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2306.08403
Oumaima El Khettari
Oumaima El Khettari, Solen Quiniou, Samuel Chaffron
Building a Corpus for Biomedical Relation Extraction of Species Mentions
Accepted in BioNLP@ACL 2023
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
We present a manually annotated corpus, Species-Species Interaction, for extracting meaningful binary relations between species, in biomedical texts, at sentence level, with a focus on the gut microbiota. The corpus leverages PubTator to annotate species in full-text articles after evaluating different Named Entity R...
[ { "created": "Wed, 14 Jun 2023 09:56:32 GMT", "version": "v1" } ]
2023-06-16
[ [ "Khettari", "Oumaima El", "" ], [ "Quiniou", "Solen", "" ], [ "Chaffron", "Samuel", "" ] ]
We present a manually annotated corpus, Species-Species Interaction, for extracting meaningful binary relations between species, in biomedical texts, at sentence level, with a focus on the gut microbiota. The corpus leverages PubTator to annotate species in full-text articles after evaluating different Named Entity Rec...
2310.03702
Samuel Taggart
Jason Hartline, Darrell Hoy, and Samuel Taggart
Robust Analysis of Auction Equilibria
This paper provides an economic interpretation on results presented in an extended abstract under the title "Price of Anarchy for Auction Revenue" at the fifteenth ACM Conference on Economics and Computation
null
null
null
cs.GT
http://creativecommons.org/licenses/by/4.0/
Equilibria in auctions can be very difficult to analyze, beyond the symmetric environments where revenue equivalence renders the analysis straightforward. This paper takes a robust approach to evaluating the equilibria of auctions. Rather than identify the equilibria of an auction under specific environmental conditi...
[ { "created": "Thu, 5 Oct 2023 17:23:09 GMT", "version": "v1" } ]
2023-10-06
[ [ "Hartline", "Jason", "" ], [ "Hoy", "Darrell", "" ], [ "Taggart", "Samuel", "" ] ]
Equilibria in auctions can be very difficult to analyze, beyond the symmetric environments where revenue equivalence renders the analysis straightforward. This paper takes a robust approach to evaluating the equilibria of auctions. Rather than identify the equilibria of an auction under specific environmental condition...
1709.02285
Darius Burschka
Darius Burschka
Monocular Navigation in Large Scale Dynamic Environments
2017 British Machine Vision Conference, London (BMVC 2017)
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a processing technique for a robust reconstruction of motion properties for single points in large scale, dynamic environments. We assume that the acquisition camera is moving and that there are other independently moving agents in a large environment, like road scenarios. The separation of direction and m...
[ { "created": "Thu, 7 Sep 2017 14:46:45 GMT", "version": "v1" } ]
2017-09-08
[ [ "Burschka", "Darius", "" ] ]
We present a processing technique for a robust reconstruction of motion properties for single points in large scale, dynamic environments. We assume that the acquisition camera is moving and that there are other independently moving agents in a large environment, like road scenarios. The separation of direction and mag...
1211.6988
Florian Meyer
Florian Meyer, Erwin Riegler, Ondrej Hlinka, and Franz Hlawatsch
Simultaneous Distributed Sensor Self-Localization and Target Tracking Using Belief Propagation and Likelihood Consensus
10 pages, 5 figures
null
null
null
cs.NI cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce the framework of cooperative simultaneous localization and tracking (CoSLAT), which provides a consistent combination of cooperative self-localization (CSL) and distributed target tracking (DTT) in sensor networks without a fusion center. CoSLAT extends simultaneous localization and tracking (SLAT) in th...
[ { "created": "Thu, 29 Nov 2012 17:14:55 GMT", "version": "v1" } ]
2012-11-30
[ [ "Meyer", "Florian", "" ], [ "Riegler", "Erwin", "" ], [ "Hlinka", "Ondrej", "" ], [ "Hlawatsch", "Franz", "" ] ]
We introduce the framework of cooperative simultaneous localization and tracking (CoSLAT), which provides a consistent combination of cooperative self-localization (CSL) and distributed target tracking (DTT) in sensor networks without a fusion center. CoSLAT extends simultaneous localization and tracking (SLAT) in that...
1406.1528
Dustin Lang
Dustin Lang, David W. Hogg, and Bernhard Scholkopf
Towards building a Crowd-Sourced Sky Map
Appeared at AI-STATS 2014
JMLR Workshop and Conference Proceedings, 33 (AI & Statistics 2014), 549
null
null
cs.CV astro-ph.IM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We describe a system that builds a high dynamic-range and wide-angle image of the night sky by combining a large set of input images. The method makes use of pixel-rank information in the individual input images to improve a "consensus" pixel rank in the combined image. Because it only makes use of ranks and the comp...
[ { "created": "Thu, 5 Jun 2014 21:18:44 GMT", "version": "v1" } ]
2014-06-09
[ [ "Lang", "Dustin", "" ], [ "Hogg", "David W.", "" ], [ "Scholkopf", "Bernhard", "" ] ]
We describe a system that builds a high dynamic-range and wide-angle image of the night sky by combining a large set of input images. The method makes use of pixel-rank information in the individual input images to improve a "consensus" pixel rank in the combined image. Because it only makes use of ranks and the comple...
1806.02366
Alex James Dr
Kamilya Smagulova and Kazybek Adam and Olga Krestinskaya and Alex Pappachen James
Design of CMOS-memristor Circuits for LSTM architecture
null
IEEE International Conferences on Electron Devices and Solid-State Circuits, 2018
null
null
cs.ET
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Long Short-Term memory (LSTM) architecture is a well-known approach for building recurrent neural networks (RNN) useful in sequential processing of data in application to natural language processing. The near-sensor hardware implementation of LSTM is challenged due to large parallelism and complexity. We propose a 0....
[ { "created": "Wed, 6 Jun 2018 18:14:59 GMT", "version": "v1" } ]
2018-06-08
[ [ "Smagulova", "Kamilya", "" ], [ "Adam", "Kazybek", "" ], [ "Krestinskaya", "Olga", "" ], [ "James", "Alex Pappachen", "" ] ]
Long Short-Term memory (LSTM) architecture is a well-known approach for building recurrent neural networks (RNN) useful in sequential processing of data in application to natural language processing. The near-sensor hardware implementation of LSTM is challenged due to large parallelism and complexity. We propose a 0.18...
1603.02130
Jing (Janet) Liu
Jing Liu and John D. Backes and Darren Cofer and Andrew Gacek
From Design Contracts to Component Requirements Verification
15 pages, 2 figures, conference submission
null
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
During the development and verification of complex airborne systems, a variety of languages and development environments are used for different levels of the system hierarchy. As a result, there may be manual steps to translate requirements between these different environments. This paper presents a tool-supported ex...
[ { "created": "Mon, 7 Mar 2016 16:09:42 GMT", "version": "v1" }, { "created": "Fri, 22 Apr 2016 21:28:19 GMT", "version": "v2" } ]
2016-04-26
[ [ "Liu", "Jing", "" ], [ "Backes", "John D.", "" ], [ "Cofer", "Darren", "" ], [ "Gacek", "Andrew", "" ] ]
During the development and verification of complex airborne systems, a variety of languages and development environments are used for different levels of the system hierarchy. As a result, there may be manual steps to translate requirements between these different environments. This paper presents a tool-supported expo...
2304.10664
Miriam J\"ager
Miriam J\"ager, Patrick H\"ubner, Dennis Haitz, Boris Jutzi
A Comparative Neural Radiance Field (NeRF) 3D Analysis of Camera Poses from HoloLens Trajectories and Structure from Motion
7 pages, 5 figures. Will be published in the ISPRS The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Neural Radiance Fields (NeRFs) are trained using a set of camera poses and associated images as input to estimate density and color values for each position. The position-dependent density learning is of particular interest for photogrammetry, enabling 3D reconstruction by querying and filtering the NeRF coordinate s...
[ { "created": "Thu, 20 Apr 2023 22:17:28 GMT", "version": "v1" } ]
2023-04-24
[ [ "Jäger", "Miriam", "" ], [ "Hübner", "Patrick", "" ], [ "Haitz", "Dennis", "" ], [ "Jutzi", "Boris", "" ] ]
Neural Radiance Fields (NeRFs) are trained using a set of camera poses and associated images as input to estimate density and color values for each position. The position-dependent density learning is of particular interest for photogrammetry, enabling 3D reconstruction by querying and filtering the NeRF coordinate sys...
1805.00976
Saba Ahmadian
Saba Ahmadian, Onur Mutlu, and Hossein Asadi
ECI-Cache: A High-Endurance and Cost-Efficient I/O Caching Scheme for Virtualized Platforms
null
Proceedings of the ACM on Measurement and Analysis of Computing Systems 2.1 (2018): 9
10.1145/3179412
null
cs.AR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In recent years, high interest in using Virtual Machines (VMs) in data centers and Cloud computing has significantly increased the demand for high-performance data storage systems. Recent studies suggest using SSDs as a caching layer for HDD-based storage subsystems in virtualization platforms. Such studies neglect t...
[ { "created": "Wed, 2 May 2018 18:41:58 GMT", "version": "v1" } ]
2018-05-04
[ [ "Ahmadian", "Saba", "" ], [ "Mutlu", "Onur", "" ], [ "Asadi", "Hossein", "" ] ]
In recent years, high interest in using Virtual Machines (VMs) in data centers and Cloud computing has significantly increased the demand for high-performance data storage systems. Recent studies suggest using SSDs as a caching layer for HDD-based storage subsystems in virtualization platforms. Such studies neglect to ...
2210.14582
Yan Huang
Xiang Long, Yan Huang, Zhendong Liu, Lansheng Han, Haili Sun, Jingyuan He
WebCrack: Dynamic Dictionary Adjustment for Web Weak Password Detection based on Blasting Response Event Discrimination
22 pages, 6 figures, 4 tables
null
null
null
cs.CR cs.DS
http://creativecommons.org/licenses/by/4.0/
The feature diversity of different web systems in page elements, submission contents and return information makes it difficult to detect weak password automatically. To solve this problem, multi-factor correlation detection method as integrated in the DBKER algorithm is proposed to achieve automatic detection of web ...
[ { "created": "Wed, 26 Oct 2022 09:34:41 GMT", "version": "v1" } ]
2022-10-27
[ [ "Long", "Xiang", "" ], [ "Huang", "Yan", "" ], [ "Liu", "Zhendong", "" ], [ "Han", "Lansheng", "" ], [ "Sun", "Haili", "" ], [ "He", "Jingyuan", "" ] ]
The feature diversity of different web systems in page elements, submission contents and return information makes it difficult to detect weak password automatically. To solve this problem, multi-factor correlation detection method as integrated in the DBKER algorithm is proposed to achieve automatic detection of web we...
1703.07534
Dong Liu
Jingxian Zhang and Dong Liu
Visual Analyses of Music History: A User-Centric Approach
null
null
null
null
cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Music history, referring to the records of users' listening or downloading history in online music services, is the primary source for music service providers to analyze users' preferences on music and thus to provide personalized recommendations to users. In order to engage users into the service and to improve user...
[ { "created": "Wed, 22 Mar 2017 05:37:19 GMT", "version": "v1" } ]
2017-03-23
[ [ "Zhang", "Jingxian", "" ], [ "Liu", "Dong", "" ] ]
Music history, referring to the records of users' listening or downloading history in online music services, is the primary source for music service providers to analyze users' preferences on music and thus to provide personalized recommendations to users. In order to engage users into the service and to improve user e...
2403.11752
Vigneshwaran Shankaran
Aditya Narayan Sankaran, Vigneshwaran Shankaran, Sampath Lonka, Rajesh Sharma
Revisiting The Classics: A Study on Identifying and Rectifying Gender Stereotypes in Rhymes and Poems
Accepted to appear at LREC-COLING 2024
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Rhymes and poems are a powerful medium for transmitting cultural norms and societal roles. However, the pervasive existence of gender stereotypes in these works perpetuates biased perceptions and limits the scope of individuals' identities. Past works have shown that stereotyping and prejudice emerge in early childho...
[ { "created": "Mon, 18 Mar 2024 13:02:02 GMT", "version": "v1" }, { "created": "Mon, 25 Mar 2024 16:33:12 GMT", "version": "v2" } ]
2024-03-26
[ [ "Sankaran", "Aditya Narayan", "" ], [ "Shankaran", "Vigneshwaran", "" ], [ "Lonka", "Sampath", "" ], [ "Sharma", "Rajesh", "" ] ]
Rhymes and poems are a powerful medium for transmitting cultural norms and societal roles. However, the pervasive existence of gender stereotypes in these works perpetuates biased perceptions and limits the scope of individuals' identities. Past works have shown that stereotyping and prejudice emerge in early childhood...
1608.08505
Carla Binucci
Carla Binucci, Markus Chimani, Walter Didimo, Giuseppe Liotta, Fabrizio Montecchiani
Placing Arrows in Directed Graph Drawings
Appears in the Proceedings of the 24th International Symposium on Graph Drawing and Network Visualization (GD 2016)
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider the problem of placing arrow heads in directed graph drawings without them overlapping other drawn objects. This gives drawings where edge directions can be deduced unambiguously. We show hardness of the problem, present exact and heuristic algorithms, and report on a practical study.
[ { "created": "Tue, 30 Aug 2016 15:33:56 GMT", "version": "v1" } ]
2016-08-31
[ [ "Binucci", "Carla", "" ], [ "Chimani", "Markus", "" ], [ "Didimo", "Walter", "" ], [ "Liotta", "Giuseppe", "" ], [ "Montecchiani", "Fabrizio", "" ] ]
We consider the problem of placing arrow heads in directed graph drawings without them overlapping other drawn objects. This gives drawings where edge directions can be deduced unambiguously. We show hardness of the problem, present exact and heuristic algorithms, and report on a practical study.
