "Kröller", "Alexander", "" ] ]
Determining visibility in planar polygons and arrangements is an important subroutine for many algorithms in computational geometry. In this paper, we report on new implementations, and corresponding experimental evaluations, for two established and one novel algorithm for computing visibility polygons. These algorithm...
1606.07383
Soheil Feizi
Soheil Feizi, Muriel Medard, Gerald Quon, Manolis Kellis and Ken Duffy
Network Infusion to Infer Information Sources in Networks
21 pages, 13 figures
null
null
null
cs.SI physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Several significant models have been developed that enable the study of diffusion of signals across biological, social and engineered networks. Within these established frameworks, the inverse problem of identifying the source of the propagated signal is challenging, owing to the numerous alternative possibilities fo...
[ { "created": "Thu, 23 Jun 2016 17:45:23 GMT", "version": "v1" } ]
2016-06-24
[ [ "Feizi", "Soheil", "" ], [ "Medard", "Muriel", "" ], [ "Quon", "Gerald", "" ], [ "Kellis", "Manolis", "" ], [ "Duffy", "Ken", "" ] ]
Several significant models have been developed that enable the study of diffusion of signals across biological, social and engineered networks. Within these established frameworks, the inverse problem of identifying the source of the propagated signal is challenging, owing to the numerous alternative possibilities for ...
2211.08273
Adolf Kamuzora Mr
Adolf Kamuzora, Wadie Skaf, Ermiyas Birihanu, Jiyan Mahmud, P\'eter Kiss, Tam\'as Jursonovics, Peter Pogrzeba, Imre Lend\'ak and Tom\'a\v{s} Horv\'ath
Matrix Factorization for Cache Optimization in Content Delivery Networks (CDN)
null
22nd Industrial Conference on Data Mining 2022, New York, USA Proceedings P. 1-10
null
null
cs.NI
http://creativecommons.org/licenses/by-nc-nd/4.0/
Content delivery networks (CDNs) are key components of high throughput, low latency services on the internet. CDN cache servers have limited storage and bandwidth and implement state-of-the-art cache admission and eviction algorithms to select the most popular and relevant content for the customers served. The aim of...
[ { "created": "Wed, 5 Oct 2022 11:06:32 GMT", "version": "v1" } ]
2022-11-16
[ [ "Kamuzora", "Adolf", "" ], [ "Skaf", "Wadie", "" ], [ "Birihanu", "Ermiyas", "" ], [ "Mahmud", "Jiyan", "" ], [ "Kiss", "Péter", "" ], [ "Jursonovics", "Tamás", "" ], [ "Pogrzeba", "Peter", "" ], [ ...
Content delivery networks (CDNs) are key components of high throughput, low latency services on the internet. CDN cache servers have limited storage and bandwidth and implement state-of-the-art cache admission and eviction algorithms to select the most popular and relevant content for the customers served. The aim of t...
2311.11901
Lei Fan
Lei Fan, Yiwen Ding, Dongdong Fan, Yong Wu, Maurice Pagnucco and Yang Song
Identifying the Defective: Detecting Damaged Grains for Cereal Appearance Inspection
Accepted by ECAI2023. https://github.com/hellodfan/AI4GrainInsp
null
10.3233/FAIA230329
null
cs.CV
http://creativecommons.org/licenses/by-nc-sa/4.0/
Cereal grain plays a crucial role in the human diet as a major source of essential nutrients. Grain Appearance Inspection (GAI) serves as an essential process to determine grain quality and facilitate grain circulation and processing. However, GAI is routinely performed manually by inspectors with cumbersome procedur...
[ { "created": "Mon, 20 Nov 2023 16:35:16 GMT", "version": "v1" } ]
2023-11-21
[ [ "Fan", "Lei", "" ], [ "Ding", "Yiwen", "" ], [ "Fan", "Dongdong", "" ], [ "Wu", "Yong", "" ], [ "Pagnucco", "Maurice", "" ], [ "Song", "Yang", "" ] ]
Cereal grain plays a crucial role in the human diet as a major source of essential nutrients. Grain Appearance Inspection (GAI) serves as an essential process to determine grain quality and facilitate grain circulation and processing. However, GAI is routinely performed manually by inspectors with cumbersome procedures...
2305.03977
Da Ren
Da Ren, Yi Cai, Qing Li
An Adversarial Non-Autoregressive Model for Text Generation with Incomplete Information
null
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Non-autoregressive models have been widely studied in the Complete Information Scenario (CIS), in which the input has complete information of corresponding output. However, their explorations in the Incomplete Information Scenario (IIS) are extremely limited. Our analyses reveal that the IIS's incomplete input inform...
[ { "created": "Sat, 6 May 2023 08:43:33 GMT", "version": "v1" }, { "created": "Fri, 1 Dec 2023 15:16:19 GMT", "version": "v2" } ]
2023-12-04
[ [ "Ren", "Da", "" ], [ "Cai", "Yi", "" ], [ "Li", "Qing", "" ] ]
Non-autoregressive models have been widely studied in the Complete Information Scenario (CIS), in which the input has complete information of corresponding output. However, their explorations in the Incomplete Information Scenario (IIS) are extremely limited. Our analyses reveal that the IIS's incomplete input informat...
1812.10280
Torgeir Dings{\o}yr
Torgeir Dings{\o}yr, Nils Brede Moe, Helena Holmstrom Ohlsson
Towards an Understanding of Scaling Frameworks and Business Agility: A Summary of the 6th International Workshop at XP2018
Summary of workshop at XP2018
null
null
null
cs.SE
http://creativecommons.org/licenses/by/4.0/
Large development projects and programs are conducted using agile development methods, with an increasing body of advice from practitioners and from research. This sixth workshop showed in increasing interest in scaling frameworks and in topics related to achieving business agility. This article summarizes four contr...
[ { "created": "Wed, 26 Dec 2018 10:45:08 GMT", "version": "v1" } ]
2018-12-27
[ [ "Dingsøyr", "Torgeir", "" ], [ "Moe", "Nils Brede", "" ], [ "Ohlsson", "Helena Holmstrom", "" ] ]
Large development projects and programs are conducted using agile development methods, with an increasing body of advice from practitioners and from research. This sixth workshop showed in increasing interest in scaling frameworks and in topics related to achieving business agility. This article summarizes four contrib...
2304.01201
Ruihan Yang
Ruihan Yang, Ge Yang, Xiaolong Wang
Neural Volumetric Memory for Visual Locomotion Control
CVPR 2023 Highlight. Our project page with videos is https://rchalyang.github.io/NVM
null
null
null
cs.RO cs.AI cs.CV
http://creativecommons.org/licenses/by/4.0/
Legged robots have the potential to expand the reach of autonomy beyond paved roads. In this work, we consider the difficult problem of locomotion on challenging terrains using a single forward-facing depth camera. Due to the partial observability of the problem, the robot has to rely on past observations to infer th...
[ { "created": "Mon, 3 Apr 2023 17:59:56 GMT", "version": "v1" } ]
2023-04-04
[ [ "Yang", "Ruihan", "" ], [ "Yang", "Ge", "" ], [ "Wang", "Xiaolong", "" ] ]
Legged robots have the potential to expand the reach of autonomy beyond paved roads. In this work, we consider the difficult problem of locomotion on challenging terrains using a single forward-facing depth camera. Due to the partial observability of the problem, the robot has to rely on past observations to infer the ...
2209.07660
Joshua Ott
Joshua Ott, Edward Balaban, Mykel J. Kochenderfer
Sequential Bayesian Optimization for Adaptive Informative Path Planning with Multimodal Sensing
null
null
null
null
cs.AI cs.RO
http://creativecommons.org/licenses/by/4.0/
Adaptive Informative Path Planning with Multimodal Sensing (AIPPMS) considers the problem of an agent equipped with multiple sensors, each with different sensing accuracy and energy costs. The agent's goal is to explore the environment and gather information subject to its resource constraints in unknown, partially o...
[ { "created": "Fri, 16 Sep 2022 00:50:36 GMT", "version": "v1" } ]
2022-09-19
[ [ "Ott", "Joshua", "" ], [ "Balaban", "Edward", "" ], [ "Kochenderfer", "Mykel J.", "" ] ]
Adaptive Informative Path Planning with Multimodal Sensing (AIPPMS) considers the problem of an agent equipped with multiple sensors, each with different sensing accuracy and energy costs. The agent's goal is to explore the environment and gather information subject to its resource constraints in unknown, partially obs...
2009.06218
Jing Ji
Fanglan Zheng, Erihe, Kun Li, Jiang Tian, Xiaojia Xiang
A Vertical Federated Learning Method for Interpretable Scorecard and Its Application in Credit Scoring
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With the success of big data and artificial intelligence in many fields, the applications of big data driven models are expected in financial risk management especially credit scoring and rating. Under the premise of data privacy protection, we propose a projected gradient-based method in the vertical federated learn...
[ { "created": "Mon, 14 Sep 2020 06:26:09 GMT", "version": "v1" } ]
2020-09-15
[ [ "Zheng", "Fanglan", "" ], [ "Erihe", "", "" ], [ "Li", "Kun", "" ], [ "Tian", "Jiang", "" ], [ "Xiang", "Xiaojia", "" ] ]
With the success of big data and artificial intelligence in many fields, the applications of big data driven models are expected in financial risk management especially credit scoring and rating. Under the premise of data privacy protection, we propose a projected gradient-based method in the vertical federated learnin...
