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2111.08455
Shoufeng Cao Dr.
Shoufeng Cao, Thomas Miller, Marcus Foth, Warwick Powell, Xavier Boyen, Charles Turner-Morris
Integrating On-chain and Off-chain Governance for Supply Chain Transparency and Integrity
The 5th Symposium on Distributed Ledger Technology
Proc. 5th Symp. Distributed Ledger Technology, Brisbane, Australia, 23 Nov 2021
null
null
cs.CR
http://creativecommons.org/licenses/by-nc-sa/4.0/
Integrating on-chain and off-chain data storage for decentralised and distributed information systems, such as blockchain, presents specific challenges for providing transparency of data governance and ensuring data integrity through stakeholder engagement. Current research on blockchain-based supply chains focuses o...
[ { "created": "Thu, 11 Nov 2021 05:23:40 GMT", "version": "v1" } ]
2022-07-04
[ [ "Cao", "Shoufeng", "" ], [ "Miller", "Thomas", "" ], [ "Foth", "Marcus", "" ], [ "Powell", "Warwick", "" ], [ "Boyen", "Xavier", "" ], [ "Turner-Morris", "Charles", "" ] ]
Integrating on-chain and off-chain data storage for decentralised and distributed information systems, such as blockchain, presents specific challenges for providing transparency of data governance and ensuring data integrity through stakeholder engagement. Current research on blockchain-based supply chains focuses on ...
2104.06374
Aly El Gamal
Ahmed P. Mohamed, Abu Shafin Mohammad Mahdee Jameel, Aly El Gamal
Knowledge Distillation For Wireless Edge Learning
5 pages, 6 figures
null
null
null
cs.NI cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we propose a framework for predicting frame errors in the collaborative spectrally congested wireless environments of the DARPA Spectrum Collaboration Challenge (SC2) via a recently collected dataset. We employ distributed deep edge learning that is shared among edge nodes and a central cloud. Using th...
[ { "created": "Sat, 3 Apr 2021 22:20:08 GMT", "version": "v1" } ]
2021-04-14
[ [ "Mohamed", "Ahmed P.", "" ], [ "Jameel", "Abu Shafin Mohammad Mahdee", "" ], [ "Gamal", "Aly El", "" ] ]
In this paper, we propose a framework for predicting frame errors in the collaborative spectrally congested wireless environments of the DARPA Spectrum Collaboration Challenge (SC2) via a recently collected dataset. We employ distributed deep edge learning that is shared among edge nodes and a central cloud. Using this...
2107.04770
Sohei Itahara
Tomoya Sunami, Sohei Itahara, Yusuke Koda, Takayuki Nishio, and Koji Yamamoto
Computer Vision-assisted Single-antenna and Single-anchor RSSI Localization Harnessing Dynamic Blockage Events
Submitted to IEEE Internet of Things journal
null
null
null
cs.MM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper demonstrates the feasibility of single-antenna and single-RF (radio frequency)- anchor received power strength indicator (RSSI) localization (SARR-LOC) with the assistance of the computer vision (CV) technique. Generally, to perform radio frequency (RF)-based device localization, either 1) fine-grained cha...
[ { "created": "Sat, 10 Jul 2021 06:23:39 GMT", "version": "v1" }, { "created": "Tue, 14 Sep 2021 05:03:41 GMT", "version": "v2" }, { "created": "Wed, 27 Oct 2021 08:18:07 GMT", "version": "v3" }, { "created": "Mon, 6 Dec 2021 09:13:37 GMT", "version": "v4" } ]
2021-12-07
[ [ "Sunami", "Tomoya", "" ], [ "Itahara", "Sohei", "" ], [ "Koda", "Yusuke", "" ], [ "Nishio", "Takayuki", "" ], [ "Yamamoto", "Koji", "" ] ]
This paper demonstrates the feasibility of single-antenna and single-RF (radio frequency)- anchor received power strength indicator (RSSI) localization (SARR-LOC) with the assistance of the computer vision (CV) technique. Generally, to perform radio frequency (RF)-based device localization, either 1) fine-grained chann...
2309.10187
Madeleine Daepp
Alejandro Cuevas Villalba, Eva M. Brown, Jennifer V. Scurrell, Jason Entenmann, Madeleine I. G. Daepp
Automated Interviewer or Augmented Survey? Collecting Social Data with Large Language Models
null
null
null
null
cs.HC
http://creativecommons.org/licenses/by/4.0/
Qualitative methods like interviews produce richer data in comparison with quantitative surveys, but are difficult to scale. Switching from web-based questionnaires to interactive chatbots offers a compromise, improving user engagement and response quality. Uptake remains limited, however, because of differences in u...
[ { "created": "Mon, 18 Sep 2023 22:30:52 GMT", "version": "v1" }, { "created": "Tue, 10 Oct 2023 21:45:04 GMT", "version": "v2" } ]
2023-10-12
[ [ "Villalba", "Alejandro Cuevas", "" ], [ "Brown", "Eva M.", "" ], [ "Scurrell", "Jennifer V.", "" ], [ "Entenmann", "Jason", "" ], [ "Daepp", "Madeleine I. G.", "" ] ]
Qualitative methods like interviews produce richer data in comparison with quantitative surveys, but are difficult to scale. Switching from web-based questionnaires to interactive chatbots offers a compromise, improving user engagement and response quality. Uptake remains limited, however, because of differences in use...
2402.18182
Yves Vincent Grossmann
Martin Boosen, Michael Franke, Yves Vincent Grossmann, Sy Dat Ho, Larissa Leiminger, Jan Matthiesen
Handling Open Research Data within the Max Planck Society -- Looking Closer at the Year 2020
null
null
null
null
cs.DL
http://creativecommons.org/licenses/by/4.0/
This paper analyses the practice of publishing research data within the Max Planck Society in the year 2020. The central finding of the study is that up to 40\% of the empirical text publications had research data available. The aggregation of the available data is predominantly analysed. There are differences betwee...
[ { "created": "Wed, 28 Feb 2024 09:15:01 GMT", "version": "v1" } ]
2024-02-29
[ [ "Boosen", "Martin", "" ], [ "Franke", "Michael", "" ], [ "Grossmann", "Yves Vincent", "" ], [ "Ho", "Sy Dat", "" ], [ "Leiminger", "Larissa", "" ], [ "Matthiesen", "Jan", "" ] ]
This paper analyses the practice of publishing research data within the Max Planck Society in the year 2020. The central finding of the study is that up to 40\% of the empirical text publications had research data available. The aggregation of the available data is predominantly analysed. There are differences between ...
2005.06423
Yingxue Xu
Yingxue Xu, Guihua Wen, Yang Hu, Mingnan Luo, Dan Dai, Yishan Zhuang and Wendy Hall
Multiple Attentional Pyramid Networks for Chinese Herbal Recognition
14 pages, 8 figures
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Chinese herbs play a critical role in Traditional Chinese Medicine. Due to different recognition granularity, they can be recognized accurately only by professionals with much experience. It is expected that they can be recognized automatically using new techniques like machine learning. However, there is no Chinese ...
[ { "created": "Wed, 13 May 2020 16:55:01 GMT", "version": "v1" } ]
2020-05-14
[ [ "Xu", "Yingxue", "" ], [ "Wen", "Guihua", "" ], [ "Hu", "Yang", "" ], [ "Luo", "Mingnan", "" ], [ "Dai", "Dan", "" ], [ "Zhuang", "Yishan", "" ], [ "Hall", "Wendy", "" ] ]
Chinese herbs play a critical role in Traditional Chinese Medicine. Due to different recognition granularity, they can be recognized accurately only by professionals with much experience. It is expected that they can be recognized automatically using new techniques like machine learning. However, there is no Chinese he...
1403.1343
Mark Simkin
Mark Simkin and Dominique Schroeder and Andreas Bulling and Mario Fritz
Ubic: Bridging the gap between digital cryptography and the physical world
In ESORICS 2014, volume 8712 of Lecture Notes in Computer Science, pp. 56-75, Wroclaw, Poland, September 7-11, 2014. Springer, Berlin, Germany
null
null
null
cs.CR cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Advances in computing technology increasingly blur the boundary between the digital domain and the physical world. Although the research community has developed a large number of cryptographic primitives and has demonstrated their usability in all-digital communication, many of them have not yet made their way into t...
[ { "created": "Thu, 6 Mar 2014 04:35:45 GMT", "version": "v1" }, { "created": "Tue, 1 Apr 2014 11:58:25 GMT", "version": "v2" }, { "created": "Thu, 24 Jul 2014 13:37:03 GMT", "version": "v3" } ]
2014-07-25
[ [ "Simkin", "Mark", "" ], [ "Schroeder", "Dominique", "" ], [ "Bulling", "Andreas", "" ], [ "Fritz", "Mario", "" ] ]
Advances in computing technology increasingly blur the boundary between the digital domain and the physical world. Although the research community has developed a large number of cryptographic primitives and has demonstrated their usability in all-digital communication, many of them have not yet made their way into the...
1601.05384
Pedro Gonnet
Pedro Gonnet, Aidan B. G. Chalk and Matthieu Schaller
QuickSched: Task-based parallelism with dependencies and conflicts
null
null
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper describes QuickSched, a compact and efficient Open-Source C-language library for task-based shared-memory parallel programming. QuickSched extends the standard dependency-only scheme of task-based programming with the concept of task conflicts, i.e.~sets of tasks that can be executed in any order, yet not ...
[ { "created": "Wed, 20 Jan 2016 19:41:17 GMT", "version": "v1" } ]
2016-01-21
[ [ "Gonnet", "Pedro", "" ], [ "Chalk", "Aidan B. G.", "" ], [ "Schaller", "Matthieu", "" ] ]
This paper describes QuickSched, a compact and efficient Open-Source C-language library for task-based shared-memory parallel programming. QuickSched extends the standard dependency-only scheme of task-based programming with the concept of task conflicts, i.e.~sets of tasks that can be executed in any order, yet not co...
1805.00606
Milad Siami
Milad Siami, Alex Olshevsky, and Ali Jadbabaie
Deterministic and Randomized Actuator Scheduling With Guaranteed Performance Bounds
null
null
null
null
cs.SY math.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we investigate the problem of actuator selection for linear dynamical systems. We develop a framework to design a sparse actuator schedule for a given large-scale linear system with guaranteed performance bounds using deterministic polynomial-time and randomized approximately linear-time algorithms. Fi...
[ { "created": "Wed, 2 May 2018 02:48:58 GMT", "version": "v1" }, { "created": "Wed, 3 Jun 2020 17:06:05 GMT", "version": "v2" } ]
2020-06-04
[ [ "Siami", "Milad", "" ], [ "Olshevsky", "Alex", "" ], [ "Jadbabaie", "Ali", "" ] ]
In this paper, we investigate the problem of actuator selection for linear dynamical systems. We develop a framework to design a sparse actuator schedule for a given large-scale linear system with guaranteed performance bounds using deterministic polynomial-time and randomized approximately linear-time algorithms. Firs...
2407.06303
Ahmed Maged
Ahmed Maged and Herman Shen
Unsupervised Fault Detection using SAM with a Moving Window Approach
null
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Automated f ault detection and monitoring in engineering are critical but frequently difficult owing to the necessity for collecting and labeling large amounts of defective samples . We present an unsupervised method that uses the high end Segment Anything Model (SAM) and a moving window approach. SAM has gained reco...
[ { "created": "Mon, 8 Jul 2024 18:12:29 GMT", "version": "v1" } ]
2024-07-10
[ [ "Maged", "Ahmed", "" ], [ "Shen", "Herman", "" ] ]
Automated f ault detection and monitoring in engineering are critical but frequently difficult owing to the necessity for collecting and labeling large amounts of defective samples . We present an unsupervised method that uses the high end Segment Anything Model (SAM) and a moving window approach. SAM has gained recogn...
1703.10105
Mansaf Alam Dr
Kashish Ara Shakil, Ari Ora, Mansaf Alam and Shabih Shakeel
Exploiting Data Reduction Principles in Cloud-Based Data Management for Cryo-Image Data
null
null
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Cloud computing is a cost-effective way for start-up life sciences laboratories to store and manage their data. However, in many instances the data stored over the cloud could be redundant which makes cloud-based data management inefficient and costly because one has to pay for every byte of data stored over the clou...
[ { "created": "Tue, 28 Mar 2017 11:26:48 GMT", "version": "v1" } ]
2017-03-30
[ [ "Shakil", "Kashish Ara", "" ], [ "Ora", "Ari", "" ], [ "Alam", "Mansaf", "" ], [ "Shakeel", "Shabih", "" ] ]
Cloud computing is a cost-effective way for start-up life sciences laboratories to store and manage their data. However, in many instances the data stored over the cloud could be redundant which makes cloud-based data management inefficient and costly because one has to pay for every byte of data stored over the cloud....
1905.08997
Xianmin Lin
Hongchao Li, Xianmin Lin, Aihua Zheng, Chenglong Li, Bin Luo, Ran He, and Amir Hussain
Attributes Guided Feature Learning for Vehicle Re-identification
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Vehicle Re-ID has recently attracted enthusiastic attention due to its potential applications in smart city and urban surveillance. However, it suffers from large intra-class variation caused by view variations and illumination changes, and inter-class similarity especially for different identities with the similar a...
[ { "created": "Wed, 22 May 2019 07:42:02 GMT", "version": "v1" }, { "created": "Wed, 10 Nov 2021 12:01:58 GMT", "version": "v2" } ]
2021-11-11
[ [ "Li", "Hongchao", "" ], [ "Lin", "Xianmin", "" ], [ "Zheng", "Aihua", "" ], [ "Li", "Chenglong", "" ], [ "Luo", "Bin", "" ], [ "He", "Ran", "" ], [ "Hussain", "Amir", "" ] ]
Vehicle Re-ID has recently attracted enthusiastic attention due to its potential applications in smart city and urban surveillance. However, it suffers from large intra-class variation caused by view variations and illumination changes, and inter-class similarity especially for different identities with the similar app...
2304.13867
Yifan Jiang
Yifan Jiang, Filip Ilievski, Kaixin Ma
Transferring Procedural Knowledge across Commonsense Tasks
null
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Stories about everyday situations are an essential part of human communication, motivating the need to develop AI agents that can reliably understand these stories. Despite the long list of supervised methods for story completion and procedural understanding, current AI has no mechanisms to automatically track and ex...