2308.09604
Xiaokang Pan
Jin Liu, Xiaokang Pan, Junwen Duan, Hongdong Li, Youqi Li, Zhe Qu
Faster Stochastic Variance Reduction Methods for Compositional MiniMax Optimization
null
null
null
null
cs.LG math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper delves into the realm of stochastic optimization for compositional minimax optimization - a pivotal challenge across various machine learning domains, including deep AUC and reinforcement learning policy evaluation. Despite its significance, the problem of compositional minimax optimization is still under-...
[ { "created": "Fri, 18 Aug 2023 14:57:21 GMT", "version": "v1" }, { "created": "Tue, 12 Dec 2023 05:28:51 GMT", "version": "v2" } ]
2023-12-13
[ [ "Liu", "Jin", "" ], [ "Pan", "Xiaokang", "" ], [ "Duan", "Junwen", "" ], [ "Li", "Hongdong", "" ], [ "Li", "Youqi", "" ], [ "Qu", "Zhe", "" ] ]
This paper delves into the realm of stochastic optimization for compositional minimax optimization - a pivotal challenge across various machine learning domains, including deep AUC and reinforcement learning policy evaluation. Despite its significance, the problem of compositional minimax optimization is still under-ex...
2208.12850
Michael Baddeley Dr
Michael Baddeley, Yevgen Gyl, Markus Schuss, Xiaoyuan Ma, and Carlo Alberto Boano
OSF: An Open-Source Framework for Synchronous Flooding over Multiple Physical Layers
null
null
null
null
cs.NI
http://creativecommons.org/licenses/by/4.0/
Flooding protocols based on concurrent transmissions are regarded as the most reliable way to collect or disseminate data across a multi-hop low-power wireless mesh network. Recent works have shown that such protocols are effective for narrowband communication not only over IEEE 802.15.4, but also over the BLE 5 phys...
[ { "created": "Fri, 26 Aug 2022 19:40:29 GMT", "version": "v1" } ]
2022-08-30
[ [ "Baddeley", "Michael", "" ], [ "Gyl", "Yevgen", "" ], [ "Schuss", "Markus", "" ], [ "Ma", "Xiaoyuan", "" ], [ "Boano", "Carlo Alberto", "" ] ]
Flooding protocols based on concurrent transmissions are regarded as the most reliable way to collect or disseminate data across a multi-hop low-power wireless mesh network. Recent works have shown that such protocols are effective for narrowband communication not only over IEEE 802.15.4, but also over the BLE 5 physic...
2210.09604
Xiaoning Liu
Xiaoning Liu
Perceptual Multi-Exposure Fusion
The current version is our previous work rejected by IEEE TMM. I'm very sorry and I want to withdraw this submitted version. I will resubmit it when I improve it in the future. The version involves some ideas we are doing
null
null
null
cs.CV eess.IV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
As an ever-increasing demand for high dynamic range (HDR) scene shooting, multi-exposure image fusion (MEF) technology has abounded. In recent years, multi-scale exposure fusion approaches based on detail-enhancement have led the way for improvement in highlight and shadow details. Most of such methods, however, are ...
[ { "created": "Tue, 18 Oct 2022 05:34:58 GMT", "version": "v1" }, { "created": "Wed, 19 Oct 2022 06:58:48 GMT", "version": "v2" } ]
2022-10-20
[ [ "Liu", "Xiaoning", "" ] ]
As an ever-increasing demand for high dynamic range (HDR) scene shooting, multi-exposure image fusion (MEF) technology has abounded. In recent years, multi-scale exposure fusion approaches based on detail-enhancement have led the way for improvement in highlight and shadow details. Most of such methods, however, are to...
1904.01782
Rui Liu
Rui Liu, Yu Liu, Xinyu Gong, Xiaogang Wang, Hongsheng Li
Conditional Adversarial Generative Flow for Controllable Image Synthesis
Accepted by CVPR 2019
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Flow-based generative models show great potential in image synthesis due to its reversible pipeline and exact log-likelihood target, yet it suffers from weak ability for conditional image synthesis, especially for multi-label or unaware conditions. This is because the potential distribution of image conditions is har...
[ { "created": "Wed, 3 Apr 2019 05:58:01 GMT", "version": "v1" } ]
2019-04-04
[ [ "Liu", "Rui", "" ], [ "Liu", "Yu", "" ], [ "Gong", "Xinyu", "" ], [ "Wang", "Xiaogang", "" ], [ "Li", "Hongsheng", "" ] ]
Flow-based generative models show great potential in image synthesis due to its reversible pipeline and exact log-likelihood target, yet it suffers from weak ability for conditional image synthesis, especially for multi-label or unaware conditions. This is because the potential distribution of image conditions is hard ...
1511.08063
Julien Mineraud
Julien Mineraud and Sasu Tarkoma
Toward interoperability for the Internet of Things with meta-hubs
7 pages, 4 figures
null
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The Internet of Things (IoT) envisions that objects may be connected to the Internet, producing and consuming data in real-time. Today, numerous middleware platforms are available to facilitate the communication with these objects. Unfortunately, the interoperability of these platforms is very limited because it requ...
[ { "created": "Wed, 25 Nov 2015 13:57:08 GMT", "version": "v1" } ]
2015-11-26
[ [ "Mineraud", "Julien", "" ], [ "Tarkoma", "Sasu", "" ] ]
The Internet of Things (IoT) envisions that objects may be connected to the Internet, producing and consuming data in real-time. Today, numerous middleware platforms are available to facilitate the communication with these objects. Unfortunately, the interoperability of these platforms is very limited because it requir...
2203.10579
\`Alex R. Atrio
\`Alex R. Atrio, Andrei Popescu-Belis
Small Batch Sizes Improve Training of Low-Resource Neural MT
To be published in 18th International Conference on Natural Language Processing (ICON 2021)
null
null
null
cs.CL cs.AI cs.LG
http://creativecommons.org/licenses/by/4.0/
We study the role of an essential hyper-parameter that governs the training of Transformers for neural machine translation in a low-resource setting: the batch size. Using theoretical insights and experimental evidence, we argue against the widespread belief that batch size should be set as large as allowed by the me...
[ { "created": "Sun, 20 Mar 2022 15:14:39 GMT", "version": "v1" } ]
2022-03-22
[ [ "Atrio", "Àlex R.", "" ], [ "Popescu-Belis", "Andrei", "" ] ]
We study the role of an essential hyper-parameter that governs the training of Transformers for neural machine translation in a low-resource setting: the batch size. Using theoretical insights and experimental evidence, we argue against the widespread belief that batch size should be set as large as allowed by the memo...
0805.4323
Martin Hoefer
Ulrik Brandes, Martin Hoefer, Bobo Nick
Network Connection Games with Disconnected Equilibria
18 pages, 4 figures, extended abstract in WINE 2008
null
null
null
cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we extend a popular non-cooperative network creation game (NCG) to allow for disconnected equilibrium networks. There are n players, each is a vertex in a graph, and a strategy is a subset of players to build edges to. For each edge a player must pay a cost \alpha, and the individual cost for a player r...
[ { "created": "Wed, 28 May 2008 12:09:15 GMT", "version": "v1" }, { "created": "Mon, 27 Oct 2008 22:12:35 GMT", "version": "v2" } ]
2008-10-28
[ [ "Brandes", "Ulrik", "" ], [ "Hoefer", "Martin", "" ], [ "Nick", "Bobo", "" ] ]
In this paper we extend a popular non-cooperative network creation game (NCG) to allow for disconnected equilibrium networks. There are n players, each is a vertex in a graph, and a strategy is a subset of players to build edges to. For each edge a player must pay a cost \alpha, and the individual cost for a player rep...
1903.01905
Bernhard Kainz
Daniel Grzech, Lo\"ic le Folgoc, Mattias P. Heinrich, Bishesh Khanal, Jakub Moll, Julia A. Schnabel, Ben Glocker, Bernhard Kainz
FastReg: Fast Non-Rigid Registration via Accelerated Optimisation on the Manifold of Diffeomorphisms
There is an ongoing dispute about the presentation of this paper. It will be withdrawn until the dispute is resoved
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present an implementation of a new approach to diffeomorphic non-rigid registration of medical images. The method is based on optical flow and warps images via gradient flow with the standard $L^2$ inner product. To compute the transformation, we rely on accelerated optimisation on the manifold of diffeomorphisms....
[ { "created": "Tue, 5 Mar 2019 15:41:47 GMT", "version": "v1" }, { "created": "Tue, 23 Apr 2019 15:37:43 GMT", "version": "v2" }, { "created": "Wed, 24 Apr 2019 10:02:27 GMT", "version": "v3" } ]
2019-04-25
[ [ "Grzech", "Daniel", "" ], [ "Folgoc", "Loïc le", "" ], [ "Heinrich", "Mattias P.", "" ], [ "Khanal", "Bishesh", "" ], [ "Moll", "Jakub", "" ], [ "Schnabel", "Julia A.", "" ], [ "Glocker", "Ben", "" ], [...
We present an implementation of a new approach to diffeomorphic non-rigid registration of medical images. The method is based on optical flow and warps images via gradient flow with the standard $L^2$ inner product. To compute the transformation, we rely on accelerated optimisation on the manifold of diffeomorphisms. W...
2105.02318
Kishor Jothimurugan
Kishor Jothimurugan, Matthew Andrews, Jeongran Lee and Lorenzo Maggi
Learning Algorithms for Regenerative Stopping Problems with Applications to Shipping Consolidation in Logistics
null
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study regenerative stopping problems in which the system starts anew whenever the controller decides to stop and the long-term average cost is to be minimized. Traditional model-based solutions involve estimating the underlying process from data and computing strategies for the estimated model. In this paper, we c...
[ { "created": "Wed, 5 May 2021 20:45:46 GMT", "version": "v1" } ]
2021-05-07
[ [ "Jothimurugan", "Kishor", "" ], [ "Andrews", "Matthew", "" ], [ "Lee", "Jeongran", "" ], [ "Maggi", "Lorenzo", "" ] ]
We study regenerative stopping problems in which the system starts anew whenever the controller decides to stop and the long-term average cost is to be minimized. Traditional model-based solutions involve estimating the underlying process from data and computing strategies for the estimated model. In this paper, we com...
1410.8127
Ali Soltani Tehrani
Ali Soltani Tehrani, Jessica Chani, Thomas Eriksson, and Christian Fager
Investigation of Parameter Adaptation in RF Power Amplifier Behavioral Models
null
null
null
null
cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents an investigation into parameter adaptation in behavioral model--based digital predistortion for radio frequency power amplifiers. A novel measurement setup framework that emulates real--time adaptation in transmitters is developed that allows evaluation of different parameters, configurations and ...
[ { "created": "Wed, 29 Oct 2014 19:59:34 GMT", "version": "v1" } ]
2014-10-30
[ [ "Tehrani", "Ali Soltani", "" ], [ "Chani", "Jessica", "" ], [ "Eriksson", "Thomas", "" ], [ "Fager", "Christian", "" ] ]
This paper presents an investigation into parameter adaptation in behavioral model--based digital predistortion for radio frequency power amplifiers. A novel measurement setup framework that emulates real--time adaptation in transmitters is developed that allows evaluation of different parameters, configurations and ad...
2211.13577
Cheng Feng
Cheng Feng and Pingge Hu
Learning Invariant Rules from Data for Interpretable Anomaly Detection
null
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by-nc-sa/4.0/
In the research area of anomaly detection, novel and promising methods are frequently developed. However, most existing studies exclusively focus on the detection task only and ignore the interpretability of the underlying models as well as their detection results. Nevertheless, anomaly interpretation, which aims to ...
[ { "created": "Thu, 24 Nov 2022 13:03:20 GMT", "version": "v1" }, { "created": "Fri, 6 Jan 2023 03:51:28 GMT", "version": "v2" }, { "created": "Fri, 13 Jan 2023 03:57:35 GMT", "version": "v3" } ]
2023-01-16
[ [ "Feng", "Cheng", "" ], [ "Hu", "Pingge", "" ] ]
In the research area of anomaly detection, novel and promising methods are frequently developed. However, most existing studies exclusively focus on the detection task only and ignore the interpretability of the underlying models as well as their detection results. Nevertheless, anomaly interpretation, which aims to pr...
1709.05861
Narotam Singh
Narotam Singh (1), Nittin Singh (1), Abhinav Dhall (1) ((1) Indian Institute of Technology Ropar)
Continuous Multimodal Emotion Recognition Approach for AVEC 2017
4 pages, 3 figures, arXiv:1605.06778, arXiv:1512.03385
null
null
null
cs.CV cs.LG cs.MM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper reports the analysis of audio and visual features in predicting the continuous emotion dimensions under the seventh Audio/Visual Emotion Challenge (AVEC 2017), which was done as part of a B.Tech. 2nd year internship project. For visual features we used the HOG (Histogram of Gradients) features, Fisher enco...
[ { "created": "Mon, 18 Sep 2017 11:01:43 GMT", "version": "v1" }, { "created": "Tue, 24 Oct 2017 12:08:09 GMT", "version": "v2" } ]
2017-10-25
[ [ "Singh", "Narotam", "" ], [ "Singh", "Nittin", "" ], [ "Dhall", "Abhinav", "" ] ]
This paper reports the analysis of audio and visual features in predicting the continuous emotion dimensions under the seventh Audio/Visual Emotion Challenge (AVEC 2017), which was done as part of a B.Tech. 2nd year internship project. For visual features we used the HOG (Histogram of Gradients) features, Fisher encodi...
1908.10149
Michael Barz
Michael Barz and Daniel Sonntag
Incremental Improvement of a Question Answering System by Re-ranking Answer Candidates using Machine Learning
Accepted for oral presentation at tenth International Workshop on Spoken Dialogue Systems Technology (IWSDS) 2019
null
10.1007/978-981-15-9323-9_34
null
cs.LG cs.CL cs.IR stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We implement a method for re-ranking top-10 results of a state-of-the-art question answering (QA) system. The goal of our re-ranking approach is to improve the answer selection given the user question and the top-10 candidates. We focus on improving deployed QA systems that do not allow re-training or re-training com...
