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1305.3803
Hassan Mansour
Hassan Mansour and Ozgur Yilmaz
A fast randomized Kaczmarz algorithm for sparse solutions of consistent linear systems
null
null
null
null
cs.NA cs.IT math.IT math.NA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The Kaczmarz algorithm is a popular solver for overdetermined linear systems due to its simplicity and speed. In this paper, we propose a modification that speeds up the convergence of the randomized Kaczmarz algorithm for systems of linear equations with sparse solutions. The speedup is achieved by projecting every ...
[ { "created": "Thu, 16 May 2013 13:44:42 GMT", "version": "v1" } ]
2013-05-17
[ [ "Mansour", "Hassan", "" ], [ "Yilmaz", "Ozgur", "" ] ]
The Kaczmarz algorithm is a popular solver for overdetermined linear systems due to its simplicity and speed. In this paper, we propose a modification that speeds up the convergence of the randomized Kaczmarz algorithm for systems of linear equations with sparse solutions. The speedup is achieved by projecting every it...
2306.12457
Ruhan Liu
Ruhan Liu, Jiajia Li, Yang Wen, Huating Li, Ping Zhang, Bin Sheng, David Dagan Feng
Deep Dynamic Epidemiological Modelling for COVID-19 Forecasting in Multi-level Districts
null
null
null
null
cs.LG cs.AI q-bio.PE
http://creativecommons.org/licenses/by-nc-sa/4.0/
Objective: COVID-19 has spread worldwide and made a huge influence across the world. Modeling the infectious spread situation of COVID-19 is essential to understand the current condition and to formulate intervention measurements. Epidemiological equations based on the SEIR model simulate disease development. The tra...
[ { "created": "Wed, 21 Jun 2023 06:30:02 GMT", "version": "v1" } ]
2023-06-23
[ [ "Liu", "Ruhan", "" ], [ "Li", "Jiajia", "" ], [ "Wen", "Yang", "" ], [ "Li", "Huating", "" ], [ "Zhang", "Ping", "" ], [ "Sheng", "Bin", "" ], [ "Feng", "David Dagan", "" ] ]
Objective: COVID-19 has spread worldwide and made a huge influence across the world. Modeling the infectious spread situation of COVID-19 is essential to understand the current condition and to formulate intervention measurements. Epidemiological equations based on the SEIR model simulate disease development. The tradi...
2110.05702
Homanga Bharadhwaj
Homanga Bharadhwaj
Auditing Robot Learning for Safety and Compliance during Deployment
Blue Sky paper at the 5th Conference on Robot Learning (CoRL 2021)
null
null
null
cs.RO cs.AI cs.LG
http://creativecommons.org/licenses/by/4.0/
Robots of the future are going to exhibit increasingly human-like and super-human intelligence in a myriad of different tasks. They are also likely going to fail and be incompliant with human preferences in increasingly subtle ways. Towards the goal of achieving autonomous robots, the robot learning community has mad...
[ { "created": "Tue, 12 Oct 2021 02:40:11 GMT", "version": "v1" } ]
2021-10-13
[ [ "Bharadhwaj", "Homanga", "" ] ]
Robots of the future are going to exhibit increasingly human-like and super-human intelligence in a myriad of different tasks. They are also likely going to fail and be incompliant with human preferences in increasingly subtle ways. Towards the goal of achieving autonomous robots, the robot learning community has made ...
2304.07514
Ahmad Khan
Ahmad Faraz Khan, Xinran Wang, Qi Le, Azal Ahmad Khan, Haider Ali, Jie Ding, Ali Butt, Ali Anwar
PI-FL: Personalized and Incentivized Federated Learning
null
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Personalized FL has been widely used to cater to heterogeneity challenges with non-IID data. A primary obstacle is considering the personalization process from the client's perspective to preserve their autonomy. Allowing the clients to participate in personalized FL decisions becomes significant due to privacy and s...
[ { "created": "Sat, 15 Apr 2023 09:02:06 GMT", "version": "v1" }, { "created": "Thu, 27 Apr 2023 15:36:55 GMT", "version": "v2" } ]
2023-04-28
[ [ "Khan", "Ahmad Faraz", "" ], [ "Wang", "Xinran", "" ], [ "Le", "Qi", "" ], [ "Khan", "Azal Ahmad", "" ], [ "Ali", "Haider", "" ], [ "Ding", "Jie", "" ], [ "Butt", "Ali", "" ], [ "Anwar", "Ali", ...
Personalized FL has been widely used to cater to heterogeneity challenges with non-IID data. A primary obstacle is considering the personalization process from the client's perspective to preserve their autonomy. Allowing the clients to participate in personalized FL decisions becomes significant due to privacy and sec...
1808.09479
Mohammadzaman Zamani
Mohammadzaman Zamani, H. Andrew Schwartz, Veronica E. Lynn, Salvatore Giorgi and Niranjan Balasubramanian
Residualized Factor Adaptation for Community Social Media Prediction Tasks
Conference on Empirical Methods in Natural Language Processing (EMNLP 2018)
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, pages 3560-3569, 2018
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Predictive models over social media language have shown promise in capturing community outcomes, but approaches thus far largely neglect the socio-demographic context (e.g. age, education rates, race) of the community from which the language originates. For example, it may be inaccurate to assume people in Mobile, Al...
[ { "created": "Tue, 28 Aug 2018 18:23:56 GMT", "version": "v1" } ]
2019-04-17
[ [ "Zamani", "Mohammadzaman", "" ], [ "Schwartz", "H. Andrew", "" ], [ "Lynn", "Veronica E.", "" ], [ "Giorgi", "Salvatore", "" ], [ "Balasubramanian", "Niranjan", "" ] ]
Predictive models over social media language have shown promise in capturing community outcomes, but approaches thus far largely neglect the socio-demographic context (e.g. age, education rates, race) of the community from which the language originates. For example, it may be inaccurate to assume people in Mobile, Alab...
2105.12479
Celia Cintas
Celia Cintas, Skyler Speakman, Girmaw Abebe Tadesse, Victor Akinwande, Edward McFowland III, Komminist Weldemariam
Pattern Detection in the Activation Space for Identifying Synthesized Content
The paper is under consideration at Pattern Recognition Letters
null
null
null
cs.CV cs.CR cs.LG
http://creativecommons.org/licenses/by/4.0/
Generative Adversarial Networks (GANs) have recently achieved unprecedented success in photo-realistic image synthesis from low-dimensional random noise. The ability to synthesize high-quality content at a large scale brings potential risks as the generated samples may lead to misinformation that can create severe so...
[ { "created": "Wed, 26 May 2021 11:28:36 GMT", "version": "v1" }, { "created": "Thu, 27 May 2021 08:40:27 GMT", "version": "v2" } ]
2021-05-28
[ [ "Cintas", "Celia", "" ], [ "Speakman", "Skyler", "" ], [ "Tadesse", "Girmaw Abebe", "" ], [ "Akinwande", "Victor", "" ], [ "McFowland", "Edward", "III" ], [ "Weldemariam", "Komminist", "" ] ]
Generative Adversarial Networks (GANs) have recently achieved unprecedented success in photo-realistic image synthesis from low-dimensional random noise. The ability to synthesize high-quality content at a large scale brings potential risks as the generated samples may lead to misinformation that can create severe soci...
1409.7476
Michel Fliess
C\'edric Join (INRIA Lille - Nord Europe, CRAN, AL.I.E.N.), Cyril Voyant (SPE), Michel Fliess (AL.I.E.N., LIX), Marc Muselli (SPE), Marie Laure Nivet (SPE), Christophe Paoli, Fr\'ed\'eric Chaxel (CRAN)
Short-term solar irradiance and irradiation forecasts via different time series techniques: A preliminary study
null
3rd International Symposium on Environment-Friendly Energies and Applications (EFEA 2014), Pars : France (2014)
null
null
cs.LG physics.ao-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This communication is devoted to solar irradiance and irradiation short-term forecasts, which are useful for electricity production. Several different time series approaches are employed. Our results and the corresponding numerical simulations show that techniques which do not need a large amount of historical data b...
[ { "created": "Fri, 26 Sep 2014 06:27:30 GMT", "version": "v1" } ]
2014-09-29
[ [ "Join", "Cédric", "", "INRIA Lille - Nord Europe, CRAN, AL.I.E.N." ], [ "Voyant", "Cyril", "", "SPE" ], [ "Fliess", "Michel", "", "AL.I.E.N., LIX" ], [ "Muselli", "Marc", "", "SPE" ], [ "Nivet", "Marie Laure", "", "SPE...
This communication is devoted to solar irradiance and irradiation short-term forecasts, which are useful for electricity production. Several different time series approaches are employed. Our results and the corresponding numerical simulations show that techniques which do not need a large amount of historical data beh...
1703.00835
Simon Hangl
Simon Hangl, Sebastian Stabinger, Justus Piater
Autonomous Skill-centric Testing using Deep Learning
null
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Software testing is an important tool to ensure software quality. This is a hard task in robotics due to dynamic environments and the expensive development and time-consuming execution of test cases. Most testing approaches use model-based and / or simulation-based testing to overcome these problems. We propose model...
[ { "created": "Thu, 2 Mar 2017 15:41:48 GMT", "version": "v1" }, { "created": "Tue, 21 Mar 2017 15:07:04 GMT", "version": "v2" }, { "created": "Sun, 13 Aug 2017 11:40:32 GMT", "version": "v3" } ]
2017-08-15
[ [ "Hangl", "Simon", "" ], [ "Stabinger", "Sebastian", "" ], [ "Piater", "Justus", "" ] ]
Software testing is an important tool to ensure software quality. This is a hard task in robotics due to dynamic environments and the expensive development and time-consuming execution of test cases. Most testing approaches use model-based and / or simulation-based testing to overcome these problems. We propose model-f...
2305.04572
Grzegorz Chrupa{\l}a
Grzegorz Chrupa{\l}a
Putting Natural in Natural Language Processing
Findings of the ACL 2023
null
null
null
cs.CL cs.AI eess.AS
http://creativecommons.org/licenses/by/4.0/
Human language is firstly spoken and only secondarily written. Text, however, is a very convenient and efficient representation of language, and modern civilization has made it ubiquitous. Thus the field of NLP has overwhelmingly focused on processing written rather than spoken language. Work on spoken language, on t...
[ { "created": "Mon, 8 May 2023 09:29:31 GMT", "version": "v1" }, { "created": "Tue, 23 May 2023 14:15:00 GMT", "version": "v2" } ]
2023-05-24
[ [ "Chrupała", "Grzegorz", "" ] ]
Human language is firstly spoken and only secondarily written. Text, however, is a very convenient and efficient representation of language, and modern civilization has made it ubiquitous. Thus the field of NLP has overwhelmingly focused on processing written rather than spoken language. Work on spoken language, on the...
2404.18170
Ianna Osborne
Ianna Osborne, Jim Pivarski, Jerry Ling
Bridging Worlds: Achieving Language Interoperability between Julia and Python in Scientific Computing
8 pages, 1 figure, ACAT2024 workshop
null
null
null
cs.PL physics.data-an
http://creativecommons.org/licenses/by-nc-nd/4.0/
In the realm of scientific computing, both Julia and Python have established themselves as powerful tools. Within the context of High Energy Physics (HEP) data analysis, Python has been traditionally favored, yet there exists a compelling case for migrating legacy software to Julia. This article focuses on language i...
[ { "created": "Sun, 28 Apr 2024 12:58:15 GMT", "version": "v1" } ]
2024-04-30
[ [ "Osborne", "Ianna", "" ], [ "Pivarski", "Jim", "" ], [ "Ling", "Jerry", "" ] ]
In the realm of scientific computing, both Julia and Python have established themselves as powerful tools. Within the context of High Energy Physics (HEP) data analysis, Python has been traditionally favored, yet there exists a compelling case for migrating legacy software to Julia. This article focuses on language int...
1801.07402
Mohammad Vahid Jamali
Mohammad Vahid Jamali, Ali Mirani, Alireza Parsay, Bahman Abolhassani, Pooya Nabavi, Ata Chizari, Pirazh Khorramshahi, Sajjad Abdollahramezani, and Jawad A. Salehi
Statistical Studies of Fading in Underwater Wireless Optical Channels in the Presence of Air Bubble, Temperature, and Salinity Random Variations (Long Version)
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Optical signal propagation through underwater channels is affected by three main degrading phenomena, namely absorption, scattering, and fading. In this paper, we experimentally study the statistical distribution of intensity fluctuations in underwater wireless optical channels with random temperature and salinity va...
[ { "created": "Tue, 23 Jan 2018 06:00:36 GMT", "version": "v1" }, { "created": "Mon, 5 Feb 2018 00:16:47 GMT", "version": "v2" } ]
2018-02-06
[ [ "Jamali", "Mohammad Vahid", "" ], [ "Mirani", "Ali", "" ], [ "Parsay", "Alireza", "" ], [ "Abolhassani", "Bahman", "" ], [ "Nabavi", "Pooya", "" ], [ "Chizari", "Ata", "" ], [ "Khorramshahi", "Pirazh", "" ...
Optical signal propagation through underwater channels is affected by three main degrading phenomena, namely absorption, scattering, and fading. In this paper, we experimentally study the statistical distribution of intensity fluctuations in underwater wireless optical channels with random temperature and salinity vari...
1410.4095
Ana Salagean
Ana S\u{a}l\u{a}gean, Matei Mandache-S\u{a}l\u{a}gean, Richard Winter, Raphael C.-W. Phan
Higher Order Differentiation over Finite Fields with Applications to Generalising the Cube Attack
submitted to a journal
Designs Codes Cryptography 84, 425-449 (2017)
10.1007/s10623-016-0277-5
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Higher order differentiation was introduced in a cryptographic context by Lai. Several attacks can be viewed in the context of higher order differentiations, amongst them the cube attack and the AIDA attack. All of the above have been developed for the binary case. We examine differentiation in larger fields, start...