[ { "created": "Wed, 26 Apr 2023 23:24:50 GMT", "version": "v1" }, { "created": "Thu, 27 Jul 2023 21:56:30 GMT", "version": "v2" }, { "created": "Mon, 20 Nov 2023 04:09:25 GMT", "version": "v3" } ]
2023-11-21
[ [ "Jiang", "Yifan", "" ], [ "Ilievski", "Filip", "" ], [ "Ma", "Kaixin", "" ] ]
Stories about everyday situations are an essential part of human communication, motivating the need to develop AI agents that can reliably understand these stories. Despite the long list of supervised methods for story completion and procedural understanding, current AI has no mechanisms to automatically track and expl...
1706.06511
Nathaniel Rodriguez
Nathaniel Rodriguez, Eduardo Izquierdo, Yong-Yeol Ahn
Optimal modularity and memory capacity of neural reservoirs
null
null
10.1162/netn_a_00082
null
cs.NE cs.AI physics.bio-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The neural network is a powerful computing framework that has been exploited by biological evolution and by humans for solving diverse problems. Although the computational capabilities of neural networks are determined by their structure, the current understanding of the relationships between a neural network's archi...
[ { "created": "Tue, 20 Jun 2017 15:17:37 GMT", "version": "v1" }, { "created": "Mon, 2 Oct 2017 22:45:53 GMT", "version": "v2" }, { "created": "Tue, 26 Mar 2019 01:57:17 GMT", "version": "v3" } ]
2019-03-27
[ [ "Rodriguez", "Nathaniel", "" ], [ "Izquierdo", "Eduardo", "" ], [ "Ahn", "Yong-Yeol", "" ] ]
The neural network is a powerful computing framework that has been exploited by biological evolution and by humans for solving diverse problems. Although the computational capabilities of neural networks are determined by their structure, the current understanding of the relationships between a neural network's archite...
0910.1901
Christian Attiogbe
Christian Attiogbe (LINA)
Can Component/Service-Based Systems Be Proved Correct?
16 pages
Conference on Current Trends in Theory and Practice of Computer Science, Czech Republic, Spindleruv Ml\'yn, : Czech Republic (2009)
10.1007/978-3-540-95891-8_2
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Component-oriented and service-oriented approaches have gained a strong enthusiasm in industries and academia with a particular interest for service-oriented approaches. A component is a software entity with given functionalities, made available by a provider, and used to build other application within which it is in...
[ { "created": "Sat, 10 Oct 2009 06:33:39 GMT", "version": "v1" } ]
2009-10-13
[ [ "Attiogbe", "Christian", "", "LINA" ] ]
Component-oriented and service-oriented approaches have gained a strong enthusiasm in industries and academia with a particular interest for service-oriented approaches. A component is a software entity with given functionalities, made available by a provider, and used to build other application within which it is inte...
1908.06242
Shinsaku Sakaue
Shinsaku Sakaue
Guarantees of Stochastic Greedy Algorithms for Non-monotone Submodular Maximization with Cardinality Constraint
null
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Submodular maximization with a cardinality constraint can model various problems, and those problems are often very large in practice. For the case where objective functions are monotone, many fast approximation algorithms have been developed. The stochastic greedy algorithm (SG) is one such algorithm, which is widel...
[ { "created": "Sat, 17 Aug 2019 04:50:57 GMT", "version": "v1" }, { "created": "Tue, 20 Aug 2019 01:43:30 GMT", "version": "v2" }, { "created": "Thu, 3 Oct 2019 03:13:54 GMT", "version": "v3" }, { "created": "Tue, 17 Dec 2019 06:46:51 GMT", "version": "v4" }, { "cr...
2020-01-13
[ [ "Sakaue", "Shinsaku", "" ] ]
Submodular maximization with a cardinality constraint can model various problems, and those problems are often very large in practice. For the case where objective functions are monotone, many fast approximation algorithms have been developed. The stochastic greedy algorithm (SG) is one such algorithm, which is widely ...
1906.04051
Nikolaos Cheimarios
E.I. Ioannidis, N. Cheimarios, A.N. Spyropoulos, A.G. Boudouvis
On the performance of various parallel GMRES implementations on CPU and GPU clusters
null
null
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
As the need for computational power and efficiency rises, parallel systems become increasingly popular among various scientific fields. While multiple core-based architectures have been the center of attention for many years, the rapid development of general purposes GPU-based architectures takes high performance com...
[ { "created": "Mon, 10 Jun 2019 14:57:30 GMT", "version": "v1" } ]
2019-06-11
[ [ "Ioannidis", "E. I.", "" ], [ "Cheimarios", "N.", "" ], [ "Spyropoulos", "A. N.", "" ], [ "Boudouvis", "A. G.", "" ] ]
As the need for computational power and efficiency rises, parallel systems become increasingly popular among various scientific fields. While multiple core-based architectures have been the center of attention for many years, the rapid development of general purposes GPU-based architectures takes high performance compu...
1510.04039
Nadine Kroher
Nadine Kroher, Emilia G\'omez
Automatic Transcription of Flamenco Singing from Polyphonic Music Recordings
Submitted to the IEEE Transactions on Audio, Speech and Language Processing
null
10.1109/TASLP.2016.2531284
null
cs.SD cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Automatic note-level transcription is considered one of the most challenging tasks in music information retrieval. The specific case of flamenco singing transcription poses a particular challenge due to its complex melodic progressions, intonation inaccuracies, the use of a high degree of ornamentation and the presen...
[ { "created": "Wed, 14 Oct 2015 10:53:00 GMT", "version": "v1" } ]
2016-11-17
[ [ "Kroher", "Nadine", "" ], [ "Gómez", "Emilia", "" ] ]
Automatic note-level transcription is considered one of the most challenging tasks in music information retrieval. The specific case of flamenco singing transcription poses a particular challenge due to its complex melodic progressions, intonation inaccuracies, the use of a high degree of ornamentation and the presence...
1906.04375
Yuxin Peng
Junchao Zhang and Yuxin Peng
Object-aware Aggregation with Bidirectional Temporal Graph for Video Captioning
10 pages, accepted by IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Video captioning aims to automatically generate natural language descriptions of video content, which has drawn a lot of attention recent years. Generating accurate and fine-grained captions needs to not only understand the global content of video, but also capture the detailed object information. Meanwhile, video re...
[ { "created": "Tue, 11 Jun 2019 03:35:25 GMT", "version": "v1" } ]
2019-06-12
[ [ "Zhang", "Junchao", "" ], [ "Peng", "Yuxin", "" ] ]
Video captioning aims to automatically generate natural language descriptions of video content, which has drawn a lot of attention recent years. Generating accurate and fine-grained captions needs to not only understand the global content of video, but also capture the detailed object information. Meanwhile, video repr...
2205.03313
Danae Sanchez Villegas
Xiao Ao, Danae S\'anchez Villegas, Daniel Preo\c{t}iuc-Pietro, Nikolaos Aletras
Combining Humor and Sarcasm for Improving Political Parody Detection
Accepted at NAACL 2022
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Parody is a figurative device used for mimicking entities for comedic or critical purposes. Parody is intentionally humorous and often involves sarcasm. This paper explores jointly modelling these figurative tropes with the goal of improving performance of political parody detection in tweets. To this end, we present...
[ { "created": "Fri, 6 May 2022 15:48:22 GMT", "version": "v1" } ]
2022-05-09
[ [ "Ao", "Xiao", "" ], [ "Villegas", "Danae Sánchez", "" ], [ "Preoţiuc-Pietro", "Daniel", "" ], [ "Aletras", "Nikolaos", "" ] ]
Parody is a figurative device used for mimicking entities for comedic or critical purposes. Parody is intentionally humorous and often involves sarcasm. This paper explores jointly modelling these figurative tropes with the goal of improving performance of political parody detection in tweets. To this end, we present a...
1912.02598
Bo Luo
Bo Luo and Qiang Xu
Region-Wise Attack: On Efficient Generation of Robust Physical Adversarial Examples
null
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep neural networks (DNNs) are shown to be susceptible to adversarial example attacks. Most existing works achieve this malicious objective by crafting subtle pixel-wise perturbations, and they are difficult to launch in the physical world due to inevitable transformations (e.g., different photographic distances and...
[ { "created": "Thu, 5 Dec 2019 14:38:00 GMT", "version": "v1" }, { "created": "Fri, 28 Aug 2020 10:30:15 GMT", "version": "v2" } ]
2020-08-31
[ [ "Luo", "Bo", "" ], [ "Xu", "Qiang", "" ] ]
Deep neural networks (DNNs) are shown to be susceptible to adversarial example attacks. Most existing works achieve this malicious objective by crafting subtle pixel-wise perturbations, and they are difficult to launch in the physical world due to inevitable transformations (e.g., different photographic distances and a...
2005.11422
Khushboo Thaker
Mengdi Wang, Hung Chau, Khushboo Thaker, Peter Brusilovsky, Daqing He
Concept Annotation for Intelligent Textbooks
null
null
null
null
cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With the increased popularity of electronic textbooks, there is a growing interests in developing a new generation of "intelligent textbooks", which have the ability to guide the readers according to their learning goals and current knowledge. The intelligent textbooks extend regular textbooks by integrating machine-...
[ { "created": "Fri, 22 May 2020 23:30:37 GMT", "version": "v1" }, { "created": "Tue, 26 May 2020 03:34:40 GMT", "version": "v2" }, { "created": "Wed, 10 Jun 2020 01:07:44 GMT", "version": "v3" } ]
2020-06-11
[ [ "Wang", "Mengdi", "" ], [ "Chau", "Hung", "" ], [ "Thaker", "Khushboo", "" ], [ "Brusilovsky", "Peter", "" ], [ "He", "Daqing", "" ] ]
With the increased popularity of electronic textbooks, there is a growing interests in developing a new generation of "intelligent textbooks", which have the ability to guide the readers according to their learning goals and current knowledge. The intelligent textbooks extend regular textbooks by integrating machine-ma...
1001.0143
Gheorghe Stefanescu
Alexandru Sofronia and Alexandru Popa and Gheorghe Stefanescu
Undecidability Results for Finite Interactive Systems
null
Romanian Journal of Information Science and Technology, Volume 12 (2009), pp. 265-279
null
null
cs.FL cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A new approach to the design of massively parallel and interactive programming languages has been recently proposed using rv-systems (interactive systems with registers and voices) and Agapia programming. In this paper we present a few theoretical results on FISs (finite interactive systems), the underlying mechanism...
[ { "created": "Thu, 31 Dec 2009 15:19:39 GMT", "version": "v1" } ]
2010-01-05
[ [ "Sofronia", "Alexandru", "" ], [ "Popa", "Alexandru", "" ], [ "Stefanescu", "Gheorghe", "" ] ]
A new approach to the design of massively parallel and interactive programming languages has been recently proposed using rv-systems (interactive systems with registers and voices) and Agapia programming. In this paper we present a few theoretical results on FISs (finite interactive systems), the underlying mechanism u...
1808.06752
Alexey Romanov
Alexey Romanov and Chaitanya Shivade
Lessons from Natural Language Inference in the Clinical Domain
Extended version of the EMNLP 2018 paper. Dataset and code available at https://jgc128.github.io/mednli/
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
State of the art models using deep neural networks have become very good in learning an accurate mapping from inputs to outputs. However, they still lack generalization capabilities in conditions that differ from the ones encountered during training. This is even more challenging in specialized, and knowledge intensi...
[ { "created": "Tue, 21 Aug 2018 04:00:23 GMT", "version": "v1" }, { "created": "Mon, 27 Aug 2018 16:06:44 GMT", "version": "v2" } ]
2018-08-28
[ [ "Romanov", "Alexey", "" ], [ "Shivade", "Chaitanya", "" ] ]
State of the art models using deep neural networks have become very good in learning an accurate mapping from inputs to outputs. However, they still lack generalization capabilities in conditions that differ from the ones encountered during training. This is even more challenging in specialized, and knowledge intensive...
2108.13961
Nils Feldhus
Nils Feldhus, Robert Schwarzenberg, Sebastian M\"oller
Thermostat: A Large Collection of NLP Model Explanations and Analysis Tools
Accepted to EMNLP 2021 System Demonstrations
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
In the language domain, as in other domains, neural explainability takes an ever more important role, with feature attribution methods on the forefront. Many such methods require considerable computational resources and expert knowledge about implementation details and parameter choices. To facilitate research, we pr...
[ { "created": "Tue, 31 Aug 2021 16:42:35 GMT", "version": "v1" } ]
2021-09-01
[ [ "Feldhus", "Nils", "" ], [ "Schwarzenberg", "Robert", "" ], [ "Möller", "Sebastian", "" ] ]
In the language domain, as in other domains, neural explainability takes an ever more important role, with feature attribution methods on the forefront. Many such methods require considerable computational resources and expert knowledge about implementation details and parameter choices. To facilitate research, we pres...
1408.3170
Eugene Ch'ng
Eugene Ch'ng
The Value of Using Big Data Technologies in Computational Social Science
3rd ASE Big Data Science Conference, Tsinghua University Beijing, 3-7 August 2014
null
null
null
cs.SI physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The discovery of phenomena in social networks has prompted renewed interests in the field. Data in social networks however can be massive, requiring scalable Big Data architecture. Conversely, research in Big Data needs the volume and velocity of social media data for testing its scalability. Not only so, appropriate...
[ { "created": "Thu, 14 Aug 2014 00:21:59 GMT", "version": "v1" } ]
2014-08-15
[ [ "Ch'ng", "Eugene", "" ] ]
The discovery of phenomena in social networks has prompted renewed interests in the field. Data in social networks however can be massive, requiring scalable Big Data architecture. Conversely, research in Big Data needs the volume and velocity of social media data for testing its scalability. Not only so, appropriate d...
1708.09832
Andreas Selmar Hauptmann
Andreas Hauptmann, Felix Lucka, Marta Betcke, Nam Huynh, Jonas Adler, Ben Cox, Paul Beard, Sebastien Ourselin, and Simon Arridge
Model based learning for accelerated, limited-view 3D photoacoustic tomography
null
null
10.1109/TMI.2018.2820382
null
cs.CV cs.NE math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent advances in deep learning for tomographic reconstructions have shown great potential to create accurate and high quality images with a considerable speed-up. In this work we present a deep neural network that is specifically designed to provide high resolution 3D images from restricted photoacoustic measuremen...