[ { "created": "Tue, 27 Aug 2019 11:54:23 GMT", "version": "v1" } ]
2021-06-17
[ [ "Barz", "Michael", "" ], [ "Sonntag", "Daniel", "" ] ]
We implement a method for re-ranking top-10 results of a state-of-the-art question answering (QA) system. The goal of our re-ranking approach is to improve the answer selection given the user question and the top-10 candidates. We focus on improving deployed QA systems that do not allow re-training or re-training comes...
2308.11373
Zesen Liu
Zesen Liu, Meng Guo, Weimin Bao and Zhongkui Li
Fast and Adaptive Multi-agent Planning under Collaborative Temporal Logic Tasks via Poset Products
16 pages, 9 figures
null
null
null
cs.RO
http://creativecommons.org/licenses/by-nc-nd/4.0/
Efficient coordination and planning is essential for large-scale multi-agent systems that collaborate in a shared dynamic environment. Heuristic search methods or learning-based approaches often lack the guarantee on correctness and performance. Moreover, when the collaborative tasks contain both spatial and temporal...
[ { "created": "Tue, 22 Aug 2023 11:56:15 GMT", "version": "v1" }, { "created": "Tue, 9 Apr 2024 14:01:16 GMT", "version": "v2" } ]
2024-04-10
[ [ "Liu", "Zesen", "" ], [ "Guo", "Meng", "" ], [ "Bao", "Weimin", "" ], [ "Li", "Zhongkui", "" ] ]
Efficient coordination and planning is essential for large-scale multi-agent systems that collaborate in a shared dynamic environment. Heuristic search methods or learning-based approaches often lack the guarantee on correctness and performance. Moreover, when the collaborative tasks contain both spatial and temporal r...
1005.0600
Manuel Kauers
Manuel Kauers and Veronika Pillwein
When can we decide that a P-finite sequence is positive?
null
null
null
null
cs.SC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider two algorithms which can be used for proving positivity of sequences that are defined by a linear recurrence equation with polynomial coefficients (P-finite sequences). Both algorithms have in common that while they do succeed on a great many examples, there is no guarantee for them to terminate, and they...
[ { "created": "Tue, 4 May 2010 18:24:19 GMT", "version": "v1" } ]
2010-05-05
[ [ "Kauers", "Manuel", "" ], [ "Pillwein", "Veronika", "" ] ]
We consider two algorithms which can be used for proving positivity of sequences that are defined by a linear recurrence equation with polynomial coefficients (P-finite sequences). Both algorithms have in common that while they do succeed on a great many examples, there is no guarantee for them to terminate, and they d...
1510.02395
Mohammed Gollapalli Dr.
Mohammed Gollapalli
Literature Review Of Attribute Level And Structure Level Data Linkage Techniques
20 pages
International Journal of Data Mining & Knowledge Management Process (IJDKP) Vol.5, No.5, September 2015
null
null
cs.DB
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Data Linkage is an important step that can provide valuable insights for evidence-based decision making, especially for crucial events. Performing sensible queries across heterogeneous databases containing millions of records is a complex task that requires a complete understanding of each contributing databases sche...
[ { "created": "Wed, 7 Oct 2015 12:38:24 GMT", "version": "v1" } ]
2015-10-09
[ [ "Gollapalli", "Mohammed", "" ] ]
Data Linkage is an important step that can provide valuable insights for evidence-based decision making, especially for crucial events. Performing sensible queries across heterogeneous databases containing millions of records is a complex task that requires a complete understanding of each contributing databases schema...
2205.08891
Jingqing Zhang
Jingqing Zhang, Atri Sharma, Luis Bolanos, Tong Li, Ashwani Tanwar, Vibhor Gupta, Yike Guo
A Scalable Workflow to Build Machine Learning Classifiers with Clinician-in-the-Loop to Identify Patients in Specific Diseases
Under review
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Clinicians may rely on medical coding systems such as International Classification of Diseases (ICD) to identify patients with diseases from Electronic Health Records (EHRs). However, due to the lack of detail and specificity as well as a probability of miscoding, recent studies suggest the ICD codes often cannot cha...
[ { "created": "Wed, 18 May 2022 12:24:07 GMT", "version": "v1" } ]
2022-05-19
[ [ "Zhang", "Jingqing", "" ], [ "Sharma", "Atri", "" ], [ "Bolanos", "Luis", "" ], [ "Li", "Tong", "" ], [ "Tanwar", "Ashwani", "" ], [ "Gupta", "Vibhor", "" ], [ "Guo", "Yike", "" ] ]
Clinicians may rely on medical coding systems such as International Classification of Diseases (ICD) to identify patients with diseases from Electronic Health Records (EHRs). However, due to the lack of detail and specificity as well as a probability of miscoding, recent studies suggest the ICD codes often cannot chara...
2405.19701
Lavanya Prahallad
Lavanya Prahallad, Radhika Mamidi
Significance of Chain of Thought in Gender Bias Mitigation for English-Dravidian Machine Translation
6 pages
null
null
null
cs.CL cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Gender bias in machine translation (MT) sys- tems poses a significant challenge to achieving accurate and inclusive translations. This paper examines gender bias in machine translation systems for languages such as Telugu and Kan- nada from the Dravidian family, analyzing how gender inflections affect translation acc...
[ { "created": "Thu, 30 May 2024 05:26:57 GMT", "version": "v1" }, { "created": "Mon, 3 Jun 2024 15:59:34 GMT", "version": "v2" } ]
2024-06-04
[ [ "Prahallad", "Lavanya", "" ], [ "Mamidi", "Radhika", "" ] ]
Gender bias in machine translation (MT) sys- tems poses a significant challenge to achieving accurate and inclusive translations. This paper examines gender bias in machine translation systems for languages such as Telugu and Kan- nada from the Dravidian family, analyzing how gender inflections affect translation accur...
1312.5912
Andrea Cal\`i PhD
Andrea Cal\`i and Riccardo Torlone
Containment of Schema Mappings for Data Exchange (Preliminary Report)
11 pages, no figures
null
null
null
cs.DB
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In data exchange, data are materialised from a source schema to a target schema, according to suitable source-to-target constraints. Constraints are also expressed on the target schema to represent the domain of interest. A schema mapping is the union of the source-to-target and of the target constraints. In this p...
[ { "created": "Fri, 20 Dec 2013 12:13:11 GMT", "version": "v1" }, { "created": "Tue, 31 Dec 2013 09:51:14 GMT", "version": "v2" } ]
2014-01-03
[ [ "Calì", "Andrea", "" ], [ "Torlone", "Riccardo", "" ] ]
In data exchange, data are materialised from a source schema to a target schema, according to suitable source-to-target constraints. Constraints are also expressed on the target schema to represent the domain of interest. A schema mapping is the union of the source-to-target and of the target constraints. In this paper...
1411.1607
Alan Edelman
Jeff Bezanson, Alan Edelman, Stefan Karpinski, Viral B. Shah
Julia: A Fresh Approach to Numerical Computing
37 pages
null
null
null
cs.MS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Bridging cultures that have often been distant, Julia combines expertise from the diverse fields of computer science and computational science to create a new approach to numerical computing. Julia is designed to be easy and fast. Julia questions notions generally held as "laws of nature" by practitioners of numerica...
[ { "created": "Thu, 6 Nov 2014 13:39:40 GMT", "version": "v1" }, { "created": "Fri, 7 Nov 2014 11:19:21 GMT", "version": "v2" }, { "created": "Fri, 12 Dec 2014 22:40:09 GMT", "version": "v3" }, { "created": "Sun, 19 Jul 2015 19:58:28 GMT", "version": "v4" } ]
2015-07-21
[ [ "Bezanson", "Jeff", "" ], [ "Edelman", "Alan", "" ], [ "Karpinski", "Stefan", "" ], [ "Shah", "Viral B.", "" ] ]
Bridging cultures that have often been distant, Julia combines expertise from the diverse fields of computer science and computational science to create a new approach to numerical computing. Julia is designed to be easy and fast. Julia questions notions generally held as "laws of nature" by practitioners of numerical ...
2208.06946
Fangyi Yu
Fangyi Yu and Miguel Vargas Martin
Targeted Honeyword Generation with Language Models
8 pages, 7 tables, 2 figures
null
null
null
cs.AI cs.CR
http://creativecommons.org/licenses/by/4.0/
Honeywords are fictitious passwords inserted into databases in order to identify password breaches. The major difficulty is how to produce honeywords that are difficult to distinguish from real passwords. Although the generation of honeywords has been widely investigated in the past, the majority of existing research...
[ { "created": "Mon, 15 Aug 2022 00:06:29 GMT", "version": "v1" }, { "created": "Tue, 23 Aug 2022 16:12:27 GMT", "version": "v2" } ]
2022-08-24
[ [ "Yu", "Fangyi", "" ], [ "Martin", "Miguel Vargas", "" ] ]
Honeywords are fictitious passwords inserted into databases in order to identify password breaches. The major difficulty is how to produce honeywords that are difficult to distinguish from real passwords. Although the generation of honeywords has been widely investigated in the past, the majority of existing research a...
1903.02255
Peter Boyvalenkov
Peter Boyvalenkov, Danyo Danev
Linear Programming Bounds
22 pages
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This chapter is written for the forthcoming book "A Concise Encyclopedia of Coding Theory" (CRC press), edited by W. Cary Huffman, Jon-Lark Kim, and Patrick Sol\'e. This book will collect short but foundational articles, emphasizing definitions, examples, exhaustive references, and basic facts. The target audience of...
[ { "created": "Wed, 6 Mar 2019 09:16:13 GMT", "version": "v1" } ]
2019-03-07
[ [ "Boyvalenkov", "Peter", "" ], [ "Danev", "Danyo", "" ] ]
This chapter is written for the forthcoming book "A Concise Encyclopedia of Coding Theory" (CRC press), edited by W. Cary Huffman, Jon-Lark Kim, and Patrick Sol\'e. This book will collect short but foundational articles, emphasizing definitions, examples, exhaustive references, and basic facts. The target audience of t...
2203.16952
Swalpa Kumar Roy Dr.
Swalpa Kumar Roy, Ankur Deria, Danfeng Hong, Behnood Rasti, Antonio Plaza, Jocelyn Chanussot
Multimodal Fusion Transformer for Remote Sensing Image Classification
Published in IEEE Transactions on Geoscience and Remote Sensing
null
10.1109/TGRS.2023.3286826
null
cs.CV cs.LG eess.IV
http://creativecommons.org/licenses/by/4.0/
Vision transformers (ViTs) have been trending in image classification tasks due to their promising performance when compared to convolutional neural networks (CNNs). As a result, many researchers have tried to incorporate ViTs in hyperspectral image (HSI) classification tasks. To achieve satisfactory performance, clo...
[ { "created": "Thu, 31 Mar 2022 11:18:41 GMT", "version": "v1" }, { "created": "Tue, 20 Jun 2023 17:58:25 GMT", "version": "v2" } ]
2023-06-21
[ [ "Roy", "Swalpa Kumar", "" ], [ "Deria", "Ankur", "" ], [ "Hong", "Danfeng", "" ], [ "Rasti", "Behnood", "" ], [ "Plaza", "Antonio", "" ], [ "Chanussot", "Jocelyn", "" ] ]
Vision transformers (ViTs) have been trending in image classification tasks due to their promising performance when compared to convolutional neural networks (CNNs). As a result, many researchers have tried to incorporate ViTs in hyperspectral image (HSI) classification tasks. To achieve satisfactory performance, close...
cs/0701118
Mohammad Ali Maddah-Ali Mr.
Mohammad Ali Maddah-Ali, Hajar Mahdavi-Doost, and Amir K. Khandani
Optimal Order of Decoding for Max-Min Fairness in $K$-User Memoryless Interference Channels
11 Pages, Submitted to IEEE International Symposium on Information Theory(ISIT 2007)
null
10.1109/ISIT.2007.4557653
null
cs.IT math.IT
null
A $K$-user memoryless interference channel is considered where each receiver sequentially decodes the data of a subset of transmitters before it decodes the data of the designated transmitter. Therefore, the data rate of each transmitter depends on (i) the subset of receivers which decode the data of that transmitter...
[ { "created": "Thu, 18 Jan 2007 20:54:03 GMT", "version": "v1" } ]
2016-11-15
[ [ "Maddah-Ali", "Mohammad Ali", "" ], [ "Mahdavi-Doost", "Hajar", "" ], [ "Khandani", "Amir K.", "" ] ]
A $K$-user memoryless interference channel is considered where each receiver sequentially decodes the data of a subset of transmitters before it decodes the data of the designated transmitter. Therefore, the data rate of each transmitter depends on (i) the subset of receivers which decode the data of that transmitter, ...
2201.04205
Waleed Yousef
Waleed A.Yousef, Hisham E. Mohammed, Andrew A. Naguib, Rafat S. Eid, Sherif E. Emabrak, Ahmed F. Hamed, Yusuf M. Khalifa, Shrouk T. AbdElrheem, Eman A. Awad, Sara G. Gaafar, Alaa M. Mamdoh, Nada A. Shawky
JSOL: JavaScript Open-source Library for Grammar of Graphics
null
null
null
null
cs.GR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we introduce the JavaScript Open-source Library (\libname), a high-level grammar for representing data in visualization graphs and plots. \libname~perspective on the grammar of graphics is unique; it provides state-of-art rules for encoding visual primitives that can be used to generate a known scene o...
[ { "created": "Tue, 11 Jan 2022 21:23:23 GMT", "version": "v1" } ]
2022-01-13
[ [ "Yousef", "Waleed A.", "" ], [ "Mohammed", "Hisham E.", "" ], [ "Naguib", "Andrew A.", "" ], [ "Eid", "Rafat S.", "" ], [ "Emabrak", "Sherif E.", "" ], [ "Hamed", "Ahmed F.", "" ], [ "Khalifa", "Yusuf M.", ...
In this paper, we introduce the JavaScript Open-source Library (\libname), a high-level grammar for representing data in visualization graphs and plots. \libname~perspective on the grammar of graphics is unique; it provides state-of-art rules for encoding visual primitives that can be used to generate a known scene or ...