2012.00465
Daniel Barath
Yaqing Ding, Daniel Barath, Zuzana Kukelova
Minimal Solutions for Panoramic Stitching Given Gravity Prior
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
When capturing panoramas, people tend to align their cameras with the vertical axis, i.e., the direction of gravity. Moreover, modern devices, such as smartphones and tablets, are equipped with an IMU (Inertial Measurement Unit) that can measure the gravity vector accurately. Using this prior, the y-axes of the camer...
[ { "created": "Tue, 1 Dec 2020 13:17:36 GMT", "version": "v1" } ]
2020-12-02
[ [ "Ding", "Yaqing", "" ], [ "Barath", "Daniel", "" ], [ "Kukelova", "Zuzana", "" ] ]
When capturing panoramas, people tend to align their cameras with the vertical axis, i.e., the direction of gravity. Moreover, modern devices, such as smartphones and tablets, are equipped with an IMU (Inertial Measurement Unit) that can measure the gravity vector accurately. Using this prior, the y-axes of the cameras...
2207.12757
Chun-Mao Lai
Chun-Mao Lai, Ming-Hao Hsu, Chao-Wei Huang, Yun-Nung Chen
Controllable User Dialogue Act Augmentation for Dialogue State Tracking
9 pages, 4 figures, accepted to sigdial 2022
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Prior work has demonstrated that data augmentation is useful for improving dialogue state tracking. However, there are many types of user utterances, while the prior method only considered the simplest one for augmentation, raising the concern about poor generalization capability. In order to better cover diverse dia...
[ { "created": "Tue, 26 Jul 2022 09:04:48 GMT", "version": "v1" } ]
2022-07-27
[ [ "Lai", "Chun-Mao", "" ], [ "Hsu", "Ming-Hao", "" ], [ "Huang", "Chao-Wei", "" ], [ "Chen", "Yun-Nung", "" ] ]
Prior work has demonstrated that data augmentation is useful for improving dialogue state tracking. However, there are many types of user utterances, while the prior method only considered the simplest one for augmentation, raising the concern about poor generalization capability. In order to better cover diverse dialo...
1911.09576
Gordon MacDonald
Gordon MacDonald and Andrew Godbout and Bryn Gillcash and Stephanie Cairns
Volume-preserving Neural Networks
20 pages, 8 figures
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose a novel approach to addressing the vanishing (or exploding) gradient problem in deep neural networks. We construct a new architecture for deep neural networks where all layers (except the output layer) of the network are a combination of rotation, permutation, diagonal, and activation sublayers which are a...
[ { "created": "Thu, 21 Nov 2019 16:10:41 GMT", "version": "v1" }, { "created": "Fri, 22 Nov 2019 17:29:50 GMT", "version": "v2" }, { "created": "Mon, 26 Apr 2021 16:05:32 GMT", "version": "v3" } ]
2021-04-27
[ [ "MacDonald", "Gordon", "" ], [ "Godbout", "Andrew", "" ], [ "Gillcash", "Bryn", "" ], [ "Cairns", "Stephanie", "" ] ]
We propose a novel approach to addressing the vanishing (or exploding) gradient problem in deep neural networks. We construct a new architecture for deep neural networks where all layers (except the output layer) of the network are a combination of rotation, permutation, diagonal, and activation sublayers which are all...
2403.06465
Jianxun Lian
Jianxun Lian, Yuxuan Lei, Xu Huang, Jing Yao, Wei Xu, Xing Xie
RecAI: Leveraging Large Language Models for Next-Generation Recommender Systems
4 pages. Webconf 2024 demo track
null
10.1145/3589335.3651242
null
cs.IR cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper introduces RecAI, a practical toolkit designed to augment or even revolutionize recommender systems with the advanced capabilities of Large Language Models (LLMs). RecAI provides a suite of tools, including Recommender AI Agent, Recommendation-oriented Language Models, Knowledge Plugin, RecExplainer, and E...
[ { "created": "Mon, 11 Mar 2024 07:07:02 GMT", "version": "v1" } ]
2024-03-12
[ [ "Lian", "Jianxun", "" ], [ "Lei", "Yuxuan", "" ], [ "Huang", "Xu", "" ], [ "Yao", "Jing", "" ], [ "Xu", "Wei", "" ], [ "Xie", "Xing", "" ] ]
This paper introduces RecAI, a practical toolkit designed to augment or even revolutionize recommender systems with the advanced capabilities of Large Language Models (LLMs). RecAI provides a suite of tools, including Recommender AI Agent, Recommendation-oriented Language Models, Knowledge Plugin, RecExplainer, and Eva...
1610.04551
Rafael Hurtado
Jorge Useche and Rafael Hurtado
Tonal consonance parameters link microscopic and macroscopic properties of music exposing a hidden order in melody
11 pages, 7 figures. Supplemental material contains 3 figures and 3 tables. An spreadsheet .xlsx contains data, fitting parameters, determination coefficients, expected values, and Lagrange multipliers
null
null
null
cs.SD cs.IT math.IT physics.data-an physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Consonance is related to the perception of pleasantness arising from a combination of sounds and has been approached quantitatively using mathematical relations, physics, information theory, and psychoacoustics. Tonal consonance is present in timbre, musical tuning, harmony, and melody, and it is used for conveying s...
[ { "created": "Fri, 14 Oct 2016 17:42:41 GMT", "version": "v1" }, { "created": "Fri, 27 Jan 2017 19:11:05 GMT", "version": "v2" }, { "created": "Thu, 9 Feb 2017 19:07:40 GMT", "version": "v3" }, { "created": "Sun, 23 Apr 2017 16:31:08 GMT", "version": "v4" } ]
2017-04-25
[ [ "Useche", "Jorge", "" ], [ "Hurtado", "Rafael", "" ] ]
Consonance is related to the perception of pleasantness arising from a combination of sounds and has been approached quantitatively using mathematical relations, physics, information theory, and psychoacoustics. Tonal consonance is present in timbre, musical tuning, harmony, and melody, and it is used for conveying sen...
2306.04431
Tom Lamb
Tom A. Lamb, Rudy Brunel, Krishnamurthy DJ Dvijotham, M. Pawan Kumar, Philip H. S. Torr, Francisco Eiras
Faithful Knowledge Distillation
7pgs (main content), 4 figures
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
Knowledge distillation (KD) has received much attention due to its success in compressing networks to allow for their deployment in resource-constrained systems. While the problem of adversarial robustness has been studied before in the KD setting, previous works overlook what we term the relative calibration of the ...
[ { "created": "Wed, 7 Jun 2023 13:41:55 GMT", "version": "v1" }, { "created": "Thu, 8 Jun 2023 09:50:27 GMT", "version": "v2" }, { "created": "Fri, 11 Aug 2023 13:39:06 GMT", "version": "v3" } ]
2023-08-14
[ [ "Lamb", "Tom A.", "" ], [ "Brunel", "Rudy", "" ], [ "Dvijotham", "Krishnamurthy DJ", "" ], [ "Kumar", "M. Pawan", "" ], [ "Torr", "Philip H. S.", "" ], [ "Eiras", "Francisco", "" ] ]
Knowledge distillation (KD) has received much attention due to its success in compressing networks to allow for their deployment in resource-constrained systems. While the problem of adversarial robustness has been studied before in the KD setting, previous works overlook what we term the relative calibration of the st...
1910.05280
Masato Tamura
Masato Tamura, Tomokazu Murakami
Augmented Hard Example Mining for Generalizable Person Re-Identification
Submit to WACV2020
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Although the performance of person re-identification (Re-ID) has been much improved by using sophisticated training methods and large-scale labelled datasets, many existing methods make the impractical assumption that information of a target domain can be utilized during training. In practice, a Re-ID system often st...
[ { "created": "Fri, 11 Oct 2019 16:19:53 GMT", "version": "v1" } ]
2019-10-14
[ [ "Tamura", "Masato", "" ], [ "Murakami", "Tomokazu", "" ] ]
Although the performance of person re-identification (Re-ID) has been much improved by using sophisticated training methods and large-scale labelled datasets, many existing methods make the impractical assumption that information of a target domain can be utilized during training. In practice, a Re-ID system often star...
1408.6520
Shirin Sohrabi
Shirin Sohrabi and Octavian Udrea and Anton V. Riabov
Knowledge Engineering for Planning-Based Hypothesis Generation
This paper appears in the Proceedings of the Automated Planning and Scheduling (ICAPS) Workshop on Knowledge Engineering for Planning and Scheduling (KEPS)
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we address the knowledge engineering problems for hypothesis generation motivated by applications that require timely exploration of hypotheses under unreliable observations. We looked at two applications: malware detection and intensive care delivery. In intensive care, the goal is to generate plausib...
[ { "created": "Wed, 27 Aug 2014 15:14:11 GMT", "version": "v1" } ]
2014-08-29
[ [ "Sohrabi", "Shirin", "" ], [ "Udrea", "Octavian", "" ], [ "Riabov", "Anton V.", "" ] ]
In this paper, we address the knowledge engineering problems for hypothesis generation motivated by applications that require timely exploration of hypotheses under unreliable observations. We looked at two applications: malware detection and intensive care delivery. In intensive care, the goal is to generate plausible...