[ { "created": "Thu, 31 Aug 2017 17:32:29 GMT", "version": "v1" }, { "created": "Wed, 21 Feb 2018 14:44:48 GMT", "version": "v2" }, { "created": "Mon, 26 Mar 2018 14:12:38 GMT", "version": "v3" } ]
2020-09-07
[ [ "Hauptmann", "Andreas", "" ], [ "Lucka", "Felix", "" ], [ "Betcke", "Marta", "" ], [ "Huynh", "Nam", "" ], [ "Adler", "Jonas", "" ], [ "Cox", "Ben", "" ], [ "Beard", "Paul", "" ], [ "Ourselin", ...
Recent advances in deep learning for tomographic reconstructions have shown great potential to create accurate and high quality images with a considerable speed-up. In this work we present a deep neural network that is specifically designed to provide high resolution 3D images from restricted photoacoustic measurements...
2105.02609
Dariusz Dereniowski
Dariusz Dereniowski, {\L}ukasz Kuszner, Robert Ostrowski
Searching by Heterogeneous Agents
null
Journal of Computer and System Sciences 115: 1-21 (2021)
null
null
cs.DM math.CO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this work we introduce and study a pursuit-evasion game in which the search is performed by heterogeneous entities. We incorporate heterogeneity into the classical edge search problem by considering edge-labeled graphs: once a search strategy initially assigns labels to the searchers, each searcher can be only pre...
[ { "created": "Thu, 6 May 2021 12:30:44 GMT", "version": "v1" } ]
2024-01-26
[ [ "Dereniowski", "Dariusz", "" ], [ "Kuszner", "Łukasz", "" ], [ "Ostrowski", "Robert", "" ] ]
In this work we introduce and study a pursuit-evasion game in which the search is performed by heterogeneous entities. We incorporate heterogeneity into the classical edge search problem by considering edge-labeled graphs: once a search strategy initially assigns labels to the searchers, each searcher can be only prese...
2007.01128
Hirah Malik
H. Malik (ETIS, L2S), C. Adjih, C. Weidmann (ETIS, CY), M. Kieffer (L2S)
MICN: a network coding protocol for ICN with multiple distinct interests per generation
null
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In Information-Centric Networking (ICN), consumers send interest packets to the network and receive data packets as a response to their request without taking care of the producers, which have provided the content, contrary to conventional IP networks. ICN supports the use of multiple paths; however, with multiple co...
[ { "created": "Thu, 2 Jul 2020 14:24:22 GMT", "version": "v1" } ]
2020-07-03
[ [ "Malik", "H.", "", "ETIS, L2S" ], [ "Adjih", "C.", "", "ETIS, CY" ], [ "Weidmann", "C.", "", "ETIS, CY" ], [ "Kieffer", "M.", "", "L2S" ] ]
In Information-Centric Networking (ICN), consumers send interest packets to the network and receive data packets as a response to their request without taking care of the producers, which have provided the content, contrary to conventional IP networks. ICN supports the use of multiple paths; however, with multiple cons...
2205.14968
Xiaopeng Zheng
Xiaopeng Zheng and Hao Wang and Peng Zheng and Zhihui Qi and Zhijun Cheng and Ru Lin and Jiayou Zhao
Two improvements of the foliation based quad meshing method
null
null
null
null
cs.CG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Quadrilateral meshes with high level structure and feature preserving property benefit industrial applications the most. Generation of such quad mesh remains a challenge. Quad meshes generated using surface foliation have the highest level structure, however they lack of the feature preserving ability. In this paper,...
[ { "created": "Mon, 30 May 2022 10:10:28 GMT", "version": "v1" } ]
2022-05-31
[ [ "Zheng", "Xiaopeng", "" ], [ "Wang", "Hao", "" ], [ "Zheng", "Peng", "" ], [ "Qi", "Zhihui", "" ], [ "Cheng", "Zhijun", "" ], [ "Lin", "Ru", "" ], [ "Zhao", "Jiayou", "" ] ]
Quadrilateral meshes with high level structure and feature preserving property benefit industrial applications the most. Generation of such quad mesh remains a challenge. Quad meshes generated using surface foliation have the highest level structure, however they lack of the feature preserving ability. In this paper, w...
1302.5490
Arunasalam Sambhanthan
Alice Good, Arunasalam Sambhanthan, Vahid Panjganj, Samuel Spettigue
Computer Interaction and the Benefits of Social Networking for People with Borderline Personality Disorder: Enlightening Mental Health Professionals
Conference paper
null
null
null
cs.HC cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper seeks to present the findings of a focus group and questionnaire in assessing how aware mental health professionals, who have experience with people with Borderline Personality Disorder (BPD), are in the extent of ICT based support for people with BPD. The methods used were both qualitative and quantitativ...
[ { "created": "Fri, 22 Feb 2013 06:10:35 GMT", "version": "v1" } ]
2013-02-25
[ [ "Good", "Alice", "" ], [ "Sambhanthan", "Arunasalam", "" ], [ "Panjganj", "Vahid", "" ], [ "Spettigue", "Samuel", "" ] ]
This paper seeks to present the findings of a focus group and questionnaire in assessing how aware mental health professionals, who have experience with people with Borderline Personality Disorder (BPD), are in the extent of ICT based support for people with BPD. The methods used were both qualitative and quantitative ...
2108.00914
Swati Gupta
Majid Farhadi, Swati Gupta, Shengding Sun, Prasad Tetali, Michael C. Wigal
Hardness and Approximation of Submodular Minimum Linear Ordering Problems
null
null
null
null
cs.DS cs.CC
http://creativecommons.org/licenses/by/4.0/
The minimum linear ordering problem (MLOP) generalizes well-known combinatorial optimization problems such as minimum linear arrangement and minimum sum set cover. MLOP seeks to minimize an aggregated cost $f(\cdot)$ due to an ordering $\sigma$ of the items (say $[n]$), i.e., $\min_{\sigma} \sum_{i\in [n]} f(E_{i,\si...
[ { "created": "Mon, 2 Aug 2021 14:06:53 GMT", "version": "v1" }, { "created": "Thu, 26 Oct 2023 18:20:35 GMT", "version": "v2" } ]
2023-10-30
[ [ "Farhadi", "Majid", "" ], [ "Gupta", "Swati", "" ], [ "Sun", "Shengding", "" ], [ "Tetali", "Prasad", "" ], [ "Wigal", "Michael C.", "" ] ]
The minimum linear ordering problem (MLOP) generalizes well-known combinatorial optimization problems such as minimum linear arrangement and minimum sum set cover. MLOP seeks to minimize an aggregated cost $f(\cdot)$ due to an ordering $\sigma$ of the items (say $[n]$), i.e., $\min_{\sigma} \sum_{i\in [n]} f(E_{i,\sigm...
2109.03443
Bo Zhou
Bo Zhou, Kejiao Li, Hongsheng Zeng, Fan Wang, Hao Tian
ADER:Adapting between Exploration and Robustness for Actor-Critic Methods
null
null
null
null
cs.LG
http://creativecommons.org/licenses/by-nc-sa/4.0/
Combining off-policy reinforcement learning methods with function approximators such as neural networks has been found to lead to overestimation of the value function and sub-optimal solutions. Improvement such as TD3 has been proposed to address this issue. However, we surprisingly find that its performance lags beh...
[ { "created": "Wed, 8 Sep 2021 05:48:39 GMT", "version": "v1" } ]
2021-09-09
[ [ "Zhou", "Bo", "" ], [ "Li", "Kejiao", "" ], [ "Zeng", "Hongsheng", "" ], [ "Wang", "Fan", "" ], [ "Tian", "Hao", "" ] ]
Combining off-policy reinforcement learning methods with function approximators such as neural networks has been found to lead to overestimation of the value function and sub-optimal solutions. Improvement such as TD3 has been proposed to address this issue. However, we surprisingly find that its performance lags behin...
2311.17532
Xingqun Qi
Xingqun Qi, Jiahao Pan, Peng Li, Ruibin Yuan, Xiaowei Chi, Mengfei Li, Wenhan Luo, Wei Xue, Shanghang Zhang, Qifeng Liu, Yike Guo
Weakly-Supervised Emotion Transition Learning for Diverse 3D Co-speech Gesture Generation
Accepted by CVPR 2024
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Generating vivid and emotional 3D co-speech gestures is crucial for virtual avatar animation in human-machine interaction applications. While the existing methods enable generating the gestures to follow a single emotion label, they overlook that long gesture sequence modeling with emotion transition is more practica...
[ { "created": "Wed, 29 Nov 2023 11:10:40 GMT", "version": "v1" }, { "created": "Sun, 24 Dec 2023 07:37:10 GMT", "version": "v2" }, { "created": "Wed, 27 Mar 2024 15:01:22 GMT", "version": "v3" } ]
2024-03-28
[ [ "Qi", "Xingqun", "" ], [ "Pan", "Jiahao", "" ], [ "Li", "Peng", "" ], [ "Yuan", "Ruibin", "" ], [ "Chi", "Xiaowei", "" ], [ "Li", "Mengfei", "" ], [ "Luo", "Wenhan", "" ], [ "Xue", "Wei", ""...
Generating vivid and emotional 3D co-speech gestures is crucial for virtual avatar animation in human-machine interaction applications. While the existing methods enable generating the gestures to follow a single emotion label, they overlook that long gesture sequence modeling with emotion transition is more practical ...
2307.05501
Ruslan Isaev Dr.
Ruslan Isaev, Radmir Gumerov, Gulzada Esenalieva, Remudin Reshid Mekuria, Ermek Doszhanov
HIVA: Holographic Intellectual Voice Assistant
6 pages, 6 figures
null
10.1109/ICECCO58239.2023.10146600
null
cs.HC cs.LG
http://creativecommons.org/licenses/by/4.0/
Holographic Intellectual Voice Assistant (HIVA) aims to facilitate human computer interaction using audiovisual effects and 3D avatar. HIVA provides complete information about the university, including requests of various nature: admission, study issues, fees, departments, university structure and history, canteen, h...
[ { "created": "Wed, 28 Jun 2023 03:29:32 GMT", "version": "v1" } ]
2023-07-13
[ [ "Isaev", "Ruslan", "" ], [ "Gumerov", "Radmir", "" ], [ "Esenalieva", "Gulzada", "" ], [ "Mekuria", "Remudin Reshid", "" ], [ "Doszhanov", "Ermek", "" ] ]
Holographic Intellectual Voice Assistant (HIVA) aims to facilitate human computer interaction using audiovisual effects and 3D avatar. HIVA provides complete information about the university, including requests of various nature: admission, study issues, fees, departments, university structure and history, canteen, hum...
2210.09899
Michael Lampis
Michael Lampis
First Order Logic on Pathwidth Revisited Again
null
null
null
null
cs.DS cs.CC cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Courcelle's celebrated theorem states that all MSO-expressible properties can be decided in linear time on graphs of bounded treewidth. Unfortunately, the hidden constant implied by this theorem is a tower of exponentials whose height increases with each quantifier alternation in the formula. More devastatingly, this...
[ { "created": "Tue, 18 Oct 2022 14:41:26 GMT", "version": "v1" } ]
2022-10-19
[ [ "Lampis", "Michael", "" ] ]
Courcelle's celebrated theorem states that all MSO-expressible properties can be decided in linear time on graphs of bounded treewidth. Unfortunately, the hidden constant implied by this theorem is a tower of exponentials whose height increases with each quantifier alternation in the formula. More devastatingly, this c...
2303.05641
Anand Subramoney
Anand Subramoney
Efficient Real Time Recurrent Learning through combined activity and parameter sparsity
Published as a workshop paper at ICLR 2023 Workshop on Sparsity in Neural Networks
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by-nc-sa/4.0/
Backpropagation through time (BPTT) is the standard algorithm for training recurrent neural networks (RNNs), which requires separate simulation phases for the forward and backward passes for inference and learning, respectively. Moreover, BPTT requires storing the complete history of network states between phases, wi...
[ { "created": "Fri, 10 Mar 2023 01:09:04 GMT", "version": "v1" } ]
2023-03-13
[ [ "Subramoney", "Anand", "" ] ]
Backpropagation through time (BPTT) is the standard algorithm for training recurrent neural networks (RNNs), which requires separate simulation phases for the forward and backward passes for inference and learning, respectively. Moreover, BPTT requires storing the complete history of network states between phases, with...
2208.09323
Daniel Buschek
Hai Dang, Karim Benharrak, Florian Lehmann, Daniel Buschek
Beyond Text Generation: Supporting Writers with Continuous Automatic Text Summaries
13 pages, 6 figures, 2 tables, ACM UIST 2022
null
10.1145/3526113.3545672
null
cs.HC cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose a text editor to help users plan, structure and reflect on their writing process. It provides continuously updated paragraph-wise summaries as margin annotations, using automatic text summarization. Summary levels range from full text, to selected (central) sentences, down to a collection of keywords. To u...
[ { "created": "Fri, 19 Aug 2022 13:09:56 GMT", "version": "v1" } ]
2022-08-22
[ [ "Dang", "Hai", "" ], [ "Benharrak", "Karim", "" ], [ "Lehmann", "Florian", "" ], [ "Buschek", "Daniel", "" ] ]
We propose a text editor to help users plan, structure and reflect on their writing process. It provides continuously updated paragraph-wise summaries as margin annotations, using automatic text summarization. Summary levels range from full text, to selected (central) sentences, down to a collection of keywords. To und...
2104.06456
Alican Mertan
Alican Mertan, Damien Jade Duff and Gozde Unal
Single Image Depth Estimation: An Overview
This is a preprint
null
10.1016/j.dsp.2022.103441
null
cs.CV
http://creativecommons.org/licenses/by-nc-nd/4.0/
We review solutions to the problem of depth estimation, arguably the most important subtask in scene understanding. We focus on the single image depth estimation problem. Due to its properties, the single image depth estimation problem is currently best tackled with machine learning methods, most successfully with co...