[ { "created": "Wed, 15 Oct 2014 15:13:08 GMT", "version": "v1" } ]
2023-06-22
[ [ "Sălăgean", "Ana", "" ], [ "Mandache-Sălăgean", "Matei", "" ], [ "Winter", "Richard", "" ], [ "Phan", "Raphael C. -W.", "" ] ]
Higher order differentiation was introduced in a cryptographic context by Lai. Several attacks can be viewed in the context of higher order differentiations, amongst them the cube attack and the AIDA attack. All of the above have been developed for the binary case. We examine differentiation in larger fields, starting ...
2407.16062
Nina Deliu
Nina Deliu and Bibhas Chakraborty
Artificial Intelligence-based Decision Support Systems for Precision and Digital Health
arXiv admin note: substantial text overlap with arXiv:2203.02605
null
null
null
cs.AI cs.LG stat.ML
http://creativecommons.org/licenses/by-nc-sa/4.0/
Precision health, increasingly supported by digital technologies, is a domain of research that broadens the paradigm of precision medicine, advancing everyday healthcare. This vision goes hand in hand with the groundbreaking advent of artificial intelligence (AI), which is reshaping the way we diagnose, treat, and mo...
[ { "created": "Mon, 22 Jul 2024 21:39:34 GMT", "version": "v1" } ]
2024-07-24
[ [ "Deliu", "Nina", "" ], [ "Chakraborty", "Bibhas", "" ] ]
Precision health, increasingly supported by digital technologies, is a domain of research that broadens the paradigm of precision medicine, advancing everyday healthcare. This vision goes hand in hand with the groundbreaking advent of artificial intelligence (AI), which is reshaping the way we diagnose, treat, and moni...
1311.2503
Stefan Richthofer
Stefan Richthofer, Laurenz Wiskott
Predictable Feature Analysis
null
null
null
null
cs.LG stat.ML
http://creativecommons.org/licenses/by-nc-sa/3.0/
Every organism in an environment, whether biological, robotic or virtual, must be able to predict certain aspects of its environment in order to survive or perform whatever task is intended. It needs a model that is capable of estimating the consequences of possible actions, so that planning, control, and decision-ma...
[ { "created": "Mon, 11 Nov 2013 17:05:22 GMT", "version": "v1" } ]
2013-11-12
[ [ "Richthofer", "Stefan", "" ], [ "Wiskott", "Laurenz", "" ] ]
Every organism in an environment, whether biological, robotic or virtual, must be able to predict certain aspects of its environment in order to survive or perform whatever task is intended. It needs a model that is capable of estimating the consequences of possible actions, so that planning, control, and decision-maki...
1610.08262
Matija Pi\v{s}korec
Matija Pi\v{s}korec, Nino Antulov-Fantulin, Iva Miholi\'c, Tomislav \v{S}muc, Mile \v{S}iki\'c
Modeling peer and external influence in online social networks
null
null
10.1007/978-3-319-72150-7_82
null
cs.SI physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Opinion polls mediated through a social network can give us, in addition to usual demographics data like age, gender and geographic location, a friendship structure between voters and the temporal dynamics of their activity during the voting process. Using a Facebook application we collected friendship relationships,...
[ { "created": "Wed, 26 Oct 2016 10:03:07 GMT", "version": "v1" } ]
2018-11-28
[ [ "Piškorec", "Matija", "" ], [ "Antulov-Fantulin", "Nino", "" ], [ "Miholić", "Iva", "" ], [ "Šmuc", "Tomislav", "" ], [ "Šikić", "Mile", "" ] ]
Opinion polls mediated through a social network can give us, in addition to usual demographics data like age, gender and geographic location, a friendship structure between voters and the temporal dynamics of their activity during the voting process. Using a Facebook application we collected friendship relationships, d...
2405.04883
Zehan Wang
Zehan Wang, Ziang Zhang, Xize Cheng, Rongjie Huang, Luping Liu, Zhenhui Ye, Haifeng Huang, Yang Zhao, Tao Jin, Peng Gao, Zhou Zhao
FreeBind: Free Lunch in Unified Multimodal Space via Knowledge Fusion
Accepted by ICML 2024. The code and checkpoints will be released at https://github.com/zehanwang01/FreeBind
null
null
null
cs.CV cs.AI cs.LG
http://creativecommons.org/licenses/by/4.0/
Unified multi-model representation spaces are the foundation of multimodal understanding and generation. However, the billions of model parameters and catastrophic forgetting problems make it challenging to further enhance pre-trained unified spaces. In this work, we propose FreeBind, an idea that treats multimodal r...
[ { "created": "Wed, 8 May 2024 08:32:34 GMT", "version": "v1" }, { "created": "Fri, 10 May 2024 07:18:00 GMT", "version": "v2" } ]
2024-05-13
[ [ "Wang", "Zehan", "" ], [ "Zhang", "Ziang", "" ], [ "Cheng", "Xize", "" ], [ "Huang", "Rongjie", "" ], [ "Liu", "Luping", "" ], [ "Ye", "Zhenhui", "" ], [ "Huang", "Haifeng", "" ], [ "Zhao", "Yan...
Unified multi-model representation spaces are the foundation of multimodal understanding and generation. However, the billions of model parameters and catastrophic forgetting problems make it challenging to further enhance pre-trained unified spaces. In this work, we propose FreeBind, an idea that treats multimodal rep...
cs/0512039
Jianqin Zhou
Jianqin Zhou, Xirong Xu
An algorithm for the k-error linear complexity of a sequence with period 2pn over GF(q)
6 pages
null
null
null
cs.CR
null
The union cost is used, so that an efficient algorithm for computing the k-error linear complexity of a sequence with period 2pn over GF(q) is presented, where p and q are odd primes, and q is a primitive root of modulo p2.
[ { "created": "Sat, 10 Dec 2005 00:21:59 GMT", "version": "v1" } ]
2007-05-23
[ [ "Zhou", "Jianqin", "" ], [ "Xu", "Xirong", "" ] ]
The union cost is used, so that an efficient algorithm for computing the k-error linear complexity of a sequence with period 2pn over GF(q) is presented, where p and q are odd primes, and q is a primitive root of modulo p2.
2404.19513
Sho Ueda
Sho Ueda, Xujun Ye
A Smartphone-Based Method for Assessing Tomato Nutrient Status through Trichome Density Measurement
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Accurately assessing tomato plant nutrient status is crucial for maintaining high yields. Consequently, accurately identifying fertilizer-induced stress through the morphological traits of tomato plants has become a critical agricultural challenge. Research and development efforts have focused on developing noninvasi...
[ { "created": "Tue, 30 Apr 2024 12:45:41 GMT", "version": "v1" } ]
2024-05-01
[ [ "Ueda", "Sho", "" ], [ "Ye", "Xujun", "" ] ]
Accurately assessing tomato plant nutrient status is crucial for maintaining high yields. Consequently, accurately identifying fertilizer-induced stress through the morphological traits of tomato plants has become a critical agricultural challenge. Research and development efforts have focused on developing noninvasive...
1706.04353
Alexey Abramov
Alexey Abramov, Christopher Bayer, Claudio Heller, Claudia Loy
Multi-Lane Perception Using Feature Fusion Based on GraphSLAM
null
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
An extensive, precise and robust recognition and modeling of the environment is a key factor for next generations of Advanced Driver Assistance Systems and development of autonomous vehicles. In this paper, a real-time approach for the perception of multiple lanes on highways is proposed. Lane markings detected by ca...
[ { "created": "Wed, 14 Jun 2017 08:17:03 GMT", "version": "v1" } ]
2017-06-15
[ [ "Abramov", "Alexey", "" ], [ "Bayer", "Christopher", "" ], [ "Heller", "Claudio", "" ], [ "Loy", "Claudia", "" ] ]
An extensive, precise and robust recognition and modeling of the environment is a key factor for next generations of Advanced Driver Assistance Systems and development of autonomous vehicles. In this paper, a real-time approach for the perception of multiple lanes on highways is proposed. Lane markings detected by came...
2202.09685
Jovan Blanu\v{s}a
Jovan Blanu\v{s}a, Paolo Ienne, and Kubilay Atasu
Scalable Fine-Grained Parallel Cycle Enumeration Algorithms
To be published in Proceedings of the 34th ACM Symposium on Parallelism in Algorithms and Architectures (SPAA '22). The source codes of all the algorithms evaluated in our experiments are available here https://github.com/IBM/parallel-cycle-enumeration
null
10.1145/3490148.3538585
null
cs.DC cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Enumerating simple cycles has important applications in computational biology, network science, and financial crime analysis. In this work, we focus on parallelising the state-of-the-art simple cycle enumeration algorithms by Johnson and Read-Tarjan along with their applications to temporal graphs. To our knowledge, ...
[ { "created": "Sat, 19 Feb 2022 21:55:17 GMT", "version": "v1" }, { "created": "Tue, 31 May 2022 08:02:48 GMT", "version": "v2" } ]
2022-06-01
[ [ "Blanuša", "Jovan", "" ], [ "Ienne", "Paolo", "" ], [ "Atasu", "Kubilay", "" ] ]
Enumerating simple cycles has important applications in computational biology, network science, and financial crime analysis. In this work, we focus on parallelising the state-of-the-art simple cycle enumeration algorithms by Johnson and Read-Tarjan along with their applications to temporal graphs. To our knowledge, we...
1302.6562
Daniel Cullina
Daniel Cullina and Negar Kiyavash
An Improvement to Levenshtein's Upper Bound on the Cardinality of Deletion Correcting Codes
null
null
null
null
cs.IT cs.DM math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider deletion correcting codes over a q-ary alphabet. It is well known that any code capable of correcting s deletions can also correct any combination of s total insertions and deletions. To obtain asymptotic upper bounds on code size, we apply a packing argument to channels that perform different mixtures of...
[ { "created": "Tue, 26 Feb 2013 20:12:59 GMT", "version": "v1" }, { "created": "Mon, 29 Jul 2013 17:50:50 GMT", "version": "v2" } ]
2013-07-30
[ [ "Cullina", "Daniel", "" ], [ "Kiyavash", "Negar", "" ] ]
We consider deletion correcting codes over a q-ary alphabet. It is well known that any code capable of correcting s deletions can also correct any combination of s total insertions and deletions. To obtain asymptotic upper bounds on code size, we apply a packing argument to channels that perform different mixtures of i...
1905.13183
Minjie Xu
Minjie Xu and Gary Kazantsev
Understanding Goal-Oriented Active Learning via Influence Functions
14 pages, to be presented at the NeurIPS 2019 workshop on "ML with Guarantees"
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Active learning (AL) concerns itself with learning a model from as few labelled data as possible through actively and iteratively querying an oracle with selected unlabelled samples. In this paper, we focus on analyzing a popular type of AL in which the utility of a sample is measured by a specified goal achieved by ...
[ { "created": "Thu, 30 May 2019 17:09:39 GMT", "version": "v1" }, { "created": "Thu, 3 Oct 2019 18:14:52 GMT", "version": "v2" }, { "created": "Sat, 30 Nov 2019 22:10:07 GMT", "version": "v3" } ]
2019-12-03
[ [ "Xu", "Minjie", "" ], [ "Kazantsev", "Gary", "" ] ]
Active learning (AL) concerns itself with learning a model from as few labelled data as possible through actively and iteratively querying an oracle with selected unlabelled samples. In this paper, we focus on analyzing a popular type of AL in which the utility of a sample is measured by a specified goal achieved by th...
2005.10438
Haohan Guo
Haohan Guo, Shaofei Zhang, Frank K. Soong, Lei He, Lei Xie
Conversational End-to-End TTS for Voice Agent
Accepted by SLT 2021; 7 pages
null
null
null
cs.SD eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
End-to-end neural TTS has achieved superior performance on reading style speech synthesis. However, it's still a challenge to build a high-quality conversational TTS due to the limitations of the corpus and modeling capability. This study aims at building a conversational TTS for a voice agent under sequence to seque...
[ { "created": "Thu, 21 May 2020 02:52:25 GMT", "version": "v1" }, { "created": "Mon, 16 Nov 2020 10:02:10 GMT", "version": "v2" } ]
2020-11-17
[ [ "Guo", "Haohan", "" ], [ "Zhang", "Shaofei", "" ], [ "Soong", "Frank K.", "" ], [ "He", "Lei", "" ], [ "Xie", "Lei", "" ] ]
End-to-end neural TTS has achieved superior performance on reading style speech synthesis. However, it's still a challenge to build a high-quality conversational TTS due to the limitations of the corpus and modeling capability. This study aims at building a conversational TTS for a voice agent under sequence to sequenc...
2204.10905
Jing Gao
Jing Gao, Tilo Burghardt, and Neill W. Campbell
Label a Herd in Minutes: Individual Holstein-Friesian Cattle Identification
ICIAP Workshop on Learning in Precision Livestock Farming (accepted). 10 pages, 7 figures
null
null
null
cs.CV cs.LG
http://creativecommons.org/licenses/by-nc-sa/4.0/
We describe a practically evaluated approach for training visual cattle ID systems for a whole farm requiring only ten minutes of labelling effort. In particular, for the task of automatic identification of individual Holstein-Friesians in real-world farm CCTV, we show that self-supervision, metric learning, cluster ...
[ { "created": "Fri, 22 Apr 2022 19:41:47 GMT", "version": "v1" } ]
2022-04-26
[ [ "Gao", "Jing", "" ], [ "Burghardt", "Tilo", "" ], [ "Campbell", "Neill W.", "" ] ]
We describe a practically evaluated approach for training visual cattle ID systems for a whole farm requiring only ten minutes of labelling effort. In particular, for the task of automatic identification of individual Holstein-Friesians in real-world farm CCTV, we show that self-supervision, metric learning, cluster an...