2101.09588
Xiaobin Xiong
Xiaobin Xiong and Aaron Ames
3D Underactuated Bipedal Walking via H-LIP based Gait Synthesis and Stepping Stabilization
20 pages, 24 figures. Paper under review, comments are sincerely welcome
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we holistically present a Hybrid-Linear Inverted Pendulum (H-LIP) based approach for synthesizing and stabilizing 3D foot-underactuated bipedal walking, with an emphasis on thorough hardware realization. The H-LIP is proposed to capture the essential components of the underactuated and actuated part of...
[ { "created": "Sat, 23 Jan 2021 21:28:04 GMT", "version": "v1" }, { "created": "Fri, 5 Feb 2021 22:35:25 GMT", "version": "v2" }, { "created": "Wed, 3 Nov 2021 00:24:10 GMT", "version": "v3" } ]
2021-11-04
[ [ "Xiong", "Xiaobin", "" ], [ "Ames", "Aaron", "" ] ]
In this paper, we holistically present a Hybrid-Linear Inverted Pendulum (H-LIP) based approach for synthesizing and stabilizing 3D foot-underactuated bipedal walking, with an emphasis on thorough hardware realization. The H-LIP is proposed to capture the essential components of the underactuated and actuated part of t...
0805.4374
Jin Xu
Jin Xu, Yi Cao, and Biao Chen
Capacity Bounds for Broadcast Channels with Confidential Messages
27 pages, 1 figure, submitted to IEEE Transaction on Information Theory
null
10.1109/TIT.2009.2027500
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we study capacity bounds for discrete memoryless broadcast channels with confidential messages. Two private messages as well as a common message are transmitted; the common message is to be decoded by both receivers, while each private message is only for its intended receiver. In addition, each privat...
[ { "created": "Wed, 28 May 2008 15:36:46 GMT", "version": "v1" } ]
2016-11-17
[ [ "Xu", "Jin", "" ], [ "Cao", "Yi", "" ], [ "Chen", "Biao", "" ] ]
In this paper, we study capacity bounds for discrete memoryless broadcast channels with confidential messages. Two private messages as well as a common message are transmitted; the common message is to be decoded by both receivers, while each private message is only for its intended receiver. In addition, each private ...
1812.05816
Songyang Zhang
Songyang Zhang, Weimin Lei, Wei Zhang, Yunchong Guan
Shared Bottleneck Detecction Based on Trend Line Regression for Multipath Transmission
null
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The current deployed multipath congestion control algorithms couple all the subflows together to avoid bandwidth occupation aggressiveness if the subflows of multipath transmission protocol share common bottleneck with single path TCP. The coupled congestion control algorithms can guarantee well fairness property in ...
[ { "created": "Fri, 14 Dec 2018 08:19:39 GMT", "version": "v1" } ]
2018-12-17
[ [ "Zhang", "Songyang", "" ], [ "Lei", "Weimin", "" ], [ "Zhang", "Wei", "" ], [ "Guan", "Yunchong", "" ] ]
The current deployed multipath congestion control algorithms couple all the subflows together to avoid bandwidth occupation aggressiveness if the subflows of multipath transmission protocol share common bottleneck with single path TCP. The coupled congestion control algorithms can guarantee well fairness property in co...
2306.06238
Harvey Dam
Harvey Dam, Vinu Joseph, Aditya Bhaskara, Ganesh Gopalakrishnan, Saurav Muralidharan, Michael Garland
Understanding the Effect of the Long Tail on Neural Network Compression
null
null
null
null
cs.LG cs.AI cs.CV
http://creativecommons.org/licenses/by-nc-nd/4.0/
Network compression is now a mature sub-field of neural network research: over the last decade, significant progress has been made towards reducing the size of models and speeding up inference, while maintaining the classification accuracy. However, many works have observed that focusing on just the overall accuracy ...
[ { "created": "Fri, 9 Jun 2023 20:18:05 GMT", "version": "v1" }, { "created": "Mon, 19 Jun 2023 09:46:09 GMT", "version": "v2" }, { "created": "Tue, 27 Jun 2023 23:14:16 GMT", "version": "v3" } ]
2023-06-29
[ [ "Dam", "Harvey", "" ], [ "Joseph", "Vinu", "" ], [ "Bhaskara", "Aditya", "" ], [ "Gopalakrishnan", "Ganesh", "" ], [ "Muralidharan", "Saurav", "" ], [ "Garland", "Michael", "" ] ]
Network compression is now a mature sub-field of neural network research: over the last decade, significant progress has been made towards reducing the size of models and speeding up inference, while maintaining the classification accuracy. However, many works have observed that focusing on just the overall accuracy ca...
1806.03483
Chengyuan Zhang
Chengyuan Zhang, Ruipeng Chen, Lei Zhu, Anfeng Liu, Yunwu Lin and Fang Huang
Hierarchical Information Quadtree: Efficient Spatial Temporal Image Search for Multimedia Stream
Published at Multimedia Tools and Applications. arXiv admin note: text overlap with arXiv:1805.02009
null
10.1007/s11042-018-6284-y
null
cs.MM cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Massive amount of multimedia data that contain times- tamps and geographical information are being generated at an unprecedented scale in many emerging applications such as photo sharing web site and social networks applications. Due to their importance, a large body of work has focused on efficiently computing vario...
[ { "created": "Sat, 9 Jun 2018 14:53:07 GMT", "version": "v1" }, { "created": "Wed, 15 Aug 2018 07:53:15 GMT", "version": "v2" } ]
2018-08-16
[ [ "Zhang", "Chengyuan", "" ], [ "Chen", "Ruipeng", "" ], [ "Zhu", "Lei", "" ], [ "Liu", "Anfeng", "" ], [ "Lin", "Yunwu", "" ], [ "Huang", "Fang", "" ] ]
Massive amount of multimedia data that contain times- tamps and geographical information are being generated at an unprecedented scale in many emerging applications such as photo sharing web site and social networks applications. Due to their importance, a large body of work has focused on efficiently computing various...
1604.07095
Xiaoxiao Guo
Xiaoxiao Guo, Satinder Singh, Richard Lewis and Honglak Lee
Deep Learning for Reward Design to Improve Monte Carlo Tree Search in ATARI Games
In 25th International Joint Conference on Artificial Intelligence (IJCAI), 2016
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Monte Carlo Tree Search (MCTS) methods have proven powerful in planning for sequential decision-making problems such as Go and video games, but their performance can be poor when the planning depth and sampling trajectories are limited or when the rewards are sparse. We present an adaptation of PGRD (policy-gradient ...
[ { "created": "Sun, 24 Apr 2016 23:51:18 GMT", "version": "v1" } ]
2016-04-26
[ [ "Guo", "Xiaoxiao", "" ], [ "Singh", "Satinder", "" ], [ "Lewis", "Richard", "" ], [ "Lee", "Honglak", "" ] ]
Monte Carlo Tree Search (MCTS) methods have proven powerful in planning for sequential decision-making problems such as Go and video games, but their performance can be poor when the planning depth and sampling trajectories are limited or when the rewards are sparse. We present an adaptation of PGRD (policy-gradient fo...
2011.07964
Martin Hole\v{c}ek
Martin Hole\v{c}ek
Learning from similarity and information extraction from structured documents
17 pages, 9 figures, manuscript for the IJDAR journal special issue for ICDAR conference
Hole\v{c}ek, M. 2021 Learning from similarity and information extraction from structured documents; International Journal on Document Analysis and Recognition (IJDAR) 2021/06/11
10.1007/s10032-021-00375-3
null
cs.CL cs.IR cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The automation of document processing is gaining recent attention due to the great potential to reduce manual work through improved methods and hardware. Neural networks have been successfully applied before - even though they have been trained only on relatively small datasets with hundreds of documents so far. To s...
[ { "created": "Sat, 17 Oct 2020 21:34:52 GMT", "version": "v1" }, { "created": "Sat, 13 Mar 2021 21:36:56 GMT", "version": "v2" } ]
2021-06-15
[ [ "Holeček", "Martin", "" ] ]
The automation of document processing is gaining recent attention due to the great potential to reduce manual work through improved methods and hardware. Neural networks have been successfully applied before - even though they have been trained only on relatively small datasets with hundreds of documents so far. To suc...
2307.09036
Yingchaojie Feng
Yingchaojie Feng, Xingbo Wang, Kam Kwai Wong, Sijia Wang, Yuhong Lu, Minfeng Zhu, Baicheng Wang, Wei Chen
PromptMagician: Interactive Prompt Engineering for Text-to-Image Creation
Accepted full paper for IEEE VIS 2023
null
10.1109/TVCG.2023.3327168
null
cs.AI cs.HC
http://creativecommons.org/licenses/by/4.0/
Generative text-to-image models have gained great popularity among the public for their powerful capability to generate high-quality images based on natural language prompts. However, developing effective prompts for desired images can be challenging due to the complexity and ambiguity of natural language. This resea...