1912.11855
Aditi Sharma
Aditi Sharma, Ravi Ranjan
Software Effort Estimation using Neuro Fuzzy Inference System: Past and Present
null
International Journal on Recent and Innovation Trends in Computing and Communication ISSN: 2321-8169 2017
null
null
cs.SE cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Most important reason for project failure is poor effort estimation. Software development effort estimation is needed for assigning appropriate team members for development, allocating resources for software development, binding etc. Inaccurate software estimation may lead to delay in project, over-budget or cancella...
[ { "created": "Thu, 26 Dec 2019 12:55:38 GMT", "version": "v1" } ]
2019-12-30
[ [ "Sharma", "Aditi", "" ], [ "Ranjan", "Ravi", "" ] ]
Most important reason for project failure is poor effort estimation. Software development effort estimation is needed for assigning appropriate team members for development, allocating resources for software development, binding etc. Inaccurate software estimation may lead to delay in project, over-budget or cancellati...
2012.04580
James Jordon
James Jordon, Alan Wilson and Mihaela van der Schaar
Synthetic Data: Opening the data floodgates to enable faster, more directed development of machine learning methods
null
null
null
null
cs.LG cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Many ground-breaking advancements in machine learning can be attributed to the availability of a large volume of rich data. Unfortunately, many large-scale datasets are highly sensitive, such as healthcare data, and are not widely available to the machine learning community. Generating synthetic data with privacy gua...
[ { "created": "Tue, 8 Dec 2020 17:26:10 GMT", "version": "v1" } ]
2020-12-09
[ [ "Jordon", "James", "" ], [ "Wilson", "Alan", "" ], [ "van der Schaar", "Mihaela", "" ] ]
Many ground-breaking advancements in machine learning can be attributed to the availability of a large volume of rich data. Unfortunately, many large-scale datasets are highly sensitive, such as healthcare data, and are not widely available to the machine learning community. Generating synthetic data with privacy guara...
1910.08888
Carlo Zaniolo
Carlo Zaniolo, Ariyam Das, Jiaqi Gu, Youfu Li, Mingda li, Jin Wang
Monotonic Properties of Completed Aggregates in Recursive Queries
null
null
null
null
cs.DB
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The use of aggregates in recursion enables efficient and scalable support for a wide range of BigData algorithms, including those used in graph applications, KDD applications, and ML applications, which have proven difficult to be expressed and supported efficiently in BigData systems supporting Datalog or SQL. The p...
[ { "created": "Sun, 20 Oct 2019 03:52:40 GMT", "version": "v1" } ]
2019-10-22
[ [ "Zaniolo", "Carlo", "" ], [ "Das", "Ariyam", "" ], [ "Gu", "Jiaqi", "" ], [ "Li", "Youfu", "" ], [ "li", "Mingda", "" ], [ "Wang", "Jin", "" ] ]
The use of aggregates in recursion enables efficient and scalable support for a wide range of BigData algorithms, including those used in graph applications, KDD applications, and ML applications, which have proven difficult to be expressed and supported efficiently in BigData systems supporting Datalog or SQL. The pro...
2407.15865
Craig Pirie
Craig Pirie, Harsha Kalutarage, Muhammad Shadi Hajar, Nirmalie Wiratunga, Subodha Charles, Geeth Sandaru Madhushan, Priyantha Buddhika, Supun Wijesiriwardana, Akila Dimantha, Kithdara Hansamal, Shalitha Pathiranage
A Survey of AI-Powered Mini-Grid Solutions for a Sustainable Future in Rural Communities
null
null
null
null
cs.LG cs.AI cs.CE
http://creativecommons.org/licenses/by/4.0/
This paper presents a comprehensive survey of AI-driven mini-grid solutions aimed at enhancing sustainable energy access. It emphasises the potential of mini-grids, which can operate independently or in conjunction with national power grids, to provide reliable and affordable electricity to remote communities. Given ...
[ { "created": "Wed, 17 Jul 2024 20:23:38 GMT", "version": "v1" } ]
2024-07-24
[ [ "Pirie", "Craig", "" ], [ "Kalutarage", "Harsha", "" ], [ "Hajar", "Muhammad Shadi", "" ], [ "Wiratunga", "Nirmalie", "" ], [ "Charles", "Subodha", "" ], [ "Madhushan", "Geeth Sandaru", "" ], [ "Buddhika", "Pri...
This paper presents a comprehensive survey of AI-driven mini-grid solutions aimed at enhancing sustainable energy access. It emphasises the potential of mini-grids, which can operate independently or in conjunction with national power grids, to provide reliable and affordable electricity to remote communities. Given th...
2304.12152
Haitian Jiang
Haitian Jiang, Dongliang Xiong, Xiaowen Jiang, Li Ding, Liang Chen, Kai Huang
Efficient Halftoning via Deep Reinforcement Learning
null
IEEE Transactions on Image Processing (TIP), 2023
10.1109/TIP.2023.3318937
null
cs.CV cs.GR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Halftoning aims to reproduce a continuous-tone image with pixels whose intensities are constrained to two discrete levels. This technique has been deployed on every printer, and the majority of them adopt fast methods (e.g., ordered dithering, error diffusion) that fail to render structural details, which determine h...
[ { "created": "Mon, 24 Apr 2023 15:03:37 GMT", "version": "v1" }, { "created": "Fri, 13 Oct 2023 03:40:42 GMT", "version": "v2" } ]
2023-10-16
[ [ "Jiang", "Haitian", "" ], [ "Xiong", "Dongliang", "" ], [ "Jiang", "Xiaowen", "" ], [ "Ding", "Li", "" ], [ "Chen", "Liang", "" ], [ "Huang", "Kai", "" ] ]
Halftoning aims to reproduce a continuous-tone image with pixels whose intensities are constrained to two discrete levels. This technique has been deployed on every printer, and the majority of them adopt fast methods (e.g., ordered dithering, error diffusion) that fail to render structural details, which determine hal...
2011.14058
Wei He
Zhongzhan Huang, Senwei Liang, Mingfu Liang, Wei He, Haizhao Yang
Efficient Attention Network: Accelerate Attention by Searching Where to Plug
null
null
null
null
cs.CV cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recently, many plug-and-play self-attention modules are proposed to enhance the model generalization by exploiting the internal information of deep convolutional neural networks (CNNs). Previous works lay an emphasis on the design of attention module for specific functionality, e.g., light-weighted or task-oriented a...
[ { "created": "Sat, 28 Nov 2020 03:31:08 GMT", "version": "v1" }, { "created": "Sun, 11 Jul 2021 12:44:58 GMT", "version": "v2" } ]
2021-07-13
[ [ "Huang", "Zhongzhan", "" ], [ "Liang", "Senwei", "" ], [ "Liang", "Mingfu", "" ], [ "He", "Wei", "" ], [ "Yang", "Haizhao", "" ] ]
Recently, many plug-and-play self-attention modules are proposed to enhance the model generalization by exploiting the internal information of deep convolutional neural networks (CNNs). Previous works lay an emphasis on the design of attention module for specific functionality, e.g., light-weighted or task-oriented att...
2307.12517
Pourya Shamsolmoali
Pourya Shamsolmoali, Masoumeh Zareapoor
Entropy Transformer Networks: A Learning Approach via Tangent Bundle Data Manifold
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
This paper focuses on an accurate and fast interpolation approach for image transformation employed in the design of CNN architectures. Standard Spatial Transformer Networks (STNs) use bilinear or linear interpolation as their interpolation, with unrealistic assumptions about the underlying data distributions, which ...
[ { "created": "Mon, 24 Jul 2023 04:21:51 GMT", "version": "v1" } ]
2023-07-25
[ [ "Shamsolmoali", "Pourya", "" ], [ "Zareapoor", "Masoumeh", "" ] ]
This paper focuses on an accurate and fast interpolation approach for image transformation employed in the design of CNN architectures. Standard Spatial Transformer Networks (STNs) use bilinear or linear interpolation as their interpolation, with unrealistic assumptions about the underlying data distributions, which le...
1605.04359
Aman Madaan
Aman Madaan, Sunita Sarawagi
Occurrence Statistics of Entities, Relations and Types on the Web
null
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The problem of collecting reliable estimates of occurrence of entities on the open web forms the premise for this report. The models learned for tagging entities cannot be expected to perform well when deployed on the web. This is owing to the severe mismatch in the distributions of such entities on the web and in th...
[ { "created": "Sat, 14 May 2016 01:13:48 GMT", "version": "v1" } ]
2016-05-17
[ [ "Madaan", "Aman", "" ], [ "Sarawagi", "Sunita", "" ] ]
The problem of collecting reliable estimates of occurrence of entities on the open web forms the premise for this report. The models learned for tagging entities cannot be expected to perform well when deployed on the web. This is owing to the severe mismatch in the distributions of such entities on the web and in the ...
2002.04711
Said Hanafi
Fred Glover, Said Hanafi, and Gintaras Palubeckis
Bi-objective Optimization of Biclustering with Binary Data
37 pages
null
null
null
cs.AI cs.DM math.CO math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Clustering consists of partitioning data objects into subsets called clusters according to some similarity criteria. This paper addresses a generalization called quasi-clustering that allows overlapping of clusters, and which we link to biclustering. Biclustering simultaneously groups the objects and features so that...
[ { "created": "Sun, 9 Feb 2020 21:49:26 GMT", "version": "v1" } ]
2020-02-13
[ [ "Glover", "Fred", "" ], [ "Hanafi", "Said", "" ], [ "Palubeckis", "Gintaras", "" ] ]
Clustering consists of partitioning data objects into subsets called clusters according to some similarity criteria. This paper addresses a generalization called quasi-clustering that allows overlapping of clusters, and which we link to biclustering. Biclustering simultaneously groups the objects and features so that a...
2108.02694
Liming Xu
Liming Xu, Dave Towey, Andrew French, Steve Benford, Zhi Quan Zhou and Tsong Yueh Chen
Using Metamorphic Relations to Verify and Enhance Artcode Classification
32 pages, 11 figures
null
null
null
cs.SE cs.LG
http://creativecommons.org/licenses/by/4.0/
Software testing is often hindered where it is impossible or impractical to determine the correctness of the behaviour or output of the software under test (SUT), a situation known as the oracle problem. An example of an area facing the oracle problem is automatic image classification, using machine learning to class...
[ { "created": "Thu, 5 Aug 2021 15:54:56 GMT", "version": "v1" } ]
2021-08-06
[ [ "Xu", "Liming", "" ], [ "Towey", "Dave", "" ], [ "French", "Andrew", "" ], [ "Benford", "Steve", "" ], [ "Zhou", "Zhi Quan", "" ], [ "Chen", "Tsong Yueh", "" ] ]
Software testing is often hindered where it is impossible or impractical to determine the correctness of the behaviour or output of the software under test (SUT), a situation known as the oracle problem. An example of an area facing the oracle problem is automatic image classification, using machine learning to classif...
2305.10110
Wenzhao Zhao
Wenzhao Zhao, Barbara D. Wichtmann, Steffen Albert, Angelika Maurer, Frank G. Z\"ollner, Ulrike Attenberger and J\"urgen Hesser
Adaptive aggregation of Monte Carlo augmented decomposed filters for efficient group-equivariant convolutional neural network
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Group-equivariant convolutional neural networks (G-CNN) heavily rely on parameter sharing to increase CNN's data efficiency and performance. However, the parameter-sharing strategy greatly increases the computational burden for each added parameter, which hampers its application to deep neural network models. In this...
[ { "created": "Wed, 17 May 2023 10:18:02 GMT", "version": "v1" }, { "created": "Sun, 4 Feb 2024 22:22:29 GMT", "version": "v2" }, { "created": "Wed, 1 May 2024 21:54:24 GMT", "version": "v3" } ]
2024-05-03
[ [ "Zhao", "Wenzhao", "" ], [ "Wichtmann", "Barbara D.", "" ], [ "Albert", "Steffen", "" ], [ "Maurer", "Angelika", "" ], [ "Zöllner", "Frank G.", "" ], [ "Attenberger", "Ulrike", "" ], [ "Hesser", "Jürgen", "...
Group-equivariant convolutional neural networks (G-CNN) heavily rely on parameter sharing to increase CNN's data efficiency and performance. However, the parameter-sharing strategy greatly increases the computational burden for each added parameter, which hampers its application to deep neural network models. In this p...
2004.10878
Sujit Bhattacharya Professor
Sujit Bhattacharya and Shubham Singh
Visible Insights of the Invisible Pandemic: A Scientometric, Altmetric and Topic Trend Analysis
21 pages, 4 Figures and 4 tables
null
null
null
cs.DL cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The recent SARS-COV-2 virus outbreak has created an unprecedented global health crisis! The disease is showing alarming trends with the number of people getting infected with this disease, new cases and death rate are all highlighting the need to control this disease at the earliest. The strategy now for the governme...
[ { "created": "Wed, 22 Apr 2020 21:53:15 GMT", "version": "v1" } ]
2020-04-24
[ [ "Bhattacharya", "Sujit", "" ], [ "Singh", "Shubham", "" ] ]
The recent SARS-COV-2 virus outbreak has created an unprecedented global health crisis! The disease is showing alarming trends with the number of people getting infected with this disease, new cases and death rate are all highlighting the need to control this disease at the earliest. The strategy now for the government...
2111.06334
Sarthak Khanal
Sarthak Khanal, Maria Traskowsky, Doina Caragea
Identification of Fine-Grained Location Mentions in Crisis Tweets
null
null
null
null
cs.CL cs.LG
http://creativecommons.org/licenses/by/4.0/
Identification of fine-grained location mentions in crisis tweets is central in transforming situational awareness information extracted from social media into actionable information. Most prior works have focused on identifying generic locations, without considering their specific types. To facilitate progress on th...