1401.6336
Jean-Marc Kelif
Jean-Marc Kelif, Stephane Senecal, Constant Bridon, Marceau Coupechoux
A Fluid Approach for Poisson Wireless Networks
6 pages, 7 figures
null
null
null
cs.IT cs.NI math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Among the different models of networks usually considered, the hexagonal network model is the most popular. However, it requires extensive numerical computations. The Poisson network model, for which the base stations (BS) locations form a spatial Poisson process, allows to consider a non constant distance between ba...
[ { "created": "Fri, 24 Jan 2014 13:25:03 GMT", "version": "v1" } ]
2014-01-27
[ [ "Kelif", "Jean-Marc", "" ], [ "Senecal", "Stephane", "" ], [ "Bridon", "Constant", "" ], [ "Coupechoux", "Marceau", "" ] ]
Among the different models of networks usually considered, the hexagonal network model is the most popular. However, it requires extensive numerical computations. The Poisson network model, for which the base stations (BS) locations form a spatial Poisson process, allows to consider a non constant distance between base...
2403.14729
Xidong Wu
Xidong Wu, Shangqian Gao, Zeyu Zhang, Zhenzhen Li, Runxue Bao, Yanfu Zhang, Xiaoqian Wang, Heng Huang
Auto-Train-Once: Controller Network Guided Automatic Network Pruning from Scratch
null
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Current techniques for deep neural network (DNN) pruning often involve intricate multi-step processes that require domain-specific expertise, making their widespread adoption challenging. To address the limitation, the Only-Train-Once (OTO) and OTOv2 are proposed to eliminate the need for additional fine-tuning steps...
[ { "created": "Thu, 21 Mar 2024 02:33:37 GMT", "version": "v1" } ]
2024-03-25
[ [ "Wu", "Xidong", "" ], [ "Gao", "Shangqian", "" ], [ "Zhang", "Zeyu", "" ], [ "Li", "Zhenzhen", "" ], [ "Bao", "Runxue", "" ], [ "Zhang", "Yanfu", "" ], [ "Wang", "Xiaoqian", "" ], [ "Huang", "He...
Current techniques for deep neural network (DNN) pruning often involve intricate multi-step processes that require domain-specific expertise, making their widespread adoption challenging. To address the limitation, the Only-Train-Once (OTO) and OTOv2 are proposed to eliminate the need for additional fine-tuning steps b...
2312.13510
Aaron Lye
Hans-J\"org Kreowski, Aaron Lye, Aljoscha Windhorst
Moving a Derivation Along a Derivation Preserves the Spine in Adhesive Categories
Extended version of the paper published in the proceedings of the 16th International Conference on Graph Transformation; 30 pages
null
null
null
cs.DM
http://creativecommons.org/licenses/by-sa/4.0/
In this paper, we investigate the relationship between two elementary operations on derivations in adhesive high-level replacement systems that are well-known in the context of graph transformation: moving a derivation along a derivation based on parallel and sequential independence on one hand and restriction of a d...
[ { "created": "Thu, 21 Dec 2023 01:12:25 GMT", "version": "v1" }, { "created": "Tue, 30 Jul 2024 21:29:40 GMT", "version": "v2" } ]
2024-08-01
[ [ "Kreowski", "Hans-Jörg", "" ], [ "Lye", "Aaron", "" ], [ "Windhorst", "Aljoscha", "" ] ]
In this paper, we investigate the relationship between two elementary operations on derivations in adhesive high-level replacement systems that are well-known in the context of graph transformation: moving a derivation along a derivation based on parallel and sequential independence on one hand and restriction of a der...
2407.14571
K. Selcuk Candan
Fahim Tasneema Azad, Javier Redondo Anton, Shubhodeep Mitra, Fateh Singh, Hans Behrens, Mao-Lin Li, Bilgehan Arslan, K. Sel\c{c}uk Candan, Maria Luisa Sapino
DataStorm-EM: Exploration of Alternative Timelines within Continuous-Coupled Simulation Ensembles
null
null
null
null
cs.MA
http://creativecommons.org/licenses/by/4.0/
Many socio-economical critical domains (such as sustainability, public health, and disasters) are characterized by highly complex and dynamic systems, requiring data and model-driven simulations to support decision-making. Due to a large number of unknowns, decision-makers usually need to generate ensembles of stocha...
[ { "created": "Fri, 19 Jul 2024 09:12:59 GMT", "version": "v1" } ]
2024-07-23
[ [ "Azad", "Fahim Tasneema", "" ], [ "Anton", "Javier Redondo", "" ], [ "Mitra", "Shubhodeep", "" ], [ "Singh", "Fateh", "" ], [ "Behrens", "Hans", "" ], [ "Li", "Mao-Lin", "" ], [ "Arslan", "Bilgehan", "" ]...
Many socio-economical critical domains (such as sustainability, public health, and disasters) are characterized by highly complex and dynamic systems, requiring data and model-driven simulations to support decision-making. Due to a large number of unknowns, decision-makers usually need to generate ensembles of stochast...
2301.13288
Loren Rieffer-Champlin
Loren Rieffer-Champlin
Team Plan Recognition: A Review of the State of the Art
10 pages, 1 figure, 1 table. Abstract accepted, paper submitted to 14th International Conference on Applied Human Factors and Ergonomics (AHFE 2023)
null
10.54941/ahfe1003557
null
cs.AI cs.MA
http://creativecommons.org/licenses/by-sa/4.0/
There is an increasing need to develop artificial intelligence systems that assist groups of humans working on coordinated tasks. These systems must recognize and understand the plans and relationships between actions for a team of humans working toward a common objective. This article reviews the literature on team ...
[ { "created": "Mon, 30 Jan 2023 21:01:14 GMT", "version": "v1" } ]
2023-08-01
[ [ "Rieffer-Champlin", "Loren", "" ] ]
There is an increasing need to develop artificial intelligence systems that assist groups of humans working on coordinated tasks. These systems must recognize and understand the plans and relationships between actions for a team of humans working toward a common objective. This article reviews the literature on team pl...
2108.10378
Zhang Yuxiang
Yuxiang Zhang, Zhe Li, Liang An, Mengcheng Li, Tao Yu, Yebin Liu
Lightweight Multi-person Total Motion Capture Using Sparse Multi-view Cameras
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Multi-person total motion capture is extremely challenging when it comes to handle severe occlusions, different reconstruction granularities from body to face and hands, drastically changing observation scales and fast body movements. To overcome these challenges above, we contribute a lightweight total motion captur...
[ { "created": "Mon, 23 Aug 2021 19:23:35 GMT", "version": "v1" } ]
2021-08-25
[ [ "Zhang", "Yuxiang", "" ], [ "Li", "Zhe", "" ], [ "An", "Liang", "" ], [ "Li", "Mengcheng", "" ], [ "Yu", "Tao", "" ], [ "Liu", "Yebin", "" ] ]
Multi-person total motion capture is extremely challenging when it comes to handle severe occlusions, different reconstruction granularities from body to face and hands, drastically changing observation scales and fast body movements. To overcome these challenges above, we contribute a lightweight total motion capture ...
2312.03705
Diego Salda\~na Ulloa
Diego Salda\~na Ulloa
A Process for Topic Modelling Via Word Embeddings
null
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
This work combines algorithms based on word embeddings, dimensionality reduction, and clustering. The objective is to obtain topics from a set of unclassified texts. The algorithm to obtain the word embeddings is the BERT model, a neural network architecture widely used in NLP tasks. Due to the high dimensionality, a...
[ { "created": "Fri, 6 Oct 2023 15:10:35 GMT", "version": "v1" } ]
2023-12-08
[ [ "Ulloa", "Diego Saldaña", "" ] ]
This work combines algorithms based on word embeddings, dimensionality reduction, and clustering. The objective is to obtain topics from a set of unclassified texts. The algorithm to obtain the word embeddings is the BERT model, a neural network architecture widely used in NLP tasks. Due to the high dimensionality, a d...
2311.16261
Sotirios Karapiperis
Sotiris Karapiperis, Markos Diomataris, Vassilis Pitsikalis
RelVAE: Generative Pretraining for few-shot Visual Relationship Detection
null
null
null
null
cs.CV cs.AI
http://creativecommons.org/licenses/by/4.0/
Visual relations are complex, multimodal concepts that play an important role in the way humans perceive the world. As a result of their complexity, high-quality, diverse and large scale datasets for visual relations are still absent. In an attempt to overcome this data barrier, we choose to focus on the problem of f...
[ { "created": "Mon, 27 Nov 2023 19:08:08 GMT", "version": "v1" } ]
2023-11-29
[ [ "Karapiperis", "Sotiris", "" ], [ "Diomataris", "Markos", "" ], [ "Pitsikalis", "Vassilis", "" ] ]
Visual relations are complex, multimodal concepts that play an important role in the way humans perceive the world. As a result of their complexity, high-quality, diverse and large scale datasets for visual relations are still absent. In an attempt to overcome this data barrier, we choose to focus on the problem of few...
1606.02319
Mark Newman
M. E. J. Newman
Community detection in networks: Modularity optimization and maximum likelihood are equivalent
8 pages, 1 figure, 1 table
Phys. Rev. E 94, 052315 (2016)
10.1103/PhysRevE.94.052315
null
cs.SI physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We demonstrate an exact equivalence between two widely used methods of community detection in networks, the method of modularity maximization in its generalized form which incorporates a resolution parameter controlling the size of the communities discovered, and the method of maximum likelihood applied to the specia...
[ { "created": "Tue, 7 Jun 2016 20:10:20 GMT", "version": "v1" } ]
2016-11-24
[ [ "Newman", "M. E. J.", "" ] ]
We demonstrate an exact equivalence between two widely used methods of community detection in networks, the method of modularity maximization in its generalized form which incorporates a resolution parameter controlling the size of the communities discovered, and the method of maximum likelihood applied to the special ...
2401.15366
Shiv Ram Dubey
Trinetra Devkatte, Shiv Ram Dubey, Satish Kumar Singh, Abdenour Hadid
Face to Cartoon Incremental Super-Resolution using Knowledge Distillation
null
null
null
null
cs.CV eess.IV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Facial super-resolution/hallucination is an important area of research that seeks to enhance low-resolution facial images for a variety of applications. While Generative Adversarial Networks (GANs) have shown promise in this area, their ability to adapt to new, unseen data remains a challenge. This paper addresses th...
[ { "created": "Sat, 27 Jan 2024 10:06:52 GMT", "version": "v1" } ]
2024-01-30
[ [ "Devkatte", "Trinetra", "" ], [ "Dubey", "Shiv Ram", "" ], [ "Singh", "Satish Kumar", "" ], [ "Hadid", "Abdenour", "" ] ]
Facial super-resolution/hallucination is an important area of research that seeks to enhance low-resolution facial images for a variety of applications. While Generative Adversarial Networks (GANs) have shown promise in this area, their ability to adapt to new, unseen data remains a challenge. This paper addresses this...
2211.12551
Meihua Dang
Meihua Dang, Anji Liu, Guy Van den Broeck
Sparse Probabilistic Circuits via Pruning and Growing
36th Conference on Neural Information Processing Systems (NeurIPS 2022)
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by-nc-sa/4.0/
Probabilistic circuits (PCs) are a tractable representation of probability distributions allowing for exact and efficient computation of likelihoods and marginals. There has been significant recent progress on improving the scale and expressiveness of PCs. However, PC training performance plateaus as model size incre...
[ { "created": "Tue, 22 Nov 2022 19:54:52 GMT", "version": "v1" } ]
2022-11-24
[ [ "Dang", "Meihua", "" ], [ "Liu", "Anji", "" ], [ "Broeck", "Guy Van den", "" ] ]
Probabilistic circuits (PCs) are a tractable representation of probability distributions allowing for exact and efficient computation of likelihoods and marginals. There has been significant recent progress on improving the scale and expressiveness of PCs. However, PC training performance plateaus as model size increas...
1804.08302
Boitumelo Ruf
Boitumelo Ruf, Laurenz Thiel, Martin Weinmann
Deep cross-domain building extraction for selective depth estimation from oblique aerial imagery
Accepted in the ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Science
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-1, 125-132, 2018
10.5194/isprs-annals-IV-1-125-2018
null
cs.CV cs.LG
http://creativecommons.org/licenses/by/4.0/
With the technological advancements of aerial imagery and accurate 3d reconstruction of urban environments, more and more attention has been paid to the automated analyses of urban areas. In our work, we examine two important aspects that allow live analysis of building structures in city models given oblique aerial ...
[ { "created": "Mon, 23 Apr 2018 09:22:55 GMT", "version": "v1" }, { "created": "Tue, 17 Jul 2018 07:49:31 GMT", "version": "v2" }, { "created": "Sat, 21 Sep 2019 20:24:52 GMT", "version": "v3" } ]
2019-09-24
[ [ "Ruf", "Boitumelo", "" ], [ "Thiel", "Laurenz", "" ], [ "Weinmann", "Martin", "" ] ]
With the technological advancements of aerial imagery and accurate 3d reconstruction of urban environments, more and more attention has been paid to the automated analyses of urban areas. In our work, we examine two important aspects that allow live analysis of building structures in city models given oblique aerial im...
2103.03717
Flavio de Barros Vidal
Andre da Silva Abade, Lucas Faria Porto, Paulo Afonso Ferreira, Flavio de Barros Vidal
NemaNet: A convolutional neural network model for identification of nematodes soybean crop in brazil
21 pages, 13 figures
null
null
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Phytoparasitic nematodes (or phytonematodes) are causing severe damage to crops and generating large-scale economic losses worldwide. In soybean crops, annual losses are estimated at 10.6% of world production. Besides, identifying these species through microscopic analysis by an expert with taxonomy knowledge is ofte...