[ { "created": "Tue, 18 Jul 2023 07:46:25 GMT", "version": "v1" }, { "created": "Tue, 15 Aug 2023 09:44:57 GMT", "version": "v2" } ]
2023-11-02
[ [ "Feng", "Yingchaojie", "" ], [ "Wang", "Xingbo", "" ], [ "Wong", "Kam Kwai", "" ], [ "Wang", "Sijia", "" ], [ "Lu", "Yuhong", "" ], [ "Zhu", "Minfeng", "" ], [ "Wang", "Baicheng", "" ], [ "Chen", ...
Generative text-to-image models have gained great popularity among the public for their powerful capability to generate high-quality images based on natural language prompts. However, developing effective prompts for desired images can be challenging due to the complexity and ambiguity of natural language. This researc...
2209.06692
Lingyu Du
Lingyu Du, Guohao Lan
FreeGaze: Resource-efficient Gaze Estimation via Frequency Domain Contrastive Learning
null
null
null
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Gaze estimation is of great importance to many scientific fields and daily applications, ranging from fundamental research in cognitive psychology to attention-aware mobile systems. While recent advancements in deep learning have yielded remarkable successes in building highly accurate gaze estimation systems, the as...
[ { "created": "Wed, 14 Sep 2022 14:51:52 GMT", "version": "v1" } ]
2022-09-15
[ [ "Du", "Lingyu", "" ], [ "Lan", "Guohao", "" ] ]
Gaze estimation is of great importance to many scientific fields and daily applications, ranging from fundamental research in cognitive psychology to attention-aware mobile systems. While recent advancements in deep learning have yielded remarkable successes in building highly accurate gaze estimation systems, the asso...
2011.10134
Quanquan Gu
Dongruo Zhou and Jiahao Chen and Quanquan Gu
Provable Multi-Objective Reinforcement Learning with Generative Models
10 pages, Workshop on Real-World Reinforcement Learning at the 34th Conference on Neural Information ProcessingSystems (NeurIPS 2020), Vancouver, Canada
null
null
null
cs.LG cs.AI math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Multi-objective reinforcement learning (MORL) is an extension of ordinary, single-objective reinforcement learning (RL) that is applicable to many real-world tasks where multiple objectives exist without known relative costs. We study the problem of single policy MORL, which learns an optimal policy given the prefere...
[ { "created": "Thu, 19 Nov 2020 22:35:31 GMT", "version": "v1" }, { "created": "Mon, 11 Jan 2021 07:28:13 GMT", "version": "v2" } ]
2021-01-12
[ [ "Zhou", "Dongruo", "" ], [ "Chen", "Jiahao", "" ], [ "Gu", "Quanquan", "" ] ]
Multi-objective reinforcement learning (MORL) is an extension of ordinary, single-objective reinforcement learning (RL) that is applicable to many real-world tasks where multiple objectives exist without known relative costs. We study the problem of single policy MORL, which learns an optimal policy given the preferenc...
1301.3369
Yuichiro Fujiwara
Yuichiro Fujiwara
Self-synchronizing pulse position modulation with error tolerance
11 pages, 1 figure, 3 tables. Final accepted version for publication in the IEEE Transactions on Information Theory. This version incorporates minor corrections and some improvements including additional explicit examples, performance comparisons, and a discussion on symbol error rates for use in an FSO link
IEEE Transactions on Information Theory 59 (2013) 5352-5362
10.1109/TIT.2013.2262094
null
cs.IT math.CO math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Pulse position modulation (PPM) is a popular signal modulation technique which creates M-ary data by means of the position of a pulse within a time interval. While PPM and its variations have great advantages in many contexts, this type of modulation is vulnerable to loss of synchronization, potentially causing a sev...
[ { "created": "Tue, 15 Jan 2013 14:51:12 GMT", "version": "v1" }, { "created": "Sun, 5 May 2013 03:19:36 GMT", "version": "v2" } ]
2013-08-20
[ [ "Fujiwara", "Yuichiro", "" ] ]
Pulse position modulation (PPM) is a popular signal modulation technique which creates M-ary data by means of the position of a pulse within a time interval. While PPM and its variations have great advantages in many contexts, this type of modulation is vulnerable to loss of synchronization, potentially causing a sever...
2002.05915
Jinglian He
Jinglian He, Kaiqiang Yu and Yuanming Shi
Coordinated Passive Beamforming for Distributed Intelligent Reflecting Surfaces Network
Accepted by Pro. IEEE Veh. Technol. Conf. (VTC), Antwerp, Belgium, May 2020
null
null
null
cs.IT eess.SP math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Intelligent reflecting surface (IRS) is a proposing technology in 6G to enhance the performance of wireless networks by smartly reconfiguring the propagation environment with a large number of passive reflecting elements. However, current works mainly focus on single IRS-empowered wireless networks, where the channel...
[ { "created": "Fri, 14 Feb 2020 08:31:27 GMT", "version": "v1" } ]
2020-02-17
[ [ "He", "Jinglian", "" ], [ "Yu", "Kaiqiang", "" ], [ "Shi", "Yuanming", "" ] ]
Intelligent reflecting surface (IRS) is a proposing technology in 6G to enhance the performance of wireless networks by smartly reconfiguring the propagation environment with a large number of passive reflecting elements. However, current works mainly focus on single IRS-empowered wireless networks, where the channel r...
1508.02082
Binjie Benjamin Lim
Benjamin Lim
Vulnerability Analysis of GWireless
null
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Wireless networking has become very popular in recent years due to the increase in adoption of mobile devices. As more and more employees demand for Wi-Fi access for their devices, more companies have been jumping onto the "Bring Your Own Device" (BYOD) bandwagon[1] to appease their employees. One such example of an ...
[ { "created": "Sun, 9 Aug 2015 20:45:50 GMT", "version": "v1" } ]
2015-08-11
[ [ "Lim", "Benjamin", "" ] ]
Wireless networking has become very popular in recent years due to the increase in adoption of mobile devices. As more and more employees demand for Wi-Fi access for their devices, more companies have been jumping onto the "Bring Your Own Device" (BYOD) bandwagon[1] to appease their employees. One such example of an en...
2209.00084
Sudeep Pasricha
Febin Sunny, Mahdi Nikdast, Sudeep Pasricha
RecLight: A Recurrent Neural Network Accelerator with Integrated Silicon Photonics
null
null
null
null
cs.LG cs.AR cs.NE
http://creativecommons.org/licenses/by-nc-nd/4.0/
Recurrent Neural Networks (RNNs) are used in applications that learn dependencies in data sequences, such as speech recognition, human activity recognition, and anomaly detection. In recent years, newer RNN variants, such as GRUs and LSTMs, have been used for implementing these applications. As many of these applicat...
[ { "created": "Wed, 31 Aug 2022 19:36:01 GMT", "version": "v1" } ]
2022-09-02
[ [ "Sunny", "Febin", "" ], [ "Nikdast", "Mahdi", "" ], [ "Pasricha", "Sudeep", "" ] ]
Recurrent Neural Networks (RNNs) are used in applications that learn dependencies in data sequences, such as speech recognition, human activity recognition, and anomaly detection. In recent years, newer RNN variants, such as GRUs and LSTMs, have been used for implementing these applications. As many of these applicatio...
cs/0206028
Wolfgang Eiden
Wolfgang Eiden
Knowledge management for enterprises (Wissensmanagement fuer Unternehmen)
published in January 2000, 22 pages, 13 figures, german
null
null
null
cs.IR cs.AI
null
Although knowledge is one of the most valuable resource of enterprises and an important production and competition factor, this intellectual potential is often used (or maintained) only inadequate by the enterprises. Therefore, in a globalised and growing market the optimal usage of existing knowledge represents a ke...
[ { "created": "Wed, 19 Jun 2002 22:13:41 GMT", "version": "v1" }, { "created": "Thu, 1 Aug 2002 00:09:30 GMT", "version": "v2" } ]
2016-08-31
[ [ "Eiden", "Wolfgang", "" ] ]
Although knowledge is one of the most valuable resource of enterprises and an important production and competition factor, this intellectual potential is often used (or maintained) only inadequate by the enterprises. Therefore, in a globalised and growing market the optimal usage of existing knowledge represents a key ...
2304.05008
Dongqi Han
Dongqi Han, Kenji Doya, Dongsheng Li, Jun Tani
Habits and goals in synergy: a variational Bayesian framework for behavior
null
Nat Commun 15, 4461 (2024)
10.1038/s41467-024-48577-7
null
cs.LG cs.AI
http://creativecommons.org/licenses/by/4.0/
How to behave efficiently and flexibly is a central problem for understanding biological agents and creating intelligent embodied AI. It has been well known that behavior can be classified as two types: reward-maximizing habitual behavior, which is fast while inflexible; and goal-directed behavior, which is flexible ...
[ { "created": "Tue, 11 Apr 2023 06:28:14 GMT", "version": "v1" } ]
2024-07-09
[ [ "Han", "Dongqi", "" ], [ "Doya", "Kenji", "" ], [ "Li", "Dongsheng", "" ], [ "Tani", "Jun", "" ] ]
How to behave efficiently and flexibly is a central problem for understanding biological agents and creating intelligent embodied AI. It has been well known that behavior can be classified as two types: reward-maximizing habitual behavior, which is fast while inflexible; and goal-directed behavior, which is flexible wh...