[ { "created": "Thu, 11 Nov 2021 17:48:03 GMT", "version": "v1" } ]
2021-11-12
[ [ "Khanal", "Sarthak", "" ], [ "Traskowsky", "Maria", "" ], [ "Caragea", "Doina", "" ] ]
Identification of fine-grained location mentions in crisis tweets is central in transforming situational awareness information extracted from social media into actionable information. Most prior works have focused on identifying generic locations, without considering their specific types. To facilitate progress on the ...
cs/0407036
David Eppstein
David Eppstein
All Maximal Independent Sets and Dynamic Dominance for Sparse Graphs
10 pages
ACM Trans. Algorithms 5(4):A38, 2009
10.1145/1597036.1597042
null
cs.DS
null
We describe algorithms, based on Avis and Fukuda's reverse search paradigm, for listing all maximal independent sets in a sparse graph in polynomial time and delay per output. For bounded degree graphs, our algorithms take constant time per set generated; for minor-closed graph families, the time is O(n) per set, and...
[ { "created": "Thu, 15 Jul 2004 21:04:45 GMT", "version": "v1" } ]
2010-01-11
[ [ "Eppstein", "David", "" ] ]
We describe algorithms, based on Avis and Fukuda's reverse search paradigm, for listing all maximal independent sets in a sparse graph in polynomial time and delay per output. For bounded degree graphs, our algorithms take constant time per set generated; for minor-closed graph families, the time is O(n) per set, and f...
2104.11298
Siddhartha Jayanti
Siddhartha Jayanti
Nash Equilibria of The Multiplayer Colonel Blotto Game on Arbitrary Measure Spaces
19 pages
null
null
null
cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The Colonel Blotto Problem proposed by Borel in 1921 has served as a widely applicable model of budget-constrained simultaneous winner-take-all competitions in the social sciences. Applications include elections, advertising, R&D and more. However, the classic Blotto problem and variants limit the study to competitio...
[ { "created": "Thu, 22 Apr 2021 19:52:47 GMT", "version": "v1" } ]
2021-04-26
[ [ "Jayanti", "Siddhartha", "" ] ]
The Colonel Blotto Problem proposed by Borel in 1921 has served as a widely applicable model of budget-constrained simultaneous winner-take-all competitions in the social sciences. Applications include elections, advertising, R&D and more. However, the classic Blotto problem and variants limit the study to competitions...
2212.14129
Bryan Ford
Bryan Ford
Matchertext: Towards Verbatim Interlanguage Embedding
23 pages, 4 figures, 2 tables
null
null
null
cs.PL
http://creativecommons.org/licenses/by/4.0/
Embedding text in one language within text of another is commonplace for numerous purposes, but usually requires tedious and error-prone "escaping" transformations on the embedded string. We propose a simple cross-language syntactic discipline, matchertext, which enables the safe embedding a string in any compliant l...
[ { "created": "Thu, 29 Dec 2022 00:10:31 GMT", "version": "v1" } ]
2023-01-02
[ [ "Ford", "Bryan", "" ] ]
Embedding text in one language within text of another is commonplace for numerous purposes, but usually requires tedious and error-prone "escaping" transformations on the embedded string. We propose a simple cross-language syntactic discipline, matchertext, which enables the safe embedding a string in any compliant lan...
2311.04076
Lindia Tjuatja
Lindia Tjuatja, Valerie Chen, Sherry Tongshuang Wu, Ameet Talwalkar, Graham Neubig
Do LLMs exhibit human-like response biases? A case study in survey design
null
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
As large language models (LLMs) become more capable, there is growing excitement about the possibility of using LLMs as proxies for humans in real-world tasks where subjective labels are desired, such as in surveys and opinion polling. One widely-cited barrier to the adoption of LLMs as proxies for humans in subjecti...
[ { "created": "Tue, 7 Nov 2023 15:40:43 GMT", "version": "v1" }, { "created": "Wed, 29 Nov 2023 22:00:12 GMT", "version": "v2" }, { "created": "Mon, 15 Jan 2024 17:52:31 GMT", "version": "v3" }, { "created": "Mon, 5 Feb 2024 15:12:06 GMT", "version": "v4" }, { "cre...
2024-02-07
[ [ "Tjuatja", "Lindia", "" ], [ "Chen", "Valerie", "" ], [ "Wu", "Sherry Tongshuang", "" ], [ "Talwalkar", "Ameet", "" ], [ "Neubig", "Graham", "" ] ]
As large language models (LLMs) become more capable, there is growing excitement about the possibility of using LLMs as proxies for humans in real-world tasks where subjective labels are desired, such as in surveys and opinion polling. One widely-cited barrier to the adoption of LLMs as proxies for humans in subjective...
cs/0606057
Fredrik Kuivinen
Fredrik Kuivinen
Approximability of Bounded Occurrence Max Ones
Accepted to MFCS 2006
null
null
null
cs.CC
null
We study the approximability of Max Ones when the number of variable occurrences is bounded by a constant. For conservative constraint languages (i.e., when the unary relations are included) we give a complete classification when the number of occurrences is three or more and a partial classification when the bound i...
[ { "created": "Tue, 13 Jun 2006 06:44:21 GMT", "version": "v1" } ]
2007-05-23
[ [ "Kuivinen", "Fredrik", "" ] ]
We study the approximability of Max Ones when the number of variable occurrences is bounded by a constant. For conservative constraint languages (i.e., when the unary relations are included) we give a complete classification when the number of occurrences is three or more and a partial classification when the bound is ...
2103.11528
Son T. Luu
Son T. Luu, Kiet Van Nguyen and Ngan Luu-Thuy Nguyen
A Large-scale Dataset for Hate Speech Detection on Vietnamese Social Media Texts
IEA/AIE 2021: Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices, pp 415-426
null
10.1007/978-3-030-79457-6_35
null
cs.CL
http://creativecommons.org/licenses/by-nc-nd/4.0/
In recent years, Vietnam witnesses the mass development of social network users on different social platforms such as Facebook, Youtube, Instagram, and Tiktok. On social medias, hate speech has become a critical problem for social network users. To solve this problem, we introduce the ViHSD - a human-annotated datase...
[ { "created": "Mon, 22 Mar 2021 00:55:47 GMT", "version": "v1" }, { "created": "Mon, 29 Mar 2021 02:46:47 GMT", "version": "v2" }, { "created": "Mon, 5 Apr 2021 09:29:18 GMT", "version": "v3" }, { "created": "Tue, 20 Jul 2021 06:22:08 GMT", "version": "v4" } ]
2021-07-21
[ [ "Luu", "Son T.", "" ], [ "Van Nguyen", "Kiet", "" ], [ "Nguyen", "Ngan Luu-Thuy", "" ] ]
In recent years, Vietnam witnesses the mass development of social network users on different social platforms such as Facebook, Youtube, Instagram, and Tiktok. On social medias, hate speech has become a critical problem for social network users. To solve this problem, we introduce the ViHSD - a human-annotated dataset ...
2210.05391
Ruoyu Guo
Chenxia Li, Ruoyu Guo, Jun Zhou, Mengtao An, Yuning Du, Lingfeng Zhu, Yi Liu, Xiaoguang Hu, Dianhai Yu
PP-StructureV2: A Stronger Document Analysis System
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A large amount of document data exists in unstructured form such as raw images without any text information. Designing a practical document image analysis system is a meaningful but challenging task. In previous work, we proposed an intelligent document analysis system PP-Structure. In order to further upgrade the fu...
[ { "created": "Tue, 11 Oct 2022 12:07:32 GMT", "version": "v1" }, { "created": "Thu, 13 Oct 2022 07:11:59 GMT", "version": "v2" } ]
2022-10-14
[ [ "Li", "Chenxia", "" ], [ "Guo", "Ruoyu", "" ], [ "Zhou", "Jun", "" ], [ "An", "Mengtao", "" ], [ "Du", "Yuning", "" ], [ "Zhu", "Lingfeng", "" ], [ "Liu", "Yi", "" ], [ "Hu", "Xiaoguang", ""...
A large amount of document data exists in unstructured form such as raw images without any text information. Designing a practical document image analysis system is a meaningful but challenging task. In previous work, we proposed an intelligent document analysis system PP-Structure. In order to further upgrade the func...
1912.11576
Sheng Zhou
Yining Xu, Sheng Zhou
On the Coverage and Capacity of Ultra-Dense Networks with Directional Transmissions
5 pages, 4 figures, accepted by IEEE Wireless Commuincations Letters
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We investigate the performance of a downlink ultra-dense network (UDN) with directional transmissions via stochastic geometry. Considering the dual-slope path loss model and sectored beamforming pattern, we derive the expressions and asymptotic characteristics of the coverage probability and constrained area spectrum...
[ { "created": "Wed, 25 Dec 2019 01:59:04 GMT", "version": "v1" } ]
2019-12-30
[ [ "Xu", "Yining", "" ], [ "Zhou", "Sheng", "" ] ]
We investigate the performance of a downlink ultra-dense network (UDN) with directional transmissions via stochastic geometry. Considering the dual-slope path loss model and sectored beamforming pattern, we derive the expressions and asymptotic characteristics of the coverage probability and constrained area spectrum e...
1203.1754
Marek Cygan
Marek Cygan and Marcin Pilipczuk and Micha{\l} Pilipczuk
Known algorithms for EDGE CLIQUE COVER are probably optimal
To appear in SODA 2013
null
null
null
cs.DS cs.CC cs.DM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the EDGE CLIQUE COVER (ECC) problem, given a graph G and an integer k, we ask whether the edges of G can be covered with k complete subgraphs of G or, equivalently, whether G admits an intersection model on k-element universe. Gramm et al. [JEA 2008] have shown a set of simple rules that reduce the number of verti...
[ { "created": "Thu, 8 Mar 2012 11:19:09 GMT", "version": "v1" }, { "created": "Wed, 26 Sep 2012 08:51:46 GMT", "version": "v2" } ]
2012-09-27
[ [ "Cygan", "Marek", "" ], [ "Pilipczuk", "Marcin", "" ], [ "Pilipczuk", "Michał", "" ] ]
In the EDGE CLIQUE COVER (ECC) problem, given a graph G and an integer k, we ask whether the edges of G can be covered with k complete subgraphs of G or, equivalently, whether G admits an intersection model on k-element universe. Gramm et al. [JEA 2008] have shown a set of simple rules that reduce the number of vertice...
2304.07493
Cong Guo
Cong Guo, Jiaming Tang, Weiming Hu, Jingwen Leng, Chen Zhang, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu
OliVe: Accelerating Large Language Models via Hardware-friendly Outlier-Victim Pair Quantization
ISCA 2023
null
10.1145/3579371.3589038
null
cs.AR
http://creativecommons.org/licenses/by/4.0/
Transformer-based large language models (LLMs) have achieved great success with the growing model size. LLMs' size grows by $240\times$ every two years, which outpaces the hardware progress and makes model inference increasingly costly. Model quantization is a promising approach to mitigate the widening gap between L...
[ { "created": "Sat, 15 Apr 2023 07:12:05 GMT", "version": "v1" } ]
2023-04-18
[ [ "Guo", "Cong", "" ], [ "Tang", "Jiaming", "" ], [ "Hu", "Weiming", "" ], [ "Leng", "Jingwen", "" ], [ "Zhang", "Chen", "" ], [ "Yang", "Fan", "" ], [ "Liu", "Yunxin", "" ], [ "Guo", "Minyi", ...
Transformer-based large language models (LLMs) have achieved great success with the growing model size. LLMs' size grows by $240\times$ every two years, which outpaces the hardware progress and makes model inference increasingly costly. Model quantization is a promising approach to mitigate the widening gap between LLM...
2405.07946
Qiang Zou
Yaonaiming Zhao, Qiang Zou, Guoyue Luo, Jiayu Wu, Sifan Chen, Depeng Gao, Minghao Xuan, Fuyu Wang
TPMS2STEP: error-controlled and C2 continuity-preserving translation of TPMS models to STEP files based on constrained-PIA
null
null
null
null
cs.CG
http://creativecommons.org/publicdomain/zero/1.0/
Triply periodic minimal surface (TPMS) is emerging as an important way of designing microstructures. However, there has been limited use of commercial CAD/CAM/CAE software packages for TPMS design and manufacturing. This is mainly because TPMS is consistently described in the functional representation (F-rep) format,...
[ { "created": "Mon, 13 May 2024 17:22:44 GMT", "version": "v1" }, { "created": "Fri, 24 May 2024 02:36:26 GMT", "version": "v2" } ]
2024-05-27
[ [ "Zhao", "Yaonaiming", "" ], [ "Zou", "Qiang", "" ], [ "Luo", "Guoyue", "" ], [ "Wu", "Jiayu", "" ], [ "Chen", "Sifan", "" ], [ "Gao", "Depeng", "" ], [ "Xuan", "Minghao", "" ], [ "Wang", "Fuyu",...
Triply periodic minimal surface (TPMS) is emerging as an important way of designing microstructures. However, there has been limited use of commercial CAD/CAM/CAE software packages for TPMS design and manufacturing. This is mainly because TPMS is consistently described in the functional representation (F-rep) format, w...
2210.01400
Rui Yuan
Rui Yuan, Simon S. Du, Robert M. Gower, Alessandro Lazaric, Lin Xiao
Linear Convergence of Natural Policy Gradient Methods with Log-Linear Policies
This version adds a table of comparison for the literature review. The paper is published as a conference paper at ICLR 2023
null
null
null
cs.LG cs.AI math.OC
http://creativecommons.org/licenses/by-nc-nd/4.0/
We consider infinite-horizon discounted Markov decision processes and study the convergence rates of the natural policy gradient (NPG) and the Q-NPG methods with the log-linear policy class. Using the compatible function approximation framework, both methods with log-linear policies can be written as inexact versions...
[ { "created": "Tue, 4 Oct 2022 06:17:52 GMT", "version": "v1" }, { "created": "Mon, 21 Nov 2022 12:58:36 GMT", "version": "v2" }, { "created": "Tue, 21 Feb 2023 14:48:00 GMT", "version": "v3" } ]
2023-02-22
[ [ "Yuan", "Rui", "" ], [ "Du", "Simon S.", "" ], [ "Gower", "Robert M.", "" ], [ "Lazaric", "Alessandro", "" ], [ "Xiao", "Lin", "" ] ]
We consider infinite-horizon discounted Markov decision processes and study the convergence rates of the natural policy gradient (NPG) and the Q-NPG methods with the log-linear policy class. Using the compatible function approximation framework, both methods with log-linear policies can be written as inexact versions o...