[ { "created": "Fri, 5 Mar 2021 14:47:00 GMT", "version": "v1" } ]
2021-03-08
[ [ "Abade", "Andre da Silva", "" ], [ "Porto", "Lucas Faria", "" ], [ "Ferreira", "Paulo Afonso", "" ], [ "Vidal", "Flavio de Barros", "" ] ]
Phytoparasitic nematodes (or phytonematodes) are causing severe damage to crops and generating large-scale economic losses worldwide. In soybean crops, annual losses are estimated at 10.6% of world production. Besides, identifying these species through microscopic analysis by an expert with taxonomy knowledge is often ...
2009.09140
Jindong Gu
Jindong Gu and Zhiliang Wu and Volker Tresp
Introspective Learning by Distilling Knowledge from Online Self-explanation
null
15th Asian Conference on Computer Vision (ACCV) 2020
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In recent years, many explanation methods have been proposed to explain individual classifications of deep neural networks. However, how to leverage the created explanations to improve the learning process has been less explored. As the privileged information, the explanations of a model can be used to guide the lear...
[ { "created": "Sat, 19 Sep 2020 02:05:32 GMT", "version": "v1" } ]
2020-09-22
[ [ "Gu", "Jindong", "" ], [ "Wu", "Zhiliang", "" ], [ "Tresp", "Volker", "" ] ]
In recent years, many explanation methods have been proposed to explain individual classifications of deep neural networks. However, how to leverage the created explanations to improve the learning process has been less explored. As the privileged information, the explanations of a model can be used to guide the learni...
cs/0701187
Christian Schallhart
Sagar Chaki, Christian Schallhart, Helmut Veith
Verification Across Intellectual Property Boundaries
null
null
null
null
cs.OH
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In many industries, the importance of software components provided by third-party suppliers is steadily increasing. As the suppliers seek to secure their intellectual property (IP) rights, the customer usually has no direct access to the suppliers' source code, and is able to enforce the use of verification tools onl...
[ { "created": "Mon, 29 Jan 2007 17:09:17 GMT", "version": "v1" }, { "created": "Wed, 30 Nov 2011 17:41:16 GMT", "version": "v2" } ]
2011-12-01
[ [ "Chaki", "Sagar", "" ], [ "Schallhart", "Christian", "" ], [ "Veith", "Helmut", "" ] ]
In many industries, the importance of software components provided by third-party suppliers is steadily increasing. As the suppliers seek to secure their intellectual property (IP) rights, the customer usually has no direct access to the suppliers' source code, and is able to enforce the use of verification tools only ...
2402.11633
Arian Askari
Arian Askari, Roxana Petcu, Chuan Meng, Mohammad Aliannejadi, Amin Abolghasemi, Evangelos Kanoulas, Suzan Verberne
Self-seeding and Multi-intent Self-instructing LLMs for Generating Intent-aware Information-Seeking dialogs
null
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Identifying user intents in information-seeking dialogs is crucial for a system to meet user's information needs. Intent prediction (IP) is challenging and demands sufficient dialogs with human-labeled intents for training. However, manually annotating intents is resource-intensive. While large language models (LLMs)...
[ { "created": "Sun, 18 Feb 2024 16:20:43 GMT", "version": "v1" } ]
2024-02-20
[ [ "Askari", "Arian", "" ], [ "Petcu", "Roxana", "" ], [ "Meng", "Chuan", "" ], [ "Aliannejadi", "Mohammad", "" ], [ "Abolghasemi", "Amin", "" ], [ "Kanoulas", "Evangelos", "" ], [ "Verberne", "Suzan", "" ] ...
Identifying user intents in information-seeking dialogs is crucial for a system to meet user's information needs. Intent prediction (IP) is challenging and demands sufficient dialogs with human-labeled intents for training. However, manually annotating intents is resource-intensive. While large language models (LLMs) h...
2210.06071
Ruiyuan Kang
Ruiyuan Kang, Dimitrios C. Kyritsis, Panos Liatsis
Self-Validated Physics-Embedding Network: A General Framework for Inverse Modelling
32 pages, 25 figures, four tables
null
null
null
cs.NE cs.SY eess.SY
http://creativecommons.org/licenses/by/4.0/
Physics-based inverse modeling techniques are typically restricted to particular research fields, whereas popular machine-learning-based ones are too data-dependent to guarantee the physical compatibility of the solution. In this paper, Self-Validated Physics-Embedding Network (SVPEN), a general neural network framew...
[ { "created": "Wed, 12 Oct 2022 10:31:36 GMT", "version": "v1" }, { "created": "Mon, 17 Oct 2022 11:36:26 GMT", "version": "v2" }, { "created": "Tue, 17 Jan 2023 06:48:07 GMT", "version": "v3" } ]
2023-01-18
[ [ "Kang", "Ruiyuan", "" ], [ "Kyritsis", "Dimitrios C.", "" ], [ "Liatsis", "Panos", "" ] ]
Physics-based inverse modeling techniques are typically restricted to particular research fields, whereas popular machine-learning-based ones are too data-dependent to guarantee the physical compatibility of the solution. In this paper, Self-Validated Physics-Embedding Network (SVPEN), a general neural network framewor...
2311.04503
Thibault Simonetto
Thibault Simonetto, Salah Ghamizi, Antoine Desjardins, Maxime Cordy, Yves Le Traon
Constrained Adaptive Attacks: Realistic Evaluation of Adversarial Examples and Robust Training of Deep Neural Networks for Tabular Data
null
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
State-of-the-art deep learning models for tabular data have recently achieved acceptable performance to be deployed in industrial settings. However, the robustness of these models remains scarcely explored. Contrary to computer vision, there is to date no realistic protocol to properly evaluate the adversarial robust...
[ { "created": "Wed, 8 Nov 2023 07:35:28 GMT", "version": "v1" } ]
2023-11-09
[ [ "Simonetto", "Thibault", "" ], [ "Ghamizi", "Salah", "" ], [ "Desjardins", "Antoine", "" ], [ "Cordy", "Maxime", "" ], [ "Traon", "Yves Le", "" ] ]
State-of-the-art deep learning models for tabular data have recently achieved acceptable performance to be deployed in industrial settings. However, the robustness of these models remains scarcely explored. Contrary to computer vision, there is to date no realistic protocol to properly evaluate the adversarial robustne...
2007.12144
Oladapo Oyebode
Oladapo Oyebode, Chinenye Ndulue, Ashfaq Adib, Dinesh Mulchandani, Banuchitra Suruliraj, Fidelia Anulika Orji, Christine Chambers, Sandra Meier, and Rita Orji
Health, Psychosocial, and Social issues emanating from COVID-19 pandemic based on Social Media Comments using Natural Language Processing
null
JMIR Medical Informatics. 2021. 9(4):e22734
10.2196/22734
null
cs.CL cs.IR cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The COVID-19 pandemic has caused a global health crisis that affects many aspects of human lives. In the absence of vaccines and antivirals, several behavioural change and policy initiatives, such as physical distancing, have been implemented to control the spread of the coronavirus. Social media data can reveal publ...
[ { "created": "Thu, 23 Jul 2020 17:19:50 GMT", "version": "v1" } ]
2021-04-09
[ [ "Oyebode", "Oladapo", "" ], [ "Ndulue", "Chinenye", "" ], [ "Adib", "Ashfaq", "" ], [ "Mulchandani", "Dinesh", "" ], [ "Suruliraj", "Banuchitra", "" ], [ "Orji", "Fidelia Anulika", "" ], [ "Chambers", "Christin...
The COVID-19 pandemic has caused a global health crisis that affects many aspects of human lives. In the absence of vaccines and antivirals, several behavioural change and policy initiatives, such as physical distancing, have been implemented to control the spread of the coronavirus. Social media data can reveal public...
1412.7479
Sudheendra Vijayanarasimhan
Sudheendra Vijayanarasimhan and Jonathon Shlens and Rajat Monga and Jay Yagnik
Deep Networks With Large Output Spaces
null
null
null
null
cs.NE cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep neural networks have been extremely successful at various image, speech, video recognition tasks because of their ability to model deep structures within the data. However, they are still prohibitively expensive to train and apply for problems containing millions of classes in the output layer. Based on the obse...
[ { "created": "Tue, 23 Dec 2014 19:22:59 GMT", "version": "v1" }, { "created": "Mon, 29 Dec 2014 18:45:36 GMT", "version": "v2" }, { "created": "Sat, 28 Feb 2015 01:12:58 GMT", "version": "v3" }, { "created": "Fri, 10 Apr 2015 19:53:21 GMT", "version": "v4" } ]
2015-04-13
[ [ "Vijayanarasimhan", "Sudheendra", "" ], [ "Shlens", "Jonathon", "" ], [ "Monga", "Rajat", "" ], [ "Yagnik", "Jay", "" ] ]
Deep neural networks have been extremely successful at various image, speech, video recognition tasks because of their ability to model deep structures within the data. However, they are still prohibitively expensive to train and apply for problems containing millions of classes in the output layer. Based on the observ...
2011.15038
Rafi Trad
Rafi Trad, Myra Spiliopoulou
A Framework for Authorial Clustering of Shorter Texts in Latent Semantic Spaces
8 pages including references
null
null
null
cs.CL cs.AI cs.LG
http://creativecommons.org/licenses/by-nc-nd/4.0/
Authorial clustering involves the grouping of documents written by the same author or team of authors without any prior positive examples of an author's writing style or thematic preferences. For authorial clustering on shorter texts (paragraph-length texts that are typically shorter than conventional documents), the...
[ { "created": "Mon, 30 Nov 2020 17:39:44 GMT", "version": "v1" } ]
2020-12-01
[ [ "Trad", "Rafi", "" ], [ "Spiliopoulou", "Myra", "" ] ]
Authorial clustering involves the grouping of documents written by the same author or team of authors without any prior positive examples of an author's writing style or thematic preferences. For authorial clustering on shorter texts (paragraph-length texts that are typically shorter than conventional documents), the d...
2006.16541
Jiaxuan Wang
Jiaxuan Wang, Jenna Wiens
AdaSGD: Bridging the gap between SGD and Adam
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the context of stochastic gradient descent(SGD) and adaptive moment estimation (Adam),researchers have recently proposed optimization techniques that transition from Adam to SGD with the goal of improving both convergence and generalization performance. However, precisely how each approach trades off early progres...
[ { "created": "Tue, 30 Jun 2020 05:44:19 GMT", "version": "v1" } ]
2020-07-01
[ [ "Wang", "Jiaxuan", "" ], [ "Wiens", "Jenna", "" ] ]
In the context of stochastic gradient descent(SGD) and adaptive moment estimation (Adam),researchers have recently proposed optimization techniques that transition from Adam to SGD with the goal of improving both convergence and generalization performance. However, precisely how each approach trades off early progress ...
2404.01954
Kang Min Yoo
Kang Min Yoo, Jaegeun Han, Sookyo In, Heewon Jeon, Jisu Jeong, Jaewook Kang, Hyunwook Kim, Kyung-Min Kim, Munhyong Kim, Sungju Kim, Donghyun Kwak, Hanock Kwak, Se Jung Kwon, Bado Lee, Dongsoo Lee, Gichang Lee, Jooho Lee, Baeseong Park, Seongjin Shin, Joonsang Yu, Seolki Baek, Sumin Byeon, Eungsup Cho, Dooseok C...
HyperCLOVA X Technical Report
44 pages; updated authors list and fixed author names
null
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by/4.0/
We introduce HyperCLOVA X, a family of large language models (LLMs) tailored to the Korean language and culture, along with competitive capabilities in English, math, and coding. HyperCLOVA X was trained on a balanced mix of Korean, English, and code data, followed by instruction-tuning with high-quality human-annota...
[ { "created": "Tue, 2 Apr 2024 13:48:49 GMT", "version": "v1" }, { "created": "Sat, 13 Apr 2024 15:06:19 GMT", "version": "v2" } ]
2024-04-16
[ [ "Yoo", "Kang Min", "" ], [ "Han", "Jaegeun", "" ], [ "In", "Sookyo", "" ], [ "Jeon", "Heewon", "" ], [ "Jeong", "Jisu", "" ], [ "Kang", "Jaewook", "" ], [ "Kim", "Hyunwook", "" ], [ "Kim", "Kyun...
We introduce HyperCLOVA X, a family of large language models (LLMs) tailored to the Korean language and culture, along with competitive capabilities in English, math, and coding. HyperCLOVA X was trained on a balanced mix of Korean, English, and code data, followed by instruction-tuning with high-quality human-annotate...
2310.18630
Xu Chen
Xu Chen, XinXin He, Zhiyong Feng, Zhiqing Wei, Qixun Zhang, Xin Yuan, and Ping Zhang
Joint Localization and Communication Enhancement in Uplink Integrated Sensing and Communications System with Clock Asynchronism
13 pages, 11 figures, submitted to JSAC special issue "Positioning and Sensing Over Wireless Networks"
null
null
null
cs.IT eess.SP math.IT
http://creativecommons.org/licenses/by-nc-nd/4.0/
In this paper, we propose a joint single-base localization and communication enhancement scheme for the uplink (UL) integrated sensing and communications (ISAC) system with asynchronism, which can achieve accurate single-base localization of user equipment (UE) and significantly improve the communication reliability ...
[ { "created": "Sat, 28 Oct 2023 07:57:35 GMT", "version": "v1" } ]
2023-10-31
[ [ "Chen", "Xu", "" ], [ "He", "XinXin", "" ], [ "Feng", "Zhiyong", "" ], [ "Wei", "Zhiqing", "" ], [ "Zhang", "Qixun", "" ], [ "Yuan", "Xin", "" ], [ "Zhang", "Ping", "" ] ]
In this paper, we propose a joint single-base localization and communication enhancement scheme for the uplink (UL) integrated sensing and communications (ISAC) system with asynchronism, which can achieve accurate single-base localization of user equipment (UE) and significantly improve the communication reliability de...