2008.11459
Xin Kong
Xin Kong, Xuemeng Yang, Guangyao Zhai, Xiangrui Zhao, Xianfang Zeng, Mengmeng Wang, Yong Liu, Wanlong Li, Feng Wen
Semantic Graph Based Place Recognition for 3D Point Clouds
8 pages. Accpeted by IROS-2020
null
null
null
cs.CV cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Due to the difficulty in generating the effective descriptors which are robust to occlusion and viewpoint changes, place recognition for 3D point cloud remains an open issue. Unlike most of the existing methods that focus on extracting local, global, and statistical features of raw point clouds, our method aims at th...
[ { "created": "Wed, 26 Aug 2020 09:27:26 GMT", "version": "v1" } ]
2020-08-27
[ [ "Kong", "Xin", "" ], [ "Yang", "Xuemeng", "" ], [ "Zhai", "Guangyao", "" ], [ "Zhao", "Xiangrui", "" ], [ "Zeng", "Xianfang", "" ], [ "Wang", "Mengmeng", "" ], [ "Liu", "Yong", "" ], [ "Li", "Wa...
Due to the difficulty in generating the effective descriptors which are robust to occlusion and viewpoint changes, place recognition for 3D point cloud remains an open issue. Unlike most of the existing methods that focus on extracting local, global, and statistical features of raw point clouds, our method aims at the ...
2206.14452
Yiqi Deng
Yiqi Deng and Siu Ming Yiu
Deep Multiple Instance Learning For Forecasting Stock Trends Using Financial News
17 pages, 4 figures
null
null
null
cs.LG q-fin.CP
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A major source of information can be taken from financial news articles, which have some correlations about the fluctuation of stock trends. In this paper, we investigate the influences of financial news on the stock trends, from a multi-instance view. The intuition behind this is based on the news uncertainty of var...
[ { "created": "Wed, 29 Jun 2022 08:00:13 GMT", "version": "v1" } ]
2022-06-30
[ [ "Deng", "Yiqi", "" ], [ "Yiu", "Siu Ming", "" ] ]
A major source of information can be taken from financial news articles, which have some correlations about the fluctuation of stock trends. In this paper, we investigate the influences of financial news on the stock trends, from a multi-instance view. The intuition behind this is based on the news uncertainty of varyi...
2208.01721
Aresh Dadlani
Sarina Jami, Iman Sahebi, Mohammad M. Sabermahani, Seyed P. Shariatpanahi, Aresh Dadlani, Behrouz Maham
Rumor Stance Classification in Online Social Networks: The State-of-the-Art, Prospects, and Future Challenges
16 pages, 3 figures, journal
null
null
null
cs.SI cs.NI
http://creativecommons.org/licenses/by/4.0/
The emergence of the Internet as a ubiquitous technology has facilitated the rapid evolution of social media as the leading virtual platform for communication, content sharing, and information dissemination. In spite of revolutionizing the way news is delivered to people, this technology has also brought along with i...
[ { "created": "Tue, 2 Aug 2022 20:07:49 GMT", "version": "v1" }, { "created": "Mon, 31 Oct 2022 19:37:10 GMT", "version": "v2" } ]
2022-11-02
[ [ "Jami", "Sarina", "" ], [ "Sahebi", "Iman", "" ], [ "Sabermahani", "Mohammad M.", "" ], [ "Shariatpanahi", "Seyed P.", "" ], [ "Dadlani", "Aresh", "" ], [ "Maham", "Behrouz", "" ] ]
The emergence of the Internet as a ubiquitous technology has facilitated the rapid evolution of social media as the leading virtual platform for communication, content sharing, and information dissemination. In spite of revolutionizing the way news is delivered to people, this technology has also brought along with its...
1808.09772
Antoine Tixier
Antoine J.-P. Tixier
Notes on Deep Learning for NLP
work in progress
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
My notes on Deep Learning for NLP.
[ { "created": "Wed, 29 Aug 2018 12:58:45 GMT", "version": "v1" }, { "created": "Thu, 30 Aug 2018 17:44:54 GMT", "version": "v2" } ]
2018-08-31
[ [ "Tixier", "Antoine J. -P.", "" ] ]
My notes on Deep Learning for NLP.
1804.03230
Tien-Ju Yang
Tien-Ju Yang, Andrew Howard, Bo Chen, Xiao Zhang, Alec Go, Mark Sandler, Vivienne Sze, Hartwig Adam
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications
Accepted by ECCV 2018
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This work proposes an algorithm, called NetAdapt, that automatically adapts a pre-trained deep neural network to a mobile platform given a resource budget. While many existing algorithms simplify networks based on the number of MACs or weights, optimizing those indirect metrics may not necessarily reduce the direct m...
[ { "created": "Mon, 9 Apr 2018 20:45:26 GMT", "version": "v1" }, { "created": "Fri, 28 Sep 2018 19:20:16 GMT", "version": "v2" } ]
2018-10-02
[ [ "Yang", "Tien-Ju", "" ], [ "Howard", "Andrew", "" ], [ "Chen", "Bo", "" ], [ "Zhang", "Xiao", "" ], [ "Go", "Alec", "" ], [ "Sandler", "Mark", "" ], [ "Sze", "Vivienne", "" ], [ "Adam", "Hartwig...
This work proposes an algorithm, called NetAdapt, that automatically adapts a pre-trained deep neural network to a mobile platform given a resource budget. While many existing algorithms simplify networks based on the number of MACs or weights, optimizing those indirect metrics may not necessarily reduce the direct met...
2304.00057
Khandaker Foysal Haque
Khandaker Foysal Haque, Milin Zhang, Francesco Restuccia
SiMWiSense: Simultaneous Multi-Subject Activity Classification Through Wi-Fi Signals
This work has been accepted for publication in IEEE WoWMoM 2023
null
10.1109/WoWMoM57956.2023.00019
null
cs.NI
http://creativecommons.org/licenses/by/4.0/
Recent advances in Wi-Fi sensing have ushered in a plethora of pervasive applications in home surveillance, remote healthcare, road safety, and home entertainment, among others. Most of the existing works are limited to the activity classification of a single human subject at a given time. Conversely, a more realisti...
[ { "created": "Fri, 31 Mar 2023 18:19:23 GMT", "version": "v1" } ]
2023-09-11
[ [ "Haque", "Khandaker Foysal", "" ], [ "Zhang", "Milin", "" ], [ "Restuccia", "Francesco", "" ] ]
Recent advances in Wi-Fi sensing have ushered in a plethora of pervasive applications in home surveillance, remote healthcare, road safety, and home entertainment, among others. Most of the existing works are limited to the activity classification of a single human subject at a given time. Conversely, a more realistic ...
1710.02192
Juan Castorena
Juan Castorena and Siddharth Agarwal
Ground Edge based LIDAR Localization without a Reflectivity Calibration for Autonomous Driving
null
null
10.1109/LRA.2017.2748180
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this work we propose an alternative formulation to the problem of ground reflectivity grid based localization involving laser scanned data from multiple LIDARs mounted on autonomous vehicles. The driving idea of our localization formulation is an alternative edge reflectivity grid representation which is invariant...
[ { "created": "Thu, 5 Oct 2017 19:56:32 GMT", "version": "v1" } ]
2017-10-09
[ [ "Castorena", "Juan", "" ], [ "Agarwal", "Siddharth", "" ] ]
In this work we propose an alternative formulation to the problem of ground reflectivity grid based localization involving laser scanned data from multiple LIDARs mounted on autonomous vehicles. The driving idea of our localization formulation is an alternative edge reflectivity grid representation which is invariant t...
2304.05687
Rock Yuren Pang
Rock Yuren Pang, Katharina Reinecke
Anticipating Unintended Consequences of Technology Using Insights from Creativity Support Tools
In CHI '23 Workshop on Designing Technology and Policy Simultaneously: Towards A Research Agenda and New Practice, April 23, 2023
null
null
null
cs.HC
http://creativecommons.org/licenses/by/4.0/
Our society has been increasingly witnessing a number of negative, unintended consequences of digital technologies. While post-hoc policy regulation is crucial in addressing these issues, reasonably anticipating the consequences before deploying technology can help mitigate potential harm to society in the first plac...
[ { "created": "Wed, 12 Apr 2023 08:25:22 GMT", "version": "v1" } ]
2023-04-13
[ [ "Pang", "Rock Yuren", "" ], [ "Reinecke", "Katharina", "" ] ]
Our society has been increasingly witnessing a number of negative, unintended consequences of digital technologies. While post-hoc policy regulation is crucial in addressing these issues, reasonably anticipating the consequences before deploying technology can help mitigate potential harm to society in the first place....
1602.05181
Arindam Biswas
Arindam Biswas
A Simple Condition for the Existence of Transversals
null
null
null
null
cs.DM math.CO
http://creativecommons.org/licenses/by-sa/4.0/
Hall's Theorem is a basic result in Combinatorics which states that the obvious necesssary condition for a finite family of sets to have a transversal is also sufficient. We present a sufficient (but not necessary) condition on the sizes of the sets in the family and the sizes of their intersections so that a transve...
