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2106.01805
Tiange Xiang
Tiange Xiang, Chaoyi Zhang, Yang Song, Siqi Liu, Hongliang Yuan, Weidong Cai
Partial Graph Reasoning for Neural Network Regularization
Technical report
null
null
null
cs.LG cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Regularizers help deep neural networks prevent feature co-adaptations. Dropout, as a commonly used regularization technique, stochastically disables neuron activations during network optimization. However, such complete feature disposal can affect the feature representation and network understanding. Toward better de...
[ { "created": "Thu, 3 Jun 2021 12:57:01 GMT", "version": "v1" }, { "created": "Mon, 24 Jan 2022 09:01:59 GMT", "version": "v2" } ]
2022-01-25
[ [ "Xiang", "Tiange", "" ], [ "Zhang", "Chaoyi", "" ], [ "Song", "Yang", "" ], [ "Liu", "Siqi", "" ], [ "Yuan", "Hongliang", "" ], [ "Cai", "Weidong", "" ] ]
Regularizers help deep neural networks prevent feature co-adaptations. Dropout, as a commonly used regularization technique, stochastically disables neuron activations during network optimization. However, such complete feature disposal can affect the feature representation and network understanding. Toward better desc...
2403.07072
Kurt Butler
Kurt Butler, Guanchao Feng, Petar M. Djuric
Explainable Learning with Gaussian Processes
38 pages, 7 figures
null
null
null
cs.LG eess.SP
http://creativecommons.org/licenses/by/4.0/
The field of explainable artificial intelligence (XAI) attempts to develop methods that provide insight into how complicated machine learning methods make predictions. Many methods of explanation have focused on the concept of feature attribution, a decomposition of the model's prediction into individual contribution...
[ { "created": "Mon, 11 Mar 2024 18:03:02 GMT", "version": "v1" } ]
2024-03-13
[ [ "Butler", "Kurt", "" ], [ "Feng", "Guanchao", "" ], [ "Djuric", "Petar M.", "" ] ]
The field of explainable artificial intelligence (XAI) attempts to develop methods that provide insight into how complicated machine learning methods make predictions. Many methods of explanation have focused on the concept of feature attribution, a decomposition of the model's prediction into individual contributions ...
1601.06908
Jerome Lacan
Alexandre Soro, Jerome Lacan, Vincent Roca, Valentin Savin and Mathieu Cunche
Enhanced Recursive Reed-Muller Erasure Decoding
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent work have shown that Reed-Muller (RM) codes achieve the erasure channel capacity. However, this performance is obtained with maximum-likelihood decoding which can be costly for practical applications. In this paper, we propose an encoding/decoding scheme for Reed-Muller codes on the packet erasure channel base...
[ { "created": "Tue, 26 Jan 2016 07:13:00 GMT", "version": "v1" } ]
2016-01-27
[ [ "Soro", "Alexandre", "" ], [ "Lacan", "Jerome", "" ], [ "Roca", "Vincent", "" ], [ "Savin", "Valentin", "" ], [ "Cunche", "Mathieu", "" ] ]
Recent work have shown that Reed-Muller (RM) codes achieve the erasure channel capacity. However, this performance is obtained with maximum-likelihood decoding which can be costly for practical applications. In this paper, we propose an encoding/decoding scheme for Reed-Muller codes on the packet erasure channel based ...
2406.08444
Wei-Tung Lin
Wei-Tung Lin and Yong-Xiang Lin and Jyun-Wei Chen and Kai-Lung Hua
PixMamba: Leveraging State Space Models in a Dual-Level Architecture for Underwater Image Enhancement
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Underwater Image Enhancement (UIE) is critical for marine research and exploration but hindered by complex color distortions and severe blurring. Recent deep learning-based methods have achieved remarkable results, yet these methods struggle with high computational costs and insufficient global modeling, resulting in...
[ { "created": "Wed, 12 Jun 2024 17:34:38 GMT", "version": "v1" } ]
2024-06-13
[ [ "Lin", "Wei-Tung", "" ], [ "Lin", "Yong-Xiang", "" ], [ "Chen", "Jyun-Wei", "" ], [ "Hua", "Kai-Lung", "" ] ]
Underwater Image Enhancement (UIE) is critical for marine research and exploration but hindered by complex color distortions and severe blurring. Recent deep learning-based methods have achieved remarkable results, yet these methods struggle with high computational costs and insufficient global modeling, resulting in l...
1410.7330
Edvin Wedin
Peter Hegarty, Anders Martinsson and Edvin Wedin
The Hegselmann-Krause dynamics on the circle converge
9 pages, 2 figures. Version 2: A small error in the proof of Theorem 1.1 is corrected and an acknowledgement added. Bibliography updated
null
null
null
cs.SY math.CO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider the Hegselmann-Krause dynamics on a one-dimensional torus and provide the first proof of convergence of this system. The proof requires only fairly minor modifications of existing methods for proving convergence in Euclidean space.
[ { "created": "Mon, 27 Oct 2014 17:50:12 GMT", "version": "v1" }, { "created": "Mon, 6 Apr 2015 17:19:06 GMT", "version": "v2" } ]
2015-04-07
[ [ "Hegarty", "Peter", "" ], [ "Martinsson", "Anders", "" ], [ "Wedin", "Edvin", "" ] ]
We consider the Hegselmann-Krause dynamics on a one-dimensional torus and provide the first proof of convergence of this system. The proof requires only fairly minor modifications of existing methods for proving convergence in Euclidean space.
1309.1264
EPTCS
Kenichi Morita (Hiroshima University)
Reversible Logic Elements with Memory and Their Universality
In Proceedings MCU 2013, arXiv:1309.1043
EPTCS 128, 2013, pp. 3-14
10.4204/EPTCS.128.3
null
cs.FL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Reversible computing is a paradigm of computation that reflects physical reversibility, one of the fundamental microscopic laws of Nature. In this survey, we discuss topics on reversible logic elements with memory (RLEM), which can be used to build reversible computing systems, and their universality. An RLEM is call...
[ { "created": "Thu, 5 Sep 2013 08:06:55 GMT", "version": "v1" } ]
2013-09-06
[ [ "Morita", "Kenichi", "", "Hiroshima University" ] ]
Reversible computing is a paradigm of computation that reflects physical reversibility, one of the fundamental microscopic laws of Nature. In this survey, we discuss topics on reversible logic elements with memory (RLEM), which can be used to build reversible computing systems, and their universality. An RLEM is called...
1510.07176
Marco Levorato
Qing Han, Chenxi Wang, Marco Levorato and Osvaldo Simeone
On the Effect of Fronthaul Latency on ARQ in C-RAN Systems
Submitted
null
null
null
cs.IT cs.NI math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the Cloud Radio Access Network (C-RAN) architecture, a Control Unit (CU) implements the baseband processing functionalities of a cluster of Base Stations (BSs), which are connected to it through a fronthaul network. This architecture enables centralized processing at the CU, and hence the implementation of enhance...
[ { "created": "Sat, 24 Oct 2015 19:16:59 GMT", "version": "v1" } ]
2015-10-27
[ [ "Han", "Qing", "" ], [ "Wang", "Chenxi", "" ], [ "Levorato", "Marco", "" ], [ "Simeone", "Osvaldo", "" ] ]
In the Cloud Radio Access Network (C-RAN) architecture, a Control Unit (CU) implements the baseband processing functionalities of a cluster of Base Stations (BSs), which are connected to it through a fronthaul network. This architecture enables centralized processing at the CU, and hence the implementation of enhanced ...
1801.09796
Maiara F. Bollauf
Maiara F. Bollauf, Vinay A. Vaishampayan, Sueli I. R. Costa
Communication-Efficient Search for an Approximate Closest Lattice Point
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider the problem of finding the closest lattice point to a vector in n-dimensional Euclidean space when each component of the vector is available at a distinct node in a network. Our objectives are (i) minimize the communication cost and (ii) obtain the error probability. The approximate closest lattice point ...
[ { "created": "Mon, 29 Jan 2018 23:31:36 GMT", "version": "v1" } ]
2018-01-31
[ [ "Bollauf", "Maiara F.", "" ], [ "Vaishampayan", "Vinay A.", "" ], [ "Costa", "Sueli I. R.", "" ] ]
We consider the problem of finding the closest lattice point to a vector in n-dimensional Euclidean space when each component of the vector is available at a distinct node in a network. Our objectives are (i) minimize the communication cost and (ii) obtain the error probability. The approximate closest lattice point co...
1311.0536
Nikos Bikakis
Nikos Bikakis, Chrisa Tsinaraki, Ioannis Stavrakantonakis, Nektarios Gioldasis, Stavros Christodoulakis
The SPARQL2XQuery Interoperability Framework. Utilizing Schema Mapping, Schema Transformation and Query Translation to Integrate XML and the Semantic Web
To appear in World Wide Web Journal (WWWJ), Springer 2013
null
null
null
cs.DB
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The Web of Data is an open environment consisting of a great number of large inter-linked RDF datasets from various domains. In this environment, organizations and companies adopt the Linked Data practices utilizing Semantic Web (SW) technologies, in order to publish their data and offer SPARQL endpoints (i.e., SPARQ...
[ { "created": "Sun, 3 Nov 2013 21:57:48 GMT", "version": "v1" }, { "created": "Thu, 26 Dec 2013 00:20:14 GMT", "version": "v2" }, { "created": "Thu, 2 Jan 2014 02:53:19 GMT", "version": "v3" } ]
2014-01-03
[ [ "Bikakis", "Nikos", "" ], [ "Tsinaraki", "Chrisa", "" ], [ "Stavrakantonakis", "Ioannis", "" ], [ "Gioldasis", "Nektarios", "" ], [ "Christodoulakis", "Stavros", "" ] ]
The Web of Data is an open environment consisting of a great number of large inter-linked RDF datasets from various domains. In this environment, organizations and companies adopt the Linked Data practices utilizing Semantic Web (SW) technologies, in order to publish their data and offer SPARQL endpoints (i.e., SPARQL-...
1302.2167
Kartik Venkat
Kartik Venkat, Tsachy Weissman, Yair Carmon and Shlomo Shamai
Information, Estimation, and Lookahead in the Gaussian channel
30 pages, 10 figures, submitted to IEEE Transactions on Information Theory
null
10.1109/TSP.2016.2544748
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider mean squared estimation with lookahead of a continuous-time signal corrupted by additive white Gaussian noise. We show that the mutual information rate function, i.e., the mutual information rate as function of the signal-to-noise ratio (SNR), does not, in general, determine the minimum mean squared error...
[ { "created": "Fri, 8 Feb 2013 22:33:26 GMT", "version": "v1" } ]
2016-11-18
[ [ "Venkat", "Kartik", "" ], [ "Weissman", "Tsachy", "" ], [ "Carmon", "Yair", "" ], [ "Shamai", "Shlomo", "" ] ]
We consider mean squared estimation with lookahead of a continuous-time signal corrupted by additive white Gaussian noise. We show that the mutual information rate function, i.e., the mutual information rate as function of the signal-to-noise ratio (SNR), does not, in general, determine the minimum mean squared error (...