1509.04806
Francisco Su\'arez-Ruiz
Francisco Su\'arez-Ruiz and Quang-Cuong Pham
A Framework for Fine Robotic Assembly
8 pages, 7 figures, 2 tables
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Fine robotic assembly, in which the parts to be assembled are small and fragile and lie in an unstructured environment, is still out of reach of today's industrial robots. The main difficulties arise in the precise localization of the parts in an unstructured environment and the control of contact interactions. Our c...
[ { "created": "Wed, 16 Sep 2015 03:55:33 GMT", "version": "v1" } ]
2015-09-17
[ [ "Suárez-Ruiz", "Francisco", "" ], [ "Pham", "Quang-Cuong", "" ] ]
Fine robotic assembly, in which the parts to be assembled are small and fragile and lie in an unstructured environment, is still out of reach of today's industrial robots. The main difficulties arise in the precise localization of the parts in an unstructured environment and the control of contact interactions. Our con...
1601.05187
Ron van der Meyden
Sebastian Eggert and Ron van der Meyden
Dynamic Intransitive Noninterference Revisited
null
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The paper studies dynamic information flow security policies in an automaton-based model. Two semantic interpretations of such policies are developed, both of which generalize the notion of TA-security [van der Meyden ESORICS 2007] for static intransitive noninterference policies. One of the interpretations focuses o...
[ { "created": "Wed, 20 Jan 2016 07:04:28 GMT", "version": "v1" } ]
2016-01-21
[ [ "Eggert", "Sebastian", "" ], [ "van der Meyden", "Ron", "" ] ]
The paper studies dynamic information flow security policies in an automaton-based model. Two semantic interpretations of such policies are developed, both of which generalize the notion of TA-security [van der Meyden ESORICS 2007] for static intransitive noninterference policies. One of the interpretations focuses on ...
2311.03225
Yuto Okada
Tatsuya Gima, Soh Kumabe, Kazuhiro Kurita, Yuto Okada, Yota Otachi
Dichotomies for Tree Minor Containment with Structural Parameters
25 pages, 4 figures, WALCOM 2024
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The problem of determining whether a graph $G$ contains another graph $H$ as a minor, referred to as the minor containment problem, is a fundamental problem in the field of graph algorithms. While it is NP-complete when $G$ and $H$ are general graphs, it is sometimes tractable on more restricted graph classes. This s...
[ { "created": "Mon, 6 Nov 2023 16:11:37 GMT", "version": "v1" } ]
2023-11-07
[ [ "Gima", "Tatsuya", "" ], [ "Kumabe", "Soh", "" ], [ "Kurita", "Kazuhiro", "" ], [ "Okada", "Yuto", "" ], [ "Otachi", "Yota", "" ] ]
The problem of determining whether a graph $G$ contains another graph $H$ as a minor, referred to as the minor containment problem, is a fundamental problem in the field of graph algorithms. While it is NP-complete when $G$ and $H$ are general graphs, it is sometimes tractable on more restricted graph classes. This stu...
1312.6173
Karl Moritz Hermann
Karl Moritz Hermann and Phil Blunsom
Multilingual Distributed Representations without Word Alignment
To appear at ICLR 2014
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Distributed representations of meaning are a natural way to encode covariance relationships between words and phrases in NLP. By overcoming data sparsity problems, as well as providing information about semantic relatedness which is not available in discrete representations, distributed representations have proven us...
[ { "created": "Fri, 20 Dec 2013 23:13:38 GMT", "version": "v1" }, { "created": "Fri, 21 Feb 2014 20:24:06 GMT", "version": "v2" }, { "created": "Mon, 17 Mar 2014 17:52:13 GMT", "version": "v3" }, { "created": "Thu, 20 Mar 2014 13:55:02 GMT", "version": "v4" } ]
2014-03-21
[ [ "Hermann", "Karl Moritz", "" ], [ "Blunsom", "Phil", "" ] ]
Distributed representations of meaning are a natural way to encode covariance relationships between words and phrases in NLP. By overcoming data sparsity problems, as well as providing information about semantic relatedness which is not available in discrete representations, distributed representations have proven usef...
2302.10801
Halid Ziya Yerebakan
Halid Ziya Yerebakan, Gerardo Hermosillo Valadez
Deep Generative Neural Embeddings for High Dimensional Data Visualization
High Dimensional Data Visualization
null
null
null
cs.LG cs.CV cs.HC
http://creativecommons.org/licenses/by-sa/4.0/
We propose a visualization technique that utilizes neural network embeddings and a generative network to reconstruct original data. This method allows for independent manipulation of individual image embeddings through its non-parametric structure, providing more flexibility than traditional autoencoder approaches. W...
[ { "created": "Wed, 25 Jan 2023 14:18:09 GMT", "version": "v1" } ]
2023-02-22
[ [ "Yerebakan", "Halid Ziya", "" ], [ "Valadez", "Gerardo Hermosillo", "" ] ]
We propose a visualization technique that utilizes neural network embeddings and a generative network to reconstruct original data. This method allows for independent manipulation of individual image embeddings through its non-parametric structure, providing more flexibility than traditional autoencoder approaches. We ...
2209.10155
Zihui Guo
Zihui Guo, Yonghong Hou, Pichao Wang, Zhimin Gao, Mingliang Xu, and Wanqing Li
FT-HID: A Large Scale RGB-D Dataset for First and Third Person Human Interaction Analysis
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Analysis of human interaction is one important research topic of human motion analysis. It has been studied either using first person vision (FPV) or third person vision (TPV). However, the joint learning of both types of vision has so far attracted little attention. One of the reasons is the lack of suitable dataset...
[ { "created": "Wed, 21 Sep 2022 07:24:15 GMT", "version": "v1" } ]
2022-09-22
[ [ "Guo", "Zihui", "" ], [ "Hou", "Yonghong", "" ], [ "Wang", "Pichao", "" ], [ "Gao", "Zhimin", "" ], [ "Xu", "Mingliang", "" ], [ "Li", "Wanqing", "" ] ]
Analysis of human interaction is one important research topic of human motion analysis. It has been studied either using first person vision (FPV) or third person vision (TPV). However, the joint learning of both types of vision has so far attracted little attention. One of the reasons is the lack of suitable datasets ...
1109.1314
Tom Schaul
Tom Schaul, Julian Togelius, J\"urgen Schmidhuber
Measuring Intelligence through Games
null
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Artificial general intelligence (AGI) refers to research aimed at tackling the full problem of artificial intelligence, that is, create truly intelligent agents. This sets it apart from most AI research which aims at solving relatively narrow domains, such as character recognition, motion planning, or increasing play...
[ { "created": "Tue, 6 Sep 2011 22:13:30 GMT", "version": "v1" } ]
2011-09-08
[ [ "Schaul", "Tom", "" ], [ "Togelius", "Julian", "" ], [ "Schmidhuber", "Jürgen", "" ] ]
Artificial general intelligence (AGI) refers to research aimed at tackling the full problem of artificial intelligence, that is, create truly intelligent agents. This sets it apart from most AI research which aims at solving relatively narrow domains, such as character recognition, motion planning, or increasing player...
2202.06407
En Yen Puang
En Yen Puang, Hao Zhang, Hongyuan Zhu, Wei Jing
Hierarchical Point Cloud Encoding and Decoding with Lightweight Self-Attention based Model
Accepted by RA-Letters and ICRA 2022
null
10.1109/LRA.2022.3149569
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we present SA-CNN, a hierarchical and lightweight self-attention based encoding and decoding architecture for representation learning of point cloud data. The proposed SA-CNN introduces convolution and transposed convolution stacks to capture and generate contextual information among unordered 3D points...
[ { "created": "Sun, 13 Feb 2022 21:10:06 GMT", "version": "v1" } ]
2022-03-16
[ [ "Puang", "En Yen", "" ], [ "Zhang", "Hao", "" ], [ "Zhu", "Hongyuan", "" ], [ "Jing", "Wei", "" ] ]
In this paper we present SA-CNN, a hierarchical and lightweight self-attention based encoding and decoding architecture for representation learning of point cloud data. The proposed SA-CNN introduces convolution and transposed convolution stacks to capture and generate contextual information among unordered 3D points. ...
2307.00610
Inna Vogel
Raphael Frick, Inna Vogel
Fraunhofer SIT at CheckThat! 2023: Mixing Single-Modal Classifiers to Estimate the Check-Worthiness of Multi-Modal Tweets
8 pages
CLEF 2023
null
null
cs.LG cs.CL cs.SI
http://creativecommons.org/licenses/by-nc-nd/4.0/
The option of sharing images, videos and audio files on social media opens up new possibilities for distinguishing between false information and fake news on the Internet. Due to the vast amount of data shared every second on social media, not all data can be verified by a computer or a human expert. Here, a check-wo...
[ { "created": "Sun, 2 Jul 2023 16:35:54 GMT", "version": "v1" }, { "created": "Thu, 27 Jul 2023 14:54:13 GMT", "version": "v2" } ]
2023-07-28
[ [ "Frick", "Raphael", "" ], [ "Vogel", "Inna", "" ] ]
The option of sharing images, videos and audio files on social media opens up new possibilities for distinguishing between false information and fake news on the Internet. Due to the vast amount of data shared every second on social media, not all data can be verified by a computer or a human expert. Here, a check-wort...
1704.06611
Jonathon Cai
Jonathon Cai, Richard Shin, Dawn Song
Making Neural Programming Architectures Generalize via Recursion
Published in ICLR 2017
null
null
null
cs.LG cs.NE cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Empirically, neural networks that attempt to learn programs from data have exhibited poor generalizability. Moreover, it has traditionally been difficult to reason about the behavior of these models beyond a certain level of input complexity. In order to address these issues, we propose augmenting neural architecture...
[ { "created": "Fri, 21 Apr 2017 16:02:26 GMT", "version": "v1" } ]
2017-04-24
[ [ "Cai", "Jonathon", "" ], [ "Shin", "Richard", "" ], [ "Song", "Dawn", "" ] ]
Empirically, neural networks that attempt to learn programs from data have exhibited poor generalizability. Moreover, it has traditionally been difficult to reason about the behavior of these models beyond a certain level of input complexity. In order to address these issues, we propose augmenting neural architectures ...
1905.13127
Xiao Zhou
Xiao Zhou, Cecilia Mascolo and Zhongxiang Zhao
Topic-Enhanced Memory Networks for Personalised Point-of-Interest Recommendation
11 pages, 6 figures, The 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '19)
null
10.1145/3292500.3330781
null
cs.IR cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Point-of-Interest (POI) recommender systems play a vital role in people's lives by recommending unexplored POIs to users and have drawn extensive attention from both academia and industry. Despite their value, however, they still suffer from the challenges of capturing complicated user preferences and fine-grained us...
[ { "created": "Sun, 19 May 2019 18:00:05 GMT", "version": "v1" } ]
2019-05-31
[ [ "Zhou", "Xiao", "" ], [ "Mascolo", "Cecilia", "" ], [ "Zhao", "Zhongxiang", "" ] ]
Point-of-Interest (POI) recommender systems play a vital role in people's lives by recommending unexplored POIs to users and have drawn extensive attention from both academia and industry. Despite their value, however, they still suffer from the challenges of capturing complicated user preferences and fine-grained user...
1401.2405
Ghassan Samara
Ghassan Samara, Tareq Alhmiedat, Amer O. Abu Salem
Dynamic Safety Message Power Control in VANET Using PSO
9 pages. arXiv admin note: substantial text overlap with arXiv:1311.2364
The World of Computer Science and Information Technology Journal (WSCIT). 2013, Volume 3, Issue 10. pp. 176.184
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the recent years Vehicular Ad hoc Networks (VANET) became one of the most challenging research area in the field of Mobile Ad hoc Networks (MANET). Vehicles in VANET send emergency and safety periodic messages through one control channel having a limited bandwidth, which causes a growing collision to the channel e...
[ { "created": "Fri, 10 Jan 2014 17:10:20 GMT", "version": "v1" }, { "created": "Tue, 21 Jan 2014 13:22:00 GMT", "version": "v2" } ]
2014-01-22
[ [ "Samara", "Ghassan", "" ], [ "Alhmiedat", "Tareq", "" ], [ "Salem", "Amer O. Abu", "" ] ]
In the recent years Vehicular Ad hoc Networks (VANET) became one of the most challenging research area in the field of Mobile Ad hoc Networks (MANET). Vehicles in VANET send emergency and safety periodic messages through one control channel having a limited bandwidth, which causes a growing collision to the channel esp...
1911.02373
Davood Mohajerani
Alexander Brandt, Davood Mohajerani, Marc Moreno Maza, Jeeva Paudel, Linxiao Wang
KLARAPTOR: A Tool for Dynamically Finding Optimal Kernel Launch Parameters Targeting CUDA Programs
10 pages. arXiv admin note: text overlap with arXiv:1906.00142
null
null
null
cs.DC cs.PF
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we present KLARAPTOR (Kernel LAunch parameters RAtional Program estimaTOR), a new tool built on top of the LLVM Pass Framework and NVIDIA CUPTI API to dynamically determine the optimal values of kernel launch parameters of a CUDA program P. To be precise, we describe a novel technique to statically buil...
[ { "created": "Tue, 5 Nov 2019 00:24:56 GMT", "version": "v1" } ]
2019-11-07
[ [ "Brandt", "Alexander", "" ], [ "Mohajerani", "Davood", "" ], [ "Maza", "Marc Moreno", "" ], [ "Paudel", "Jeeva", "" ], [ "Wang", "Linxiao", "" ] ]
In this paper we present KLARAPTOR (Kernel LAunch parameters RAtional Program estimaTOR), a new tool built on top of the LLVM Pass Framework and NVIDIA CUPTI API to dynamically determine the optimal values of kernel launch parameters of a CUDA program P. To be precise, we describe a novel technique to statically build ...