[ { "created": "Tue, 16 Feb 2016 20:54:24 GMT", "version": "v1" } ]
2016-02-17
[ [ "Biswas", "Arindam", "" ] ]
Hall's Theorem is a basic result in Combinatorics which states that the obvious necesssary condition for a finite family of sets to have a transversal is also sufficient. We present a sufficient (but not necessary) condition on the sizes of the sets in the family and the sizes of their intersections so that a transvers...
1910.00294
Yunsu Kim
Yunsu Kim, Duc Thanh Tran, Hermann Ney
When and Why is Document-level Context Useful in Neural Machine Translation?
DiscoMT 2019 camera-ready
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Document-level context has received lots of attention for compensating neural machine translation (NMT) of isolated sentences. However, recent advances in document-level NMT focus on sophisticated integration of the context, explaining its improvement with only a few selected examples or targeted test sets. We extens...
[ { "created": "Tue, 1 Oct 2019 10:40:26 GMT", "version": "v1" } ]
2019-10-02
[ [ "Kim", "Yunsu", "" ], [ "Tran", "Duc Thanh", "" ], [ "Ney", "Hermann", "" ] ]
Document-level context has received lots of attention for compensating neural machine translation (NMT) of isolated sentences. However, recent advances in document-level NMT focus on sophisticated integration of the context, explaining its improvement with only a few selected examples or targeted test sets. We extensiv...
2303.10631
Peter Kostol\'anyi
Peter Kostol\'anyi
Bideterministic Weighted Automata
This is an extended version of an article published in the proceedings of the conference CAI 2022
null
null
null
cs.FL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A finite automaton is called bideterministic if it is both deterministic and codeterministic -- that is, if it is deterministic and its transpose is deterministic as well. The study of such automata in a weighted setting is initiated. All trim bideterministic weighted automata over integral domains and over positive ...
[ { "created": "Sun, 19 Mar 2023 11:22:34 GMT", "version": "v1" }, { "created": "Wed, 17 May 2023 15:24:39 GMT", "version": "v2" }, { "created": "Fri, 29 Sep 2023 14:08:04 GMT", "version": "v3" } ]
2023-10-02
[ [ "Kostolányi", "Peter", "" ] ]
A finite automaton is called bideterministic if it is both deterministic and codeterministic -- that is, if it is deterministic and its transpose is deterministic as well. The study of such automata in a weighted setting is initiated. All trim bideterministic weighted automata over integral domains and over positive se...
2404.03899
Jinwook Kim
Hyunyoung Jang, Jinwook Kim, Jeongmi Lee
Effects of Multisensory Feedback on the Perception and Performance of Virtual Reality Hand-Retargeted Interaction
17 pages, 8 figures, 2 tables
null
null
null
cs.HC
http://creativecommons.org/licenses/by/4.0/
Retargeting methods that modify the visual representation of real movements have been widely used to expand the interaction space and create engaging virtual reality experiences. For optimal user experience and performance, it is essential to specify the perception of retargeting and utilize the appropriate range of ...
[ { "created": "Fri, 5 Apr 2024 05:44:11 GMT", "version": "v1" } ]
2024-04-08
[ [ "Jang", "Hyunyoung", "" ], [ "Kim", "Jinwook", "" ], [ "Lee", "Jeongmi", "" ] ]
Retargeting methods that modify the visual representation of real movements have been widely used to expand the interaction space and create engaging virtual reality experiences. For optimal user experience and performance, it is essential to specify the perception of retargeting and utilize the appropriate range of mo...
1703.07611
Georgios Zogopoulos-Papaliakos
Georgios Zogopoulos-Papaliakos, Kostas J. Kyriakopoulos
On the Selection of Calculable Residual Generators for UAV Fault Diagnosis
null
null
10.1109/MED.2016.7536003
null
cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Structural Analysis is an established method for Fault Detection and Identification (FDI) in large-scale systems, enabling the discovery of Analytical Redundancy Relations (ARRs) which serve as residual generators. However, most techniques used to enumerate ARRs do not specify the matching used to calculate each of t...
[ { "created": "Wed, 22 Mar 2017 12:01:09 GMT", "version": "v1" } ]
2017-03-23
[ [ "Zogopoulos-Papaliakos", "Georgios", "" ], [ "Kyriakopoulos", "Kostas J.", "" ] ]
Structural Analysis is an established method for Fault Detection and Identification (FDI) in large-scale systems, enabling the discovery of Analytical Redundancy Relations (ARRs) which serve as residual generators. However, most techniques used to enumerate ARRs do not specify the matching used to calculate each of tho...
1805.04625
Shun Watanabe
Himanshu Tyagi, Shun Watanabe
Strong Converse using Change of Measure Arguments
35 pages, no figure; v2 updated references
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The strong converse for a coding theorem shows that the optimal asymptotic rate possible with vanishing error cannot be improved by allowing a fixed error. Building on a method introduced by Gu and Effros for centralized coding problems, we develop a general and simple recipe for proving strong converse that is appli...
[ { "created": "Sat, 12 May 2018 00:34:37 GMT", "version": "v1" }, { "created": "Wed, 21 Aug 2019 14:13:36 GMT", "version": "v2" } ]
2019-08-22
[ [ "Tyagi", "Himanshu", "" ], [ "Watanabe", "Shun", "" ] ]
The strong converse for a coding theorem shows that the optimal asymptotic rate possible with vanishing error cannot be improved by allowing a fixed error. Building on a method introduced by Gu and Effros for centralized coding problems, we develop a general and simple recipe for proving strong converse that is applica...
1101.3220
Andreas Schenk
Andreas Schenk and Robert F.H. Fischer
Decision-Feedback Differential Detection in Impulse-Radio Ultra-Wideband Systems
Preprint of manuscript accepted for presentation in "IEEE Transactions on Communications"
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we present decision-feedback differential detection (DF-DD) schemes for autocorrelation-based detection in impulse-radio ultra-wideband (IR-UWB) systems, a signaling scheme regarded as a promising candidate in particular for low-complexity wireless sensor networks. To this end, we first discuss ideal no...
[ { "created": "Mon, 17 Jan 2011 14:08:26 GMT", "version": "v1" } ]
2011-01-18
[ [ "Schenk", "Andreas", "" ], [ "Fischer", "Robert F. H.", "" ] ]
In this paper we present decision-feedback differential detection (DF-DD) schemes for autocorrelation-based detection in impulse-radio ultra-wideband (IR-UWB) systems, a signaling scheme regarded as a promising candidate in particular for low-complexity wireless sensor networks. To this end, we first discuss ideal nonc...
1901.01255
Tolga Birdal
Tolga Birdal and Benjamin Busam and Nassir Navab and Slobodan Ilic and Peter Sturm
Generic Primitive Detection in Point Clouds Using Novel Minimal Quadric Fits
Submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI). arXiv admin note: substantial text overlap with arXiv:1803.07191
null
null
null
cs.CV cs.CG cs.GR cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a novel and effective method for detecting 3D primitives in cluttered, unorganized point clouds, without axillary segmentation or type specification. We consider the quadric surfaces for encapsulating the basic building blocks of our environments - planes, spheres, ellipsoids, cones or cylinders, in a unif...
[ { "created": "Fri, 4 Jan 2019 12:09:50 GMT", "version": "v1" } ]
2019-01-08
[ [ "Birdal", "Tolga", "" ], [ "Busam", "Benjamin", "" ], [ "Navab", "Nassir", "" ], [ "Ilic", "Slobodan", "" ], [ "Sturm", "Peter", "" ] ]
We present a novel and effective method for detecting 3D primitives in cluttered, unorganized point clouds, without axillary segmentation or type specification. We consider the quadric surfaces for encapsulating the basic building blocks of our environments - planes, spheres, ellipsoids, cones or cylinders, in a unifie...
2407.11902
Qi Li
Qi Li, Runpeng Yu, Xinchao Wang
Encapsulating Knowledge in One Prompt
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
This paradigm encapsulates knowledge from various models into a solitary prompt without altering the original models or requiring access to the training data, which enables us to achieve efficient and convenient knowledge transfer in more realistic scenarios. From a practicality standpoint, this paradigm not only for...
[ { "created": "Tue, 16 Jul 2024 16:35:23 GMT", "version": "v1" } ]
2024-07-17
[ [ "Li", "Qi", "" ], [ "Yu", "Runpeng", "" ], [ "Wang", "Xinchao", "" ] ]
This paradigm encapsulates knowledge from various models into a solitary prompt without altering the original models or requiring access to the training data, which enables us to achieve efficient and convenient knowledge transfer in more realistic scenarios. From a practicality standpoint, this paradigm not only for t...
2212.11726
David Kuric
David Kuric, Herke van Hoof
Reusable Options through Gradient-based Meta Learning
Published in Transactions on Machine Learning Research (TMLR)
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Hierarchical methods in reinforcement learning have the potential to reduce the amount of decisions that the agent needs to perform when learning new tasks. However, finding reusable useful temporal abstractions that facilitate fast learning remains a challenging problem. Recently, several deep learning approaches we...