2101.12584
Yakup Kutlu
Yakup Kutlu, Z\"ulf\"u Alanoglu, Ahmet G\"ok\c{c}en, Mustafa Yeniad
Raspberry Pi Based Intelligent Robot that Recognizes and Places Puzzle Objects
5 pages, in Turkish language, 8 figures, journal of intelligent systems with applications
null
null
null
cs.RO cs.AI
http://creativecommons.org/licenses/by/4.0/
In this study; in order to diagnose congestive heart failure (CHF) patients, non-linear secondorder difference plot (SODP) obtained from raw 256 Hz sampled frequency and windowed record with different time of ECG records are used. All of the data rows are labelled with their belongings to classify much more realistic...
[ { "created": "Wed, 20 Jan 2021 18:58:59 GMT", "version": "v1" } ]
2021-02-01
[ [ "Kutlu", "Yakup", "" ], [ "Alanoglu", "Zülfü", "" ], [ "Gökçen", "Ahmet", "" ], [ "Yeniad", "Mustafa", "" ] ]
In this study; in order to diagnose congestive heart failure (CHF) patients, non-linear secondorder difference plot (SODP) obtained from raw 256 Hz sampled frequency and windowed record with different time of ECG records are used. All of the data rows are labelled with their belongings to classify much more realistical...
2209.02851
Deepthi Raghunandan
Deepthi Raghunandan, Aayushi Roy, Shenzhi Shi, Niklas Elmqvist, and Leilani Battle
Code Code Evolution: Understanding How People Change Data Science Notebooks Over Time
null
null
null
null
cs.HC
http://creativecommons.org/licenses/by/4.0/
Sensemaking is the iterative process of identifying, extracting, and explaining insights from data, where each iteration is referred to as the "sensemaking loop." Although recent work observes snapshots of the sensemaking loop within computational notebooks, none measure shifts in sensemaking behaviors over time -- b...
[ { "created": "Tue, 6 Sep 2022 23:24:24 GMT", "version": "v1" }, { "created": "Thu, 8 Sep 2022 14:07:16 GMT", "version": "v2" } ]
2022-09-09
[ [ "Raghunandan", "Deepthi", "" ], [ "Roy", "Aayushi", "" ], [ "Shi", "Shenzhi", "" ], [ "Elmqvist", "Niklas", "" ], [ "Battle", "Leilani", "" ] ]
Sensemaking is the iterative process of identifying, extracting, and explaining insights from data, where each iteration is referred to as the "sensemaking loop." Although recent work observes snapshots of the sensemaking loop within computational notebooks, none measure shifts in sensemaking behaviors over time -- bet...
1510.00571
Jeff Erickson
Hsien-Chih Chang and Jeff Erickson
Electrical Reduction, Homotopy Moves, and Defect
27 pages, 15 figures
null
null
null
cs.CG math.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We prove the first nontrivial worst-case lower bounds for two closely related problems. First, $\Omega(n^{3/2})$ degree-1 reductions, series-parallel reductions, and $\Delta$Y transformations are required in the worst case to reduce an $n$-vertex plane graph to a single vertex or edge. The lower bound is achieved by ...
[ { "created": "Fri, 2 Oct 2015 12:03:29 GMT", "version": "v1" } ]
2015-10-05
[ [ "Chang", "Hsien-Chih", "" ], [ "Erickson", "Jeff", "" ] ]
We prove the first nontrivial worst-case lower bounds for two closely related problems. First, $\Omega(n^{3/2})$ degree-1 reductions, series-parallel reductions, and $\Delta$Y transformations are required in the worst case to reduce an $n$-vertex plane graph to a single vertex or edge. The lower bound is achieved by an...
2105.12900
Weijia Xu
Weijia Xu, Shuming Ma, Dongdong Zhang, Marine Carpuat
How Does Distilled Data Complexity Impact the Quality and Confidence of Non-Autoregressive Machine Translation?
Findings of ACL 2021
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
While non-autoregressive (NAR) models are showing great promise for machine translation, their use is limited by their dependence on knowledge distillation from autoregressive models. To address this issue, we seek to understand why distillation is so effective. Prior work suggests that distilled training data is les...
[ { "created": "Thu, 27 May 2021 01:19:11 GMT", "version": "v1" } ]
2021-05-28
[ [ "Xu", "Weijia", "" ], [ "Ma", "Shuming", "" ], [ "Zhang", "Dongdong", "" ], [ "Carpuat", "Marine", "" ] ]
While non-autoregressive (NAR) models are showing great promise for machine translation, their use is limited by their dependence on knowledge distillation from autoregressive models. To address this issue, we seek to understand why distillation is so effective. Prior work suggests that distilled training data is less ...
2009.01664
Kai Dresia
Kai Dresia, Simon Jentzsch, G\"unther Waxenegger-Wilfing, Robson Hahn, Jan Deeken, Michael Oschwald, Fabio Mota
Multidisciplinary Design Optimization of Reusable Launch Vehicles for Different Propellants and Objectives
null
null
10.2514/1.A34944
null
cs.NE cs.SY eess.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Identifying the optimal design of a new launch vehicle is most important since design decisions made in the early development phase limit the vehicles' later performance and determines the associated costs. Reusing the first stage via retro-propulsive landing increases the complexity even more. Therefore, we develop ...
[ { "created": "Thu, 3 Sep 2020 13:48:54 GMT", "version": "v1" } ]
2021-02-17
[ [ "Dresia", "Kai", "" ], [ "Jentzsch", "Simon", "" ], [ "Waxenegger-Wilfing", "Günther", "" ], [ "Hahn", "Robson", "" ], [ "Deeken", "Jan", "" ], [ "Oschwald", "Michael", "" ], [ "Mota", "Fabio", "" ] ]
Identifying the optimal design of a new launch vehicle is most important since design decisions made in the early development phase limit the vehicles' later performance and determines the associated costs. Reusing the first stage via retro-propulsive landing increases the complexity even more. Therefore, we develop an...
2308.06378
Mojtaba Yeganejou
Mojtaba Yeganejou, Kimia Honari, Ryan Kluzinski, Scott Dick, Michael Lipsett, James Miller
DCNFIS: Deep Convolutional Neuro-Fuzzy Inference System
null
null
null
null
cs.AI cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A key challenge in eXplainable Artificial Intelligence is the well-known tradeoff between the transparency of an algorithm (i.e., how easily a human can directly understand the algorithm, as opposed to receiving a post-hoc explanation), and its accuracy. We report on the design of a new deep network that achieves imp...
[ { "created": "Fri, 11 Aug 2023 20:32:39 GMT", "version": "v1" }, { "created": "Fri, 15 Sep 2023 17:20:48 GMT", "version": "v2" }, { "created": "Sun, 17 Mar 2024 14:10:15 GMT", "version": "v3" } ]
2024-03-19
[ [ "Yeganejou", "Mojtaba", "" ], [ "Honari", "Kimia", "" ], [ "Kluzinski", "Ryan", "" ], [ "Dick", "Scott", "" ], [ "Lipsett", "Michael", "" ], [ "Miller", "James", "" ] ]
A key challenge in eXplainable Artificial Intelligence is the well-known tradeoff between the transparency of an algorithm (i.e., how easily a human can directly understand the algorithm, as opposed to receiving a post-hoc explanation), and its accuracy. We report on the design of a new deep network that achieves impro...
cs/0601124
Onur Kaya
Onur Kaya and Sennur Ulukus
Power Control for User Cooperation
Submitted to IEEE Transactions on Wireless Communications, October 2005
null
null
null
cs.IT math.IT
null
For a fading Gaussian multiple access channel with user cooperation, we obtain the optimal power allocation policies that maximize the rates achievable by block Markov superposition coding. The optimal policies result in a coding scheme that is simpler than the one for a general multiple access channel with generaliz...
[ { "created": "Mon, 30 Jan 2006 12:21:25 GMT", "version": "v1" } ]
2007-07-13
[ [ "Kaya", "Onur", "" ], [ "Ulukus", "Sennur", "" ] ]
For a fading Gaussian multiple access channel with user cooperation, we obtain the optimal power allocation policies that maximize the rates achievable by block Markov superposition coding. The optimal policies result in a coding scheme that is simpler than the one for a general multiple access channel with generalized...
2302.05061
Zhen Wang
Zhen Wang, Peide Zhu, Jie Yang
ControversialQA: Exploring Controversy in Question Answering
null
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Controversy is widespread online. Previous studies mainly define controversy based on vague assumptions of its relation to sentiment such as hate speech and offensive words. This paper introduces the first question-answering dataset that defines content controversy by user perception, i.e., votes from plenty of users...
[ { "created": "Fri, 10 Feb 2023 05:39:29 GMT", "version": "v1" } ]
2023-02-13
[ [ "Wang", "Zhen", "" ], [ "Zhu", "Peide", "" ], [ "Yang", "Jie", "" ] ]
Controversy is widespread online. Previous studies mainly define controversy based on vague assumptions of its relation to sentiment such as hate speech and offensive words. This paper introduces the first question-answering dataset that defines content controversy by user perception, i.e., votes from plenty of users. ...
2110.01794
Yi Sui
Yi Sui, Ga Wu, Scott Sanner
Multi-axis Attentive Prediction for Sparse EventData: An Application to Crime Prediction
null
null
null
null
cs.LG
http://creativecommons.org/licenses/by-nc-sa/4.0/
Spatiotemporal prediction of event data is a challenging task with a long history of research. While recent work in spatiotemporal prediction has leveraged deep sequential models that substantially improve over classical approaches, these models are prone to overfitting when the observation is extremely sparse, as in...
[ { "created": "Tue, 5 Oct 2021 02:38:46 GMT", "version": "v1" } ]
2021-10-06
[ [ "Sui", "Yi", "" ], [ "Wu", "Ga", "" ], [ "Sanner", "Scott", "" ] ]
Spatiotemporal prediction of event data is a challenging task with a long history of research. While recent work in spatiotemporal prediction has leveraged deep sequential models that substantially improve over classical approaches, these models are prone to overfitting when the observation is extremely sparse, as in t...
1907.08456
Frederik Kratzert
Frederik Kratzert, Daniel Klotz, Guy Shalev, G\"unter Klambauer, Sepp Hochreiter, Grey Nearing
Towards Learning Universal, Regional, and Local Hydrological Behaviors via Machine-Learning Applied to Large-Sample Datasets
null
null
null
null
cs.LG stat.ML
http://creativecommons.org/licenses/by/4.0/
Regional rainfall-runoff modeling is an old but still mostly out-standing problem in Hydrological Sciences. The problem currently is that traditional hydrological models degrade significantly in performance when calibrated for multiple basins together instead of for a single basin alone. In this paper, we propose a n...
[ { "created": "Fri, 19 Jul 2019 10:52:12 GMT", "version": "v1" }, { "created": "Sun, 10 Nov 2019 15:03:52 GMT", "version": "v2" } ]
2019-11-12
[ [ "Kratzert", "Frederik", "" ], [ "Klotz", "Daniel", "" ], [ "Shalev", "Guy", "" ], [ "Klambauer", "Günter", "" ], [ "Hochreiter", "Sepp", "" ], [ "Nearing", "Grey", "" ] ]
Regional rainfall-runoff modeling is an old but still mostly out-standing problem in Hydrological Sciences. The problem currently is that traditional hydrological models degrade significantly in performance when calibrated for multiple basins together instead of for a single basin alone. In this paper, we propose a nov...
2407.00389
Yuan-Gen Wang
Chao Zhou, Xiaowen Shi and Yuan-Gen Wang
Query-Efficient Hard-Label Black-Box Attack against Vision Transformers
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent studies have revealed that vision transformers (ViTs) face similar security risks from adversarial attacks as deep convolutional neural networks (CNNs). However, directly applying attack methodology on CNNs to ViTs has been demonstrated to be ineffective since the ViTs typically work on patch-wise encoding. Th...