2110.05305
Pascal Koiran
Pascal Koiran and Subhayan Saha
Black Box Absolute Reconstruction for Sums of Powers of Linear Forms
null
null
null
null
cs.CC cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the decomposition of multivariate polynomials as sums of powers of linear forms. We give a randomized algorithm for the following problem: If a homogeneous polynomial $f \in K[x_1 , . . . , x_n]$ (where $K \subseteq \mathbb{C}$) of degree $d$ is given as a blackbox, decide whether it can be written as a line...
[ { "created": "Mon, 11 Oct 2021 14:25:24 GMT", "version": "v1" } ]
2021-10-12
[ [ "Koiran", "Pascal", "" ], [ "Saha", "Subhayan", "" ] ]
We study the decomposition of multivariate polynomials as sums of powers of linear forms. We give a randomized algorithm for the following problem: If a homogeneous polynomial $f \in K[x_1 , . . . , x_n]$ (where $K \subseteq \mathbb{C}$) of degree $d$ is given as a blackbox, decide whether it can be written as a linear...
2302.09813
Juexiao Zhou
Juexiao Zhou, Haoyang Li, Xingyu Liao, Bin Zhang, Wenjia He, Zhongxiao Li, Longxi Zhou, Xin Gao
Audit to Forget: A Unified Method to Revoke Patients' Private Data in Intelligent Healthcare
null
null
10.1038/s41467-023-41703-x
null
cs.LG cs.CR
http://creativecommons.org/licenses/by-nc-nd/4.0/
Revoking personal private data is one of the basic human rights, which has already been sheltered by several privacy-preserving laws in many countries. However, with the development of data science, machine learning and deep learning techniques, this right is usually neglected or violated as more and more patients' d...
[ { "created": "Mon, 20 Feb 2023 07:29:22 GMT", "version": "v1" } ]
2024-01-12
[ [ "Zhou", "Juexiao", "" ], [ "Li", "Haoyang", "" ], [ "Liao", "Xingyu", "" ], [ "Zhang", "Bin", "" ], [ "He", "Wenjia", "" ], [ "Li", "Zhongxiao", "" ], [ "Zhou", "Longxi", "" ], [ "Gao", "Xin", ...
Revoking personal private data is one of the basic human rights, which has already been sheltered by several privacy-preserving laws in many countries. However, with the development of data science, machine learning and deep learning techniques, this right is usually neglected or violated as more and more patients' dat...
cs/0703030
Konstantin Rybnikov
Konstantin Rybnikov
An Efficient Local Approach to Convexity Testing of Piecewise-Linear Hypersurfaces
3 figures
null
null
null
cs.CG
null
We show that a closed piecewise-linear hypersurface immersed in $R^n$ ($n\ge 3$) is the boundary of a convex body if and only if every point in the interior of each $(n-3)$-face has a neighborhood that lies on the boundary of some convex body; no assumptions about the hypersurface's topology are needed. We derive thi...
[ { "created": "Wed, 7 Mar 2007 07:33:02 GMT", "version": "v1" } ]
2007-05-23
[ [ "Rybnikov", "Konstantin", "" ] ]
We show that a closed piecewise-linear hypersurface immersed in $R^n$ ($n\ge 3$) is the boundary of a convex body if and only if every point in the interior of each $(n-3)$-face has a neighborhood that lies on the boundary of some convex body; no assumptions about the hypersurface's topology are needed. We derive this ...
2207.09159
Ahmed El Kerim
Ahmed El Kerim and Pierre Gosselet and Frederic Magoules
Couplage Global-Local en asynchrone pour des probl\`emes lin\'eaires
in French language
null
null
null
cs.DC
http://creativecommons.org/licenses/by-nc-nd/4.0/
An asynchronous parallel version of the non-intrusive global-local coupling is implemented. The case of many patches, including those covering the entire structure, is studied. The asynchronism limits the dependency on communications, failures, and load imbalance. We detail the method and illustrate its performance i...
[ { "created": "Tue, 19 Jul 2022 09:59:12 GMT", "version": "v1" } ]
2022-07-20
[ [ "Kerim", "Ahmed El", "" ], [ "Gosselet", "Pierre", "" ], [ "Magoules", "Frederic", "" ] ]
An asynchronous parallel version of the non-intrusive global-local coupling is implemented. The case of many patches, including those covering the entire structure, is studied. The asynchronism limits the dependency on communications, failures, and load imbalance. We detail the method and illustrate its performance in ...
1811.08225
Danilo Vasconcellos Vargas
Danilo Vasconcellos Vargas and Hirotaka Takano and Junichi Murata
Self Organizing Classifiers: First Steps in Structured Evolutionary Machine Learning
null
Evolutionary Intelligence 6 (2), 57-72 (2013)
null
null
cs.NE cs.AI cs.LG cs.MA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Learning classifier systems (LCSs) are evolutionary machine learning algorithms, flexible enough to be applied to reinforcement, supervised and unsupervised learning problems with good performance. Recently, self organizing classifiers were proposed which are similar to LCSs but have the advantage that in its structu...
[ { "created": "Tue, 20 Nov 2018 13:00:51 GMT", "version": "v1" } ]
2018-11-21
[ [ "Vargas", "Danilo Vasconcellos", "" ], [ "Takano", "Hirotaka", "" ], [ "Murata", "Junichi", "" ] ]
Learning classifier systems (LCSs) are evolutionary machine learning algorithms, flexible enough to be applied to reinforcement, supervised and unsupervised learning problems with good performance. Recently, self organizing classifiers were proposed which are similar to LCSs but have the advantage that in its structure...
1210.6719
Jun Muramatsu
Jun Muramatsu and Shigeki Miyake
Construction of Multiple Access Channel Codes Based on Hash Property
This paper has been presented in part at Proc. 2011 IEEE Internal Symposium on Information Theory and submitted to IEEE Transactions on Information Theory. 39 pages
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The aim of this paper is to introduce the construction of codes for a general discrete stationary memoryless multiple access channel based on the the notion of the hash property. Since an ensemble of sparse matrices has a hash property, we can use sparse matrices for code construction. Our approach has a potential ad...
[ { "created": "Thu, 25 Oct 2012 01:34:37 GMT", "version": "v1" } ]
2012-10-26
[ [ "Muramatsu", "Jun", "" ], [ "Miyake", "Shigeki", "" ] ]
The aim of this paper is to introduce the construction of codes for a general discrete stationary memoryless multiple access channel based on the the notion of the hash property. Since an ensemble of sparse matrices has a hash property, we can use sparse matrices for code construction. Our approach has a potential adva...
2201.07048
Tianyu Fang
Tianyu Fang, Yijie Mao, Shanpu Shen, Zhencai Zhu, Bruno Clerckx
Fully Connected Reconfigurable Intelligent Surface Aided Rate-Splitting Multiple Access for Multi-User Multi-Antenna Transmission
6 pages, 5figures, conference
null
null
null
cs.IT math.IT
http://creativecommons.org/licenses/by/4.0/
Rate-splitting multiple access (RSMA) has been recognized as a promising and powerful multiple access (MA) scheme, non-orthogonal transmission framework and interference management strategy for 6G. Inspired by the appealing spectral efficiency gain achieved by RSMA over conventional MA schemes in multi-user multi-ant...
[ { "created": "Tue, 18 Jan 2022 15:20:02 GMT", "version": "v1" }, { "created": "Thu, 10 Mar 2022 05:19:47 GMT", "version": "v2" } ]
2022-03-11
[ [ "Fang", "Tianyu", "" ], [ "Mao", "Yijie", "" ], [ "Shen", "Shanpu", "" ], [ "Zhu", "Zhencai", "" ], [ "Clerckx", "Bruno", "" ] ]
Rate-splitting multiple access (RSMA) has been recognized as a promising and powerful multiple access (MA) scheme, non-orthogonal transmission framework and interference management strategy for 6G. Inspired by the appealing spectral efficiency gain achieved by RSMA over conventional MA schemes in multi-user multi-anten...
1510.02181
Alejandro Erickson
Alejandro Erickson and and Iain A. Stewart and Javier Navaridas and Abbas E. Kiasari
The Stellar Transformation: From Interconnection Networks to Datacenter Networks
Submitted to a journal
null
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The first dual-port server-centric datacenter network, FiConn, was introduced in 2009 and there are several others now in existence; however, the pool of topologies to choose from remains small. We propose a new generic construction, the stellar transformation, that dramatically increases the size of this pool by fac...
[ { "created": "Thu, 8 Oct 2015 02:09:29 GMT", "version": "v1" }, { "created": "Mon, 30 Nov 2015 01:16:36 GMT", "version": "v2" }, { "created": "Wed, 17 Feb 2016 01:01:34 GMT", "version": "v3" }, { "created": "Mon, 27 Jun 2016 21:41:20 GMT", "version": "v4" } ]
2016-06-29
[ [ "Erickson", "Alejandro", "" ], [ "Stewart", "and Iain A.", "" ], [ "Navaridas", "Javier", "" ], [ "Kiasari", "Abbas E.", "" ] ]
The first dual-port server-centric datacenter network, FiConn, was introduced in 2009 and there are several others now in existence; however, the pool of topologies to choose from remains small. We propose a new generic construction, the stellar transformation, that dramatically increases the size of this pool by facil...
2303.07710
Th\'eo Pierron
Nicolas Bousquet, Valentin Gledel, Jonathan Narboni, Th\'eo Pierron
A note on the flip distance between non-crossing spanning trees
null
null
null
null
cs.CG cs.DM math.CO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider spanning trees of $n$ points in convex position whose edges are pairwise non-crossing. Applying a flip to such a tree consists in adding an edge and removing another so that the result is still a non-crossing spanning tree. Given two trees, we investigate the minimum number of flips required to transform ...
[ { "created": "Tue, 14 Mar 2023 08:52:36 GMT", "version": "v1" } ]
2023-03-15
[ [ "Bousquet", "Nicolas", "" ], [ "Gledel", "Valentin", "" ], [ "Narboni", "Jonathan", "" ], [ "Pierron", "Théo", "" ] ]
We consider spanning trees of $n$ points in convex position whose edges are pairwise non-crossing. Applying a flip to such a tree consists in adding an edge and removing another so that the result is still a non-crossing spanning tree. Given two trees, we investigate the minimum number of flips required to transform on...
1704.05091
Pedro Saleiro
Pedro Saleiro, Eduarda Mendes Rodrigues, Carlos Soares, Eug\'enio Oliveira
FEUP at SemEval-2017 Task 5: Predicting Sentiment Polarity and Intensity with Financial Word Embeddings
null
null
null
null
cs.CL cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents the approach developed at the Faculty of Engineering of University of Porto, to participate in SemEval 2017, Task 5: Fine-grained Sentiment Analysis on Financial Microblogs and News. The task consisted in predicting a real continuous variable from -1.0 to +1.0 representing the polarity and intensi...
[ { "created": "Mon, 17 Apr 2017 18:48:00 GMT", "version": "v1" } ]
2017-04-19
[ [ "Saleiro", "Pedro", "" ], [ "Rodrigues", "Eduarda Mendes", "" ], [ "Soares", "Carlos", "" ], [ "Oliveira", "Eugénio", "" ] ]
This paper presents the approach developed at the Faculty of Engineering of University of Porto, to participate in SemEval 2017, Task 5: Fine-grained Sentiment Analysis on Financial Microblogs and News. The task consisted in predicting a real continuous variable from -1.0 to +1.0 representing the polarity and intensity...
2402.19076
Moritz Blum
Gennaro Nolano, Moritz Blum, Basil Ell, Philipp Cimiano
Pointing out the Shortcomings of Relation Extraction Models with Semantically Motivated Adversarials
null
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
In recent years, large language models have achieved state-of-the-art performance across various NLP tasks. However, investigations have shown that these models tend to rely on shortcut features, leading to inaccurate predictions and causing the models to be unreliable at generalization to out-of-distribution (OOD) s...
[ { "created": "Thu, 29 Feb 2024 12:01:46 GMT", "version": "v1" } ]
2024-03-01
[ [ "Nolano", "Gennaro", "" ], [ "Blum", "Moritz", "" ], [ "Ell", "Basil", "" ], [ "Cimiano", "Philipp", "" ] ]
In recent years, large language models have achieved state-of-the-art performance across various NLP tasks. However, investigations have shown that these models tend to rely on shortcut features, leading to inaccurate predictions and causing the models to be unreliable at generalization to out-of-distribution (OOD) sam...
2307.08074
Longyue Wang
Longyue Wang, Zefeng Du, Donghuai Liu, Deng Cai, Dian Yu, Haiyun Jiang, Yan Wang, Leyang Cui, Shuming Shi, Zhaopeng Tu
Disco-Bench: A Discourse-Aware Evaluation Benchmark for Language Modelling
Zhaopeng Tu is the corresponding author
null
null
null
cs.CL cs.AI
http://creativecommons.org/licenses/by/4.0/
Modeling discourse -- the linguistic phenomena that go beyond individual sentences, is a fundamental yet challenging aspect of natural language processing (NLP). However, existing evaluation benchmarks primarily focus on the evaluation of inter-sentence properties and overlook critical discourse phenomena that cross ...
[ { "created": "Sun, 16 Jul 2023 15:18:25 GMT", "version": "v1" }, { "created": "Sat, 22 Jul 2023 00:11:24 GMT", "version": "v2" } ]
2023-07-25
[ [ "Wang", "Longyue", "" ], [ "Du", "Zefeng", "" ], [ "Liu", "Donghuai", "" ], [ "Cai", "Deng", "" ], [ "Yu", "Dian", "" ], [ "Jiang", "Haiyun", "" ], [ "Wang", "Yan", "" ], [ "Cui", "Leyang", ...