[ { "created": "Tue, 13 Apr 2021 18:58:37 GMT", "version": "v1" } ]
2022-02-02
[ [ "Mertan", "Alican", "" ], [ "Duff", "Damien Jade", "" ], [ "Unal", "Gozde", "" ] ]
We review solutions to the problem of depth estimation, arguably the most important subtask in scene understanding. We focus on the single image depth estimation problem. Due to its properties, the single image depth estimation problem is currently best tackled with machine learning methods, most successfully with conv...
2308.11857
Ziyu Zhou
Zihao Wang, Yiming Huang, Ziyu Zhou
CoC-GAN: Employing Context Cluster for Unveiling a New Pathway in Image Generation
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Image generation tasks are traditionally undertaken using Convolutional Neural Networks (CNN) or Transformer architectures for feature aggregating and dispatching. Despite the frequent application of convolution and attention structures, these structures are not fundamentally required to solve the problem of instabil...
[ { "created": "Wed, 23 Aug 2023 01:19:58 GMT", "version": "v1" } ]
2023-08-24
[ [ "Wang", "Zihao", "" ], [ "Huang", "Yiming", "" ], [ "Zhou", "Ziyu", "" ] ]
Image generation tasks are traditionally undertaken using Convolutional Neural Networks (CNN) or Transformer architectures for feature aggregating and dispatching. Despite the frequent application of convolution and attention structures, these structures are not fundamentally required to solve the problem of instabilit...
1807.01147
Vaneet Aggarwal
Abubakr Alabbasi and Vaneet Aggarwal and Tian Lan and Yu Xiang and Moo-Ryong Ra and Yih-Farn R. Chen
FastTrack: Minimizing Stalls for CDN-based Over-the-top Video Streaming Systems
18 pages. arXiv admin note: text overlap with arXiv:1806.09466, arXiv:1703.08348
null
null
null
cs.NI cs.DC cs.MM cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Traffic for internet video streaming has been rapidly increasing and is further expected to increase with the higher definition videos and IoT applications, such as 360 degree videos and augmented virtual reality applications. While efficient management of heterogeneous cloud resources to optimize the quality of expe...
[ { "created": "Sat, 30 Jun 2018 10:24:28 GMT", "version": "v1" } ]
2018-07-04
[ [ "Alabbasi", "Abubakr", "" ], [ "Aggarwal", "Vaneet", "" ], [ "Lan", "Tian", "" ], [ "Xiang", "Yu", "" ], [ "Ra", "Moo-Ryong", "" ], [ "Chen", "Yih-Farn R.", "" ] ]
Traffic for internet video streaming has been rapidly increasing and is further expected to increase with the higher definition videos and IoT applications, such as 360 degree videos and augmented virtual reality applications. While efficient management of heterogeneous cloud resources to optimize the quality of experi...
cs/0403042
Aikaterini Argyraki
Katerina J. Argyraki, David R. Cheriton
Protecting Public-Access Sites Against Distributed Denial-of-Service Attacks
Description and evaluation of a filter management protocol that reactively protects public-access sites against DDoS attacks. 12 pages long
Updated versions in Proc. USENIX Annual Technical Conference, April 2005, and IEEE/ACM Transactions on Networking, 17(4):1284-1297, August 2009
10.1109/TNET.2008.2007431
null
cs.NI
null
A distributed denial-of-service (DDoS) attack can flood a victim site with malicious traffic, causing service disruption or even complete failure. Public-access sites like amazon or ebay are particularly vulnerable to such attacks, because they have no way of a priori blocking unauthorized traffic. We present Activ...
[ { "created": "Mon, 29 Mar 2004 19:24:14 GMT", "version": "v1" }, { "created": "Mon, 24 May 2004 07:20:17 GMT", "version": "v2" } ]
2012-10-26
[ [ "Argyraki", "Katerina J.", "" ], [ "Cheriton", "David R.", "" ] ]
A distributed denial-of-service (DDoS) attack can flood a victim site with malicious traffic, causing service disruption or even complete failure. Public-access sites like amazon or ebay are particularly vulnerable to such attacks, because they have no way of a priori blocking unauthorized traffic. We present Active In...
2107.01310
Reza Asadi Mr
Reza Asadi and Amelia Regan
Clustering of Time Series Data with Prior Geographical Information
null
null
null
null
cs.LG
http://creativecommons.org/licenses/by-nc-nd/4.0/
Time Series data are broadly studied in various domains of transportation systems. Traffic data area challenging example of spatio-temporal data, as it is multi-variate time series with high correlations in spatial and temporal neighborhoods. Spatio-temporal clustering of traffic flow data find similar patterns in bo...
[ { "created": "Sat, 3 Jul 2021 00:19:17 GMT", "version": "v1" } ]
2021-07-06
[ [ "Asadi", "Reza", "" ], [ "Regan", "Amelia", "" ] ]
Time Series data are broadly studied in various domains of transportation systems. Traffic data area challenging example of spatio-temporal data, as it is multi-variate time series with high correlations in spatial and temporal neighborhoods. Spatio-temporal clustering of traffic flow data find similar patterns in both...
1708.02406
Yoav Wald
Yoav Wald, Amir Globerson
Robust Conditional Probabilities
24 pages, 1 figure
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Conditional probabilities are a core concept in machine learning. For example, optimal prediction of a label $Y$ given an input $X$ corresponds to maximizing the conditional probability of $Y$ given $X$. A common approach to inference tasks is learning a model of conditional probabilities. However, these models are o...
[ { "created": "Tue, 8 Aug 2017 08:42:09 GMT", "version": "v1" } ]
2017-08-09
[ [ "Wald", "Yoav", "" ], [ "Globerson", "Amir", "" ] ]
Conditional probabilities are a core concept in machine learning. For example, optimal prediction of a label $Y$ given an input $X$ corresponds to maximizing the conditional probability of $Y$ given $X$. A common approach to inference tasks is learning a model of conditional probabilities. However, these models are oft...
0908.0856
Tobias Renk
Tobias Renk, Holger Jaekel, Friedrich K. Jondral, Deniz Gunduz, Andrea Goldsmith
Outage Capacity of Incremental Relaying at Low Signal-to-Noise Ratios
5 pages, 4 figures, to be presented at VTC Fall 2009 in Anchorage, Alaska
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present the \epsilon-outage capacity of incremental relaying at low signal-to-noise ratios (SNR) in a wireless cooperative network with slow Rayleigh fading channels. The relay performs decode-and-forward and repetition coding is employed in the network, which is optimal in the low SNR regime. We derive an express...
[ { "created": "Thu, 6 Aug 2009 13:06:26 GMT", "version": "v1" } ]
2009-08-07
[ [ "Renk", "Tobias", "" ], [ "Jaekel", "Holger", "" ], [ "Jondral", "Friedrich K.", "" ], [ "Gunduz", "Deniz", "" ], [ "Goldsmith", "Andrea", "" ] ]
We present the \epsilon-outage capacity of incremental relaying at low signal-to-noise ratios (SNR) in a wireless cooperative network with slow Rayleigh fading channels. The relay performs decode-and-forward and repetition coding is employed in the network, which is optimal in the low SNR regime. We derive an expressio...
1909.00134
Kaihong Wang
Kaihong Wang and Mona Jalal and Sankara Jefferson and Yi Zheng and Elaine O. Nsoesie and Margrit Betke
Scraping Social Media Photos Posted in Kenya and Elsewhere to Detect and Analyze Food Types
Another version of the paper was submitted to the ACM International Conference on Multimedia (ACMMM2019)
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Monitoring population-level changes in diet could be useful for education and for implementing interventions to improve health. Research has shown that data from social media sources can be used for monitoring dietary behavior. We propose a scrape-by-location methodology to create food image datasets from Instagram p...
[ { "created": "Sat, 31 Aug 2019 05:37:13 GMT", "version": "v1" } ]
2019-09-04
[ [ "Wang", "Kaihong", "" ], [ "Jalal", "Mona", "" ], [ "Jefferson", "Sankara", "" ], [ "Zheng", "Yi", "" ], [ "Nsoesie", "Elaine O.", "" ], [ "Betke", "Margrit", "" ] ]
Monitoring population-level changes in diet could be useful for education and for implementing interventions to improve health. Research has shown that data from social media sources can be used for monitoring dietary behavior. We propose a scrape-by-location methodology to create food image datasets from Instagram pos...
1712.01718
Ronny Tschueter
Ronny Tsch\"uter, Johannes Ziegenbalg, Bert Wesarg, Matthias Weber, Christian Herold, Sebastian D\"obel, Ronny Brendel
An LLVM Instrumentation Plug-in for Score-P
8 pages
LLVM-HPC'17: Proceedings of the Fourth Workshop on the LLVM Compiler Infrastructure in HPC, 2017, 2:1--2:8
10.1145/3148173.3148187
null
cs.SE cs.PF cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Reducing application runtime, scaling parallel applications to higher numbers of processes/threads, and porting applications to new hardware architectures are tasks necessary in the software development process. Therefore, developers have to investigate and understand application runtime behavior. Tools such as monit...
[ { "created": "Fri, 1 Dec 2017 13:15:49 GMT", "version": "v1" } ]
2017-12-06
[ [ "Tschüter", "Ronny", "" ], [ "Ziegenbalg", "Johannes", "" ], [ "Wesarg", "Bert", "" ], [ "Weber", "Matthias", "" ], [ "Herold", "Christian", "" ], [ "Döbel", "Sebastian", "" ], [ "Brendel", "Ronny", "" ] ...
Reducing application runtime, scaling parallel applications to higher numbers of processes/threads, and porting applications to new hardware architectures are tasks necessary in the software development process. Therefore, developers have to investigate and understand application runtime behavior. Tools such as monitor...
1812.06576
Di Xie
Yingying Zhang and Qiaoyong Zhong and Liang Ma and Di Xie and Shiliang Pu
Learning Incremental Triplet Margin for Person Re-identification
accepted by AAAI19 as spotlight
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Person re-identification (ReID) aims to match people across multiple non-overlapping video cameras deployed at different locations. To address this challenging problem, many metric learning approaches have been proposed, among which triplet loss is one of the state-of-the-arts. In this work, we explore the margin bet...
[ { "created": "Mon, 17 Dec 2018 01:48:06 GMT", "version": "v1" } ]
2018-12-18
[ [ "Zhang", "Yingying", "" ], [ "Zhong", "Qiaoyong", "" ], [ "Ma", "Liang", "" ], [ "Xie", "Di", "" ], [ "Pu", "Shiliang", "" ] ]
Person re-identification (ReID) aims to match people across multiple non-overlapping video cameras deployed at different locations. To address this challenging problem, many metric learning approaches have been proposed, among which triplet loss is one of the state-of-the-arts. In this work, we explore the margin betwe...
2110.00077
Matteo Nerini
Matteo Nerini, Shanpu Shen, and Bruno Clerckx
Discrete-Value Group and Fully Connected Architectures for Beyond Diagonal Reconfigurable Intelligent Surfaces
Accepted by IEEE for publication
null
null
null
cs.IT eess.SP math.IT
http://creativecommons.org/licenses/by/4.0/
Reconfigurable intelligent surfaces (RISs) allow controlling the propagation environment in wireless networks through reconfigurable elements. Recently, beyond diagonal RISs (BD-RISs) have been proposed as novel RIS architectures whose scattering matrix is not limited to being diagonal. However, BDRISs have been stud...
[ { "created": "Thu, 30 Sep 2021 20:11:23 GMT", "version": "v1" }, { "created": "Mon, 19 Sep 2022 16:00:30 GMT", "version": "v2" }, { "created": "Wed, 2 Nov 2022 10:14:55 GMT", "version": "v3" }, { "created": "Fri, 28 Jul 2023 09:28:43 GMT", "version": "v4" } ]
2023-07-31
[ [ "Nerini", "Matteo", "" ], [ "Shen", "Shanpu", "" ], [ "Clerckx", "Bruno", "" ] ]
Reconfigurable intelligent surfaces (RISs) allow controlling the propagation environment in wireless networks through reconfigurable elements. Recently, beyond diagonal RISs (BD-RISs) have been proposed as novel RIS architectures whose scattering matrix is not limited to being diagonal. However, BDRISs have been studie...
2208.08879
Ilya Makarov
Maksim Golyadkin, Vitaliy Pozdnyakov, Leonid Zhukov, Ilya Makarov
SensorSCAN: Self-Supervised Learning and Deep Clustering for Fault Diagnosis in Chemical Processes
null
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Modern industrial facilities generate large volumes of raw sensor data during the production process. This data is used to monitor and control the processes and can be analyzed to detect and predict process abnormalities. Typically, the data has to be annotated by experts in order to be used in predictive modeling. H...
[ { "created": "Wed, 17 Aug 2022 10:24:37 GMT", "version": "v1" }, { "created": "Thu, 2 Nov 2023 09:16:12 GMT", "version": "v2" } ]
2023-11-03
[ [ "Golyadkin", "Maksim", "" ], [ "Pozdnyakov", "Vitaliy", "" ], [ "Zhukov", "Leonid", "" ], [ "Makarov", "Ilya", "" ] ]
Modern industrial facilities generate large volumes of raw sensor data during the production process. This data is used to monitor and control the processes and can be analyzed to detect and predict process abnormalities. Typically, the data has to be annotated by experts in order to be used in predictive modeling. How...
2308.16585
Saux Patrick
Patrick Saux (Scool, CRIStAL), Pierre Bauvin, Violeta Raverdy, Julien Teigny (Scool), H\'el\`ene Verkindt, Tomy Soumphonphakdy (Scool), Maxence Debert (Scool), Anne Jacobs, Daan Jacobs, Valerie Monpellier, Phong Ching Lee, Chin Hong Lim, Johanna C Andersson-Assarsson, Lena Carlsson, Per-Arne Svensson, Florence ...
Development and validation of an interpretable machine learning-based calculator for predicting 5-year weight trajectories after bariatric surgery: a multinational retrospective cohort SOPHIA study
The Lancet Digital Health, 2023
null
10.1016/S2589-7500(23)00135-8
null
cs.LG stat.AP
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Background Weight loss trajectories after bariatric surgery vary widely between individuals, and predicting weight loss before the operation remains challenging. We aimed to develop a model using machine learning to provide individual preoperative prediction of 5-year weight loss trajectories after surgery. Methods I...