[ { "created": "Sat, 29 Jun 2024 10:09:12 GMT", "version": "v1" } ]
2024-07-02
[ [ "Zhou", "Chao", "" ], [ "Shi", "Xiaowen", "" ], [ "Wang", "Yuan-Gen", "" ] ]
Recent studies have revealed that vision transformers (ViTs) face similar security risks from adversarial attacks as deep convolutional neural networks (CNNs). However, directly applying attack methodology on CNNs to ViTs has been demonstrated to be ineffective since the ViTs typically work on patch-wise encoding. This...
2306.04950
Jun Zhao
Jun Zhao, Xin Zhao, Wenyu Zhan, Qi Zhang, Tao Gui, Zhongyu Wei, Yunwen Chen, Xiang Gao, Xuanjing Huang
Open Set Relation Extraction via Unknown-Aware Training
Accepted by ACL2023
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The existing supervised relation extraction methods have achieved impressive performance in a closed-set setting, where the relations during both training and testing remain the same. In a more realistic open-set setting, unknown relations may appear in the test set. Due to the lack of supervision signals from unknow...
[ { "created": "Thu, 8 Jun 2023 05:45:25 GMT", "version": "v1" } ]
2023-06-09
[ [ "Zhao", "Jun", "" ], [ "Zhao", "Xin", "" ], [ "Zhan", "Wenyu", "" ], [ "Zhang", "Qi", "" ], [ "Gui", "Tao", "" ], [ "Wei", "Zhongyu", "" ], [ "Chen", "Yunwen", "" ], [ "Gao", "Xiang", "" ]...
The existing supervised relation extraction methods have achieved impressive performance in a closed-set setting, where the relations during both training and testing remain the same. In a more realistic open-set setting, unknown relations may appear in the test set. Due to the lack of supervision signals from unknown ...
2408.05097
Paolo Mandica
Paolo Mandica, Luca Franco, Konstantinos Kallidromitis, Suzanne Petryk, Fabio Galasso
Hyperbolic Learning with Multimodal Large Language Models
ECCV 2024 - Beyond Euclidean Workshop
null
null
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Hyperbolic embeddings have demonstrated their effectiveness in capturing measures of uncertainty and hierarchical relationships across various deep-learning tasks, including image segmentation and active learning. However, their application in modern vision-language models (VLMs) has been limited. A notable exception...
[ { "created": "Fri, 9 Aug 2024 14:39:15 GMT", "version": "v1" } ]
2024-08-12
[ [ "Mandica", "Paolo", "" ], [ "Franco", "Luca", "" ], [ "Kallidromitis", "Konstantinos", "" ], [ "Petryk", "Suzanne", "" ], [ "Galasso", "Fabio", "" ] ]
Hyperbolic embeddings have demonstrated their effectiveness in capturing measures of uncertainty and hierarchical relationships across various deep-learning tasks, including image segmentation and active learning. However, their application in modern vision-language models (VLMs) has been limited. A notable exception i...
2301.02359
Jinming Zhuang
Jinming Zhuang, Jason Lau, Hanchen Ye, Zhuoping Yang, Yubo Du, Jack Lo, Kristof Denolf, Stephen Neuendorffer, Alex Jones, Jingtong Hu, Deming Chen, Jason Cong, Peipei Zhou
CHARM: Composing Heterogeneous Accelerators for Matrix Multiply on Versal ACAP Architecture
null
null
null
null
cs.AR
http://creativecommons.org/licenses/by-nc-sa/4.0/
Dense matrix multiply (MM) serves as one of the most heavily used kernels in deep learning applications. To cope with the high computation demands of these applications, heterogeneous architectures featuring both FPGA and dedicated ASIC accelerators have emerged as promising platforms. For example, the AMD/Xilinx Ver...
[ { "created": "Fri, 6 Jan 2023 02:05:54 GMT", "version": "v1" } ]
2023-01-09
[ [ "Zhuang", "Jinming", "" ], [ "Lau", "Jason", "" ], [ "Ye", "Hanchen", "" ], [ "Yang", "Zhuoping", "" ], [ "Du", "Yubo", "" ], [ "Lo", "Jack", "" ], [ "Denolf", "Kristof", "" ], [ "Neuendorffer", ...
Dense matrix multiply (MM) serves as one of the most heavily used kernels in deep learning applications. To cope with the high computation demands of these applications, heterogeneous architectures featuring both FPGA and dedicated ASIC accelerators have emerged as promising platforms. For example, the AMD/Xilinx Versa...
2010.09464
Vanja Dosko\v{c}
Vanja Dosko\v{c} and Timo K\"otzing
Mapping Monotonic Restrictions in Inductive Inference
null
null
null
null
cs.LG cs.FL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In language learning in the limit we investigate computable devices (learners) learning formal languages. Through the years, many natural restrictions have been imposed on the studied learners. As such, monotonic restrictions always enjoyed particular attention as, although being a natural requirement, monotonic lear...
[ { "created": "Thu, 15 Oct 2020 08:54:30 GMT", "version": "v1" } ]
2020-10-20
[ [ "Doskoč", "Vanja", "" ], [ "Kötzing", "Timo", "" ] ]
In language learning in the limit we investigate computable devices (learners) learning formal languages. Through the years, many natural restrictions have been imposed on the studied learners. As such, monotonic restrictions always enjoyed particular attention as, although being a natural requirement, monotonic learne...
1901.11211
Weiwen Jiang
Weiwen Jiang, Xinyi Zhang, Edwin H.-M. Sha, Lei Yang, Qingfeng Zhuge, Yiyu Shi, Jingtong Hu
Accuracy vs. Efficiency: Achieving Both through FPGA-Implementation Aware Neural Architecture Search
6 pages, 8 figures, 1 table, accepted by DAC
null
null
null
cs.DC cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A fundamental question lies in almost every application of deep neural networks: what is the optimal neural architecture given a specific dataset? Recently, several Neural Architecture Search (NAS) frameworks have been developed that use reinforcement learning and evolutionary algorithm to search for the solution. Ho...
[ { "created": "Thu, 31 Jan 2019 04:57:16 GMT", "version": "v1" } ]
2019-02-04
[ [ "Jiang", "Weiwen", "" ], [ "Zhang", "Xinyi", "" ], [ "Sha", "Edwin H. -M.", "" ], [ "Yang", "Lei", "" ], [ "Zhuge", "Qingfeng", "" ], [ "Shi", "Yiyu", "" ], [ "Hu", "Jingtong", "" ] ]
A fundamental question lies in almost every application of deep neural networks: what is the optimal neural architecture given a specific dataset? Recently, several Neural Architecture Search (NAS) frameworks have been developed that use reinforcement learning and evolutionary algorithm to search for the solution. Howe...
2311.12755
Carine Rebello
Carine Menezes Rebello, Johannes J\"aschkea, and Idelfonso B. R. Nogueira
Digital Twin Framework for Optimal and Autonomous Decision-Making in Cyber-Physical Systems: Enhancing Reliability and Adaptability in the Oil and Gas Industry
null
null
null
null
cs.AI
http://creativecommons.org/licenses/by/4.0/
The concept of creating a virtual copy of a complete Cyber-Physical System opens up numerous possibilities, including real-time assessments of the physical environment and continuous learning from the system to provide reliable and precise information. This process, known as the twinning process or the development of...
[ { "created": "Tue, 21 Nov 2023 18:02:52 GMT", "version": "v1" } ]
2023-11-22
[ [ "Rebello", "Carine Menezes", "" ], [ "Jäschkea", "Johannes", "" ], [ "Nogueira", "Idelfonso B. R.", "" ] ]
The concept of creating a virtual copy of a complete Cyber-Physical System opens up numerous possibilities, including real-time assessments of the physical environment and continuous learning from the system to provide reliable and precise information. This process, known as the twinning process or the development of a...
2011.03909
Filipp Skomorokhov
Filipp Skomorokhov (1 and 2) and George Ovchinnikov (2) ((1) Moscow Institute of Physics and Technology, (2) Skolkovo Institute of Science and Technology)
Reinforcement Learning for Assignment problem
null
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper is dedicated to the application of reinforcement learning combined with neural networks to the general formulation of user scheduling problem. Our simulator resembles real world problems by means of stochastic changes in environment. We applied Q-learning based method to the number of dynamic simulations a...
[ { "created": "Sun, 8 Nov 2020 06:25:50 GMT", "version": "v1" } ]
2020-11-10
[ [ "Skomorokhov", "Filipp", "", "1 and 2" ], [ "Ovchinnikov", "George", "" ] ]
This paper is dedicated to the application of reinforcement learning combined with neural networks to the general formulation of user scheduling problem. Our simulator resembles real world problems by means of stochastic changes in environment. We applied Q-learning based method to the number of dynamic simulations and...
2403.17883
Liang Chao
Chao Liang, Jianwen Jiang, Tianyun Zhong, Gaojie Lin, Zhengkun Rong, Jiaqi Yang, Yongming Zhu
Superior and Pragmatic Talking Face Generation with Teacher-Student Framework
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Talking face generation technology creates talking videos from arbitrary appearance and motion signal, with the "arbitrary" offering ease of use but also introducing challenges in practical applications. Existing methods work well with standard inputs but suffer serious performance degradation with intricate real-wor...
[ { "created": "Tue, 26 Mar 2024 17:13:17 GMT", "version": "v1" } ]
2024-03-27
[ [ "Liang", "Chao", "" ], [ "Jiang", "Jianwen", "" ], [ "Zhong", "Tianyun", "" ], [ "Lin", "Gaojie", "" ], [ "Rong", "Zhengkun", "" ], [ "Yang", "Jiaqi", "" ], [ "Zhu", "Yongming", "" ] ]
Talking face generation technology creates talking videos from arbitrary appearance and motion signal, with the "arbitrary" offering ease of use but also introducing challenges in practical applications. Existing methods work well with standard inputs but suffer serious performance degradation with intricate real-world...
0912.3980
William Jackson
Jamal A. Hussein, Mumtaz A. AlMukhtar
Fair Exchange of Digital Signatures using RSA-based CEMBS and Offline STTP
null
Journal of Computing, Volume 1, Issue 1, pp 87-91, December 2009
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
One of the essential security services needed to safeguard online transactions is fair exchange. In fair exchange protocols two parties can exchange their signatures in a fair manner, so that either each party gain the other's signature or no one obtain anything useful. This paper examines security solutions for achi...
[ { "created": "Sun, 20 Dec 2009 05:15:22 GMT", "version": "v1" } ]
2009-12-22
[ [ "Hussein", "Jamal A.", "" ], [ "AlMukhtar", "Mumtaz A.", "" ] ]
One of the essential security services needed to safeguard online transactions is fair exchange. In fair exchange protocols two parties can exchange their signatures in a fair manner, so that either each party gain the other's signature or no one obtain anything useful. This paper examines security solutions for achiev...
1311.5018
Teodor Cioaca
Teodor Cioaca and Horea Caramizaru
On the impact of explicit or semi-implicit integration methods over the stability of real-time numerical simulations
Submitted to the ROMAI Journal of Applied Mathematics. Presented at the CAIM 2013 Conference on Applied and Industrial Mathematics
null
null
null
cs.GR
http://creativecommons.org/licenses/by-nc-sa/3.0/
Physics-based animation of soft or rigid bodies for real-time applications often suffers from numerical instabilities. We analyse one of the most common sources of unwanted behaviour: the numerical integration strategy. To assess the impact of popular integration methods, we consider a scenario where soft and hard co...