[ { "created": "Thu, 22 Dec 2022 14:19:35 GMT", "version": "v1" }, { "created": "Tue, 4 Apr 2023 10:46:54 GMT", "version": "v2" } ]
2023-04-05
[ [ "Kuric", "David", "" ], [ "van Hoof", "Herke", "" ] ]
Hierarchical methods in reinforcement learning have the potential to reduce the amount of decisions that the agent needs to perform when learning new tasks. However, finding reusable useful temporal abstractions that facilitate fast learning remains a challenging problem. Recently, several deep learning approaches were...
1812.07129
Ashkan Ebadi
Ashkan Ebadi, Patrick J. Tighe, Lei Zhang, Parisa Rashidi
Does the Position of Surgical Service Providers in Intra-Operative Networks Matter? Analyzing the Impact of Influencing Factors on Patients' Outcome
17 pages, 3 Figures, 5 Tables PrePrint
null
null
null
cs.SI cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We analyzed the relation between surgical service providers' network structure and surgical team size with patient outcome during the operation. We did correlation analysis to evaluate the associations among the network structure measures in the intra-operative networks of surgical service providers. We focused on in...
[ { "created": "Tue, 18 Dec 2018 01:36:47 GMT", "version": "v1" } ]
2018-12-19
[ [ "Ebadi", "Ashkan", "" ], [ "Tighe", "Patrick J.", "" ], [ "Zhang", "Lei", "" ], [ "Rashidi", "Parisa", "" ] ]
We analyzed the relation between surgical service providers' network structure and surgical team size with patient outcome during the operation. We did correlation analysis to evaluate the associations among the network structure measures in the intra-operative networks of surgical service providers. We focused on intr...
2107.03506
Szymon Talaga
Agnieszka Rychwalska, Szymon Talaga, Karolina Ziembowicz, Dariusz Jemielniak
Communication networks and group effectiveness: the case of English Wikipedia
Preprint (before peer-review)
null
null
null
cs.SI
http://creativecommons.org/licenses/by/4.0/
A selection of intellectual goods produced by online communities - e.g. open source software or knowledge bases like Wikipedia - are in daily use by a broad audience, and thus their quality impacts the public at large. Yet, it is still unclear what contributes to the effectiveness of such online peer production syste...
[ { "created": "Wed, 7 Jul 2021 22:29:08 GMT", "version": "v1" } ]
2021-07-09
[ [ "Rychwalska", "Agnieszka", "" ], [ "Talaga", "Szymon", "" ], [ "Ziembowicz", "Karolina", "" ], [ "Jemielniak", "Dariusz", "" ] ]
A selection of intellectual goods produced by online communities - e.g. open source software or knowledge bases like Wikipedia - are in daily use by a broad audience, and thus their quality impacts the public at large. Yet, it is still unclear what contributes to the effectiveness of such online peer production systems...
2310.06904
Deepti Ghadiyaram
Piero Esposito, Parmida Atighehchian, Anastasis Germanidis and Deepti Ghadiyaram
Mitigating stereotypical biases in text to image generative systems
4 figures, 8 pages
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
State-of-the-art generative text-to-image models are known to exhibit social biases and over-represent certain groups like people of perceived lighter skin tones and men in their outcomes. In this work, we propose a method to mitigate such biases and ensure that the outcomes are fair across different groups of people...
[ { "created": "Tue, 10 Oct 2023 18:01:52 GMT", "version": "v1" } ]
2023-10-12
[ [ "Esposito", "Piero", "" ], [ "Atighehchian", "Parmida", "" ], [ "Germanidis", "Anastasis", "" ], [ "Ghadiyaram", "Deepti", "" ] ]
State-of-the-art generative text-to-image models are known to exhibit social biases and over-represent certain groups like people of perceived lighter skin tones and men in their outcomes. In this work, we propose a method to mitigate such biases and ensure that the outcomes are fair across different groups of people. ...
2407.11678
Luwei Sun
Luwei Sun, Dongrui Shen and Han Feng
Theoretical Insights into CycleGAN: Analyzing Approximation and Estimation Errors in Unpaired Data Generation
null
null
null
null
cs.LG math.ST stat.ML stat.TH
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we focus on analyzing the excess risk of the unpaired data generation model, called CycleGAN. Unlike classical GANs, CycleGAN not only transforms data between two unpaired distributions but also ensures the mappings are consistent, which is encouraged by the cycle-consistency term unique to CycleGAN. T...
[ { "created": "Tue, 16 Jul 2024 12:53:53 GMT", "version": "v1" } ]
2024-07-17
[ [ "Sun", "Luwei", "" ], [ "Shen", "Dongrui", "" ], [ "Feng", "Han", "" ] ]
In this paper, we focus on analyzing the excess risk of the unpaired data generation model, called CycleGAN. Unlike classical GANs, CycleGAN not only transforms data between two unpaired distributions but also ensures the mappings are consistent, which is encouraged by the cycle-consistency term unique to CycleGAN. The...
2204.05989
Sam Zhang
Sam Zhang, K. Hunter Wapman, Daniel B. Larremore, Aaron Clauset
Labor advantages drive the greater productivity of faculty at elite universities
22 pages, 11 figures
null
null
null
cs.DL
http://creativecommons.org/licenses/by-nc-nd/4.0/
Faculty at prestigious institutions dominate scientific discourse, with the small proportion of researchers at elite universities producing a disproportionate share of all research publications. Environmental prestige is known to drive such epistemic disparity, but the mechanisms by which it causes increased faculty ...
[ { "created": "Tue, 12 Apr 2022 17:55:09 GMT", "version": "v1" } ]
2022-04-13
[ [ "Zhang", "Sam", "" ], [ "Wapman", "K. Hunter", "" ], [ "Larremore", "Daniel B.", "" ], [ "Clauset", "Aaron", "" ] ]
Faculty at prestigious institutions dominate scientific discourse, with the small proportion of researchers at elite universities producing a disproportionate share of all research publications. Environmental prestige is known to drive such epistemic disparity, but the mechanisms by which it causes increased faculty pr...
2010.04466
Robert Tjarko Lange
Robert Tjarko Lange and Henning Sprekeler
Learning Not to Learn: Nature versus Nurture in Silico
null
null
null
null
cs.LG cs.AI cs.NE q-bio.NC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Animals are equipped with a rich innate repertoire of sensory, behavioral and motor skills, which allows them to interact with the world immediately after birth. At the same time, many behaviors are highly adaptive and can be tailored to specific environments by means of learning. In this work, we use mathematical an...
[ { "created": "Fri, 9 Oct 2020 09:47:40 GMT", "version": "v1" }, { "created": "Thu, 4 Mar 2021 11:27:16 GMT", "version": "v2" }, { "created": "Sun, 1 May 2022 08:38:27 GMT", "version": "v3" } ]
2022-05-03
[ [ "Lange", "Robert Tjarko", "" ], [ "Sprekeler", "Henning", "" ] ]
Animals are equipped with a rich innate repertoire of sensory, behavioral and motor skills, which allows them to interact with the world immediately after birth. At the same time, many behaviors are highly adaptive and can be tailored to specific environments by means of learning. In this work, we use mathematical anal...
2106.03804
Daniel Rebain
Daniel Rebain, Ke Li, Vincent Sitzmann, Soroosh Yazdani, Kwang Moo Yi, Andrea Tagliasacchi
Deep Medial Fields
null
null
null
null
cs.GR cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Implicit representations of geometry, such as occupancy fields or signed distance fields (SDF), have recently re-gained popularity in encoding 3D solid shape in a functional form. In this work, we introduce medial fields: a field function derived from the medial axis transform (MAT) that makes available information a...
[ { "created": "Mon, 7 Jun 2021 17:15:38 GMT", "version": "v1" } ]
2021-06-08
[ [ "Rebain", "Daniel", "" ], [ "Li", "Ke", "" ], [ "Sitzmann", "Vincent", "" ], [ "Yazdani", "Soroosh", "" ], [ "Yi", "Kwang Moo", "" ], [ "Tagliasacchi", "Andrea", "" ] ]
Implicit representations of geometry, such as occupancy fields or signed distance fields (SDF), have recently re-gained popularity in encoding 3D solid shape in a functional form. In this work, we introduce medial fields: a field function derived from the medial axis transform (MAT) that makes available information abo...
2206.08257
Amirhossein Reisizadeh
Romain Cosson, Ali Jadbabaie, Anuran Makur, Amirhossein Reisizadeh, Devavrat Shah
Gradient Descent for Low-Rank Functions
26 pages, 2 figures
null
null
null
cs.LG math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Several recent empirical studies demonstrate that important machine learning tasks, e.g., training deep neural networks, exhibit low-rank structure, where the loss function varies significantly in only a few directions of the input space. In this paper, we leverage such low-rank structure to reduce the high computati...
[ { "created": "Thu, 16 Jun 2022 15:58:05 GMT", "version": "v1" } ]
2022-06-17
[ [ "Cosson", "Romain", "" ], [ "Jadbabaie", "Ali", "" ], [ "Makur", "Anuran", "" ], [ "Reisizadeh", "Amirhossein", "" ], [ "Shah", "Devavrat", "" ] ]
Several recent empirical studies demonstrate that important machine learning tasks, e.g., training deep neural networks, exhibit low-rank structure, where the loss function varies significantly in only a few directions of the input space. In this paper, we leverage such low-rank structure to reduce the high computation...