Modeling discourse -- the linguistic phenomena that go beyond individual sentences, is a fundamental yet challenging aspect of natural language processing (NLP). However, existing evaluation benchmarks primarily focus on the evaluation of inter-sentence properties and overlook critical discourse phenomena that cross se...
2212.08241
Inayat Ali
Sonia Sabir, Inayat Ali, Eraj Khan
H-LPS: a hybrid approach for user's location privacy in location-based services
null
null
null
null
cs.CR
http://creativecommons.org/publicdomain/zero/1.0/
Applications providing location-based services (LBS) have gained much attention and importance with the notion of the internet of things (IoT). Users are utilizing LBS by providing their location information to third-party service providers. However, location data is very sensitive that can reveal user's private life...
[ { "created": "Fri, 16 Dec 2022 02:16:29 GMT", "version": "v1" } ]
2022-12-19
[ [ "Sabir", "Sonia", "" ], [ "Ali", "Inayat", "" ], [ "Khan", "Eraj", "" ] ]
Applications providing location-based services (LBS) have gained much attention and importance with the notion of the internet of things (IoT). Users are utilizing LBS by providing their location information to third-party service providers. However, location data is very sensitive that can reveal user's private life t...
2311.09217
Yinghao Xu
Yinghao Xu, Hao Tan, Fujun Luan, Sai Bi, Peng Wang, Jiahao Li, Zifan Shi, Kalyan Sunkavalli, Gordon Wetzstein, Zexiang Xu, Kai Zhang
DMV3D: Denoising Multi-View Diffusion using 3D Large Reconstruction Model
Project Page: https://justimyhxu.github.io/projects/dmv3d/
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose \textbf{DMV3D}, a novel 3D generation approach that uses a transformer-based 3D large reconstruction model to denoise multi-view diffusion. Our reconstruction model incorporates a triplane NeRF representation and can denoise noisy multi-view images via NeRF reconstruction and rendering, achieving single-st...
[ { "created": "Wed, 15 Nov 2023 18:58:41 GMT", "version": "v1" } ]
2023-11-16
[ [ "Xu", "Yinghao", "" ], [ "Tan", "Hao", "" ], [ "Luan", "Fujun", "" ], [ "Bi", "Sai", "" ], [ "Wang", "Peng", "" ], [ "Li", "Jiahao", "" ], [ "Shi", "Zifan", "" ], [ "Sunkavalli", "Kalyan", "...
We propose \textbf{DMV3D}, a novel 3D generation approach that uses a transformer-based 3D large reconstruction model to denoise multi-view diffusion. Our reconstruction model incorporates a triplane NeRF representation and can denoise noisy multi-view images via NeRF reconstruction and rendering, achieving single-stag...
2402.11217
Wenting Chen
Wenxuan Wang, Yihang Su, Jingyuan Huan, Jie Liu, Wenting Chen, Yudi Zhang, Cheng-Yi Li, Kao-Jung Chang, Xiaohan Xin, Linlin Shen, Michael R. Lyu
Asclepius: A Spectrum Evaluation Benchmark for Medical Multi-Modal Large Language Models
20 pages, 15 figures
null
null
null
cs.CL cs.CV
http://creativecommons.org/licenses/by-nc-sa/4.0/
The significant breakthroughs of Medical Multi-Modal Large Language Models (Med-MLLMs) renovate modern healthcare with robust information synthesis and medical decision support. However, these models are often evaluated on benchmarks that are unsuitable for the Med-MLLMs due to the intricate nature of the real-world ...
[ { "created": "Sat, 17 Feb 2024 08:04:23 GMT", "version": "v1" } ]
2024-02-20
[ [ "Wang", "Wenxuan", "" ], [ "Su", "Yihang", "" ], [ "Huan", "Jingyuan", "" ], [ "Liu", "Jie", "" ], [ "Chen", "Wenting", "" ], [ "Zhang", "Yudi", "" ], [ "Li", "Cheng-Yi", "" ], [ "Chang", "Kao-J...
The significant breakthroughs of Medical Multi-Modal Large Language Models (Med-MLLMs) renovate modern healthcare with robust information synthesis and medical decision support. However, these models are often evaluated on benchmarks that are unsuitable for the Med-MLLMs due to the intricate nature of the real-world di...
2109.06710
Junlin Zhao
Mehmet Emre Ozfatura, Junlin Zhao, and Deniz G\"und\"uz
Fast Federated Edge Learning with Overlapped Communication and Computation and Channel-Aware Fair Client Scheduling
Accepted in IEEE SPAWC 2021
null
null
null
cs.IT cs.LG math.IT
http://creativecommons.org/licenses/by/4.0/
We consider federated edge learning (FEEL) over wireless fading channels taking into account the downlink and uplink channel latencies, and the random computation delays at the clients. We speed up the training process by overlapping the communication with computation. With fountain coded transmission of the global m...
[ { "created": "Tue, 14 Sep 2021 14:16:01 GMT", "version": "v1" } ]
2021-09-15
[ [ "Ozfatura", "Mehmet Emre", "" ], [ "Zhao", "Junlin", "" ], [ "Gündüz", "Deniz", "" ] ]
We consider federated edge learning (FEEL) over wireless fading channels taking into account the downlink and uplink channel latencies, and the random computation delays at the clients. We speed up the training process by overlapping the communication with computation. With fountain coded transmission of the global mod...
2407.00265
Shayan Khorassany
Shayan Khorassany, Eric B. Dew, Mohammad Rahim Sobhani, Roger J. Zemp
Radiation Impedance of Rectangular CMUTs
18 pages, 10 figures, submitted to Sensors
null
null
null
cs.CE
http://creativecommons.org/licenses/by/4.0/
Recently, capacitive micromachined ultrasound transducers (CMUTs) with long rectangular membranes have demonstrated performance advantages over conventional piezoelectric transducers; however, modeling these CMUT geometries has been limited to computationally burdensome numerical methods. Improved fast modeling metho...
[ { "created": "Fri, 28 Jun 2024 23:55:28 GMT", "version": "v1" } ]
2024-07-02
[ [ "Khorassany", "Shayan", "" ], [ "Dew", "Eric B.", "" ], [ "Sobhani", "Mohammad Rahim", "" ], [ "Zemp", "Roger J.", "" ] ]
Recently, capacitive micromachined ultrasound transducers (CMUTs) with long rectangular membranes have demonstrated performance advantages over conventional piezoelectric transducers; however, modeling these CMUT geometries has been limited to computationally burdensome numerical methods. Improved fast modeling methods...
2309.01240
Visweswaran Baskaran
Akshaya C S, Karthik Soma, Visweswaran B, Aditya Ravichander and Venkata Nagarjun PM
Decentralized shape formation and force-based interactive formation control in robot swarms
6 pages, 10 figures
null
null
null
cs.MA cs.RO
http://creativecommons.org/licenses/by/4.0/
Swarm robotic systems utilize collective behaviour to achieve goals that might be too complex for a lone entity, but become attainable with localized communication and collective decision making. In this paper, a behaviour-based distributed approach to shape formation is proposed. Flocking into strategic formations i...
[ { "created": "Sun, 3 Sep 2023 18:46:39 GMT", "version": "v1" } ]
2023-09-06
[ [ "S", "Akshaya C", "" ], [ "Soma", "Karthik", "" ], [ "B", "Visweswaran", "" ], [ "Ravichander", "Aditya", "" ], [ "PM", "Venkata Nagarjun", "" ] ]
Swarm robotic systems utilize collective behaviour to achieve goals that might be too complex for a lone entity, but become attainable with localized communication and collective decision making. In this paper, a behaviour-based distributed approach to shape formation is proposed. Flocking into strategic formations is ...
2308.11204
Zihang Liu
Zihang Liu, Le Yu, Tongyu Zhu, Leiei Sun
A Simple Framework for Multi-mode Spatial-Temporal Data Modeling
null
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
Spatial-temporal data modeling aims to mine the underlying spatial relationships and temporal dependencies of objects in a system. However, most existing methods focus on the modeling of spatial-temporal data in a single mode, lacking the understanding of multiple modes. Though very few methods have been presented to...
[ { "created": "Tue, 22 Aug 2023 05:41:20 GMT", "version": "v1" } ]
2023-08-23
[ [ "Liu", "Zihang", "" ], [ "Yu", "Le", "" ], [ "Zhu", "Tongyu", "" ], [ "Sun", "Leiei", "" ] ]
Spatial-temporal data modeling aims to mine the underlying spatial relationships and temporal dependencies of objects in a system. However, most existing methods focus on the modeling of spatial-temporal data in a single mode, lacking the understanding of multiple modes. Though very few methods have been presented to l...
2203.15706
Alec Linot
Alec J. Linot, Joshua W. Burby, Qi Tang, Prasanna Balaprakash, Michael D. Graham, Romit Maulik
Stabilized Neural Ordinary Differential Equations for Long-Time Forecasting of Dynamical Systems
null
null
10.1016/j.jcp.2022.111838
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
In data-driven modeling of spatiotemporal phenomena careful consideration often needs to be made in capturing the dynamics of the high wavenumbers. This problem becomes especially challenging when the system of interest exhibits shocks or chaotic dynamics. We present a data-driven modeling method that accurately capt...
[ { "created": "Tue, 29 Mar 2022 16:10:34 GMT", "version": "v1" }, { "created": "Tue, 4 Oct 2022 00:03:30 GMT", "version": "v2" } ]
2022-12-28
[ [ "Linot", "Alec J.", "" ], [ "Burby", "Joshua W.", "" ], [ "Tang", "Qi", "" ], [ "Balaprakash", "Prasanna", "" ], [ "Graham", "Michael D.", "" ], [ "Maulik", "Romit", "" ] ]
In data-driven modeling of spatiotemporal phenomena careful consideration often needs to be made in capturing the dynamics of the high wavenumbers. This problem becomes especially challenging when the system of interest exhibits shocks or chaotic dynamics. We present a data-driven modeling method that accurately captur...
2306.02190
Sofia Serrano
Sofia Serrano, Jesse Dodge, Noah A. Smith
Stubborn Lexical Bias in Data and Models
ACL Findings 2023
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
In NLP, recent work has seen increased focus on spurious correlations between various features and labels in training data, and how these influence model behavior. However, the presence and effect of such correlations are typically examined feature by feature. We investigate the cumulative impact on a model of many s...
[ { "created": "Sat, 3 Jun 2023 20:12:27 GMT", "version": "v1" } ]
2023-06-06
[ [ "Serrano", "Sofia", "" ], [ "Dodge", "Jesse", "" ], [ "Smith", "Noah A.", "" ] ]
In NLP, recent work has seen increased focus on spurious correlations between various features and labels in training data, and how these influence model behavior. However, the presence and effect of such correlations are typically examined feature by feature. We investigate the cumulative impact on a model of many suc...
1501.07422
Kohta Ishikawa
Kohta Ishikawa, Ikuro Sato, Mitsuru Ambai
Pairwise Rotation Hashing for High-dimensional Features
16 pages, 8 figures, wrote at Mar 2014
null
null
null
cs.CV stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Binary Hashing is widely used for effective approximate nearest neighbors search. Even though various binary hashing methods have been proposed, very few methods are feasible for extremely high-dimensional features often used in visual tasks today. We propose a novel highly sparse linear hashing method based on pairw...
[ { "created": "Thu, 29 Jan 2015 11:50:33 GMT", "version": "v1" } ]
2015-01-30
[ [ "Ishikawa", "Kohta", "" ], [ "Sato", "Ikuro", "" ], [ "Ambai", "Mitsuru", "" ] ]
Binary Hashing is widely used for effective approximate nearest neighbors search. Even though various binary hashing methods have been proposed, very few methods are feasible for extremely high-dimensional features often used in visual tasks today. We propose a novel highly sparse linear hashing method based on pairwis...
cs/0612081
Manas Tungare
Manas Tungare, Pardha S. Pyla, Manuel P\'erez-Qui\~nones, and Steve Harrison
Personal Information Ecosystems and Implications for Design
null
null
null
null
cs.HC
null
Today, people use multiple devices to fulfill their information needs. However, designers design each device individually, without accounting for the other devices that users may also use. In many cases, the applications on all these devices are designed to be functional replicates of each other. We argue that this r...
[ { "created": "Mon, 18 Dec 2006 07:53:34 GMT", "version": "v1" } ]
2007-05-23
[ [ "Tungare", "Manas", "" ], [ "Pyla", "Pardha S.", "" ], [ "Pérez-Quiñones", "Manuel", "" ], [ "Harrison", "Steve", "" ] ]
Today, people use multiple devices to fulfill their information needs. However, designers design each device individually, without accounting for the other devices that users may also use. In many cases, the applications on all these devices are designed to be functional replicates of each other. We argue that this res...
2305.09527
Dominik Muhle
Dominik Muhle, Lukas Koestler, Krishna Murthy Jatavallabhula, Daniel Cremers
Learning Correspondence Uncertainty via Differentiable Nonlinear Least Squares
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose a differentiable nonlinear least squares framework to account for uncertainty in relative pose estimation from feature correspondences. Specifically, we introduce a symmetric version of the probabilistic normal epipolar constraint, and an approach to estimate the covariance of feature positions by differen...
[ { "created": "Tue, 16 May 2023 15:21:09 GMT", "version": "v1" }, { "created": "Thu, 18 May 2023 18:35:23 GMT", "version": "v2" } ]
2023-05-22
[ [ "Muhle", "Dominik", "" ], [ "Koestler", "Lukas", "" ], [ "Jatavallabhula", "Krishna Murthy", "" ], [ "Cremers", "Daniel", "" ] ]
We propose a differentiable nonlinear least squares framework to account for uncertainty in relative pose estimation from feature correspondences. Specifically, we introduce a symmetric version of the probabilistic normal epipolar constraint, and an approach to estimate the covariance of feature positions by differenti...