[ { "created": "Wed, 20 Nov 2013 11:30:03 GMT", "version": "v1" } ]
2013-11-21
[ [ "Cioaca", "Teodor", "" ], [ "Caramizaru", "Horea", "" ] ]
Physics-based animation of soft or rigid bodies for real-time applications often suffers from numerical instabilities. We analyse one of the most common sources of unwanted behaviour: the numerical integration strategy. To assess the impact of popular integration methods, we consider a scenario where soft and hard cons...
2301.11509
Jose Antonio Lara Benitez
J. Antonio Lara Benitez, Takashi Furuya, Florian Faucher, Anastasis Kratsios, Xavier Tricoche, Maarten V. de Hoop
Out-of-distributional risk bounds for neural operators with applications to the Helmholtz equation
null
null
null
null
cs.LG cs.NA math.NA stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Despite their remarkable success in approximating a wide range of operators defined by PDEs, existing neural operators (NOs) do not necessarily perform well for all physics problems. We focus here on high-frequency waves to highlight possible shortcomings. To resolve these, we propose a subfamily of NOs enabling an e...
[ { "created": "Fri, 27 Jan 2023 03:02:12 GMT", "version": "v1" }, { "created": "Wed, 19 Apr 2023 03:06:03 GMT", "version": "v2" }, { "created": "Tue, 4 Jul 2023 22:42:47 GMT", "version": "v3" } ]
2023-07-06
[ [ "Benitez", "J. Antonio Lara", "" ], [ "Furuya", "Takashi", "" ], [ "Faucher", "Florian", "" ], [ "Kratsios", "Anastasis", "" ], [ "Tricoche", "Xavier", "" ], [ "de Hoop", "Maarten V.", "" ] ]
Despite their remarkable success in approximating a wide range of operators defined by PDEs, existing neural operators (NOs) do not necessarily perform well for all physics problems. We focus here on high-frequency waves to highlight possible shortcomings. To resolve these, we propose a subfamily of NOs enabling an enh...
2305.00350
Korawat Tanwisuth
Korawat Tanwisuth, Shujian Zhang, Huangjie Zheng, Pengcheng He, Mingyuan Zhou
POUF: Prompt-oriented unsupervised fine-tuning for large pre-trained models
ICML 2023; PyTorch code is available at https://github.com/korawat-tanwisuth/POUF
null
null
null
cs.LG cs.AI cs.CL cs.CV stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Through prompting, large-scale pre-trained models have become more expressive and powerful, gaining significant attention in recent years. Though these big models have zero-shot capabilities, in general, labeled data are still required to adapt them to downstream tasks. To overcome this critical limitation, we propos...
[ { "created": "Sat, 29 Apr 2023 22:05:22 GMT", "version": "v1" } ]
2023-05-02
[ [ "Tanwisuth", "Korawat", "" ], [ "Zhang", "Shujian", "" ], [ "Zheng", "Huangjie", "" ], [ "He", "Pengcheng", "" ], [ "Zhou", "Mingyuan", "" ] ]
Through prompting, large-scale pre-trained models have become more expressive and powerful, gaining significant attention in recent years. Though these big models have zero-shot capabilities, in general, labeled data are still required to adapt them to downstream tasks. To overcome this critical limitation, we propose ...
1504.03213
Paolo Di Francesco
Paolo Di Francesco, Francesco Malandrino, Tim K. Forde, Luiz A. DaSilva
A Sharing- and Competition-Aware Framework for Cellular Network Evolution Planning
null
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Mobile network operators are facing the difficult task of significantly increasing capacity to meet projected demand while keeping CAPEX and OPEX down. We argue that infrastructure sharing is a key consideration in operators' planning of the evolution of their networks, and that such planning can be viewed as a stage...
[ { "created": "Mon, 13 Apr 2015 15:19:48 GMT", "version": "v1" } ]
2015-04-14
[ [ "Di Francesco", "Paolo", "" ], [ "Malandrino", "Francesco", "" ], [ "Forde", "Tim K.", "" ], [ "DaSilva", "Luiz A.", "" ] ]
Mobile network operators are facing the difficult task of significantly increasing capacity to meet projected demand while keeping CAPEX and OPEX down. We argue that infrastructure sharing is a key consideration in operators' planning of the evolution of their networks, and that such planning can be viewed as a stage i...
1708.08142
Rodrigo de Lamare
R. C. de Lamare and Andr\'e Flores
Study of Set-Membership Kernel Adaptive Algorithms and Applications
4 figures, 6 pages
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Adaptive algorithms based on kernel structures have been a topic of significant research over the past few years. The main advantage is that they form a family of universal approximators, offering an elegant solution to problems with nonlinearities. Nevertheless these methods deal with kernel expansions, creating a g...
[ { "created": "Sun, 27 Aug 2017 21:41:48 GMT", "version": "v1" } ]
2017-08-29
[ [ "de Lamare", "R. C.", "" ], [ "Flores", "André", "" ] ]
Adaptive algorithms based on kernel structures have been a topic of significant research over the past few years. The main advantage is that they form a family of universal approximators, offering an elegant solution to problems with nonlinearities. Nevertheless these methods deal with kernel expansions, creating a gro...
2007.10144
Guy Aridor
Guy Aridor and Yishay Mansour and Aleksandrs Slivkins and Zhiwei Steven Wu
Competing Bandits: The Perils of Exploration Under Competition
merged and extended version of arXiv:1702.08533 and arXiv:1902.05590
null
null
null
cs.GT cs.LG econ.TH
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Most online platforms strive to learn from interactions with users, and many engage in exploration: making potentially suboptimal choices for the sake of acquiring new information. We study the interplay between exploration and competition: how such platforms balance the exploration for learning and the competition f...
[ { "created": "Mon, 20 Jul 2020 14:19:08 GMT", "version": "v1" }, { "created": "Tue, 29 Sep 2020 13:07:42 GMT", "version": "v2" }, { "created": "Tue, 22 Dec 2020 14:59:25 GMT", "version": "v3" }, { "created": "Tue, 2 Mar 2021 21:00:18 GMT", "version": "v4" }, { "cr...
2022-12-06
[ [ "Aridor", "Guy", "" ], [ "Mansour", "Yishay", "" ], [ "Slivkins", "Aleksandrs", "" ], [ "Wu", "Zhiwei Steven", "" ] ]
Most online platforms strive to learn from interactions with users, and many engage in exploration: making potentially suboptimal choices for the sake of acquiring new information. We study the interplay between exploration and competition: how such platforms balance the exploration for learning and the competition for...
1407.7072
Seungyeon Kim
Seungyeon Kim, Haesun Park, Guy Lebanon
Fast Spammer Detection Using Structural Rank
8 pages, 1 figure
null
null
null
cs.IR cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Comments for a product or a news article are rapidly growing and became a medium of measuring quality products or services. Consequently, spammers have been emerged in this area to bias them toward their favor. In this paper, we propose an efficient spammer detection method using structural rank of author specific te...
[ { "created": "Fri, 25 Jul 2014 22:33:49 GMT", "version": "v1" } ]
2014-07-29
[ [ "Kim", "Seungyeon", "" ], [ "Park", "Haesun", "" ], [ "Lebanon", "Guy", "" ] ]
Comments for a product or a news article are rapidly growing and became a medium of measuring quality products or services. Consequently, spammers have been emerged in this area to bias them toward their favor. In this paper, we propose an efficient spammer detection method using structural rank of author specific term...
1808.00143
Rodrigo de Lamare
R. M. Oliveira and R. C. de Lamare
Study of Polarization-Driven Shortening for Polar Codes Designed with the Gaussian Approximation
5 pages, 3 figures
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents a polarization-driven (PD) shortening technique for the design of rate-compatible polar codes. The proposed shortening strategy consists of reducing the generator matrix by relating its row index with the channel polarization index. We assume that the shortened bits are known by both the encoder a...
[ { "created": "Wed, 1 Aug 2018 02:34:45 GMT", "version": "v1" } ]
2018-08-02
[ [ "Oliveira", "R. M.", "" ], [ "de Lamare", "R. C.", "" ] ]
This paper presents a polarization-driven (PD) shortening technique for the design of rate-compatible polar codes. The proposed shortening strategy consists of reducing the generator matrix by relating its row index with the channel polarization index. We assume that the shortened bits are known by both the encoder and...
2303.13558
Yu Dong
Yu Dong, Jie Liang, Longbing Cao, Daniel Catchpoole
ClinicLens: Visual Analytics for Exploring and Optimizing the Testing Capacity of Clinics given Uncertainty
null
null
null
null
cs.HC cs.GR
http://creativecommons.org/licenses/by/4.0/
Clinic testing plays a critical role in containing infectious diseases such as COVID-19. However, one of the key research questions in fighting such pandemics is how to optimize testing capacities across clinics. In particular, domain experts expect to know exactly how to adjust the features that may affect testing c...
[ { "created": "Thu, 23 Mar 2023 01:34:56 GMT", "version": "v1" }, { "created": "Tue, 28 Mar 2023 06:11:53 GMT", "version": "v2" } ]
2023-03-29
[ [ "Dong", "Yu", "" ], [ "Liang", "Jie", "" ], [ "Cao", "Longbing", "" ], [ "Catchpoole", "Daniel", "" ] ]
Clinic testing plays a critical role in containing infectious diseases such as COVID-19. However, one of the key research questions in fighting such pandemics is how to optimize testing capacities across clinics. In particular, domain experts expect to know exactly how to adjust the features that may affect testing cap...
1808.00356
Yongsung Kim
Yongsung Kim, Adam Fourney, Ece Kamar
Studying Preferences and Concerns about Information Disclosure in Email Notifications
null
null
null
null
cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The proliferation of network-connected devices and applications has resulted in people receiving dozens, or hundreds, of notifications per day. When people are in the presence of others, each notification poses some risk of accidental information disclosure; onlookers may see notifications appear above the lock scree...
[ { "created": "Wed, 1 Aug 2018 15:07:14 GMT", "version": "v1" } ]
2018-08-02
[ [ "Kim", "Yongsung", "" ], [ "Fourney", "Adam", "" ], [ "Kamar", "Ece", "" ] ]
The proliferation of network-connected devices and applications has resulted in people receiving dozens, or hundreds, of notifications per day. When people are in the presence of others, each notification poses some risk of accidental information disclosure; onlookers may see notifications appear above the lock screen ...
1805.01325
Li Zhang
Li Zhang
Choice revision on belief bases
null
null
null
null
cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this contribution we explore choice revision, a sort of belief change in which the new information is represented by a set of sentences and the agent could accept some of the sentences while rejecting the others. We propose a generalized version of expansion operation called partial expansion for developing models...
[ { "created": "Thu, 3 May 2018 14:30:20 GMT", "version": "v1" } ]
2018-05-04
[ [ "Zhang", "Li", "" ] ]
In this contribution we explore choice revision, a sort of belief change in which the new information is represented by a set of sentences and the agent could accept some of the sentences while rejecting the others. We propose a generalized version of expansion operation called partial expansion for developing models o...