1705.10664
Jiaji Zhou
Jiaji Zhou, J. Andrew Bagnell and Matthew T. Mason
A Fast Stochastic Contact Model for Planar Pushing and Grasping: Theory and Experimental Validation
Robotics: Science and Systems 2017
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Based on the convex force-motion polynomial model for quasi-static sliding, we derive the kinematic contact model to determine the contact modes and instantaneous object motion on a supporting surface given a position controlled manipulator. The inherently stochastic object-to-surface friction distribution is modelle...
[ { "created": "Tue, 30 May 2017 14:21:28 GMT", "version": "v1" } ]
2017-05-31
[ [ "Zhou", "Jiaji", "" ], [ "Bagnell", "J. Andrew", "" ], [ "Mason", "Matthew T.", "" ] ]
Based on the convex force-motion polynomial model for quasi-static sliding, we derive the kinematic contact model to determine the contact modes and instantaneous object motion on a supporting surface given a position controlled manipulator. The inherently stochastic object-to-surface friction distribution is modelled ...
2008.04717
Lukas Holzbaur
Lukas Holzbaur, Rina Polyanskaya, Nikita Polyanskii, Ilya Vorobyev and Eitan Yaakobi
Lifted Multiplicity Codes
null
null
null
null
cs.IT cs.DM math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Lifted Reed-Solomon codes and multiplicity codes are two classes of evaluation codes that allow for the design of high-rate codes that can recover every codeword or information symbol from many disjoint sets. Recently, the underlying approaches have been combined to construct lifted bi-variate multiplicity codes, tha...
[ { "created": "Tue, 11 Aug 2020 14:24:52 GMT", "version": "v1" }, { "created": "Thu, 29 Oct 2020 14:41:53 GMT", "version": "v2" } ]
2020-10-30
[ [ "Holzbaur", "Lukas", "" ], [ "Polyanskaya", "Rina", "" ], [ "Polyanskii", "Nikita", "" ], [ "Vorobyev", "Ilya", "" ], [ "Yaakobi", "Eitan", "" ] ]
Lifted Reed-Solomon codes and multiplicity codes are two classes of evaluation codes that allow for the design of high-rate codes that can recover every codeword or information symbol from many disjoint sets. Recently, the underlying approaches have been combined to construct lifted bi-variate multiplicity codes, that ...
1909.05663
Riccardo La Grassa
Ignazio Gallo, Shah Nawaz, Alessandro Calefati, Riccardo La Grassa, Nicola Landro
Picture What you Read
7 pages, Dicta2019 conference
null
null
null
cs.CV cs.AI
http://creativecommons.org/licenses/by/4.0/
Visualization refers to our ability to create an image in our head based on the text we read or the words we hear. It is one of the many skills that makes reading comprehension possible. Convolutional Neural Networks (CNN) are an excellent tool for recognizing and classifying text documents. In addition, it can gener...
[ { "created": "Mon, 9 Sep 2019 11:26:35 GMT", "version": "v1" } ]
2019-09-13
[ [ "Gallo", "Ignazio", "" ], [ "Nawaz", "Shah", "" ], [ "Calefati", "Alessandro", "" ], [ "La Grassa", "Riccardo", "" ], [ "Landro", "Nicola", "" ] ]
Visualization refers to our ability to create an image in our head based on the text we read or the words we hear. It is one of the many skills that makes reading comprehension possible. Convolutional Neural Networks (CNN) are an excellent tool for recognizing and classifying text documents. In addition, it can generat...
1606.05830
Cesar Cadena
Cesar Cadena, Luca Carlone, Henry Carrillo, Yasir Latif, Davide Scaramuzza, Jose Neira, Ian Reid, John J. Leonard
Past, Present, and Future of Simultaneous Localization And Mapping: Towards the Robust-Perception Age
null
IEEE Transactions on Robotics 32 (6) pp 1309-1332, 2016
10.1109/TRO.2016.2624754
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Simultaneous Localization and Mapping (SLAM)consists in the concurrent construction of a model of the environment (the map), and the estimation of the state of the robot moving within it. The SLAM community has made astonishing progress over the last 30 years, enabling large-scale real-world applications, and witness...
[ { "created": "Sun, 19 Jun 2016 03:23:53 GMT", "version": "v1" }, { "created": "Wed, 20 Jul 2016 06:32:40 GMT", "version": "v2" }, { "created": "Wed, 23 Nov 2016 15:07:09 GMT", "version": "v3" }, { "created": "Mon, 30 Jan 2017 12:05:48 GMT", "version": "v4" } ]
2017-01-31
[ [ "Cadena", "Cesar", "" ], [ "Carlone", "Luca", "" ], [ "Carrillo", "Henry", "" ], [ "Latif", "Yasir", "" ], [ "Scaramuzza", "Davide", "" ], [ "Neira", "Jose", "" ], [ "Reid", "Ian", "" ], [ "Leonard"...
Simultaneous Localization and Mapping (SLAM)consists in the concurrent construction of a model of the environment (the map), and the estimation of the state of the robot moving within it. The SLAM community has made astonishing progress over the last 30 years, enabling large-scale real-world applications, and witnessin...
1802.07440
Telikepalli Kavitha
Telikepalli Kavitha
Max-size popular matchings and extensions
26 pages, 10 figures
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider the max-size popular matching problem in a roommates instance G = (V,E) with strict preference lists. A matching M is popular if there is no matching M' in G such that the vertices that prefer M' to M outnumber those that prefer M to M'. We show it is NP-hard to compute a max-size popular matching in G. T...
[ { "created": "Wed, 21 Feb 2018 06:43:21 GMT", "version": "v1" } ]
2018-02-22
[ [ "Kavitha", "Telikepalli", "" ] ]
We consider the max-size popular matching problem in a roommates instance G = (V,E) with strict preference lists. A matching M is popular if there is no matching M' in G such that the vertices that prefer M' to M outnumber those that prefer M to M'. We show it is NP-hard to compute a max-size popular matching in G. Thi...
cs/0608035
Kohei Suenaga
Naoki Kobayashi, Kohei Suenaga, and Lucian Wischik
Resource Usage Analysis for the Pi-Calculus
null
Logical Methods in Computer Science, Volume 2, Issue 3 (September 13, 2006) lmcs:2246
10.2168/LMCS-2(3:4)2006
null
cs.PL cs.LO
null
We propose a type-based resource usage analysis for the π-calculus extended with resource creation/access primitives. The goal of the resource usage analysis is to statically check that a program accesses resources such as files and memory in a valid manner. Our type system is an extension of previous behavioral...
[ { "created": "Mon, 7 Aug 2006 05:22:42 GMT", "version": "v1" }, { "created": "Wed, 13 Sep 2006 11:05:09 GMT", "version": "v2" } ]
2017-01-11
[ [ "Kobayashi", "Naoki", "" ], [ "Suenaga", "Kohei", "" ], [ "Wischik", "Lucian", "" ] ]
We propose a type-based resource usage analysis for the π-calculus extended with resource creation/access primitives. The goal of the resource usage analysis is to statically check that a program accesses resources such as files and memory in a valid manner. Our type system is an extension of previous behavioral t...
2107.09283
Hyunji Chung
Jungheum Park, Hyunji Chung
Toward Trustworthy Urban IT Systems: The Bright and Dark Sides of Smart City Development
1 figure
null
null
null
cs.CY
http://creativecommons.org/publicdomain/zero/1.0/
In smart cities built on information and communication technology, citizens and various IT systems interoperate in harmony. Cloud computing and Internet-of-Things technologies that have been developed for a long time are making modern cities smarter. Smart cities can have a positive impact on citizens, but they can a...
[ { "created": "Tue, 20 Jul 2021 06:54:08 GMT", "version": "v1" } ]
2021-07-21
[ [ "Park", "Jungheum", "" ], [ "Chung", "Hyunji", "" ] ]
In smart cities built on information and communication technology, citizens and various IT systems interoperate in harmony. Cloud computing and Internet-of-Things technologies that have been developed for a long time are making modern cities smarter. Smart cities can have a positive impact on citizens, but they can als...
1612.09134
Antonio Manuel Lopez Pe\~na
Antonio M. Lopez, Jiaolong Xu, Jose L. Gomez, David Vazquez, German Ros
From Virtual to Real World Visual Perception using Domain Adaptation -- The DPM as Example
Invited book chapter to appear in "Domain Adaptation in Computer Vision Applications", Springer Series: Advances in Computer Vision and Pattern Recognition, Edited by Gabriela Csurka
null
null
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Supervised learning tends to produce more accurate classifiers than unsupervised learning in general. This implies that training data is preferred with annotations. When addressing visual perception challenges, such as localizing certain object classes within an image, the learning of the involved classifiers turns o...
[ { "created": "Thu, 29 Dec 2016 13:16:22 GMT", "version": "v1" } ]
2016-12-30
[ [ "Lopez", "Antonio M.", "" ], [ "Xu", "Jiaolong", "" ], [ "Gomez", "Jose L.", "" ], [ "Vazquez", "David", "" ], [ "Ros", "German", "" ] ]
Supervised learning tends to produce more accurate classifiers than unsupervised learning in general. This implies that training data is preferred with annotations. When addressing visual perception challenges, such as localizing certain object classes within an image, the learning of the involved classifiers turns out...