[ { "created": "Thu, 31 Aug 2023 09:30:06 GMT", "version": "v1" } ]
2023-09-01
[ [ "Saux", "Patrick", "", "Scool, CRIStAL" ], [ "Bauvin", "Pierre", "", "Scool" ], [ "Raverdy", "Violeta", "", "Scool" ], [ "Teigny", "Julien", "", "Scool" ], [ "Verkindt", "Hélène", "", "Scool" ], [ "Soumphonphak...
Background Weight loss trajectories after bariatric surgery vary widely between individuals, and predicting weight loss before the operation remains challenging. We aimed to develop a model using machine learning to provide individual preoperative prediction of 5-year weight loss trajectories after surgery. Methods In ...
1212.5276
Marc Schoenauer
Mostepha Redouane Khouadjia (INRIA Saclay - Ile de France), Marc Schoenauer (INRIA Saclay - Ile de France, LRI), Vincent Vidal (DCSD), Johann Dr\'eo (TRT), Pierre Sav\'eant (TRT)
Multi-Objective AI Planning: Evaluating DAE-YAHSP on a Tunable Benchmark
7th International Conference on Evolutionary Multi-Criterion Optimization (2013) To appearr. arXiv admin note: text overlap with arXiv:0804.3965 by other authors
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
All standard AI planners to-date can only handle a single objective, and the only way for them to take into account multiple objectives is by aggregation of the objectives. Furthermore, and in deep contrast with the single objective case, there exists no benchmark problems on which to test the algorithms for multi-ob...
[ { "created": "Thu, 20 Dec 2012 21:26:17 GMT", "version": "v1" } ]
2012-12-24
[ [ "Khouadjia", "Mostepha Redouane", "", "INRIA Saclay - Ile de France" ], [ "Schoenauer", "Marc", "", "INRIA Saclay - Ile de France, LRI" ], [ "Vidal", "Vincent", "", "DCSD" ], [ "Dréo", "Johann", "", "TRT" ], [ "Savéant", "Pier...
All standard AI planners to-date can only handle a single objective, and the only way for them to take into account multiple objectives is by aggregation of the objectives. Furthermore, and in deep contrast with the single objective case, there exists no benchmark problems on which to test the algorithms for multi-obje...
1303.7353
Kamlesh Sharma
Nisha Sharma, Kamlesh Sharma
A Modified LSB Technique of Digital Watermarking in Spatial Domain
4 pages, 2 images, Proceedings International Conference on Innovative Technologies Reserch & Development in Science, Technology and Management organized by PDM collage of Engg & IEEE-IMS/EMB(Delhi), 2009. arXiv admin note: text overlap with arXiv:0802.3746 by other authors without attribution
null
null
null
cs.MM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Digital watermarking is a technique of embedding pieces of information into digital data such as text, audio, video, and still images that can be detected or extracted later to show authentication about the data. Watermark is hidden information in the image(s) and is so designed that it does not degrade/distort the q...
[ { "created": "Fri, 29 Mar 2013 10:20:44 GMT", "version": "v1" } ]
2013-04-01
[ [ "Sharma", "Nisha", "" ], [ "Sharma", "Kamlesh", "" ] ]
Digital watermarking is a technique of embedding pieces of information into digital data such as text, audio, video, and still images that can be detected or extracted later to show authentication about the data. Watermark is hidden information in the image(s) and is so designed that it does not degrade/distort the qua...
1910.13592
Rodrigo Machado
Leila Ribeiro, Lucio Duarte, Rodrigo Machado, Andrei Costa, \'Erika Cota, Jonas Bezerra
Use Case Evolution Analysis based on Graph Transformation with Negative Application Conditions
30 pages, 16 figures, 2 tables. Accepted for presentation at SBMF 2019, preprint submitted to Science of Computer Programming
null
null
null
cs.SE
http://creativecommons.org/licenses/by/4.0/
Use Case (UC) quality impacts the overall quality and defect rate of a system, as they specify the expected behavior of an implementation. In a previous work, we have defined an approach for a step-by-step translation from UCs written in natural language to a formal description in terms of Graph Transformation (GT), ...
[ { "created": "Wed, 30 Oct 2019 00:24:43 GMT", "version": "v1" } ]
2019-10-31
[ [ "Ribeiro", "Leila", "" ], [ "Duarte", "Lucio", "" ], [ "Machado", "Rodrigo", "" ], [ "Costa", "Andrei", "" ], [ "Cota", "Érika", "" ], [ "Bezerra", "Jonas", "" ] ]
Use Case (UC) quality impacts the overall quality and defect rate of a system, as they specify the expected behavior of an implementation. In a previous work, we have defined an approach for a step-by-step translation from UCs written in natural language to a formal description in terms of Graph Transformation (GT), wh...
2004.11246
Aythami Morales
Ignacio Serna, Aythami Morales, Julian Fierrez, Manuel Cebrian, Nick Obradovich, and Iyad Rahwan
SensitiveLoss: Improving Accuracy and Fairness of Face Representations with Discrimination-Aware Deep Learning
arXiv admin note: substantial text overlap with arXiv:1912.01842
null
null
null
cs.CV cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose a discrimination-aware learning method to improve both accuracy and fairness of biased face recognition algorithms. The most popular face recognition benchmarks assume a distribution of subjects without paying much attention to their demographic attributes. In this work, we perform a comprehensive discrimi...
[ { "created": "Wed, 22 Apr 2020 10:32:16 GMT", "version": "v1" }, { "created": "Wed, 2 Dec 2020 16:22:01 GMT", "version": "v2" } ]
2020-12-03
[ [ "Serna", "Ignacio", "" ], [ "Morales", "Aythami", "" ], [ "Fierrez", "Julian", "" ], [ "Cebrian", "Manuel", "" ], [ "Obradovich", "Nick", "" ], [ "Rahwan", "Iyad", "" ] ]
We propose a discrimination-aware learning method to improve both accuracy and fairness of biased face recognition algorithms. The most popular face recognition benchmarks assume a distribution of subjects without paying much attention to their demographic attributes. In this work, we perform a comprehensive discrimina...
1606.08057
Lawrence Jackel
Artem Provodin, Liila Torabi, Beat Flepp, Yann LeCun, Michael Sergio, L. D. Jackel, Urs Muller, Jure Zbontar
Fast Incremental Learning for Off-Road Robot Navigation
null
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A promising approach to autonomous driving is machine learning. In such systems, training datasets are created that capture the sensory input to a vehicle as well as the desired response. A disadvantage of using a learned navigation system is that the learning process itself may require a huge number of training exam...
[ { "created": "Sun, 26 Jun 2016 17:31:02 GMT", "version": "v1" } ]
2016-06-28
[ [ "Provodin", "Artem", "" ], [ "Torabi", "Liila", "" ], [ "Flepp", "Beat", "" ], [ "LeCun", "Yann", "" ], [ "Sergio", "Michael", "" ], [ "Jackel", "L. D.", "" ], [ "Muller", "Urs", "" ], [ "Zbontar", ...
A promising approach to autonomous driving is machine learning. In such systems, training datasets are created that capture the sensory input to a vehicle as well as the desired response. A disadvantage of using a learned navigation system is that the learning process itself may require a huge number of training exampl...
1709.02094
EPTCS
Laura Bozzelli (Univ. of Napoli "Federico II", IT), Alberto Molinari (Univ. of Udine, IT), Angelo Montanari (Univ. of Udine, IT), Adriano Peron (Univ. of Napoli "Federico II", IT)
On the Complexity of Model Checking for Syntactically Maximal Fragments of the Interval Temporal Logic HS with Regular Expressions
In Proceedings GandALF 2017, arXiv:1709.01761
EPTCS 256, 2017, pp. 31-45
10.4204/EPTCS.256.3
null
cs.LO cs.CC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we investigate the model checking (MC) problem for Halpern and Shoham's interval temporal logic HS. In the last years, interval temporal logic MC has received an increasing attention as a viable alternative to the traditional (point-based) temporal logic MC, which can be recovered as a special case. Mo...
[ { "created": "Thu, 7 Sep 2017 06:54:30 GMT", "version": "v1" } ]
2017-09-08
[ [ "Bozzelli", "Laura", "", "Univ. of Napoli \"Federico II\", IT" ], [ "Molinari", "Alberto", "", "Univ. of Udine, IT" ], [ "Montanari", "Angelo", "", "Univ. of Udine, IT" ], [ "Peron", "Adriano", "", "Univ. of Napoli \"Federico II\", IT" ...
In this paper, we investigate the model checking (MC) problem for Halpern and Shoham's interval temporal logic HS. In the last years, interval temporal logic MC has received an increasing attention as a viable alternative to the traditional (point-based) temporal logic MC, which can be recovered as a special case. Most...
2306.16750
Qiang He
Qiang He and Tianyi Zhou and Meng Fang and Setareh Maghsudi
Eigensubspace of Temporal-Difference Dynamics and How It Improves Value Approximation in Reinforcement Learning
Accepted to ECML23. Code: https://sites.google.com/view/erc-ecml23/
null
10.1007/978-3-031-43421-1_34
null
cs.LG cs.AI cs.SY eess.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose a novel value approximation method, namely Eigensubspace Regularized Critic (ERC) for deep reinforcement learning (RL). ERC is motivated by an analysis of the dynamics of Q-value approximation error in the Temporal-Difference (TD) method, which follows a path defined by the 1-eigensubspace of the transitio...
[ { "created": "Thu, 29 Jun 2023 07:47:32 GMT", "version": "v1" }, { "created": "Wed, 8 Nov 2023 09:38:35 GMT", "version": "v2" } ]
2023-11-09
[ [ "He", "Qiang", "" ], [ "Zhou", "Tianyi", "" ], [ "Fang", "Meng", "" ], [ "Maghsudi", "Setareh", "" ] ]
We propose a novel value approximation method, namely Eigensubspace Regularized Critic (ERC) for deep reinforcement learning (RL). ERC is motivated by an analysis of the dynamics of Q-value approximation error in the Temporal-Difference (TD) method, which follows a path defined by the 1-eigensubspace of the transition ...
2004.00467
Birolab Birolab
Shuangyue Yu, Tzu-Hao Huang, Xiaolong Yang, Chunhai Jiao, Jianfu Yang, Hang Hu, Sainan Zhang, Yue Chen, Jingang Yi, and Hao Su
Quasi-Direct Drive Actuation for a Lightweight Hip Exoskeleton with High Backdrivability and High Bandwidth
9 pages, 13 figures
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
High-performance actuators are crucial to enable mechanical versatility of lower-limb wearable robots, which are required to be lightweight, highly backdrivable, and with high bandwidth. State-of-the-art actuators, e.g., series elastic actuators (SEAs), have to compromise bandwidth to improve compliance (i.e., backdr...
[ { "created": "Wed, 1 Apr 2020 14:26:36 GMT", "version": "v1" } ]
2020-04-02
[ [ "Yu", "Shuangyue", "" ], [ "Huang", "Tzu-Hao", "" ], [ "Yang", "Xiaolong", "" ], [ "Jiao", "Chunhai", "" ], [ "Yang", "Jianfu", "" ], [ "Hu", "Hang", "" ], [ "Zhang", "Sainan", "" ], [ "Chen", "...
High-performance actuators are crucial to enable mechanical versatility of lower-limb wearable robots, which are required to be lightweight, highly backdrivable, and with high bandwidth. State-of-the-art actuators, e.g., series elastic actuators (SEAs), have to compromise bandwidth to improve compliance (i.e., backdriv...
1801.00035
Luis A. Mateos
Luis A. Mateos
LaMMos - Latching Mechanism based on Motorized-screw for Reconfigurable Robots and Exoskeleton Suits
14 pages, 15 figures
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Reconfigurable robots refer to a category of robots that their components (individual joints and links) can be assembled in multiple configurations and geometries. Most of existing latching mechanisms are based on physical tools such as hooks, cages or magnets, which limit the payload capacity. Therefore, robots re- ...
[ { "created": "Wed, 27 Dec 2017 17:01:52 GMT", "version": "v1" } ]
2018-01-03
[ [ "Mateos", "Luis A.", "" ] ]
Reconfigurable robots refer to a category of robots that their components (individual joints and links) can be assembled in multiple configurations and geometries. Most of existing latching mechanisms are based on physical tools such as hooks, cages or magnets, which limit the payload capacity. Therefore, robots re- qu...
2110.04301
Sahil Singla
Sahil Singla, Soheil Feizi
Salient ImageNet: How to discover spurious features in Deep Learning?
Accepted at ICLR, 2022
null
null
null
cs.LG cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep neural networks can be unreliable in the real world especially when they heavily use {\it spurious} features for their predictions. Focusing on image classifications, we define {\it core features} as the set of visual features that are always a part of the object definition while {\it spurious features} are the ...
[ { "created": "Fri, 8 Oct 2021 15:55:05 GMT", "version": "v1" }, { "created": "Sat, 6 Nov 2021 20:12:08 GMT", "version": "v2" }, { "created": "Sat, 13 Nov 2021 18:32:19 GMT", "version": "v3" }, { "created": "Mon, 28 Mar 2022 02:55:37 GMT", "version": "v4" } ]
2022-03-29
[ [ "Singla", "Sahil", "" ], [ "Feizi", "Soheil", "" ] ]
Deep neural networks can be unreliable in the real world especially when they heavily use {\it spurious} features for their predictions. Focusing on image classifications, we define {\it core features} as the set of visual features that are always a part of the object definition while {\it spurious features} are the on...
1805.03648
Ryan Kastner
Ryan Kastner, Janarbek Matai, and Stephen Neuendorffer
Parallel Programming for FPGAs
null
null
null
null
cs.AR
http://creativecommons.org/licenses/by/4.0/
This book focuses on the use of algorithmic high-level synthesis (HLS) to build application-specific FPGA systems. Our goal is to give the reader an appreciation of the process of creating an optimized hardware design using HLS. Although the details are, of necessity, different from parallel programming for multicore...
[ { "created": "Wed, 9 May 2018 17:26:28 GMT", "version": "v1" } ]
2018-05-11
[ [ "Kastner", "Ryan", "" ], [ "Matai", "Janarbek", "" ], [ "Neuendorffer", "Stephen", "" ] ]
This book focuses on the use of algorithmic high-level synthesis (HLS) to build application-specific FPGA systems. Our goal is to give the reader an appreciation of the process of creating an optimized hardware design using HLS. Although the details are, of necessity, different from parallel programming for multicore p...