1712.07861
Pierre Hauweele
Gauvain Devillez, Pierre Hauweele, Hadrien M\'elot
PHOEG Helps Obtaining Extremal Graphs
6 pages, 9 figures, 1 table, technical paper
null
null
null
cs.DM math.CO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Extremal Graph Theory aims to determine bounds for graph invariants as well as the graphs attaining those bounds. We are currently developping PHOEG, an ecosystem of tools designed to help researchers in Extremal Graph Theory. It uses a big relational database of undirected graphs and works with the convex hull o...
[ { "created": "Thu, 21 Dec 2017 10:31:46 GMT", "version": "v1" } ]
2017-12-22
[ [ "Devillez", "Gauvain", "" ], [ "Hauweele", "Pierre", "" ], [ "Mélot", "Hadrien", "" ] ]
Extremal Graph Theory aims to determine bounds for graph invariants as well as the graphs attaining those bounds. We are currently developping PHOEG, an ecosystem of tools designed to help researchers in Extremal Graph Theory. It uses a big relational database of undirected graphs and works with the convex hull of the ...
2405.01803
Geyu Huang
Xin Tan, Yan Gong, Geyu Huang, Haohua Wu, Li Zhang
How to Gain Commit Rights in Modern Top Open Source Communities?
23 pages,5 figures,FSE 2024
Proceedings of the ACM on Software Engineering (PACMSE) Issue FSE 2024
10.1145/3660784
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The success of open source software (OSS) projects relies on voluntary contributions from various community roles.Being a committer signifies gaining trust and higher privileges. Substantial studies have focused on the requirements of becoming a committer, but most of them are based on interviews or several hypothese...
[ { "created": "Fri, 3 May 2024 01:23:06 GMT", "version": "v1" }, { "created": "Mon, 6 May 2024 06:31:21 GMT", "version": "v2" }, { "created": "Thu, 16 May 2024 10:16:20 GMT", "version": "v3" } ]
2024-05-17
[ [ "Tan", "Xin", "" ], [ "Gong", "Yan", "" ], [ "Huang", "Geyu", "" ], [ "Wu", "Haohua", "" ], [ "Zhang", "Li", "" ] ]
The success of open source software (OSS) projects relies on voluntary contributions from various community roles.Being a committer signifies gaining trust and higher privileges. Substantial studies have focused on the requirements of becoming a committer, but most of them are based on interviews or several hypotheses,...
2209.04800
Fouad Sukkar
Fouad Sukkar, Jennifer Wakulicz, Ki Myung Brian Lee, Weiming Zhi, and Robert Fitch
Multi-query Robotic Manipulator Task Sequencing with Gromov-Hausdorff Approximations
Submitted to IEEE Transactions on Robotics (TRO). 15 Pages. 13 Figures
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Robotic manipulator applications often require efficient online motion planning. When completing multiple tasks, sequence order and choice of goal configuration can have a drastic impact on planning performance. This is well known as the robot task sequencing problem (RTSP). Existing general purpose RTSP algorithms a...
[ { "created": "Sun, 11 Sep 2022 06:31:55 GMT", "version": "v1" }, { "created": "Mon, 22 Jul 2024 14:34:53 GMT", "version": "v2" } ]
2024-07-23
[ [ "Sukkar", "Fouad", "" ], [ "Wakulicz", "Jennifer", "" ], [ "Lee", "Ki Myung Brian", "" ], [ "Zhi", "Weiming", "" ], [ "Fitch", "Robert", "" ] ]
Robotic manipulator applications often require efficient online motion planning. When completing multiple tasks, sequence order and choice of goal configuration can have a drastic impact on planning performance. This is well known as the robot task sequencing problem (RTSP). Existing general purpose RTSP algorithms are...
2110.11414
Alice Ruget
Alice Ruget, Max Tyler, Germ\'an Mora Mart\'in, Stirling Scholes, Feng Zhu, Istvan Gyongy, Brent Hearn, Steve McLaughlin, Abderrahim Halimi, Jonathan Leach
Real-time, low-cost multi-person 3D pose estimation
null
null
10.17861/e85a6eae-13f9-4bcd-9dff-73f8107c09a2
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
The process of tracking human anatomy in computer vision is referred to pose estimation, and it is used in fields ranging from gaming to surveillance. Three-dimensional pose estimation traditionally requires advanced equipment, such as multiple linked intensity cameras or high-resolution time-of-flight cameras to pro...
[ { "created": "Mon, 11 Oct 2021 12:42:00 GMT", "version": "v1" }, { "created": "Fri, 19 Aug 2022 10:56:07 GMT", "version": "v2" }, { "created": "Wed, 24 Aug 2022 14:57:58 GMT", "version": "v3" } ]
2022-08-25
[ [ "Ruget", "Alice", "" ], [ "Tyler", "Max", "" ], [ "Martín", "Germán Mora", "" ], [ "Scholes", "Stirling", "" ], [ "Zhu", "Feng", "" ], [ "Gyongy", "Istvan", "" ], [ "Hearn", "Brent", "" ], [ "McLaug...
The process of tracking human anatomy in computer vision is referred to pose estimation, and it is used in fields ranging from gaming to surveillance. Three-dimensional pose estimation traditionally requires advanced equipment, such as multiple linked intensity cameras or high-resolution time-of-flight cameras to produ...
2405.16542
Yang Cao
Yang Cao, and Wei Zhang
Mamba4KT:An Efficient and Effective Mamba-based Knowledge Tracing Model
null
null
null
null
cs.AI cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Knowledge tracing (KT) enhances student learning by leveraging past performance to predict future performance. Current research utilizes models based on attention mechanisms and recurrent neural network structures to capture long-term dependencies and correlations between exercises, aiming to improve model accuracy. ...
[ { "created": "Sun, 26 May 2024 12:26:03 GMT", "version": "v1" } ]
2024-05-28
[ [ "Cao", "Yang", "" ], [ "Zhang", "Wei", "" ] ]
Knowledge tracing (KT) enhances student learning by leveraging past performance to predict future performance. Current research utilizes models based on attention mechanisms and recurrent neural network structures to capture long-term dependencies and correlations between exercises, aiming to improve model accuracy. Du...
2304.02737
Melissa Dell
Jacob Carlson and Tom Bryan and Melissa Dell
Efficient OCR for Building a Diverse Digital History
null
null
null
null
cs.CV cs.DL econ.GN q-fin.EC
http://creativecommons.org/licenses/by/4.0/
Thousands of users consult digital archives daily, but the information they can access is unrepresentative of the diversity of documentary history. The sequence-to-sequence architecture typically used for optical character recognition (OCR) - which jointly learns a vision and language model - is poorly extensible to ...
[ { "created": "Wed, 5 Apr 2023 20:36:04 GMT", "version": "v1" }, { "created": "Thu, 25 Jul 2024 20:49:45 GMT", "version": "v2" } ]
2024-07-29
[ [ "Carlson", "Jacob", "" ], [ "Bryan", "Tom", "" ], [ "Dell", "Melissa", "" ] ]
Thousands of users consult digital archives daily, but the information they can access is unrepresentative of the diversity of documentary history. The sequence-to-sequence architecture typically used for optical character recognition (OCR) - which jointly learns a vision and language model - is poorly extensible to lo...
2112.00708
Wei Ren
Wei Ren, Eleftherios Vlahakis, Nikolaos Athanasopoulos and Raphael Jungers
Optimal Resource Scheduling and Allocation in Distributed Computing Systems
This work has been submitted to ACC2022
null
null
null
cs.DC
http://creativecommons.org/licenses/by/4.0/
The essence of distributed computing systems is how to schedule incoming requests and how to allocate all computing nodes to minimize both time and computation costs. In this paper, we propose a cost-aware optimal scheduling and allocation strategy for distributed computing systems while minimizing the cost function ...
[ { "created": "Fri, 15 Oct 2021 11:45:32 GMT", "version": "v1" } ]
2021-12-02
[ [ "Ren", "Wei", "" ], [ "Vlahakis", "Eleftherios", "" ], [ "Athanasopoulos", "Nikolaos", "" ], [ "Jungers", "Raphael", "" ] ]
The essence of distributed computing systems is how to schedule incoming requests and how to allocate all computing nodes to minimize both time and computation costs. In this paper, we propose a cost-aware optimal scheduling and allocation strategy for distributed computing systems while minimizing the cost function in...
2202.13328
Idan Amir
Idan Amir, Roi Livni, Nathan Srebro
Thinking Outside the Ball: Optimal Learning with Gradient Descent for Generalized Linear Stochastic Convex Optimization
null
null
null
null
cs.LG math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider linear prediction with a convex Lipschitz loss, or more generally, stochastic convex optimization problems of generalized linear form, i.e.~where each instantaneous loss is a scalar convex function of a linear function. We show that in this setting, early stopped Gradient Descent (GD), without any explici...
[ { "created": "Sun, 27 Feb 2022 09:41:43 GMT", "version": "v1" }, { "created": "Sun, 30 Oct 2022 13:16:36 GMT", "version": "v2" } ]
2022-11-01
[ [ "Amir", "Idan", "" ], [ "Livni", "Roi", "" ], [ "Srebro", "Nathan", "" ] ]
We consider linear prediction with a convex Lipschitz loss, or more generally, stochastic convex optimization problems of generalized linear form, i.e.~where each instantaneous loss is a scalar convex function of a linear function. We show that in this setting, early stopped Gradient Descent (GD), without any explicit ...
2202.02131
Konstantina Nikita S
Panagiota Karatza, Kalliopi V. Dalakleidi, Maria Athanasiou, Konstantina S. Nikita
Interpretability methods of machine learning algorithms with applications in breast cancer diagnosis
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
null
10.1109/EMBC46164.2021.9630556
null
cs.LG cs.AI physics.med-ph
http://creativecommons.org/licenses/by/4.0/
Early detection of breast cancer is a powerful tool towards decreasing its socioeconomic burden. Although, artificial intelligence (AI) methods have shown remarkable results towards this goal, their "black box" nature hinders their wide adoption in clinical practice. To address the need for AI guided breast cancer di...
[ { "created": "Fri, 4 Feb 2022 13:41:30 GMT", "version": "v1" } ]
2022-02-07
[ [ "Karatza", "Panagiota", "" ], [ "Dalakleidi", "Kalliopi V.", "" ], [ "Athanasiou", "Maria", "" ], [ "Nikita", "Konstantina S.", "" ] ]
Early detection of breast cancer is a powerful tool towards decreasing its socioeconomic burden. Although, artificial intelligence (AI) methods have shown remarkable results towards this goal, their "black box" nature hinders their wide adoption in clinical practice. To address the need for AI guided breast cancer diag...
2306.02739
Benjamin Alt
Benjamin Alt, Franklin Kenghagho Kenfack, Andrei Haidu, Darko Katic, Rainer J\"akel, Michael Beetz
Knowledge-Driven Robot Program Synthesis from Human VR Demonstrations
10 pages, 11 figures, accepted at the 20th International Conference on Principles of Knowledge Representation and Reasoning (KR2023, https://kr.org/KR2023)
null
null
null
cs.RO cs.AI
http://creativecommons.org/licenses/by-nc-nd/4.0/
Aging societies, labor shortages and increasing wage costs call for assistance robots capable of autonomously performing a wide array of real-world tasks. Such open-ended robotic manipulation requires not only powerful knowledge representations and reasoning (KR&R) algorithms, but also methods for humans to instruct ...