2103.16345
Nicolas Moes
Nicolas Moes and Nicolas Chevaugeon
Lipschitz regularization for softening material models: the Lip-field approach
21 pages
Comptes Rendus. M\'ecanique, Tome 349 (2021) no. 2, pp. 415-434
10.5802/crmeca.91
null
cs.CE
http://creativecommons.org/licenses/by/4.0/
Softening material models are known to trigger spurious localizations.This may be shown theoretically by the existence of solutions with zero dissipation when localization occurs and numerically with spurious mesh dependency and localization in a single layer of elements. We introduce in this paper a new way to avoid...
[ { "created": "Tue, 30 Mar 2021 13:43:05 GMT", "version": "v1" }, { "created": "Tue, 20 Jul 2021 12:40:26 GMT", "version": "v2" } ]
2021-08-10
[ [ "Moes", "Nicolas", "" ], [ "Chevaugeon", "Nicolas", "" ] ]
Softening material models are known to trigger spurious localizations.This may be shown theoretically by the existence of solutions with zero dissipation when localization occurs and numerically with spurious mesh dependency and localization in a single layer of elements. We introduce in this paper a new way to avoid s...
1308.4469
Craig Dillabaugh Dr
Craig Dillabaugh
External Memory Algorithms For Path Traversal in Graphs
181 pages
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This thesis presents a number of results related to path traversal in trees and graphs. In particular, we focus on data structures which allow such traversals to be performed efficiently in the external memory setting. In addition, for trees and planar graphs the data structures we present are succinct. Our tree stru...
[ { "created": "Wed, 21 Aug 2013 01:56:50 GMT", "version": "v1" } ]
2013-08-22
[ [ "Dillabaugh", "Craig", "" ] ]
This thesis presents a number of results related to path traversal in trees and graphs. In particular, we focus on data structures which allow such traversals to be performed efficiently in the external memory setting. In addition, for trees and planar graphs the data structures we present are succinct. Our tree struct...
1711.05557
Chee Seng Chan
Ying Hua Tan, Chee Seng Chan
Phrase-based Image Captioning with Hierarchical LSTM Model
17 pages, 12 figures, ACCV2016 extension, phrase-based image captioning
null
null
null
cs.CV cs.AI cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Automatic generation of caption to describe the content of an image has been gaining a lot of research interests recently, where most of the existing works treat the image caption as pure sequential data. Natural language, however possess a temporal hierarchy structure, with complex dependencies between each subseque...
[ { "created": "Sat, 11 Nov 2017 10:48:59 GMT", "version": "v1" } ]
2017-11-16
[ [ "Tan", "Ying Hua", "" ], [ "Chan", "Chee Seng", "" ] ]
Automatic generation of caption to describe the content of an image has been gaining a lot of research interests recently, where most of the existing works treat the image caption as pure sequential data. Natural language, however possess a temporal hierarchy structure, with complex dependencies between each subsequenc...
2406.07042
Yining Shi
Yining Shi, Kun Jiang, Ke Wang, Kangan Qian, Yunlong Wang, Jiusi Li, Tuopu Wen, Mengmeng Yang, Yiliang Xu, Diange Yang
EFFOcc: A Minimal Baseline for EFficient Fusion-based 3D Occupancy Network
preprint under review
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
3D occupancy prediction (Occ) is a rapidly rising challenging perception task in the field of autonomous driving which represents the driving scene as uniformly partitioned 3D voxel grids with semantics. Compared to 3D object detection, grid perception has great advantage of better recognizing irregularly shaped, unk...
[ { "created": "Tue, 11 Jun 2024 08:01:02 GMT", "version": "v1" } ]
2024-06-12
[ [ "Shi", "Yining", "" ], [ "Jiang", "Kun", "" ], [ "Wang", "Ke", "" ], [ "Qian", "Kangan", "" ], [ "Wang", "Yunlong", "" ], [ "Li", "Jiusi", "" ], [ "Wen", "Tuopu", "" ], [ "Yang", "Mengmeng", ...
3D occupancy prediction (Occ) is a rapidly rising challenging perception task in the field of autonomous driving which represents the driving scene as uniformly partitioned 3D voxel grids with semantics. Compared to 3D object detection, grid perception has great advantage of better recognizing irregularly shaped, unkno...
cs/0607099
Syed Jafar
Syed A. Jafar, Shlomo Shamai (Shitz)
Degrees of Freedom Region for the MIMO X Channel
31 pages
null
null
null
cs.IT math.IT
null
We provide achievability as well as converse results for the degrees of freedom region of a MIMO $X$ channel, i.e., a system with two transmitters, two receivers, each equipped with multiple antennas, where independent messages need to be conveyed over fixed channels from each transmitter to each receiver. With M=1 a...
[ { "created": "Fri, 21 Jul 2006 07:50:42 GMT", "version": "v1" }, { "created": "Tue, 12 Sep 2006 23:55:53 GMT", "version": "v2" }, { "created": "Fri, 11 May 2007 20:48:40 GMT", "version": "v3" } ]
2007-07-13
[ [ "Jafar", "Syed A.", "", "Shitz" ], [ "Shamai", "Shlomo", "", "Shitz" ] ]
We provide achievability as well as converse results for the degrees of freedom region of a MIMO $X$ channel, i.e., a system with two transmitters, two receivers, each equipped with multiple antennas, where independent messages need to be conveyed over fixed channels from each transmitter to each receiver. With M=1 ant...
1905.13000
Nicol\`o Pagliana
Nicol\`o Pagliana and Lorenzo Rosasco
Implicit Regularization of Accelerated Methods in Hilbert Spaces
null
null
null
null
cs.LG math.OC math.SP stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study learning properties of accelerated gradient descent methods for linear least-squares in Hilbert spaces. We analyze the implicit regularization properties of Nesterov acceleration and a variant of heavy-ball in terms of corresponding learning error bounds. Our results show that acceleration can provides faste...
[ { "created": "Thu, 30 May 2019 12:37:23 GMT", "version": "v1" }, { "created": "Fri, 31 May 2019 10:41:40 GMT", "version": "v2" }, { "created": "Tue, 18 Jun 2019 07:34:58 GMT", "version": "v3" }, { "created": "Mon, 16 Dec 2019 03:47:45 GMT", "version": "v4" } ]
2019-12-17
[ [ "Pagliana", "Nicolò", "" ], [ "Rosasco", "Lorenzo", "" ] ]
We study learning properties of accelerated gradient descent methods for linear least-squares in Hilbert spaces. We analyze the implicit regularization properties of Nesterov acceleration and a variant of heavy-ball in terms of corresponding learning error bounds. Our results show that acceleration can provides faster ...
2103.04059
Ali Cheraghian
Ali Cheraghian, Shafin Rahman, Pengfei Fang, Soumava Kumar Roy, Lars Petersson, Mehrtash Harandi
Semantic-aware Knowledge Distillation for Few-Shot Class-Incremental Learning
Accepted at CVPR 2021
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Few-shot class incremental learning (FSCIL) portrays the problem of learning new concepts gradually, where only a few examples per concept are available to the learner. Due to the limited number of examples for training, the techniques developed for standard incremental learning cannot be applied verbatim to FSCIL. I...
[ { "created": "Sat, 6 Mar 2021 08:07:26 GMT", "version": "v1" }, { "created": "Wed, 31 Mar 2021 02:27:53 GMT", "version": "v2" } ]
2021-04-01
[ [ "Cheraghian", "Ali", "" ], [ "Rahman", "Shafin", "" ], [ "Fang", "Pengfei", "" ], [ "Roy", "Soumava Kumar", "" ], [ "Petersson", "Lars", "" ], [ "Harandi", "Mehrtash", "" ] ]
Few-shot class incremental learning (FSCIL) portrays the problem of learning new concepts gradually, where only a few examples per concept are available to the learner. Due to the limited number of examples for training, the techniques developed for standard incremental learning cannot be applied verbatim to FSCIL. In ...
1506.02515
Vadim Lebedev
Vadim Lebedev, Victor Lempitsky
Fast ConvNets Using Group-wise Brain Damage
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We revisit the idea of brain damage, i.e. the pruning of the coefficients of a neural network, and suggest how brain damage can be modified and used to speedup convolutional layers. The approach uses the fact that many efficient implementations reduce generalized convolutions to matrix multiplications. The suggested ...
[ { "created": "Mon, 8 Jun 2015 14:20:37 GMT", "version": "v1" }, { "created": "Mon, 7 Dec 2015 18:11:36 GMT", "version": "v2" } ]
2015-12-08
[ [ "Lebedev", "Vadim", "" ], [ "Lempitsky", "Victor", "" ] ]
We revisit the idea of brain damage, i.e. the pruning of the coefficients of a neural network, and suggest how brain damage can be modified and used to speedup convolutional layers. The approach uses the fact that many efficient implementations reduce generalized convolutions to matrix multiplications. The suggested br...
1307.5667
Masoumeh Vali
Masoumeh Vali
New Optimization Approach Using Clustering-Based Parallel Genetic Algorithm
null
null
null
null
cs.NE math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In many global Optimization Problems, it is required to evaluate a global point (min or max) in large space that calculation effort is very high. In this paper is presented new approach for optimization problem with subdivision labeling method (SLM) but in this method for higher dimensional has high calculation effor...
[ { "created": "Mon, 22 Jul 2013 12:07:22 GMT", "version": "v1" } ]
2013-07-23
[ [ "Vali", "Masoumeh", "" ] ]
In many global Optimization Problems, it is required to evaluate a global point (min or max) in large space that calculation effort is very high. In this paper is presented new approach for optimization problem with subdivision labeling method (SLM) but in this method for higher dimensional has high calculation effort....
cs/0603100
Alin Suciu PhD
Alin Suciu, Kalman Pusztai
Efficient Compression of Prolog Programs
null
null
null
null
cs.PL
null
We propose a special-purpose class of compression algorithms for efficient compression of Prolog programs. It is a dictionary-based compression method, specially designed for the compression of Prolog code, and therefore we name it PCA (Prolog Compression Algorithm). According to the experimental results this method ...
[ { "created": "Sun, 26 Mar 2006 20:27:40 GMT", "version": "v1" } ]
2007-05-23
[ [ "Suciu", "Alin", "" ], [ "Pusztai", "Kalman", "" ] ]
We propose a special-purpose class of compression algorithms for efficient compression of Prolog programs. It is a dictionary-based compression method, specially designed for the compression of Prolog code, and therefore we name it PCA (Prolog Compression Algorithm). According to the experimental results this method pr...
1212.6602
Haizhang Zhang
Haizhang Zhang
Multidimensional Analytic Signals and the Bedrosian Identity
null
null
null
null
cs.IT math.CA math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The analytic signal method via the Hilbert transform is a key tool in signal analysis and processing, especially in the time-frquency analysis. Imaging and other applications to multidimensional signals call for extension of the method to higher dimensions. We justify the usage of partial Hilbert transforms to define...
[ { "created": "Sat, 29 Dec 2012 09:18:52 GMT", "version": "v1" } ]
2013-01-01
[ [ "Zhang", "Haizhang", "" ] ]
The analytic signal method via the Hilbert transform is a key tool in signal analysis and processing, especially in the time-frquency analysis. Imaging and other applications to multidimensional signals call for extension of the method to higher dimensions. We justify the usage of partial Hilbert transforms to define m...
2404.14097
Gabriele Taentzer
Christoph Bockisch, Gabriele Taentzer, Daniel Neufeld
MMT: Mutation Testing of Java Bytecode with Model Transformation -- An Illustrative Demonstration
null
null
null
null
cs.SE
http://creativecommons.org/licenses/by/4.0/
Mutation testing is an approach to check the robustness of test suites. The program code is slightly changed by mutations to inject errors. A test suite is robust enough if it finds such errors. Tools for mutation testing usually integrate sets of mutation operators such as, for example, swapping arithmetic operators...
[ { "created": "Mon, 22 Apr 2024 11:33:21 GMT", "version": "v1" } ]
2024-04-23
[ [ "Bockisch", "Christoph", "" ], [ "Taentzer", "Gabriele", "" ], [ "Neufeld", "Daniel", "" ] ]
Mutation testing is an approach to check the robustness of test suites. The program code is slightly changed by mutations to inject errors. A test suite is robust enough if it finds such errors. Tools for mutation testing usually integrate sets of mutation operators such as, for example, swapping arithmetic operators; ...
2401.05912
Ivandr\'e Paraboni
Wesley Ramos dos Santos and Ivandre Paraboni
Prompt-based mental health screening from social media text
To appear in BrasNam-2024
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
This article presents a method for prompt-based mental health screening from a large and noisy dataset of social media text. Our method uses GPT 3.5. prompting to distinguish publications that may be more relevant to the task, and then uses a straightforward bag-of-words text classifier to predict actual user labels....
[ { "created": "Thu, 11 Jan 2024 13:44:28 GMT", "version": "v1" }, { "created": "Sat, 11 May 2024 12:18:51 GMT", "version": "v2" } ]
2024-05-14
[ [ "Santos", "Wesley Ramos dos", "" ], [ "Paraboni", "Ivandre", "" ] ]
This article presents a method for prompt-based mental health screening from a large and noisy dataset of social media text. Our method uses GPT 3.5. prompting to distinguish publications that may be more relevant to the task, and then uses a straightforward bag-of-words text classifier to predict actual user labels. R...
2309.14303
Tuan Truong Vu
Quang Nguyen, Truong Vu, Anh Tran, Khoi Nguyen
Dataset Diffusion: Diffusion-based Synthetic Dataset Generation for Pixel-Level Semantic Segmentation
Accepted to NeurIPS 2023. Our project page: https://dataset-diffusion.github.io/
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Preparing training data for deep vision models is a labor-intensive task. To address this, generative models have emerged as an effective solution for generating synthetic data. While current generative models produce image-level category labels, we propose a novel method for generating pixel-level semantic segmentat...