2401.06275
Siyi Guo
Siyi Guo, Zihao He, Ashwin Rao, Fred Morstatter, Jeffrey Brantingham and Kristina Lerman
The Pulse of Mood Online: Unveiling Emotional Reactions in a Dynamic Social Media Landscape
arXiv admin note: substantial text overlap with arXiv:2307.10245
null
null
null
cs.SI
http://creativecommons.org/licenses/by/4.0/
The rich and dynamic information environment of social media provides researchers, policy makers, and entrepreneurs with opportunities to learn about social phenomena in a timely manner. However, using these data to understand social behavior is difficult due to heterogeneity of topics and events discussed in the hig...
[ { "created": "Thu, 11 Jan 2024 22:12:55 GMT", "version": "v1" } ]
2024-01-15
[ [ "Guo", "Siyi", "" ], [ "He", "Zihao", "" ], [ "Rao", "Ashwin", "" ], [ "Morstatter", "Fred", "" ], [ "Brantingham", "Jeffrey", "" ], [ "Lerman", "Kristina", "" ] ]
The rich and dynamic information environment of social media provides researchers, policy makers, and entrepreneurs with opportunities to learn about social phenomena in a timely manner. However, using these data to understand social behavior is difficult due to heterogeneity of topics and events discussed in the highl...
2103.06450
Sumeet Sohan Singh
Sumeet S. Singh, Sergey Karayev
Full Page Handwriting Recognition via Image to Sequence Extraction
Appeared in ICDAR 2021
null
10.1007/978-3-030-86334-0_4
null
cs.CV cs.AI cs.CL cs.LG
http://creativecommons.org/licenses/by/4.0/
We present a Neural Network based Handwritten Text Recognition (HTR) model architecture that can be trained to recognize full pages of handwritten or printed text without image segmentation. Being based on Image to Sequence architecture, it can extract text present in an image and then sequence it correctly without i...
[ { "created": "Thu, 11 Mar 2021 04:37:29 GMT", "version": "v1" }, { "created": "Fri, 21 May 2021 18:52:44 GMT", "version": "v2" }, { "created": "Sun, 26 Jun 2022 21:01:23 GMT", "version": "v3" } ]
2022-06-28
[ [ "Singh", "Sumeet S.", "" ], [ "Karayev", "Sergey", "" ] ]
We present a Neural Network based Handwritten Text Recognition (HTR) model architecture that can be trained to recognize full pages of handwritten or printed text without image segmentation. Being based on Image to Sequence architecture, it can extract text present in an image and then sequence it correctly without imp...
2006.01903
Stefan Hoffmann
Stefan Hoffmann
On a Class of Constrained Synchronization Problems in NP
arXiv admin note: text overlap with arXiv:2005.05907; Fixed a claim about closure properties of the polycyclic languages and a formula on page 7, 1st paragraph
null
null
null
cs.FL cs.CC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The class of known constraint automata for which the constrained synchronization problem is in NP all admit a special form. In this work, we take a closer look at them. We characterize a wider class of constraint automata that give constrained synchronization problems in NP, which encompasses all known problems in NP...
[ { "created": "Tue, 2 Jun 2020 19:36:48 GMT", "version": "v1" }, { "created": "Sat, 21 Aug 2021 12:31:42 GMT", "version": "v2" } ]
2021-08-24
[ [ "Hoffmann", "Stefan", "" ] ]
The class of known constraint automata for which the constrained synchronization problem is in NP all admit a special form. In this work, we take a closer look at them. We characterize a wider class of constraint automata that give constrained synchronization problems in NP, which encompasses all known problems in NP. ...
1804.03245
Teseo Schneider
Teseo Schneider, Jeremie Dumas, Xifeng Gao, Mario Botsch, Daniele Panozzo, Denis Zorin
Poly-Spline Finite Element Method
FORTHCOMING in TOG
ACM Trans. Graph. 38, 3, Article 19 (June 2019), 16 pages
10.1145/3313797
null
cs.NA cs.GR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce an integrated meshing and finite element method pipeline enabling black-box solution of partial differential equations in the volume enclosed by a boundary representation. We construct a hybrid hexahedral-dominant mesh, which contains a small number of star-shaped polyhedra, and build a set of high-order...
[ { "created": "Mon, 9 Apr 2018 21:27:01 GMT", "version": "v1" }, { "created": "Fri, 8 Mar 2019 20:14:03 GMT", "version": "v2" } ]
2022-02-04
[ [ "Schneider", "Teseo", "" ], [ "Dumas", "Jeremie", "" ], [ "Gao", "Xifeng", "" ], [ "Botsch", "Mario", "" ], [ "Panozzo", "Daniele", "" ], [ "Zorin", "Denis", "" ] ]
We introduce an integrated meshing and finite element method pipeline enabling black-box solution of partial differential equations in the volume enclosed by a boundary representation. We construct a hybrid hexahedral-dominant mesh, which contains a small number of star-shaped polyhedra, and build a set of high-order b...
2005.12739
ByungSoo Ko
Yang-Ho Ji, HeeJae Jun, Insik Kim, Jongtack Kim, Youngjoon Kim, Byungsoo Ko, Hyong-Keun Kook, Jingeun Lee, Sangwon Lee, Sanghyuk Park
An Effective Pipeline for a Real-world Clothes Retrieval System
2nd place solution on DeepFashion2 clothes retrieval challenge in CVPR2020 workshop (CVFAD)
null
null
null
cs.CV cs.IR cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we propose an effective pipeline for clothes retrieval system which has sturdiness on large-scale real-world fashion data. Our proposed method consists of three components: detection, retrieval, and post-processing. We firstly conduct a detection task for precise retrieval on target clothes, then retri...
[ { "created": "Tue, 26 May 2020 14:08:49 GMT", "version": "v1" } ]
2020-05-27
[ [ "Ji", "Yang-Ho", "" ], [ "Jun", "HeeJae", "" ], [ "Kim", "Insik", "" ], [ "Kim", "Jongtack", "" ], [ "Kim", "Youngjoon", "" ], [ "Ko", "Byungsoo", "" ], [ "Kook", "Hyong-Keun", "" ], [ "Lee", "J...
In this paper, we propose an effective pipeline for clothes retrieval system which has sturdiness on large-scale real-world fashion data. Our proposed method consists of three components: detection, retrieval, and post-processing. We firstly conduct a detection task for precise retrieval on target clothes, then retriev...
1810.00715
Siu-Wing Cheng
Siu-Wing Cheng and Man-Kit Lau
Adaptive Planar Point Location
null
null
null
null
cs.CG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present self-adjusting data structures for answering point location queries in convex and connected subdivisions. Let $n$ be the number of vertices in a convex or connected subdivision. Our structures use $O(n)$ space. For any convex subdivision $S$, our method processes any online query sequence $\sigma$ in $O(\m...
[ { "created": "Mon, 1 Oct 2018 14:17:40 GMT", "version": "v1" } ]
2018-10-02
[ [ "Cheng", "Siu-Wing", "" ], [ "Lau", "Man-Kit", "" ] ]
We present self-adjusting data structures for answering point location queries in convex and connected subdivisions. Let $n$ be the number of vertices in a convex or connected subdivision. Our structures use $O(n)$ space. For any convex subdivision $S$, our method processes any online query sequence $\sigma$ in $O(\mat...
1504.02362
Vladimir Ivanov
V. K. Ivanov, B. V. Palyukh, A. N. Sotnikov
Approaches to the Intelligent Subject Search
8 pages
FedCSIS'2014 3 (2014) 13-20
10.15439/2014F70 10.15439/978-83-60810-57-6
null
cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This article presents main results of the pilot study of approaches to the subject information search based on automated semantic processing of mass scientific and technical data. The authors focus on technology of building and qualification of search queries with the following filtering and ranking of search data. S...
[ { "created": "Thu, 9 Apr 2015 16:22:32 GMT", "version": "v1" } ]
2015-04-10
[ [ "Ivanov", "V. K.", "" ], [ "Palyukh", "B. V.", "" ], [ "Sotnikov", "A. N.", "" ] ]
This article presents main results of the pilot study of approaches to the subject information search based on automated semantic processing of mass scientific and technical data. The authors focus on technology of building and qualification of search queries with the following filtering and ranking of search data. Sof...
1909.01473
Qinmeng Zou
Frederic Magoules and Qinmeng Zou
Asynchronous Time-Parallel Method based on Laplace Transform
null
null
null
null
cs.DC cs.NA math.NA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Laplace transform method has proved to be very efficient and easy to parallelize for the solution of time-dependent problems. However, the synchronization delay among processors implies an upper bound on the expectable acceleration factor, which leads to a lot of wasted time. In this paper, we propose an original asy...
[ { "created": "Tue, 3 Sep 2019 22:19:46 GMT", "version": "v1" } ]
2019-09-05
[ [ "Magoules", "Frederic", "" ], [ "Zou", "Qinmeng", "" ] ]
Laplace transform method has proved to be very efficient and easy to parallelize for the solution of time-dependent problems. However, the synchronization delay among processors implies an upper bound on the expectable acceleration factor, which leads to a lot of wasted time. In this paper, we propose an original async...
1205.0837
Sean Chester
Sean Chester, Alex Thomo, S. Venkatesh, Sue Whitesides
Indexing Reverse Top-k Queries
null
null
null
null
cs.DB cs.CG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider the recently introduced monochromatic reverse top-k queries which ask for, given a new tuple q and a dataset D, all possible top-k queries on D union {q} for which q is in the result. Towards this problem, we focus on designing indexes in two dimensions for repeated (or batch) querying, a novel but practi...
[ { "created": "Fri, 4 May 2012 00:03:18 GMT", "version": "v1" } ]
2012-05-07
[ [ "Chester", "Sean", "" ], [ "Thomo", "Alex", "" ], [ "Venkatesh", "S.", "" ], [ "Whitesides", "Sue", "" ] ]
We consider the recently introduced monochromatic reverse top-k queries which ask for, given a new tuple q and a dataset D, all possible top-k queries on D union {q} for which q is in the result. Towards this problem, we focus on designing indexes in two dimensions for repeated (or batch) querying, a novel but practica...
2301.11990
Ilia Sucholutsky
Ilia Sucholutsky, Thomas L. Griffiths
Alignment with human representations supports robust few-shot learning
Spotlight at NeurIPS 2023
null
null
null
cs.LG cs.AI cs.CV cs.HC stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Should we care whether AI systems have representations of the world that are similar to those of humans? We provide an information-theoretic analysis that suggests that there should be a U-shaped relationship between the degree of representational alignment with humans and performance on few-shot learning tasks. We c...
[ { "created": "Fri, 27 Jan 2023 21:03:19 GMT", "version": "v1" }, { "created": "Sun, 4 Jun 2023 15:01:39 GMT", "version": "v2" }, { "created": "Sun, 29 Oct 2023 19:45:09 GMT", "version": "v3" } ]
2023-10-31
[ [ "Sucholutsky", "Ilia", "" ], [ "Griffiths", "Thomas L.", "" ] ]
Should we care whether AI systems have representations of the world that are similar to those of humans? We provide an information-theoretic analysis that suggests that there should be a U-shaped relationship between the degree of representational alignment with humans and performance on few-shot learning tasks. We con...
2003.09696
Anup Das
Adarsha Balaji, Prathyusha Adiraju, Hirak J. Kashyap, Anup Das, Jeffrey L. Krichmar, Nikil D. Dutt, Francky Catthoor
PyCARL: A PyNN Interface for Hardware-Software Co-Simulation of Spiking Neural Network
10 pages, 25 figures. Accepted for publication at International Joint Conference on Neural Networks (IJCNN) 2020
null
null
null
cs.NE
http://creativecommons.org/licenses/by/4.0/
We present PyCARL, a PyNN-based common Python programming interface for hardware-software co-simulation of spiking neural network (SNN). Through PyCARL, we make the following two key contributions. First, we provide an interface of PyNN to CARLsim, a computationally-efficient, GPU-accelerated and biophysically-detail...
[ { "created": "Sat, 21 Mar 2020 16:37:03 GMT", "version": "v1" }, { "created": "Tue, 12 May 2020 13:31:08 GMT", "version": "v2" } ]
2020-05-13
[ [ "Balaji", "Adarsha", "" ], [ "Adiraju", "Prathyusha", "" ], [ "Kashyap", "Hirak J.", "" ], [ "Das", "Anup", "" ], [ "Krichmar", "Jeffrey L.", "" ], [ "Dutt", "Nikil D.", "" ], [ "Catthoor", "Francky", "" ...
We present PyCARL, a PyNN-based common Python programming interface for hardware-software co-simulation of spiking neural network (SNN). Through PyCARL, we make the following two key contributions. First, we provide an interface of PyNN to CARLsim, a computationally-efficient, GPU-accelerated and biophysically-detailed...
cs/0610071
Frederic Blanqui
Fr\'ed\'eric Blanqui (LIX)
Rewriting modulo in Deduction modulo
null
Dans Rewriting Techniques and Applications, 14th International Conference, RTA 2003 2706 (2003)
null
null
cs.LO
null
We study the termination of rewriting modulo a set of equations in the Calculus of Algebraic Constructions, an extension of the Calculus of Constructions with functions and predicates defined by higher-order rewrite rules. In a previous work, we defined general syntactic conditions based on the notion of computable c...
[ { "created": "Wed, 11 Oct 2006 15:21:50 GMT", "version": "v1" } ]
2016-08-16
[ [ "Blanqui", "Frédéric", "", "LIX" ] ]
We study the termination of rewriting modulo a set of equations in the Calculus of Algebraic Constructions, an extension of the Calculus of Constructions with functions and predicates defined by higher-order rewrite rules. In a previous work, we defined general syntactic conditions based on the notion of computable clo...
2003.01157
Konstantinos Michmizos
Guangzhi Tang, Neelesh Kumar, Konstantinos P. Michmizos
Reinforcement co-Learning of Deep and Spiking Neural Networks for Energy-Efficient Mapless Navigation with Neuromorphic Hardware
8 pages, 7 figures
null
null
null
cs.NE cs.LG cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Energy-efficient mapless navigation is crucial for mobile robots as they explore unknown environments with limited on-board resources. Although the recent deep reinforcement learning (DRL) approaches have been successfully applied to navigation, their high energy consumption limits their use in several robotic applic...