[ { "created": "Mon, 5 Jun 2023 09:37:53 GMT", "version": "v1" }, { "created": "Mon, 3 Jul 2023 08:57:00 GMT", "version": "v2" } ]
2023-07-04
[ [ "Alt", "Benjamin", "" ], [ "Kenfack", "Franklin Kenghagho", "" ], [ "Haidu", "Andrei", "" ], [ "Katic", "Darko", "" ], [ "Jäkel", "Rainer", "" ], [ "Beetz", "Michael", "" ] ]
Aging societies, labor shortages and increasing wage costs call for assistance robots capable of autonomously performing a wide array of real-world tasks. Such open-ended robotic manipulation requires not only powerful knowledge representations and reasoning (KR&R) algorithms, but also methods for humans to instruct ro...
1710.04688
Shadrokh Samavi
Shadrokh Samavi and Mohammad Reza Jahangir
Reduction of Look Up Tables for Computation of Reciprocal of Square Roots
6 pages, 8 figures, 3 tables
null
null
null
cs.NA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Among many existing algorithms, convergence methods are the most popular means of computing square root and the reciprocal of square root of numbers. An initial approximation is required in these methods. Look up tables (LUT) are employed to produce the initial approximation. In this paper a number of methods are sug...
[ { "created": "Thu, 12 Oct 2017 19:00:24 GMT", "version": "v1" } ]
2017-10-16
[ [ "Samavi", "Shadrokh", "" ], [ "Jahangir", "Mohammad Reza", "" ] ]
Among many existing algorithms, convergence methods are the most popular means of computing square root and the reciprocal of square root of numbers. An initial approximation is required in these methods. Look up tables (LUT) are employed to produce the initial approximation. In this paper a number of methods are sugge...
2305.10846
Jesse Heyninck
Jesse Heyninck and Bart Bogaerts
Non-deterministic approximation operators: ultimate operators, semi-equilibrium semantics and aggregates (full version)
Paper presented at the 39th International Conference on Logic Programming (ICLP 2023)
null
null
null
cs.AI cs.LO
http://creativecommons.org/licenses/by/4.0/
Approximation fixpoint theory (AFT) is an abstract and general algebraic framework for studying the semantics of non-monotonic logics. In recent work, AFT was generalized to non-deterministic operators, i.e.\ operators whose range are sets of elements rather than single elements. In this paper, we make three further ...
[ { "created": "Thu, 18 May 2023 09:59:12 GMT", "version": "v1" } ]
2023-05-19
[ [ "Heyninck", "Jesse", "" ], [ "Bogaerts", "Bart", "" ] ]
Approximation fixpoint theory (AFT) is an abstract and general algebraic framework for studying the semantics of non-monotonic logics. In recent work, AFT was generalized to non-deterministic operators, i.e.\ operators whose range are sets of elements rather than single elements. In this paper, we make three further co...
2102.03939
Nikolaos Zioulis Mr.
Nikolaos Zioulis, Federico Alvarez, Dimitrios Zarpalas, Petros Daras
Single-Shot Cuboids: Geodesics-based End-to-end Manhattan Aligned Layout Estimation from Spherical Panoramas
null
null
null
null
cs.CV cs.LG
http://creativecommons.org/licenses/by/4.0/
It has been shown that global scene understanding tasks like layout estimation can benefit from wider field of views, and specifically spherical panoramas. While much progress has been made recently, all previous approaches rely on intermediate representations and postprocessing to produce Manhattan-aligned estimates...
[ { "created": "Sun, 7 Feb 2021 22:52:59 GMT", "version": "v1" }, { "created": "Tue, 9 Feb 2021 08:46:37 GMT", "version": "v2" } ]
2021-02-10
[ [ "Zioulis", "Nikolaos", "" ], [ "Alvarez", "Federico", "" ], [ "Zarpalas", "Dimitrios", "" ], [ "Daras", "Petros", "" ] ]
It has been shown that global scene understanding tasks like layout estimation can benefit from wider field of views, and specifically spherical panoramas. While much progress has been made recently, all previous approaches rely on intermediate representations and postprocessing to produce Manhattan-aligned estimates. ...
2406.11342
Zhao Zhuo
Zhao Zhuo, Rongzhen Li, Kai Liu, Huhai Zou, KaiMao Li, Jie Yu, Tianhao Sun, Qingbo Wu
KAOS: Large Model Multi-Agent Operating System
The content is highly controversial and needs to be withdrawn
null
null
null
cs.MA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The intelligent interaction model based on large models reduces the differences in user experience across various system platforms but faces challenges in multi-agent collaboration and resource sharing. To demonstrate a uniform user experience across different foundational software platforms and address resource coor...
[ { "created": "Mon, 17 Jun 2024 08:59:32 GMT", "version": "v1" }, { "created": "Tue, 6 Aug 2024 08:42:18 GMT", "version": "v2" }, { "created": "Fri, 9 Aug 2024 01:45:39 GMT", "version": "v3" } ]
2024-08-12
[ [ "Zhuo", "Zhao", "" ], [ "Li", "Rongzhen", "" ], [ "Liu", "Kai", "" ], [ "Zou", "Huhai", "" ], [ "Li", "KaiMao", "" ], [ "Yu", "Jie", "" ], [ "Sun", "Tianhao", "" ], [ "Wu", "Qingbo", "" ] ...
The intelligent interaction model based on large models reduces the differences in user experience across various system platforms but faces challenges in multi-agent collaboration and resource sharing. To demonstrate a uniform user experience across different foundational software platforms and address resource coordi...
2106.11569
Herv\'e Tal\'e Kalachi
Herv\'e Tale Kalachi and Hermann Tchatchiem Kamche
On the Rank Decoding Problem Over Finite Principal Ideal Rings
20 pages
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The rank decoding problem has been the subject of much attention in this last decade. This problem, which is at the base of the security of public-key cryptosystems based on rank metric codes, is traditionally studied over finite fields. But the recent generalizations of certain classes of rank-metric codes from fini...
[ { "created": "Tue, 22 Jun 2021 06:59:10 GMT", "version": "v1" }, { "created": "Fri, 4 Mar 2022 12:21:47 GMT", "version": "v2" }, { "created": "Mon, 15 Aug 2022 14:19:47 GMT", "version": "v3" } ]
2022-08-16
[ [ "Kalachi", "Hervé Tale", "" ], [ "Kamche", "Hermann Tchatchiem", "" ] ]
The rank decoding problem has been the subject of much attention in this last decade. This problem, which is at the base of the security of public-key cryptosystems based on rank metric codes, is traditionally studied over finite fields. But the recent generalizations of certain classes of rank-metric codes from finite...
1505.04713
Merlin Sheeba
G. Merlin Sheeba, Alamelu Nachiappan, P.H. Pavan Kumar, Prateek
Placement Of Energy Aware Wireless Mesh Nodes For E-Learning In Green Campuses
10 pages,4 figures
International Journal on Cybernetics & Informatics (IJCI) Vol. 4, No. 2, April 2015
10.5121/ijci.2015.4218
null
cs.NI
http://creativecommons.org/licenses/by/3.0/
Energy efficiency solutions are more vital for Green Mesh Network (GMN) campuses. Today students are benefited using these e-learning methodologies. Renewable energies such as solar, wind, hydro has tremendous applications on energy efficient wireless networks for sustaining the ever growing traffic demands. One of t...
[ { "created": "Mon, 18 May 2015 16:42:16 GMT", "version": "v1" } ]
2015-05-19
[ [ "Sheeba", "G. Merlin", "" ], [ "Nachiappan", "Alamelu", "" ], [ "Kumar", "P. H. Pavan", "" ], [ "Prateek", "", "" ] ]
Energy efficiency solutions are more vital for Green Mesh Network (GMN) campuses. Today students are benefited using these e-learning methodologies. Renewable energies such as solar, wind, hydro has tremendous applications on energy efficient wireless networks for sustaining the ever growing traffic demands. One of the...
2406.16219
Stefanos Chaliasos
Stefanos Chaliasos, Denis Firsov, Benjamin Livshits
Towards a Formal Foundation for Blockchain Rollups
null
null
null
null
cs.CR
http://creativecommons.org/licenses/by/4.0/
Blockchains like Bitcoin and Ethereum have revolutionized digital transactions, yet scalability issues persist. Layer 2 solutions, such as validity proof Rollups (ZK-Rollups), aim to address these challenges by processing transactions off-chain and validating them on the main chain. However, concerns remain about sec...
[ { "created": "Sun, 23 Jun 2024 21:12:19 GMT", "version": "v1" } ]
2024-06-25
[ [ "Chaliasos", "Stefanos", "" ], [ "Firsov", "Denis", "" ], [ "Livshits", "Benjamin", "" ] ]
Blockchains like Bitcoin and Ethereum have revolutionized digital transactions, yet scalability issues persist. Layer 2 solutions, such as validity proof Rollups (ZK-Rollups), aim to address these challenges by processing transactions off-chain and validating them on the main chain. However, concerns remain about secur...
2210.08472
Yuan-Gen Wang
Chao Zhou, Yuan-Gen Wang, Guopu Zhu
Object-Attentional Untargeted Adversarial Attack
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep neural networks are facing severe threats from adversarial attacks. Most existing black-box attacks fool target model by generating either global perturbations or local patches. However, both global perturbations and local patches easily cause annoying visual artifacts in adversarial example. Compared with some ...
[ { "created": "Sun, 16 Oct 2022 07:45:13 GMT", "version": "v1" } ]
2022-10-18
[ [ "Zhou", "Chao", "" ], [ "Wang", "Yuan-Gen", "" ], [ "Zhu", "Guopu", "" ] ]
Deep neural networks are facing severe threats from adversarial attacks. Most existing black-box attacks fool target model by generating either global perturbations or local patches. However, both global perturbations and local patches easily cause annoying visual artifacts in adversarial example. Compared with some sm...
1409.5980
Kiran Garimella
Kiran Garimella, Ingmar Weber, Sonia Dal Cin
From "I love you babe" to "leave me alone" - Romantic Relationship Breakups on Twitter
To appear in the 6th International Conference on Social Informatics (SocInfo 2014), Barcelona
null
null
null
cs.SI cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We use public data from Twitter to study the breakups of the romantic relationships of 661 couples. Couples are identified through profile references such as @user1 writing "@user2 is the best boyfriend ever!!". Using this data set we find evidence for a number of existing hypotheses describing psychological processe...
[ { "created": "Sun, 21 Sep 2014 13:23:35 GMT", "version": "v1" } ]
2014-09-23
[ [ "Garimella", "Kiran", "" ], [ "Weber", "Ingmar", "" ], [ "Cin", "Sonia Dal", "" ] ]
We use public data from Twitter to study the breakups of the romantic relationships of 661 couples. Couples are identified through profile references such as @user1 writing "@user2 is the best boyfriend ever!!". Using this data set we find evidence for a number of existing hypotheses describing psychological processes ...
1508.02133
Marek Szyku{\l}a
Vladimir V. Gusev, Marek Szyku{\l}a
On the Number of Synchronizing Colorings of Digraphs
CIAA 2015. The final publication is available at http://link.springer.com/chapter/10.1007/978-3-319-22360-5_11
In Implementation and Application of Automata (CIAA 2015), volume 9223 of LNCS, pages 127-139, Springer, 2015
10.1007/978-3-319-22360-5_11
null
cs.FL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We deal with $k$-out-regular directed multigraphs with loops (called simply \emph{digraphs}). The edges of such a digraph can be colored by elements of some fixed $k$-element set in such a way that outgoing edges of every vertex have different colors. Such a coloring corresponds naturally to an automaton. The road co...