[ { "created": "Mon, 25 Sep 2023 17:19:26 GMT", "version": "v1" }, { "created": "Wed, 27 Sep 2023 04:26:29 GMT", "version": "v2" }, { "created": "Fri, 29 Sep 2023 03:28:36 GMT", "version": "v3" }, { "created": "Mon, 13 Nov 2023 05:11:52 GMT", "version": "v4" } ]
2023-11-14
[ [ "Nguyen", "Quang", "" ], [ "Vu", "Truong", "" ], [ "Tran", "Anh", "" ], [ "Nguyen", "Khoi", "" ] ]
Preparing training data for deep vision models is a labor-intensive task. To address this, generative models have emerged as an effective solution for generating synthetic data. While current generative models produce image-level category labels, we propose a novel method for generating pixel-level semantic segmentatio...
2103.01618
Eugene d'Eon
Eugene d'Eon
An analytic BRDF for materials with spherical Lambertian scatterers
11 pages
null
null
null
cs.GR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a new analytic BRDF for porous materials comprised of spherical Lambertian scatterers. The BRDF has a single parameter: the albedo of the Lambertian particles. The resulting appearance exhibits strong back scattering and saturation effects that height-field-based models such as Oren-Nayar cannot reproduce....
[ { "created": "Tue, 2 Mar 2021 10:19:17 GMT", "version": "v1" } ]
2021-03-03
[ [ "d'Eon", "Eugene", "" ] ]
We present a new analytic BRDF for porous materials comprised of spherical Lambertian scatterers. The BRDF has a single parameter: the albedo of the Lambertian particles. The resulting appearance exhibits strong back scattering and saturation effects that height-field-based models such as Oren-Nayar cannot reproduce.
1904.01913
Sudhir R. Ghorpade
Sudhir R. Ghorpade and Trygve Johnsen
A Polymatroid Approach to Generalized Weights of Rank Metric Codes
22 pages; with minor revisions in the previous version
null
null
null
cs.IT math.CO math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider the notion of a $(q,m)$-polymatroid, due to Shiromoto, and the more general notion of $(q,m)$-demi-polymatroid, and show how generalized weights can be defined for them. Further, we establish a duality for these weights analogous to Wei duality for generalized Hamming weights of linear codes. The correspo...
[ { "created": "Wed, 3 Apr 2019 11:00:14 GMT", "version": "v1" }, { "created": "Mon, 27 May 2019 16:03:12 GMT", "version": "v2" } ]
2019-05-28
[ [ "Ghorpade", "Sudhir R.", "" ], [ "Johnsen", "Trygve", "" ] ]
We consider the notion of a $(q,m)$-polymatroid, due to Shiromoto, and the more general notion of $(q,m)$-demi-polymatroid, and show how generalized weights can be defined for them. Further, we establish a duality for these weights analogous to Wei duality for generalized Hamming weights of linear codes. The correspond...
2101.11476
Alvaro Gomariz
Alvaro Gomariz, Raphael Egli, Tiziano Portenier, C\'esar Nombela-Arrieta, Orcun Goksel
Utilizing Uncertainty Estimation in Deep Learning Segmentation of Fluorescence Microscopy Images with Missing Markers
Accepted at the IEEE International Symposium on Biomedical Imaging (ISBI) 2021. 4 pages and 4 figures
null
null
null
cs.CV cs.LG eess.IV
http://creativecommons.org/licenses/by/4.0/
Fluorescence microscopy images contain several channels, each indicating a marker staining the sample. Since many different marker combinations are utilized in practice, it has been challenging to apply deep learning based segmentation models, which expect a predefined channel combination for all training samples as ...
[ { "created": "Wed, 27 Jan 2021 15:06:04 GMT", "version": "v1" } ]
2021-01-28
[ [ "Gomariz", "Alvaro", "" ], [ "Egli", "Raphael", "" ], [ "Portenier", "Tiziano", "" ], [ "Nombela-Arrieta", "César", "" ], [ "Goksel", "Orcun", "" ] ]
Fluorescence microscopy images contain several channels, each indicating a marker staining the sample. Since many different marker combinations are utilized in practice, it has been challenging to apply deep learning based segmentation models, which expect a predefined channel combination for all training samples as we...
2401.02097
Shao-Yu Chang
Jeffrey Zhang, Shao-Yu Chang, Kedan Li, David Forsyth
Preserving Image Properties Through Initializations in Diffusion Models
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Retail photography imposes specific requirements on images. For instance, images may need uniform background colors, consistent model poses, centered products, and consistent lighting. Minor deviations from these standards impact a site's aesthetic appeal, making the images unsuitable for use. We show that Stable Dif...
[ { "created": "Thu, 4 Jan 2024 06:55:49 GMT", "version": "v1" } ]
2024-01-05
[ [ "Zhang", "Jeffrey", "" ], [ "Chang", "Shao-Yu", "" ], [ "Li", "Kedan", "" ], [ "Forsyth", "David", "" ] ]
Retail photography imposes specific requirements on images. For instance, images may need uniform background colors, consistent model poses, centered products, and consistent lighting. Minor deviations from these standards impact a site's aesthetic appeal, making the images unsuitable for use. We show that Stable Diffu...
1903.05683
Mohammad Sadegh Rasooli
Mohammad Sadegh Rasooli and Michael Collins
Low-Resource Syntactic Transfer with Unsupervised Source Reordering
Accepted in NAACL 2019
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We describe a cross-lingual transfer method for dependency parsing that takes into account the problem of word order differences between source and target languages. Our model only relies on the Bible, a considerably smaller parallel data than the commonly used parallel data in transfer methods. We use the concatenat...
[ { "created": "Wed, 13 Mar 2019 19:01:00 GMT", "version": "v1" } ]
2019-03-15
[ [ "Rasooli", "Mohammad Sadegh", "" ], [ "Collins", "Michael", "" ] ]
We describe a cross-lingual transfer method for dependency parsing that takes into account the problem of word order differences between source and target languages. Our model only relies on the Bible, a considerably smaller parallel data than the commonly used parallel data in transfer methods. We use the concatenatio...
2212.04563
Harsiddh Kalariya
Harsiddh Kalariya, Kavish Shah and Vini Patel
An SLR on Edge Computing Security and possible threat protection
null
null
null
null
cs.CR
http://creativecommons.org/licenses/by/4.0/
Mobile and Internet of Things devices are generating enormous amounts of multi-modal data due to their exponential growth and accessibility. As a result, these data sources must be directly analyzed in real time at the network edge rather than relying on the cloud. Significant processing power at the network's edge h...
[ { "created": "Thu, 8 Dec 2022 21:10:20 GMT", "version": "v1" } ]
2022-12-12
[ [ "Kalariya", "Harsiddh", "" ], [ "Shah", "Kavish", "" ], [ "Patel", "Vini", "" ] ]
Mobile and Internet of Things devices are generating enormous amounts of multi-modal data due to their exponential growth and accessibility. As a result, these data sources must be directly analyzed in real time at the network edge rather than relying on the cloud. Significant processing power at the network's edge has...
2110.10746
Maxime Peyrard
Maxime Peyrard, Wei Zhao, Steffen Eger, Robert West
Better than Average: Paired Evaluation of NLP Systems
Published in ACL 2021 (long paper)
null
10.18653/v1/2021.acl-long.179
null
cs.CL cs.AI
http://creativecommons.org/licenses/by/4.0/
Evaluation in NLP is usually done by comparing the scores of competing systems independently averaged over a common set of test instances. In this work, we question the use of averages for aggregating evaluation scores into a final number used to decide which system is best, since the average, as well as alternatives...
[ { "created": "Wed, 20 Oct 2021 19:40:31 GMT", "version": "v1" } ]
2021-10-22
[ [ "Peyrard", "Maxime", "" ], [ "Zhao", "Wei", "" ], [ "Eger", "Steffen", "" ], [ "West", "Robert", "" ] ]
Evaluation in NLP is usually done by comparing the scores of competing systems independently averaged over a common set of test instances. In this work, we question the use of averages for aggregating evaluation scores into a final number used to decide which system is best, since the average, as well as alternatives s...
1312.7520
Muhammad Imran
Muhammad Imran
An Effective End-User Development Approach Through Domain-Specific Mashups for Research Impact Evaluation
This PhD dissertation consists of 206 pages
null
null
null
cs.DL cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Over the last decade, there has been growing interest in the assessment of the performance of researchers, research groups, universities and even countries. The assessment of productivity is an instrument to select and promote personnel, assign research grants and measure the results of research projects. One particu...
[ { "created": "Sun, 29 Dec 2013 11:19:21 GMT", "version": "v1" }, { "created": "Wed, 1 Jan 2014 18:11:41 GMT", "version": "v2" }, { "created": "Mon, 6 Jan 2014 19:08:43 GMT", "version": "v3" } ]
2014-01-07
[ [ "Imran", "Muhammad", "" ] ]
Over the last decade, there has been growing interest in the assessment of the performance of researchers, research groups, universities and even countries. The assessment of productivity is an instrument to select and promote personnel, assign research grants and measure the results of research projects. One particula...
1304.5705
Rajendra Bera
Rajendra K. Bera
A novice looks at emotional cognition
11 pages, 1 figure
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Modeling emotional-cognition is in a nascent stage and therefore wide-open for new ideas and discussions. In this paper the author looks at the modeling problem by bringing in ideas from axiomatic mathematics, information theory, computer science, molecular biology, non-linear dynamical systems and quantum computing ...
[ { "created": "Sun, 21 Apr 2013 08:08:38 GMT", "version": "v1" } ]
2013-04-23
[ [ "Bera", "Rajendra K.", "" ] ]
Modeling emotional-cognition is in a nascent stage and therefore wide-open for new ideas and discussions. In this paper the author looks at the modeling problem by bringing in ideas from axiomatic mathematics, information theory, computer science, molecular biology, non-linear dynamical systems and quantum computing an...
2206.09389
Nicolas Peltier
Mnacho Echenim and Nicolas Peltier
Two Results on Separation Logic With Theory Reasoning
ASL 2022 - Workshop on Advancing Separation Logic. arXiv admin note: substantial text overlap with arXiv:2201.13227
null
null
null
cs.LO
http://creativecommons.org/licenses/by/4.0/
Two results are presented concerning the entailment problem in Separation Logic with inductively defined predicate symbols and theory reasoning. First, we show that the entailment problem is undecidable for rules with bounded tree-width, if theory reasoning is considered. The result holds for a wide class of theories...
[ { "created": "Sun, 19 Jun 2022 12:40:10 GMT", "version": "v1" } ]
2022-06-22
[ [ "Echenim", "Mnacho", "" ], [ "Peltier", "Nicolas", "" ] ]
Two results are presented concerning the entailment problem in Separation Logic with inductively defined predicate symbols and theory reasoning. First, we show that the entailment problem is undecidable for rules with bounded tree-width, if theory reasoning is considered. The result holds for a wide class of theories, ...
1407.0474
Suzhi Bi
Suzhi Bi, Chin Keong Ho, and Rui Zhang
Recent Advances in Joint Wireless Energy and Information Transfer
Conference submission accepted by ITW 2014
null
null
null
cs.NI cs.IT math.IT
http://creativecommons.org/licenses/by/3.0/
In this paper, we provide an overview of the recent advances in microwave-enabled wireless energy transfer (WET) technologies and their applications in wireless communications. Specifically, we divide our discussions into three parts. First, we introduce the state-of-the-art WET technologies and the signal processing...
[ { "created": "Wed, 2 Jul 2014 07:51:08 GMT", "version": "v1" } ]
2014-07-03
[ [ "Bi", "Suzhi", "" ], [ "Ho", "Chin Keong", "" ], [ "Zhang", "Rui", "" ] ]
In this paper, we provide an overview of the recent advances in microwave-enabled wireless energy transfer (WET) technologies and their applications in wireless communications. Specifically, we divide our discussions into three parts. First, we introduce the state-of-the-art WET technologies and the signal processing t...
2108.07405
Xinyue Zhang
Xinyue Zhang, Nannan Wu, Zixu Zhen, Wenjun Wang
ANOMALYMAXQ:Anomaly-Structured Maximization to Query in Attributed Network
null
null
null
null
cs.DS cs.NA math.NA
http://creativecommons.org/licenses/by/4.0/
The detection of anomaly subgraphs naturally appears in various real-life tasks, yet label noise seriously interferes with the result. As a motivation for our work, we focus on inaccurate supervision and use prior knowledge to reduce effects of noise, like query graphs. Anomalies in attributed networks exhibit struct...
[ { "created": "Tue, 17 Aug 2021 02:13:22 GMT", "version": "v1" } ]
2021-08-18
[ [ "Zhang", "Xinyue", "" ], [ "Wu", "Nannan", "" ], [ "Zhen", "Zixu", "" ], [ "Wang", "Wenjun", "" ] ]
The detection of anomaly subgraphs naturally appears in various real-life tasks, yet label noise seriously interferes with the result. As a motivation for our work, we focus on inaccurate supervision and use prior knowledge to reduce effects of noise, like query graphs. Anomalies in attributed networks exhibit structur...
2001.01328
Xuechen Li
Xuechen Li, Ting-Kam Leonard Wong, Ricky T. Q. Chen, David Duvenaud
Scalable Gradients for Stochastic Differential Equations
AISTATS 2020; 25 pages, 6 figures in main text; clarify notation in appendix
null
null
null
cs.LG cs.NA math.NA stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The adjoint sensitivity method scalably computes gradients of solutions to ordinary differential equations. We generalize this method to stochastic differential equations, allowing time-efficient and constant-memory computation of gradients with high-order adaptive solvers. Specifically, we derive a stochastic differ...
[ { "created": "Sun, 5 Jan 2020 23:05:55 GMT", "version": "v1" }, { "created": "Tue, 7 Jan 2020 07:00:00 GMT", "version": "v2" }, { "created": "Wed, 8 Jan 2020 18:15:19 GMT", "version": "v3" }, { "created": "Mon, 24 Feb 2020 17:27:17 GMT", "version": "v4" }, { "crea...