[ { "created": "Mon, 2 Mar 2020 19:39:16 GMT", "version": "v1" }, { "created": "Fri, 31 Jul 2020 22:25:13 GMT", "version": "v2" } ]
2020-08-04
[ [ "Tang", "Guangzhi", "" ], [ "Kumar", "Neelesh", "" ], [ "Michmizos", "Konstantinos P.", "" ] ]
Energy-efficient mapless navigation is crucial for mobile robots as they explore unknown environments with limited on-board resources. Although the recent deep reinforcement learning (DRL) approaches have been successfully applied to navigation, their high energy consumption limits their use in several robotic applicat...
0805.0883
EDA Publishing Association
H. Yang, T.-H. Tsai, C.-C. Hu
Portable Valve-less Peristaltic Micro-pump Design and Fabrication
Submitted on behalf of EDA Publishing Association (http://irevues.inist.fr/handle/2042/16838)
Dans Symposium on Design, Test, Integration and Packaging of MEMS/MOEMS - DTIP 2008, Nice : France (2008)
null
null
cs.OH
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper is to describe a design and fabrication method for a valve-less peristaltic micro-pump. The valve-less peristaltic micro-pump with three membrane chambers in a serial is actuated by three piezoelectric (PZT) actuators. With the fluidic flow design, liquid in the flow channel is pumped to a constant flow sp...
[ { "created": "Wed, 7 May 2008 09:07:22 GMT", "version": "v1" } ]
2008-12-18
[ [ "Yang", "H.", "" ], [ "Tsai", "T. -H.", "" ], [ "Hu", "C. -C.", "" ] ]
This paper is to describe a design and fabrication method for a valve-less peristaltic micro-pump. The valve-less peristaltic micro-pump with three membrane chambers in a serial is actuated by three piezoelectric (PZT) actuators. With the fluidic flow design, liquid in the flow channel is pumped to a constant flow spee...
1506.07338
Julien Bensmail
Julien Bensmail (LIP), Nick Brettell (LIP)
Orienting edges to fight fire in graphs
null
null
null
null
cs.DM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We investigate a new oriented variant of the Firefighter Problem. In the traditional Firefighter Problem, a fire breaks out at a given vertex of a graph, and at each time interval spreads to neighbouring vertices that have not been protected, while a constant number of vertices are protected at each time interval. In...
[ { "created": "Wed, 24 Jun 2015 12:19:45 GMT", "version": "v1" } ]
2015-06-25
[ [ "Bensmail", "Julien", "", "LIP" ], [ "Brettell", "Nick", "", "LIP" ] ]
We investigate a new oriented variant of the Firefighter Problem. In the traditional Firefighter Problem, a fire breaks out at a given vertex of a graph, and at each time interval spreads to neighbouring vertices that have not been protected, while a constant number of vertices are protected at each time interval. In t...
1901.09878
Alberto Marchisio
Alberto Marchisio, Giorgio Nanfa, Faiq Khalid, Muhammad Abdullah Hanif, Maurizio Martina, Muhammad Shafique
CapsAttacks: Robust and Imperceptible Adversarial Attacks on Capsule Networks
null
null
null
null
cs.LG cs.CR cs.CV eess.IV stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Capsule Networks preserve the hierarchical spatial relationships between objects, and thereby bears a potential to surpass the performance of traditional Convolutional Neural Networks (CNNs) in performing tasks like image classification. A large body of work has explored adversarial examples for CNNs, but their effec...
[ { "created": "Mon, 28 Jan 2019 18:50:52 GMT", "version": "v1" }, { "created": "Fri, 24 May 2019 12:52:46 GMT", "version": "v2" } ]
2019-05-27
[ [ "Marchisio", "Alberto", "" ], [ "Nanfa", "Giorgio", "" ], [ "Khalid", "Faiq", "" ], [ "Hanif", "Muhammad Abdullah", "" ], [ "Martina", "Maurizio", "" ], [ "Shafique", "Muhammad", "" ] ]
Capsule Networks preserve the hierarchical spatial relationships between objects, and thereby bears a potential to surpass the performance of traditional Convolutional Neural Networks (CNNs) in performing tasks like image classification. A large body of work has explored adversarial examples for CNNs, but their effecti...
1906.03708
Chin-Wei Huang
Chin-Wei Huang and Aaron Courville
Note on the bias and variance of variational inference
5 pages
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this note, we study the relationship between the variational gap and the variance of the (log) likelihood ratio. We show that the gap can be upper bounded by some form of dispersion measure of the likelihood ratio, which suggests the bias of variational inference can be reduced by making the distribution of the li...
[ { "created": "Sun, 9 Jun 2019 21:08:35 GMT", "version": "v1" } ]
2019-06-11
[ [ "Huang", "Chin-Wei", "" ], [ "Courville", "Aaron", "" ] ]
In this note, we study the relationship between the variational gap and the variance of the (log) likelihood ratio. We show that the gap can be upper bounded by some form of dispersion measure of the likelihood ratio, which suggests the bias of variational inference can be reduced by making the distribution of the like...
1804.09539
Yuxin Peng
Jinwei Qi, Yuxin Peng and Yuxin Yuan
Cross-media Multi-level Alignment with Relation Attention Network
7 pages, accepted by International Joint Conference on Artificial Intelligence (IJCAI) 2018
null
null
null
cs.MM cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With the rapid growth of multimedia data, such as image and text, it is a highly challenging problem to effectively correlate and retrieve the data of different media types. Naturally, when correlating an image with textual description, people focus on not only the alignment between discriminative image regions and k...
[ { "created": "Wed, 25 Apr 2018 13:22:38 GMT", "version": "v1" } ]
2018-04-26
[ [ "Qi", "Jinwei", "" ], [ "Peng", "Yuxin", "" ], [ "Yuan", "Yuxin", "" ] ]
With the rapid growth of multimedia data, such as image and text, it is a highly challenging problem to effectively correlate and retrieve the data of different media types. Naturally, when correlating an image with textual description, people focus on not only the alignment between discriminative image regions and key...
1506.05079
Przemys{\l}aw Uzna\'nski
Przemys{\l}aw Uzna\'nski
All Permutations Supersequence is coNP-complete
null
null
null
null
cs.CC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We prove that deciding whether a given input word contains as subsequence every possible permutation of integers $\{1,2,\ldots,n\}$ is coNP-complete. The coNP-completeness holds even when given the guarantee that the input word contains as subsequences all of length $n-1$ sequences over the same set of integers. We a...
[ { "created": "Tue, 16 Jun 2015 19:12:08 GMT", "version": "v1" }, { "created": "Thu, 9 Jul 2015 02:49:35 GMT", "version": "v2" } ]
2015-07-10
[ [ "Uznański", "Przemysław", "" ] ]
We prove that deciding whether a given input word contains as subsequence every possible permutation of integers $\{1,2,\ldots,n\}$ is coNP-complete. The coNP-completeness holds even when given the guarantee that the input word contains as subsequences all of length $n-1$ sequences over the same set of integers. We als...
2406.17947
Venkata S Govindarajan
Venkata S Govindarajan, Matianyu Zang, Kyle Mahowald, David Beaver, Junyi Jessy Li
Do they mean 'us'? Interpreting Referring Expressions in Intergroup Bias
null
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
The variations between in-group and out-group speech (intergroup bias) are subtle and could underlie many social phenomena like stereotype perpetuation and implicit bias. In this paper, we model the intergroup bias as a tagging task on English sports comments from forums dedicated to fandom for NFL teams. We curate a...
[ { "created": "Tue, 25 Jun 2024 21:47:53 GMT", "version": "v1" } ]
2024-06-27
[ [ "Govindarajan", "Venkata S", "" ], [ "Zang", "Matianyu", "" ], [ "Mahowald", "Kyle", "" ], [ "Beaver", "David", "" ], [ "Li", "Junyi Jessy", "" ] ]
The variations between in-group and out-group speech (intergroup bias) are subtle and could underlie many social phenomena like stereotype perpetuation and implicit bias. In this paper, we model the intergroup bias as a tagging task on English sports comments from forums dedicated to fandom for NFL teams. We curate a u...
2011.08824
Kimberly Wilber
Andreas Veit, Kimberly Wilber
Improving Calibration in Deep Metric Learning With Cross-Example Softmax
9 pages
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Modern image retrieval systems increasingly rely on the use of deep neural networks to learn embedding spaces in which distance encodes the relevance between a given query and image. In this setting, existing approaches tend to emphasize one of two properties. Triplet-based methods capture top-$k$ relevancy, where al...
[ { "created": "Tue, 17 Nov 2020 18:47:28 GMT", "version": "v1" } ]
2020-11-18
[ [ "Veit", "Andreas", "" ], [ "Wilber", "Kimberly", "" ] ]
Modern image retrieval systems increasingly rely on the use of deep neural networks to learn embedding spaces in which distance encodes the relevance between a given query and image. In this setting, existing approaches tend to emphasize one of two properties. Triplet-based methods capture top-$k$ relevancy, where all ...
2103.15331
Zhe Li
Zhe Li, Tao Yu, Zerong Zheng, Kaiwen Guo, Yebin Liu
POSEFusion: Pose-guided Selective Fusion for Single-view Human Volumetric Capture
CVPR 2021 (Oral presentation), for more information, please refer to the projectpage http://www.liuyebin.com/posefusion/posefusion.html
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose POse-guided SElective Fusion (POSEFusion), a single-view human volumetric capture method that leverages tracking-based methods and tracking-free inference to achieve high-fidelity and dynamic 3D reconstruction. By contributing a novel reconstruction framework which contains pose-guided keyframe selection a...
[ { "created": "Mon, 29 Mar 2021 04:56:53 GMT", "version": "v1" } ]
2021-03-30
[ [ "Li", "Zhe", "" ], [ "Yu", "Tao", "" ], [ "Zheng", "Zerong", "" ], [ "Guo", "Kaiwen", "" ], [ "Liu", "Yebin", "" ] ]
We propose POse-guided SElective Fusion (POSEFusion), a single-view human volumetric capture method that leverages tracking-based methods and tracking-free inference to achieve high-fidelity and dynamic 3D reconstruction. By contributing a novel reconstruction framework which contains pose-guided keyframe selection and...
1406.1563
EPTCS
Benjamin Selfridge (University of Texas at Austin)
An ACL2 Mechanization of an Axiomatic Framework for Weak Memory
In Proceedings ACL2 2014, arXiv:1406.1238
EPTCS 152, 2014, pp. 129-144
10.4204/EPTCS.152.11
null
cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Proving the correctness of programs written for multiple processors is a challenging problem, due in no small part to the weaker memory guarantees afforded by most modern architectures. In particular, the existence of store buffers means that the programmer can no longer assume that writes to different locations beco...
[ { "created": "Fri, 6 Jun 2014 01:48:37 GMT", "version": "v1" } ]
2014-06-09
[ [ "Selfridge", "Benjamin", "", "University of Texas at Austin" ] ]
Proving the correctness of programs written for multiple processors is a challenging problem, due in no small part to the weaker memory guarantees afforded by most modern architectures. In particular, the existence of store buffers means that the programmer can no longer assume that writes to different locations become...
2304.09512
Jie Hou
Jie Hou, Jiakang Li, Xiaokang Peng, Wei Ke, Yonggang Lu
Community Detection Using Revised Medoid-Shift Based on KNN
null
null
10.1007/978-981-99-4752-2_29
null
cs.SI cs.LG
http://creativecommons.org/licenses/by-nc-sa/4.0/
Community detection becomes an important problem with the booming of social networks. The Medoid-Shift algorithm preserves the benefits of Mean-Shift and can be applied to problems based on distance matrix, such as community detection. One drawback of the Medoid-Shift algorithm is that there may be no data points wit...
[ { "created": "Wed, 19 Apr 2023 09:02:24 GMT", "version": "v1" }, { "created": "Tue, 19 Sep 2023 07:37:49 GMT", "version": "v2" } ]
2023-09-20
[ [ "Hou", "Jie", "" ], [ "Li", "Jiakang", "" ], [ "Peng", "Xiaokang", "" ], [ "Ke", "Wei", "" ], [ "Lu", "Yonggang", "" ] ]
Community detection becomes an important problem with the booming of social networks. The Medoid-Shift algorithm preserves the benefits of Mean-Shift and can be applied to problems based on distance matrix, such as community detection. One drawback of the Medoid-Shift algorithm is that there may be no data points withi...
1109.1364
EPTCS
Luca Bortolussi (Dept. of Mathematics and Informatics, University of Trieste, Italy.), Alberto Policriti (Dept. of Mathematics and Informatics, University of Udine, Italy. Institute of Applied Genomics, Udine, Italy.)
Programmable models of growth and mutation of cancer-cell populations
In Proceedings CompMod 2011, arXiv:1109.1044
EPTCS 67, 2011, pp. 19-33
10.4204/EPTCS.67.4
null
cs.CE q-bio.CB
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we propose a systematic approach to construct mathematical models describing populations of cancer-cells at different stages of disease development. The methodology we propose is based on stochastic Concurrent Constraint Programming, a flexible stochastic modelling language. The methodology is tested on...
[ { "created": "Wed, 7 Sep 2011 06:27:16 GMT", "version": "v1" } ]
2011-09-08
[ [ "Bortolussi", "Luca", "", "Dept. of Mathematics and Informatics, University of\n Trieste, Italy." ], [ "Policriti", "Alberto", "", "Dept. of Mathematics and Informatics,\n University of Udine, Italy. Institute of Applied Genomics, Udine, Italy." ] ]
In this paper we propose a systematic approach to construct mathematical models describing populations of cancer-cells at different stages of disease development. The methodology we propose is based on stochastic Concurrent Constraint Programming, a flexible stochastic modelling language. The methodology is tested on (...