2206.00169
Giannis Daras
Giannis Daras and Alexandros G. Dimakis
Discovering the Hidden Vocabulary of DALLE-2
6 pages, 4 figures
null
null
null
cs.LG cs.CL cs.CR cs.CV
http://creativecommons.org/licenses/by/4.0/
We discover that DALLE-2 seems to have a hidden vocabulary that can be used to generate images with absurd prompts. For example, it seems that \texttt{Apoploe vesrreaitais} means birds and \texttt{Contarra ccetnxniams luryca tanniounons} (sometimes) means bugs or pests. We find that these prompts are often consistent...
[ { "created": "Wed, 1 Jun 2022 01:14:48 GMT", "version": "v1" } ]
2022-06-02
[ [ "Daras", "Giannis", "" ], [ "Dimakis", "Alexandros G.", "" ] ]
We discover that DALLE-2 seems to have a hidden vocabulary that can be used to generate images with absurd prompts. For example, it seems that \texttt{Apoploe vesrreaitais} means birds and \texttt{Contarra ccetnxniams luryca tanniounons} (sometimes) means bugs or pests. We find that these prompts are often consistent i...
2005.05455
Ron Roth
Ron M. Roth, Paul H. Siegel
Variable-Length Constrained Coding and Kraft Conditions: The Parity-Preserving Case
Title has been changed, along with minor modification in text
null
null
null
cs.IT math.CO math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Previous work by the authors on parity-preserving fixed-length constrained encoders is extended to the variable-length case. Parity-preserving variable-length encoders are formally defined, and, to this end, Kraft conditions are developed for the parity-preserving variable-length setting. Then, a necessary and suffic...
[ { "created": "Mon, 11 May 2020 21:53:22 GMT", "version": "v1" }, { "created": "Thu, 1 Jul 2021 20:53:48 GMT", "version": "v2" } ]
2021-07-05
[ [ "Roth", "Ron M.", "" ], [ "Siegel", "Paul H.", "" ] ]
Previous work by the authors on parity-preserving fixed-length constrained encoders is extended to the variable-length case. Parity-preserving variable-length encoders are formally defined, and, to this end, Kraft conditions are developed for the parity-preserving variable-length setting. Then, a necessary and sufficie...
2305.18859
Jan Mrkos
David Fiedler and Jan Mrkos
Large-scale Ridesharing DARP Instances Based on Real Travel Demand
8 pages, 9 figures. Submitted to 26th IEEE International Conference on Intelligent Transportation Systems ITSC 2023. For the published associated dataset and source codes, see the repository https://github.com/aicenter/Ridesharing_DARP_instances
null
null
null
cs.AI math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Accurately predicting the real-life performance of algorithms solving the Dial-a-Ride Problem (DARP) in the context of Mobility on Demand (MoD) systems with ridesharing requires evaluating them on representative instances. However, the benchmarking of state-of-the-art DARP solution methods has been limited to small, ...
[ { "created": "Tue, 30 May 2023 08:51:11 GMT", "version": "v1" } ]
2023-05-31
[ [ "Fiedler", "David", "" ], [ "Mrkos", "Jan", "" ] ]
Accurately predicting the real-life performance of algorithms solving the Dial-a-Ride Problem (DARP) in the context of Mobility on Demand (MoD) systems with ridesharing requires evaluating them on representative instances. However, the benchmarking of state-of-the-art DARP solution methods has been limited to small, ar...
1809.08198
Huda Nassar
Huda Nassar, Georgios Kollias, Ananth Grama, David F. Gleich
Low rank methods for multiple network alignment
17 pages, 10 figures
null
null
null
cs.SI cs.LG physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Multiple network alignment is the problem of identifying similar and related regions in a given set of networks. While there are a large number of effective techniques for pairwise problems with two networks that scale in terms of edges, these cannot be readily extended to align multiple networks as the computational...
[ { "created": "Fri, 21 Sep 2018 16:38:36 GMT", "version": "v1" } ]
2018-09-24
[ [ "Nassar", "Huda", "" ], [ "Kollias", "Georgios", "" ], [ "Grama", "Ananth", "" ], [ "Gleich", "David F.", "" ] ]
Multiple network alignment is the problem of identifying similar and related regions in a given set of networks. While there are a large number of effective techniques for pairwise problems with two networks that scale in terms of edges, these cannot be readily extended to align multiple networks as the computational c...
1806.00428
Aditya Vora
Aditya Vora
A Classification approach towards Unsupervised Learning of Visual Representations
null
null
null
null
cs.CV cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we present a technique for unsupervised learning of visual representations. Specifically, we train a model for foreground and background classification task, in the process of which it learns visual representations. Foreground and background patches for training come af- ter mining for such patches fro...
[ { "created": "Fri, 1 Jun 2018 16:35:08 GMT", "version": "v1" } ]
2018-06-04
[ [ "Vora", "Aditya", "" ] ]
In this paper, we present a technique for unsupervised learning of visual representations. Specifically, we train a model for foreground and background classification task, in the process of which it learns visual representations. Foreground and background patches for training come af- ter mining for such patches from ...
2401.09456
Denis Shchepakin
Denis Shchepakin, Sreecharan Sankaranarayanan, Dawn Zimmaro
Parametric Constraints for Bayesian Knowledge Tracing from First Principles
null
null
null
null
cs.CY cs.LG stat.ML
http://creativecommons.org/licenses/by-nc-nd/4.0/
Bayesian Knowledge Tracing (BKT) is a probabilistic model of a learner's state of mastery corresponding to a knowledge component. It considers the learner's state of mastery as a "hidden" or latent binary variable and updates this state based on the observed correctness of the learner's response using parameters that...
[ { "created": "Sat, 23 Dec 2023 03:58:41 GMT", "version": "v1" } ]
2024-01-19
[ [ "Shchepakin", "Denis", "" ], [ "Sankaranarayanan", "Sreecharan", "" ], [ "Zimmaro", "Dawn", "" ] ]
Bayesian Knowledge Tracing (BKT) is a probabilistic model of a learner's state of mastery corresponding to a knowledge component. It considers the learner's state of mastery as a "hidden" or latent binary variable and updates this state based on the observed correctness of the learner's response using parameters that r...
1511.09360
Faisal Abu-Khzam
Faisal N. Abu-Khzam
On the Complexity of Multi-Parameterized Cluster Editing
null
null
null
null
cs.DS cs.CC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The Cluster Editing problem seeks a transformation of a given undirected graph into a disjoint union of cliques via a minimum number of edge additions or deletions. A multi-parameterized version of the problem is studied, featuring a number of input parameters that bound the amount of both edge-additions and deletion...
[ { "created": "Mon, 30 Nov 2015 15:56:47 GMT", "version": "v1" } ]
2015-12-01
[ [ "Abu-Khzam", "Faisal N.", "" ] ]
The Cluster Editing problem seeks a transformation of a given undirected graph into a disjoint union of cliques via a minimum number of edge additions or deletions. A multi-parameterized version of the problem is studied, featuring a number of input parameters that bound the amount of both edge-additions and deletions ...
1512.06922
Yinxiao Li
Yinxiao Li and Yonghao Yue and Danfei Xu and Eitan Grinspun and Peter Allen
Folding Deformable Objects using Predictive Simulation and Trajectory Optimization
8 pages, 9 figures, Proceedings of IROS 2015
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Robotic manipulation of deformable objects remains a challenging task. One such task is folding a garment autonomously. Given start and end folding positions, what is an optimal trajectory to move the robotic arm to fold a garment? Certain trajectories will cause the garment to move, creating wrinkles, and gaps, othe...
[ { "created": "Tue, 22 Dec 2015 00:46:47 GMT", "version": "v1" } ]
2015-12-23
[ [ "Li", "Yinxiao", "" ], [ "Yue", "Yonghao", "" ], [ "Xu", "Danfei", "" ], [ "Grinspun", "Eitan", "" ], [ "Allen", "Peter", "" ] ]
Robotic manipulation of deformable objects remains a challenging task. One such task is folding a garment autonomously. Given start and end folding positions, what is an optimal trajectory to move the robotic arm to fold a garment? Certain trajectories will cause the garment to move, creating wrinkles, and gaps, other ...
2312.09369
Dmitriy Serdyuk
Avner May, Dmitriy Serdyuk, Ankit Parag Shah, Otavio Braga, Olivier Siohan
Audio-visual fine-tuning of audio-only ASR models
null
null
null
null
cs.SD cs.AI eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Audio-visual automatic speech recognition (AV-ASR) models are very effective at reducing word error rates on noisy speech, but require large amounts of transcribed AV training data. Recently, audio-visual self-supervised learning (SSL) approaches have been developed to reduce this dependence on transcribed AV data, b...
[ { "created": "Thu, 14 Dec 2023 22:05:15 GMT", "version": "v1" } ]
2023-12-18
[ [ "May", "Avner", "" ], [ "Serdyuk", "Dmitriy", "" ], [ "Shah", "Ankit Parag", "" ], [ "Braga", "Otavio", "" ], [ "Siohan", "Olivier", "" ] ]
Audio-visual automatic speech recognition (AV-ASR) models are very effective at reducing word error rates on noisy speech, but require large amounts of transcribed AV training data. Recently, audio-visual self-supervised learning (SSL) approaches have been developed to reduce this dependence on transcribed AV data, but...
2406.08754
HengRui Xing
Bangxin Li and Hengrui Xing and Chao Huang and Jin Qian and Huangqing Xiao and Linfeng Feng and Cong Tian
Exploiting Uncommon Text-Encoded Structures for Automated Jailbreaks in LLMs
12 pages, 4 figures
null
null
null
cs.CL cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Large Language Models (LLMs) are widely used in natural language processing but face the risk of jailbreak attacks that maliciously induce them to generate harmful content. Existing jailbreak attacks, including character-level and context-level attacks, mainly focus on the prompt of the plain text without specificall...
[ { "created": "Thu, 13 Jun 2024 02:24:08 GMT", "version": "v1" }, { "created": "Fri, 19 Jul 2024 08:23:38 GMT", "version": "v2" } ]
2024-07-22
[ [ "Li", "Bangxin", "" ], [ "Xing", "Hengrui", "" ], [ "Huang", "Chao", "" ], [ "Qian", "Jin", "" ], [ "Xiao", "Huangqing", "" ], [ "Feng", "Linfeng", "" ], [ "Tian", "Cong", "" ] ]
Large Language Models (LLMs) are widely used in natural language processing but face the risk of jailbreak attacks that maliciously induce them to generate harmful content. Existing jailbreak attacks, including character-level and context-level attacks, mainly focus on the prompt of the plain text without specifically ...
2311.10732
Daniel Leiker
Daniel Leiker
White Paper: The Generative Education (GenEd) Framework
null
null
null
null
cs.CY
http://creativecommons.org/licenses/by-nc-sa/4.0/
The Generative Education (GenEd) Framework explores the transition from Large Language Models (LLMs) to Large Multimodal Models (LMMs) in education, envisioning a harmonious relationship between AI and educators to enhance learning experiences. This paper delves into the potential of LMMs to create personalized, inte...
[ { "created": "Mon, 16 Oct 2023 23:30:42 GMT", "version": "v1" }, { "created": "Wed, 22 Nov 2023 16:07:26 GMT", "version": "v2" } ]
2023-11-23
[ [ "Leiker", "Daniel", "" ] ]
The Generative Education (GenEd) Framework explores the transition from Large Language Models (LLMs) to Large Multimodal Models (LMMs) in education, envisioning a harmonious relationship between AI and educators to enhance learning experiences. This paper delves into the potential of LMMs to create personalized, intera...
1810.01351
Elena Guti\'errez Viedma
Pierre Ganty and Elena Guti\'errez
The Parikh Property for Weighted Context-Free Grammars
29 pages, 2 figures, long version of FSTTCS'18 paper
null
10.4230/LIPIcs.FSTTCS.2018
null
cs.FL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Parikh's Theorem states that every context-free grammar (CFG) is equivalent to some regular CFG when the ordering of symbols in the words is ignored. The same is not true for the so-called weighted CFGs, which additionally assign a weight to each grammar rule. If the result holds for a given weighted CFG $G$, we say ...
[ { "created": "Tue, 2 Oct 2018 16:22:27 GMT", "version": "v1" }, { "created": "Thu, 27 Dec 2018 14:49:19 GMT", "version": "v2" }, { "created": "Wed, 19 Jun 2019 01:24:47 GMT", "version": "v3" } ]
2019-06-20
[ [ "Ganty", "Pierre", "" ], [ "Gutiérrez", "Elena", "" ] ]
Parikh's Theorem states that every context-free grammar (CFG) is equivalent to some regular CFG when the ordering of symbols in the words is ignored. The same is not true for the so-called weighted CFGs, which additionally assign a weight to each grammar rule. If the result holds for a given weighted CFG $G$, we say th...
1705.01823
Michael Vanden Boom
Michael Benedikt, Pierre Bourhis, Michael Vanden Boom
Definability and Interpolation within Decidable Fixpoint Logics
null
Logical Methods in Computer Science, Volume 15, Issue 3 (September 10, 2019) lmcs:4729
10.23638/LMCS-15(3:29)2019
null
cs.LO
http://creativecommons.org/licenses/by/4.0/
We look at characterizing which formulas are expressible in rich decidable logics such as guarded fixpoint logic, unary negation fixpoint logic, and guarded negation fixpoint logic. We consider semantic characterizations of definability, as well as effective characterizations. Our algorithms revolve around a finer an...
[ { "created": "Thu, 4 May 2017 12:59:24 GMT", "version": "v1" }, { "created": "Tue, 31 Jul 2018 14:28:42 GMT", "version": "v2" }, { "created": "Sun, 2 Jun 2019 07:39:10 GMT", "version": "v3" }, { "created": "Mon, 9 Sep 2019 15:00:17 GMT", "version": "v4" } ]
2023-06-22
[ [ "Benedikt", "Michael", "" ], [ "Bourhis", "Pierre", "" ], [ "Boom", "Michael Vanden", "" ] ]
We look at characterizing which formulas are expressible in rich decidable logics such as guarded fixpoint logic, unary negation fixpoint logic, and guarded negation fixpoint logic. We consider semantic characterizations of definability, as well as effective characterizations. Our algorithms revolve around a finer anal...