[ { "created": "Mon, 10 Aug 2015 06:15:24 GMT", "version": "v1" } ]
2015-08-11
[ [ "Gusev", "Vladimir V.", "" ], [ "Szykuła", "Marek", "" ] ]
We deal with $k$-out-regular directed multigraphs with loops (called simply \emph{digraphs}). The edges of such a digraph can be colored by elements of some fixed $k$-element set in such a way that outgoing edges of every vertex have different colors. Such a coloring corresponds naturally to an automaton. The road colo...
1205.1641
Bhavesh Patel
B V Patel, B B Meshram
Content based video retrieval systems
18 Pages
null
10.5121/iju.2012.3202
null
cs.MM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With the development of multimedia data types and available bandwidth there is huge demand of video retrieval systems, as users shift from text based retrieval systems to content based retrieval systems. Selection of extracted features play an important role in content based video retrieval regardless of video attrib...
[ { "created": "Tue, 8 May 2012 09:27:29 GMT", "version": "v1" } ]
2012-05-09
[ [ "Patel", "B V", "" ], [ "Meshram", "B B", "" ] ]
With the development of multimedia data types and available bandwidth there is huge demand of video retrieval systems, as users shift from text based retrieval systems to content based retrieval systems. Selection of extracted features play an important role in content based video retrieval regardless of video attribut...
2103.06026
Soeren Becker
Ana Juan Ferrer, Soeren Becker, Florian Schmidt, Lauritz Thamsen, Odej Kao
Towards a Cognitive Compute Continuum: An Architecture for Ad-Hoc Self-Managed Swarms
8 pages, CCGrid 2021 Cloud2Things Workshop
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we introduce our vision of a Cognitive Computing Continuum to address the changing IT service provisioning towards a distributed, opportunistic, self-managed collaboration between heterogeneous devices outside the traditional data center boundaries. The focal point of this continuum are cognitive device...
[ { "created": "Wed, 10 Mar 2021 12:56:00 GMT", "version": "v1" } ]
2021-03-11
[ [ "Ferrer", "Ana Juan", "" ], [ "Becker", "Soeren", "" ], [ "Schmidt", "Florian", "" ], [ "Thamsen", "Lauritz", "" ], [ "Kao", "Odej", "" ] ]
In this paper we introduce our vision of a Cognitive Computing Continuum to address the changing IT service provisioning towards a distributed, opportunistic, self-managed collaboration between heterogeneous devices outside the traditional data center boundaries. The focal point of this continuum are cognitive devices,...
2304.01041
Haichao Liu
Haichao Liu, Kai Chen, Yulin Li, Zhenmin Huang, Jianghua Duan, Jun Ma
Integrated Behavior Planning and Motion Control for Autonomous Vehicles with Traffic Rules Compliance
7 pages, 5 figures, accepted for publication in The 2023 IEEE International Conference on Robotics and Biomimetics (ROBIO)
null
null
null
cs.RO cs.SY eess.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this article, we propose an optimization-based integrated behavior planning and motion control scheme, which is an interpretable and adaptable urban autonomous driving solution that complies with complex traffic rules while ensuring driving safety. Inherently, to ensure compliance with traffic rules, an innovative...
[ { "created": "Mon, 3 Apr 2023 14:44:52 GMT", "version": "v1" }, { "created": "Thu, 30 Nov 2023 18:19:08 GMT", "version": "v2" } ]
2023-12-01
[ [ "Liu", "Haichao", "" ], [ "Chen", "Kai", "" ], [ "Li", "Yulin", "" ], [ "Huang", "Zhenmin", "" ], [ "Duan", "Jianghua", "" ], [ "Ma", "Jun", "" ] ]
In this article, we propose an optimization-based integrated behavior planning and motion control scheme, which is an interpretable and adaptable urban autonomous driving solution that complies with complex traffic rules while ensuring driving safety. Inherently, to ensure compliance with traffic rules, an innovative d...
1706.04371
Haozhe Xie
Haozhe Xie, Jie Li, Hanqing Xue
A survey of dimensionality reduction techniques based on random projection
10 pages, 6 figures
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Dimensionality reduction techniques play important roles in the analysis of big data. Traditional dimensionality reduction approaches, such as principal component analysis (PCA) and linear discriminant analysis (LDA), have been studied extensively in the past few decades. However, as the dimensionality of data increa...
[ { "created": "Wed, 14 Jun 2017 09:13:33 GMT", "version": "v1" }, { "created": "Sat, 17 Jun 2017 04:09:17 GMT", "version": "v2" }, { "created": "Fri, 27 Oct 2017 10:59:10 GMT", "version": "v3" }, { "created": "Wed, 30 May 2018 12:47:50 GMT", "version": "v4" } ]
2018-05-31
[ [ "Xie", "Haozhe", "" ], [ "Li", "Jie", "" ], [ "Xue", "Hanqing", "" ] ]
Dimensionality reduction techniques play important roles in the analysis of big data. Traditional dimensionality reduction approaches, such as principal component analysis (PCA) and linear discriminant analysis (LDA), have been studied extensively in the past few decades. However, as the dimensionality of data increase...
1907.00468
Erick Schmidt
Erick Schmidt, David Akopian
A Fast-rate WLAN Measurement Tool for Improved Miss-rate in Indoor Navigation
null
Proceedings of the 31st International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2018)
10.33012/2018.16042
null
cs.NI cs.PF cs.SE eess.SP
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recently, location-based services (LBS) have steered attention to indoor positioning systems (IPS). WLAN-based IPSs relying on received signal strength (RSS) measurements such as fingerprinting are gaining popularity due to proven high accuracy of their results. Typically, sets of RSS measurements at selected locatio...
[ { "created": "Sun, 30 Jun 2019 21:29:48 GMT", "version": "v1" } ]
2019-07-02
[ [ "Schmidt", "Erick", "" ], [ "Akopian", "David", "" ] ]
Recently, location-based services (LBS) have steered attention to indoor positioning systems (IPS). WLAN-based IPSs relying on received signal strength (RSS) measurements such as fingerprinting are gaining popularity due to proven high accuracy of their results. Typically, sets of RSS measurements at selected locations...
2107.09927
Serafeim Moustakidis
Zoumpolia Dikopoulou, Serafeim Moustakidis, Patrik Karlsson
GLIME: A new graphical methodology for interpretable model-agnostic explanations
null
null
null
null
cs.LG
http://creativecommons.org/licenses/by-nc-nd/4.0/
Explainable artificial intelligence (XAI) is an emerging new domain in which a set of processes and tools allow humans to better comprehend the decisions generated by black box models. However, most of the available XAI tools are often limited to simple explanations mainly quantifying the impact of individual feature...
[ { "created": "Wed, 21 Jul 2021 08:06:40 GMT", "version": "v1" } ]
2021-07-22
[ [ "Dikopoulou", "Zoumpolia", "" ], [ "Moustakidis", "Serafeim", "" ], [ "Karlsson", "Patrik", "" ] ]
Explainable artificial intelligence (XAI) is an emerging new domain in which a set of processes and tools allow humans to better comprehend the decisions generated by black box models. However, most of the available XAI tools are often limited to simple explanations mainly quantifying the impact of individual features ...
1809.04993
Diego Romeres
Diego Romeres, Devesh Jha, Alberto Dalla Libera, William Yerazunis and Daniel Nikovski
Semiparametrical Gaussian Processes Learning of Forward Dynamical Models for Navigating in a Circular Maze
7 pages including the references, 5 figures. Changed title, improved the structure of the article and the images
null
null
null
cs.RO cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents a problem of model learning for the purpose of learning how to navigate a ball to a goal state in a circular maze environment with two degrees of freedom. The motion of the ball in the maze environment is influenced by several non-linear effects such as dry friction and contacts, which are difficu...
[ { "created": "Thu, 13 Sep 2018 14:44:05 GMT", "version": "v1" }, { "created": "Tue, 18 Sep 2018 18:22:48 GMT", "version": "v2" } ]
2018-09-20
[ [ "Romeres", "Diego", "" ], [ "Jha", "Devesh", "" ], [ "Libera", "Alberto Dalla", "" ], [ "Yerazunis", "William", "" ], [ "Nikovski", "Daniel", "" ] ]
This paper presents a problem of model learning for the purpose of learning how to navigate a ball to a goal state in a circular maze environment with two degrees of freedom. The motion of the ball in the maze environment is influenced by several non-linear effects such as dry friction and contacts, which are difficult...
1705.00761
Samir Abdelrahman
Mahmoud Mahdi, Samir Abdelrahman, Reem Bahgat, and Ismail Ismail
F-tree: an algorithm for clustering transactional data using frequency tree
Appeared at Al-Azhar University Engineering Journal, JAUES, Vol.5, No. 8, Dec 2010
null
null
null
cs.DB
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Clustering is an important data mining technique that groups similar data records, recently categorical transaction clustering is received more attention. In this research, we study the problem of categorical data clustering for transactional data characterized with high dimensionality and large volume. We propose a ...
[ { "created": "Tue, 2 May 2017 01:55:44 GMT", "version": "v1" } ]
2017-05-03
[ [ "Mahdi", "Mahmoud", "" ], [ "Abdelrahman", "Samir", "" ], [ "Bahgat", "Reem", "" ], [ "Ismail", "Ismail", "" ] ]
Clustering is an important data mining technique that groups similar data records, recently categorical transaction clustering is received more attention. In this research, we study the problem of categorical data clustering for transactional data characterized with high dimensionality and large volume. We propose a no...
2308.05621
Francesco Orabona
Francesco Orabona
Normalized Gradients for All
null
null
null
null
cs.LG math.OC stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this short note, I show how to adapt to H\"{o}lder smoothness using normalized gradients in a black-box way. Moreover, the bound will depend on a novel notion of local H\"{o}lder smoothness. The main idea directly comes from Levy [2017].
[ { "created": "Thu, 10 Aug 2023 15:10:08 GMT", "version": "v1" } ]
2023-08-11
[ [ "Orabona", "Francesco", "" ] ]
In this short note, I show how to adapt to H\"{o}lder smoothness using normalized gradients in a black-box way. Moreover, the bound will depend on a novel notion of local H\"{o}lder smoothness. The main idea directly comes from Levy [2017].
2210.05728
Nikolas Lamb
Nikolas Lamb, Sean Banerjee, and Natasha Kholgade Banerjee
DeepMend: Learning Occupancy Functions to Represent Shape for Repair
To be published at ECCV 2020 (poster)
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present DeepMend, a novel approach to reconstruct restorations to fractured shapes using learned occupancy functions. Existing shape repair approaches predict low-resolution voxelized restorations, or require symmetries or access to a pre-existing complete oracle. We represent the occupancy of a fractured shape as...
[ { "created": "Tue, 11 Oct 2022 18:42:20 GMT", "version": "v1" } ]
2022-10-13
[ [ "Lamb", "Nikolas", "" ], [ "Banerjee", "Sean", "" ], [ "Banerjee", "Natasha Kholgade", "" ] ]
We present DeepMend, a novel approach to reconstruct restorations to fractured shapes using learned occupancy functions. Existing shape repair approaches predict low-resolution voxelized restorations, or require symmetries or access to a pre-existing complete oracle. We represent the occupancy of a fractured shape as t...