2208.11732
Ryan Pederson
Henning S. Mortveit and Ryan Pederson
Attractor Stability in Finite Asynchronous Biological System Models
null
Bulletin of Mathematical Biology 81.5 (2019): 1442-1460
10.1007/s11538-018-00565-x
null
cs.DM math.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present mathematical techniques for exhaustive studies of long-term dynamics of asynchronous biological system models. Specifically, we extend the notion of $\kappa$-equivalence developed for graph dynamical systems to support systematic analysis of all possible attractor configurations that can be generated when ...
[ { "created": "Wed, 24 Aug 2022 18:35:45 GMT", "version": "v1" } ]
2022-08-26
[ [ "Mortveit", "Henning S.", "" ], [ "Pederson", "Ryan", "" ] ]
We present mathematical techniques for exhaustive studies of long-term dynamics of asynchronous biological system models. Specifically, we extend the notion of $\kappa$-equivalence developed for graph dynamical systems to support systematic analysis of all possible attractor configurations that can be generated when va...
2405.18161
Mark Vero
Ang\'eline Pouget, Nikola Jovanovi\'c, Mark Vero, Robin Staab, Martin Vechev
Back to the Drawing Board for Fair Representation Learning
null
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by/4.0/
The goal of Fair Representation Learning (FRL) is to mitigate biases in machine learning models by learning data representations that enable high accuracy on downstream tasks while minimizing discrimination based on sensitive attributes. The evaluation of FRL methods in many recent works primarily focuses on the trad...
[ { "created": "Tue, 28 May 2024 13:23:04 GMT", "version": "v1" } ]
2024-05-29
[ [ "Pouget", "Angéline", "" ], [ "Jovanović", "Nikola", "" ], [ "Vero", "Mark", "" ], [ "Staab", "Robin", "" ], [ "Vechev", "Martin", "" ] ]
The goal of Fair Representation Learning (FRL) is to mitigate biases in machine learning models by learning data representations that enable high accuracy on downstream tasks while minimizing discrimination based on sensitive attributes. The evaluation of FRL methods in many recent works primarily focuses on the tradeo...
1703.08577
Jacob Schrum
Alex C. Rollins and Jacob Schrum
Balancing Selection Pressures, Multiple Objectives, and Neural Modularity to Coevolve Cooperative Agent Behavior
null
null
null
null
cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Previous research using evolutionary computation in Multi-Agent Systems indicates that assigning fitness based on team vs.\ individual behavior has a strong impact on the ability of evolved teams of artificial agents to exhibit teamwork in challenging tasks. However, such research only made use of single-objective ev...
[ { "created": "Fri, 24 Mar 2017 19:27:51 GMT", "version": "v1" } ]
2017-03-28
[ [ "Rollins", "Alex C.", "" ], [ "Schrum", "Jacob", "" ] ]
Previous research using evolutionary computation in Multi-Agent Systems indicates that assigning fitness based on team vs.\ individual behavior has a strong impact on the ability of evolved teams of artificial agents to exhibit teamwork in challenging tasks. However, such research only made use of single-objective evol...
2402.15589
Shubhra Kanti Karmaker Santu
Shubhra Kanti Karmaker Santu, Sanjeev Kumar Sinha, Naman Bansal, Alex Knipper, Souvika Sarkar, John Salvador, Yash Mahajan, Sri Guttikonda, Mousumi Akter, Matthew Freestone, Matthew C. Williams Jr
Prompting LLMs to Compose Meta-Review Drafts from Peer-Review Narratives of Scholarly Manuscripts
null
null
null
null
cs.CL cs.AI cs.LG cs.NE
http://creativecommons.org/licenses/by/4.0/
One of the most important yet onerous tasks in the academic peer-reviewing process is composing meta-reviews, which involves understanding the core contributions, strengths, and weaknesses of a scholarly manuscript based on peer-review narratives from multiple experts and then summarizing those multiple experts' pers...
[ { "created": "Fri, 23 Feb 2024 20:14:16 GMT", "version": "v1" } ]
2024-02-27
[ [ "Santu", "Shubhra Kanti Karmaker", "" ], [ "Sinha", "Sanjeev Kumar", "" ], [ "Bansal", "Naman", "" ], [ "Knipper", "Alex", "" ], [ "Sarkar", "Souvika", "" ], [ "Salvador", "John", "" ], [ "Mahajan", "Yash", ...
One of the most important yet onerous tasks in the academic peer-reviewing process is composing meta-reviews, which involves understanding the core contributions, strengths, and weaknesses of a scholarly manuscript based on peer-review narratives from multiple experts and then summarizing those multiple experts' perspe...
1702.01443
Ashraf Shahin
Ashraf A. Shahin
Enhancing Elasticity of SaaS Applications using Queuing Theory
http://thesai.org/Downloads/Volume8No1/Paper_36-Enhancing_Elasticity_of_SaaS_Applications_using_Queuing_Theory.pdf
International Journal of Advanced Computer Science and Applications(IJACSA), 8(1), 2017
10.14569/IJACSA.2017.080136
null
cs.DC
http://creativecommons.org/publicdomain/zero/1.0/
Elasticity is one of key features of cloud computing. Elasticity allows Software as a Service (SaaS) applications' provider to reduce cost of running applications. In large SaaS applications that are developed using service-oriented architecture model, each service is deployed in a separated virtual machine and may u...
[ { "created": "Sun, 5 Feb 2017 19:18:58 GMT", "version": "v1" } ]
2017-02-07
[ [ "Shahin", "Ashraf A.", "" ] ]
Elasticity is one of key features of cloud computing. Elasticity allows Software as a Service (SaaS) applications' provider to reduce cost of running applications. In large SaaS applications that are developed using service-oriented architecture model, each service is deployed in a separated virtual machine and may use...
1702.07802
Ali Yekkehkhany
Ali Yekkehkhany
Near-Data Scheduling for Data Centers with Multiple Levels of Data Locality
null
null
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Data locality is a fundamental issue for data-parallel applications. Considering MapReduce in Hadoop, the map task scheduling part requires an efficient algorithm which takes data locality into consideration; otherwise, the system may become unstable under loads inside the system's capacity region and jobs may experi...
[ { "created": "Fri, 24 Feb 2017 23:36:26 GMT", "version": "v1" }, { "created": "Thu, 13 Apr 2017 17:39:36 GMT", "version": "v2" } ]
2017-04-14
[ [ "Yekkehkhany", "Ali", "" ] ]
Data locality is a fundamental issue for data-parallel applications. Considering MapReduce in Hadoop, the map task scheduling part requires an efficient algorithm which takes data locality into consideration; otherwise, the system may become unstable under loads inside the system's capacity region and jobs may experien...
0907.5127
EPTCS
Viliam Geffert, Lubom\'ira I\v{s}to\v{n}ov\'a
Translation from Classical Two-Way Automata to Pebble Two-Way Automata
null
EPTCS 3, 2009, pp. 131-140
10.4204/EPTCS.3.12
null
cs.FL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the relation between the standard two-way automata and more powerful devices, namely, two-way finite automata with an additional "pebble" movable along the input tape. Similarly as in the case of the classical two-way machines, it is not known whether there exists a polynomial trade-off, in the number of sta...
[ { "created": "Wed, 29 Jul 2009 13:39:09 GMT", "version": "v1" } ]
2009-07-30
[ [ "Geffert", "Viliam", "" ], [ "Ištoňová", "Lubomíra", "" ] ]
We study the relation between the standard two-way automata and more powerful devices, namely, two-way finite automata with an additional "pebble" movable along the input tape. Similarly as in the case of the classical two-way machines, it is not known whether there exists a polynomial trade-off, in the number of state...
1103.2952
Wei Chen Ph.D.
Wei Chen
Data sets of very large linear feasibility problems solved by projection methods
4 pages, 1 table
null
null
null
cs.MS math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We give a link to a page on the Web on which we deposited a set of eight huge Linear Programming (LP) problems for Intensity-Modulated Proton Therapy (IMPT) treatment planning. These huge LP problems were employed in our recent research and we were asked to make them public.
[ { "created": "Mon, 14 Mar 2011 15:20:46 GMT", "version": "v1" } ]
2011-03-16
[ [ "Chen", "Wei", "" ] ]
We give a link to a page on the Web on which we deposited a set of eight huge Linear Programming (LP) problems for Intensity-Modulated Proton Therapy (IMPT) treatment planning. These huge LP problems were employed in our recent research and we were asked to make them public.
2302.04552
Peng Zhao
Sijia Chen, Yu-Jie Zhang, Wei-Wei Tu, Peng Zhao, Lijun Zhang
Optimistic Online Mirror Descent for Bridging Stochastic and Adversarial Online Convex Optimization
v3 substantially improves the presentation and has a few improvements, including the regret bound for strongly convex functions; v2 is an extended version that enriches the content with improved regret bounds for strongly convex functions, discussions on the optimism design for dynamic regret minimization, and ...
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Stochastically Extended Adversarial (SEA) model is introduced by Sachs et al. [2022] as an interpolation between stochastic and adversarial online convex optimization. Under the smoothness condition, they demonstrate that the expected regret of optimistic follow-the-regularized-leader (FTRL) depends on the cumulative...
[ { "created": "Thu, 9 Feb 2023 10:42:11 GMT", "version": "v1" }, { "created": "Tue, 22 Aug 2023 04:36:47 GMT", "version": "v2" }, { "created": "Sat, 16 Mar 2024 15:36:02 GMT", "version": "v3" } ]
2024-03-19
[ [ "Chen", "Sijia", "" ], [ "Zhang", "Yu-Jie", "" ], [ "Tu", "Wei-Wei", "" ], [ "Zhao", "Peng", "" ], [ "Zhang", "Lijun", "" ] ]
Stochastically Extended Adversarial (SEA) model is introduced by Sachs et al. [2022] as an interpolation between stochastic and adversarial online convex optimization. Under the smoothness condition, they demonstrate that the expected regret of optimistic follow-the-regularized-leader (FTRL) depends on the cumulative s...
2407.06931
Jesse Jiang
Jesse Jiang, Samuel Coogan, Ye Zhao
A Unified Approach to Multi-task Legged Navigation: Temporal Logic Meets Reinforcement Learning
8 pages, 4 figures
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This study examines the problem of hopping robot navigation planning to achieve simultaneous goal-directed and environment exploration tasks. We consider a scenario in which the robot has mandatory goal-directed tasks defined using Linear Temporal Logic (LTL) specifications as well as optional exploration tasks repre...
[ { "created": "Tue, 9 Jul 2024 15:06:52 GMT", "version": "v1" } ]
2024-07-10
[ [ "Jiang", "Jesse", "" ], [ "Coogan", "Samuel", "" ], [ "Zhao", "Ye", "" ] ]
This study examines the problem of hopping robot navigation planning to achieve simultaneous goal-directed and environment exploration tasks. We consider a scenario in which the robot has mandatory goal-directed tasks defined using Linear Temporal Logic (LTL) specifications as well as optional exploration tasks represe...
1909.06993
Rogerio Bonatti
Rogerio Bonatti and Ratnesh Madaan and Vibhav Vineet and Sebastian Scherer and Ashish Kapoor
Learning Visuomotor Policies for Aerial Navigation Using Cross-Modal Representations
null
null
null
null
cs.CV cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Machines are a long way from robustly solving open-world perception-control tasks, such as first-person view (FPV) aerial navigation. While recent advances in end-to-end Machine Learning, especially Imitation and Reinforcement Learning appear promising, they are constrained by the need of large amounts of difficult-t...
[ { "created": "Mon, 16 Sep 2019 05:23:14 GMT", "version": "v1" }, { "created": "Sun, 8 Mar 2020 13:22:41 GMT", "version": "v2" } ]
2020-03-10
[ [ "Bonatti", "Rogerio", "" ], [ "Madaan", "Ratnesh", "" ], [ "Vineet", "Vibhav", "" ], [ "Scherer", "Sebastian", "" ], [ "Kapoor", "Ashish", "" ] ]
Machines are a long way from robustly solving open-world perception-control tasks, such as first-person view (FPV) aerial navigation. While recent advances in end-to-end Machine Learning, especially Imitation and Reinforcement Learning appear promising, they are constrained by the need of large amounts of difficult-to-...
2007.00644
Rohan Taori
Rohan Taori, Achal Dave, Vaishaal Shankar, Nicholas Carlini, Benjamin Recht, Ludwig Schmidt
Measuring Robustness to Natural Distribution Shifts in Image Classification
null
null
null
null
cs.LG cs.CV stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study how robust current ImageNet models are to distribution shifts arising from natural variations in datasets. Most research on robustness focuses on synthetic image perturbations (noise, simulated weather artifacts, adversarial examples, etc.), which leaves open how robustness on synthetic distribution shift re...
[ { "created": "Wed, 1 Jul 2020 17:53:26 GMT", "version": "v1" }, { "created": "Mon, 14 Sep 2020 09:55:13 GMT", "version": "v2" } ]
2020-09-15
[ [ "Taori", "Rohan", "" ], [ "Dave", "Achal", "" ], [ "Shankar", "Vaishaal", "" ], [ "Carlini", "Nicholas", "" ], [ "Recht", "Benjamin", "" ], [ "Schmidt", "Ludwig", "" ] ]
We study how robust current ImageNet models are to distribution shifts arising from natural variations in datasets. Most research on robustness focuses on synthetic image perturbations (noise, simulated weather artifacts, adversarial examples, etc.), which leaves open how robustness on synthetic distribution shift rela...
1902.05197
Linshan Jiang
Linshan Jiang and Rui Tan and Xin Lou and Guosheng Lin
On Lightweight Privacy-Preserving Collaborative Learning for IoT Objects
12 pages,IOTDI 2019
null
10.1145/3302505.3310070
null
cs.LG cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The Internet of Things (IoT) will be a main data generation infrastructure for achieving better system intelligence. This paper considers the design and implementation of a practical privacy-preserving collaborative learning scheme, in which a curious learning coordinator trains a better machine learning model based ...
[ { "created": "Wed, 13 Feb 2019 06:31:21 GMT", "version": "v1" } ]
2019-02-15
[ [ "Jiang", "Linshan", "" ], [ "Tan", "Rui", "" ], [ "Lou", "Xin", "" ], [ "Lin", "Guosheng", "" ] ]
The Internet of Things (IoT) will be a main data generation infrastructure for achieving better system intelligence. This paper considers the design and implementation of a practical privacy-preserving collaborative learning scheme, in which a curious learning coordinator trains a better machine learning model based on...