2020-10-20
[ [ "Li", "Xuechen", "" ], [ "Wong", "Ting-Kam Leonard", "" ], [ "Chen", "Ricky T. Q.", "" ], [ "Duvenaud", "David", "" ] ]
The adjoint sensitivity method scalably computes gradients of solutions to ordinary differential equations. We generalize this method to stochastic differential equations, allowing time-efficient and constant-memory computation of gradients with high-order adaptive solvers. Specifically, we derive a stochastic differen...
2308.16602
Nesreen Mufid
Nesreen Mufid
Design Challenges for the Implementation of Smart Homes
null
null
null
null
cs.CR eess.SP
http://creativecommons.org/licenses/by-sa/4.0/
Home automation for many years had faced challenges that limit its spreading around the world. These challenges caused by the high cost of Own such a home, inflexibility system (cannot be monitored outside the home) and issues to achieve optimal security. Our main objective is to design and implement a smart home mod...
[ { "created": "Thu, 31 Aug 2023 10:03:29 GMT", "version": "v1" } ]
2023-09-01
[ [ "Mufid", "Nesreen", "" ] ]
Home automation for many years had faced challenges that limit its spreading around the world. These challenges caused by the high cost of Own such a home, inflexibility system (cannot be monitored outside the home) and issues to achieve optimal security. Our main objective is to design and implement a smart home model...
cs/0411020
Vedran Kordic
A. Albagul and Wahyudi
Dynamic Modelling and Adaptive Traction Control for Mobile Robots
null
International Journal of Advanced Robotic Systems, Volume 1, Number 3, September 2004, pp.149-154
null
null
cs.RO
null
Mobile robots have received a great deal of research in recent years. A significant amount of research has been published in many aspects related to mobile robots. Most of the research is devoted to design and develop some control techniques for robot motion and path planning. A large number of researchers have used ...
[ { "created": "Mon, 8 Nov 2004 20:44:03 GMT", "version": "v1" } ]
2007-05-23
[ [ "Albagul", "A.", "" ], [ "Wahyudi", "", "" ] ]
Mobile robots have received a great deal of research in recent years. A significant amount of research has been published in many aspects related to mobile robots. Most of the research is devoted to design and develop some control techniques for robot motion and path planning. A large number of researchers have used ki...
2102.03583
Vincent Neiger
Seung Gyu Hyun, Vincent Neiger, \'Eric Schost
Algorithms for Linearly Recurrent Sequences of Truncated Polynomials
8 pages, ISSAC 2021
null
null
null
cs.SC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Linear recurrent sequences are those whose elements are defined as linear combinations of preceding elements, and finding recurrence relations is a fundamental problem in computer algebra. In this paper, we focus on sequences whose elements are vectors over the ring $\mathbb{A} = \mathbb{K}[x]/(x^d)$ of truncated pol...
[ { "created": "Sat, 6 Feb 2021 13:21:03 GMT", "version": "v1" }, { "created": "Tue, 8 Jun 2021 20:23:09 GMT", "version": "v2" } ]
2021-06-10
[ [ "Hyun", "Seung Gyu", "" ], [ "Neiger", "Vincent", "" ], [ "Schost", "Éric", "" ] ]
Linear recurrent sequences are those whose elements are defined as linear combinations of preceding elements, and finding recurrence relations is a fundamental problem in computer algebra. In this paper, we focus on sequences whose elements are vectors over the ring $\mathbb{A} = \mathbb{K}[x]/(x^d)$ of truncated polyn...
1212.0114
Dilip Aldar
Bhalchandra B. Godbole, Dilip S. Aldar
Performance Improvement by Changing Modulation Methods for Software Defined Radios
IJACSA
null
null
null
cs.OH
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper describes an automatic switching of modulation method to reconfigure transceivers of Software Defined Radio (SDR) based wireless communication system. The programmable architecture of Software Radio promotes a flexible implementation of modulation methods. This flexibility also translates into adaptively, ...
[ { "created": "Sat, 1 Dec 2012 13:47:25 GMT", "version": "v1" } ]
2012-12-04
[ [ "Godbole", "Bhalchandra B.", "" ], [ "Aldar", "Dilip S.", "" ] ]
This paper describes an automatic switching of modulation method to reconfigure transceivers of Software Defined Radio (SDR) based wireless communication system. The programmable architecture of Software Radio promotes a flexible implementation of modulation methods. This flexibility also translates into adaptively, wh...
1806.02300
Yuankai Huo
Yuankai Huo, Katherine Swett, Susan M. Resnick, Laurie E. Cutting, Bennett A. Landman
Data-driven Probabilistic Atlases Capture Whole-brain Individual Variation
null
null
null
null
cs.LG q-bio.NC stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Probabilistic atlases provide essential spatial contextual information for image interpretation, Bayesian modeling, and algorithmic processing. Such atlases are typically constructed by grouping subjects with similar demographic information. Importantly, use of the same scanner minimizes inter-group variability. Howe...
[ { "created": "Wed, 6 Jun 2018 16:53:55 GMT", "version": "v1" } ]
2018-06-07
[ [ "Huo", "Yuankai", "" ], [ "Swett", "Katherine", "" ], [ "Resnick", "Susan M.", "" ], [ "Cutting", "Laurie E.", "" ], [ "Landman", "Bennett A.", "" ] ]
Probabilistic atlases provide essential spatial contextual information for image interpretation, Bayesian modeling, and algorithmic processing. Such atlases are typically constructed by grouping subjects with similar demographic information. Importantly, use of the same scanner minimizes inter-group variability. Howeve...
2404.09737
Daria Cherniuk
Daniil Merkulov, Daria Cherniuk, Alexander Rudikov, Ivan Oseledets, Ekaterina Muravleva, Aleksandr Mikhalev, Boris Kashin
Quantization of Large Language Models with an Overdetermined Basis
null
null
null
null
cs.LG cs.CL
http://creativecommons.org/licenses/by/4.0/
In this paper, we introduce an algorithm for data quantization based on the principles of Kashin representation. This approach hinges on decomposing any given vector, matrix, or tensor into two factors. The first factor maintains a small infinity norm, while the second exhibits a similarly constrained norm when multi...
[ { "created": "Mon, 15 Apr 2024 12:38:46 GMT", "version": "v1" } ]
2024-04-16
[ [ "Merkulov", "Daniil", "" ], [ "Cherniuk", "Daria", "" ], [ "Rudikov", "Alexander", "" ], [ "Oseledets", "Ivan", "" ], [ "Muravleva", "Ekaterina", "" ], [ "Mikhalev", "Aleksandr", "" ], [ "Kashin", "Boris", ...
In this paper, we introduce an algorithm for data quantization based on the principles of Kashin representation. This approach hinges on decomposing any given vector, matrix, or tensor into two factors. The first factor maintains a small infinity norm, while the second exhibits a similarly constrained norm when multipl...
1703.06520
Baoguang Shi
Baoguang Shi, Xiang Bai, Serge Belongie
Detecting Oriented Text in Natural Images by Linking Segments
To Appear in CVPR 2017
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Most state-of-the-art text detection methods are specific to horizontal Latin text and are not fast enough for real-time applications. We introduce Segment Linking (SegLink), an oriented text detection method. The main idea is to decompose text into two locally detectable elements, namely segments and links. A segmen...
[ { "created": "Sun, 19 Mar 2017 21:43:41 GMT", "version": "v1" }, { "created": "Fri, 24 Mar 2017 03:18:55 GMT", "version": "v2" }, { "created": "Thu, 13 Apr 2017 17:40:43 GMT", "version": "v3" } ]
2017-04-14
[ [ "Shi", "Baoguang", "" ], [ "Bai", "Xiang", "" ], [ "Belongie", "Serge", "" ] ]
Most state-of-the-art text detection methods are specific to horizontal Latin text and are not fast enough for real-time applications. We introduce Segment Linking (SegLink), an oriented text detection method. The main idea is to decompose text into two locally detectable elements, namely segments and links. A segment ...
2206.11489
Pihe Hu
Pihe Hu, Yu Chen, Longbo Huang
Nearly Minimax Optimal Reinforcement Learning with Linear Function Approximation
This is an updated version of our ICML camera-ready version, which has a technical error in building the over-optimistic value function. In this version, this error is fixed using the technique of the "rare-switching" value function from (He et al., 2022)
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study reinforcement learning with linear function approximation where the transition probability and reward functions are linear with respect to a feature mapping $\boldsymbol{\phi}(s,a)$. Specifically, we consider the episodic inhomogeneous linear Markov Decision Process (MDP), and propose a novel computation-eff...
[ { "created": "Thu, 23 Jun 2022 06:04:21 GMT", "version": "v1" }, { "created": "Thu, 19 Jan 2023 17:25:20 GMT", "version": "v2" }, { "created": "Sun, 29 Jan 2023 16:14:06 GMT", "version": "v3" } ]
2023-01-31
[ [ "Hu", "Pihe", "" ], [ "Chen", "Yu", "" ], [ "Huang", "Longbo", "" ] ]
We study reinforcement learning with linear function approximation where the transition probability and reward functions are linear with respect to a feature mapping $\boldsymbol{\phi}(s,a)$. Specifically, we consider the episodic inhomogeneous linear Markov Decision Process (MDP), and propose a novel computation-effic...
2312.04606
Fengze Sun
Fengze Sun, Jianzhong Qi, Yanchuan Chang, Xiaoliang Fan, Shanika Karunasekera, Egemen Tanin
Urban Region Representation Learning with Attentive Fusion
null
null
null
null
cs.LG cs.DB
http://creativecommons.org/licenses/by-nc-nd/4.0/
An increasing number of related urban data sources have brought forth novel opportunities for learning urban region representations, i.e., embeddings. The embeddings describe latent features of urban regions and enable discovering similar regions for urban planning applications. Existing methods learn an embedding fo...
[ { "created": "Thu, 7 Dec 2023 11:05:06 GMT", "version": "v1" }, { "created": "Fri, 26 Apr 2024 05:56:32 GMT", "version": "v2" } ]
2024-04-29
[ [ "Sun", "Fengze", "" ], [ "Qi", "Jianzhong", "" ], [ "Chang", "Yanchuan", "" ], [ "Fan", "Xiaoliang", "" ], [ "Karunasekera", "Shanika", "" ], [ "Tanin", "Egemen", "" ] ]
An increasing number of related urban data sources have brought forth novel opportunities for learning urban region representations, i.e., embeddings. The embeddings describe latent features of urban regions and enable discovering similar regions for urban planning applications. Existing methods learn an embedding for ...
1710.08014
Wenguan Wang
Wenguan Wang and Jianbing Shen
Deep Cropping via Attention Box Prediction and Aesthetics Assessment
Accepted by ICCV2017
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
We model the photo cropping problem as a cascade of attention box regression and aesthetic quality classification, based on deep learning. A neural network is designed that has two branches for predicting attention bounding box and analyzing aesthetics, respectively. The predicted attention box is treated as an initi...
[ { "created": "Sun, 22 Oct 2017 21:03:01 GMT", "version": "v1" } ]
2017-10-24
[ [ "Wang", "Wenguan", "" ], [ "Shen", "Jianbing", "" ] ]
We model the photo cropping problem as a cascade of attention box regression and aesthetic quality classification, based on deep learning. A neural network is designed that has two branches for predicting attention bounding box and analyzing aesthetics, respectively. The predicted attention box is treated as an initial...
1805.04605
Adrian Dalca
Adrian V. Dalca, Guha Balakrishnan, John Guttag, Mert R. Sabuncu
Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration
MICCAI 2018 (Oral Presentation). Proceedings: LNCS 11070, pp 729-738
LNCS 11070, pp 729-738, Springer. 2018
10.1007/978-3-030-00928-1_82
null
cs.CV cs.GR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Traditional deformable registration techniques achieve impressive results and offer a rigorous theoretical treatment, but are computationally intensive since they solve an optimization problem for each image pair. Recently, learning-based methods have facilitated fast registration by learning spatial deformation func...
[ { "created": "Fri, 11 May 2018 22:12:01 GMT", "version": "v1" }, { "created": "Fri, 14 Sep 2018 13:28:36 GMT", "version": "v2" } ]
2019-03-15
[ [ "Dalca", "Adrian V.", "" ], [ "Balakrishnan", "Guha", "" ], [ "Guttag", "John", "" ], [ "Sabuncu", "Mert R.", "" ] ]
Traditional deformable registration techniques achieve impressive results and offer a rigorous theoretical treatment, but are computationally intensive since they solve an optimization problem for each image pair. Recently, learning-based methods have facilitated fast registration by learning spatial deformation functi...
2307.01448
Ming Zhong
Ming Zhong, Siru Ouyang, Minhao Jiang, Vivian Hu, Yizhu Jiao, Xuan Wang, Jiawei Han
ReactIE: Enhancing Chemical Reaction Extraction with Weak Supervision
Findings of ACL 2023, Short Paper
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Structured chemical reaction information plays a vital role for chemists engaged in laboratory work and advanced endeavors such as computer-aided drug design. Despite the importance of extracting structured reactions from scientific literature, data annotation for this purpose is cost-prohibitive due to the significa...
[ { "created": "Tue, 4 Jul 2023 02:52:30 GMT", "version": "v1" } ]
2023-07-06
[ [ "Zhong", "Ming", "" ], [ "Ouyang", "Siru", "" ], [ "Jiang", "Minhao", "" ], [ "Hu", "Vivian", "" ], [ "Jiao", "Yizhu", "" ], [ "Wang", "Xuan", "" ], [ "Han", "Jiawei", "" ] ]
Structured chemical reaction information plays a vital role for chemists engaged in laboratory work and advanced endeavors such as computer-aided drug design. Despite the importance of extracting structured reactions from scientific literature, data annotation for this purpose is cost-prohibitive due to the significant...