1711.09352
Hisashi Shimodaira
Hisashi Shimodaira
Automatic Color Image Segmentation Using a Square Elemental Region-Based Seeded Region Growing and Merging Method
14 pages with 9 figures and 3 tables
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents an efficient automatic color image segmentation method using a seeded region growing and merging method based on square elemental regions. Our segmentation method consists of the three steps: generating seed regions, merging the regions, and applying a pixel-wise boundary determination algorithm t...
[ { "created": "Sun, 26 Nov 2017 09:19:05 GMT", "version": "v1" } ]
2017-11-28
[ [ "Shimodaira", "Hisashi", "" ] ]
This paper presents an efficient automatic color image segmentation method using a seeded region growing and merging method based on square elemental regions. Our segmentation method consists of the three steps: generating seed regions, merging the regions, and applying a pixel-wise boundary determination algorithm to ...
2308.14806
Wentao Xu
Wentao Xu, Kazutoshi Sasahara
Domain-based user embedding for competing events on social media
Computational social science application
null
null
null
cs.CY cs.SI
http://creativecommons.org/licenses/by/4.0/
Online social networks offer vast opportunities for computational social science, but effective user embedding is crucial for downstream tasks. Traditionally, researchers have used pre-defined network-based user features, such as degree, and centrality measures, and/or content-based features, such as posts and repost...
[ { "created": "Mon, 28 Aug 2023 18:01:14 GMT", "version": "v1" }, { "created": "Wed, 30 Aug 2023 07:07:05 GMT", "version": "v2" } ]
2023-08-31
[ [ "Xu", "Wentao", "" ], [ "Sasahara", "Kazutoshi", "" ] ]
Online social networks offer vast opportunities for computational social science, but effective user embedding is crucial for downstream tasks. Traditionally, researchers have used pre-defined network-based user features, such as degree, and centrality measures, and/or content-based features, such as posts and reposts....
1706.00523
Michael Chertkov
Michael Chertkov and Alexander Korotkevich
Adiabatic approach for natural gas pipeline computations
6 pages, 2 figures
null
null
LA-UR-17-22368
cs.SY physics.flu-dyn
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider slowly evolving, i.e. ADIABATIC, operational regime within a transmission level (continental scale) natural gas pipeline system. This allows us to introduce a set of nodal equations of reduced complexity describing gas transients in injection/consumption UNBALANCED (so-called line-pack) cases. We discuss,...
[ { "created": "Thu, 1 Jun 2017 23:36:55 GMT", "version": "v1" }, { "created": "Wed, 2 Aug 2017 22:20:44 GMT", "version": "v2" } ]
2017-08-04
[ [ "Chertkov", "Michael", "" ], [ "Korotkevich", "Alexander", "" ] ]
We consider slowly evolving, i.e. ADIABATIC, operational regime within a transmission level (continental scale) natural gas pipeline system. This allows us to introduce a set of nodal equations of reduced complexity describing gas transients in injection/consumption UNBALANCED (so-called line-pack) cases. We discuss, i...
1704.05915
Yuri G. Gordienko
S. Stirenko, Yu. Gordienko, T. Shemsedinov, O. Alienin, Yu. Kochura, N. Gordienko, A. Rojbi, J.R. L\'opez Benito, E. Artetxe Gonz\'alez
User-driven Intelligent Interface on the Basis of Multimodal Augmented Reality and Brain-Computer Interaction for People with Functional Disabilities
10 pages, 11 figures, 1 table, submitted to Future of Information and Communication Conference (FICC) 2018, 5-6 April 2018, Singapore
In: Arai K., Kapoor S., Bhatia R. (eds) Advances in Information and Communication Networks. FICC 2018. Advances in Intelligent Systems and Computing, vol 886, pp.612-631. Springer, Cham
10.1007/978-3-030-03402-3_43
null
cs.HC cs.AI cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The analysis of the current integration attempts of some modes and use cases of user-machine interaction is presented. The new concept of the user-driven intelligent interface is proposed on the basis of multimodal augmented reality and brain-computer interaction for various applications: in disabilities studies, edu...
[ { "created": "Wed, 12 Apr 2017 21:03:52 GMT", "version": "v1" }, { "created": "Tue, 15 Aug 2017 22:51:53 GMT", "version": "v2" } ]
2018-12-11
[ [ "Stirenko", "S.", "" ], [ "Gordienko", "Yu.", "" ], [ "Shemsedinov", "T.", "" ], [ "Alienin", "O.", "" ], [ "Kochura", "Yu.", "" ], [ "Gordienko", "N.", "" ], [ "Rojbi", "A.", "" ], [ "Benito", ...
The analysis of the current integration attempts of some modes and use cases of user-machine interaction is presented. The new concept of the user-driven intelligent interface is proposed on the basis of multimodal augmented reality and brain-computer interaction for various applications: in disabilities studies, educa...
1607.03848
Minghui Jiang
Minghui Jiang
Periodicity of identifying codes in strips
added two references [2,3] and updated introduction
null
null
null
cs.DM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
An identifying code in a graph is a subset of vertices having a nonempty and distinct intersection with the closed neighborhood of every vertex. We prove that the infimum density of any identifying code in $S_k$ (an infinite strip of $k$ rows in the square grid) can always be achieved by a periodic identifying code w...
[ { "created": "Wed, 13 Jul 2016 18:14:32 GMT", "version": "v1" }, { "created": "Mon, 17 Oct 2016 18:37:32 GMT", "version": "v2" } ]
2016-10-18
[ [ "Jiang", "Minghui", "" ] ]
An identifying code in a graph is a subset of vertices having a nonempty and distinct intersection with the closed neighborhood of every vertex. We prove that the infimum density of any identifying code in $S_k$ (an infinite strip of $k$ rows in the square grid) can always be achieved by a periodic identifying code wit...
1604.00066
Wenbin Li
Wenbin Li, Seyedmajid Azimi, Ale\v{s} Leonardis, Mario Fritz
To Fall Or Not To Fall: A Visual Approach to Physical Stability Prediction
null
null
null
null
cs.CV cs.AI cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Understanding physical phenomena is a key competence that enables humans and animals to act and interact under uncertain perception in previously unseen environments containing novel object and their configurations. Developmental psychology has shown that such skills are acquired by infants from observations at a ver...
[ { "created": "Thu, 31 Mar 2016 21:53:32 GMT", "version": "v1" } ]
2016-04-04
[ [ "Li", "Wenbin", "" ], [ "Azimi", "Seyedmajid", "" ], [ "Leonardis", "Aleš", "" ], [ "Fritz", "Mario", "" ] ]
Understanding physical phenomena is a key competence that enables humans and animals to act and interact under uncertain perception in previously unseen environments containing novel object and their configurations. Developmental psychology has shown that such skills are acquired by infants from observations at a very ...
1709.05172
Kamil Senel
Kamil Senel, Emil Bj\"ornson and Erik G. Larsson
Optimal Base Station Design with Limited Fronthaul: Massive Bandwidth or Massive MIMO?
Accepted for publication in GC'17 Workshops - LSASLUB
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
To reach a cost-efficient 5G architecture, the use of remote radio heads connected through a fronthaul to baseband controllers is a promising solution. However, the fronthaul links must support high bit rates as 5G networks are projected to use wide bandwidths and many antennas. Upgrading all of the existing fronthau...
[ { "created": "Fri, 15 Sep 2017 12:15:53 GMT", "version": "v1" } ]
2017-09-18
[ [ "Senel", "Kamil", "" ], [ "Björnson", "Emil", "" ], [ "Larsson", "Erik G.", "" ] ]
To reach a cost-efficient 5G architecture, the use of remote radio heads connected through a fronthaul to baseband controllers is a promising solution. However, the fronthaul links must support high bit rates as 5G networks are projected to use wide bandwidths and many antennas. Upgrading all of the existing fronthaul ...
1802.05134
Kamil Khadiev
Kamil Khadiev, Aliya Khadieva, Mansur Ziatdinov, Dmitry Kravchenko, Alexander Rivosh, Ramis Yamilov and Ilnaz Mannapov
Quantum versus Classical Online Streaming Algorithms with Advice
arXiv admin note: substantial text overlap with arXiv:1710.09595
null
null
null
cs.DS cs.CC quant-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider online algorithms with respect to the competitive ratio. Here, we investigate quantum and classical one-way automata with non-constant size of memory (streaming algorithms) as a model for online algorithms. We construct problems that can be solved by quantum online streaming algorithms better than by clas...
[ { "created": "Tue, 13 Feb 2018 12:50:12 GMT", "version": "v1" }, { "created": "Thu, 20 Jun 2019 11:07:18 GMT", "version": "v2" } ]
2019-06-24
[ [ "Khadiev", "Kamil", "" ], [ "Khadieva", "Aliya", "" ], [ "Ziatdinov", "Mansur", "" ], [ "Kravchenko", "Dmitry", "" ], [ "Rivosh", "Alexander", "" ], [ "Yamilov", "Ramis", "" ], [ "Mannapov", "Ilnaz", "" ]...
We consider online algorithms with respect to the competitive ratio. Here, we investigate quantum and classical one-way automata with non-constant size of memory (streaming algorithms) as a model for online algorithms. We construct problems that can be solved by quantum online streaming algorithms better than by classi...
2310.18112
Ayoub Raji
Ayoub Raji, Danilo Caporale, Francesco Gatti, Andrea Giove, Micaela Verucchi, Davide Malatesta, Nicola Musiu, Alessandro Toschi, Silviu Roberto Popitanu, Fabio Bagni, Massimiliano Bosi, Alexander Liniger, Marko Bertogna, Daniele Morra, Francesco Amerotti, Luca Bartoli, Federico Martello, Riccardo Porta
er.autopilot 1.0: The Full Autonomous Stack for Oval Racing at High Speeds
Preprint: Accepted to Field Robotics "Opportunities and Challenges with Autonomous Racing" Special Issue
Field Robotics, January 2024, Volume 4
10.55417/fr.2024004
null
cs.RO cs.AI cs.CV cs.SY eess.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The Indy Autonomous Challenge (IAC) brought together for the first time in history nine autonomous racing teams competing at unprecedented speed and in head-to-head scenario, using independently developed software on open-wheel racecars. This paper presents the complete software architecture used by team TII EuroRaci...
[ { "created": "Fri, 27 Oct 2023 12:52:34 GMT", "version": "v1" } ]
2024-02-08
[ [ "Raji", "Ayoub", "" ], [ "Caporale", "Danilo", "" ], [ "Gatti", "Francesco", "" ], [ "Giove", "Andrea", "" ], [ "Verucchi", "Micaela", "" ], [ "Malatesta", "Davide", "" ], [ "Musiu", "Nicola", "" ], [ ...
The Indy Autonomous Challenge (IAC) brought together for the first time in history nine autonomous racing teams competing at unprecedented speed and in head-to-head scenario, using independently developed software on open-wheel racecars. This paper presents the complete software architecture used by team TII EuroRacing...
1710.09300
Filipe Alves Neto Verri
Filipe Alves Neto Verri, Renato Tin\'os, Liang Zhao
Feature learning in feature-sample networks using multi-objective optimization
7 pages, 4 figures
null
10.1109/CEC.2018.8477891
null
cs.AI cs.LG cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Data and knowledge representation are fundamental concepts in machine learning. The quality of the representation impacts the performance of the learning model directly. Feature learning transforms or enhances raw data to structures that are effectively exploited by those models. In recent years, several works have b...
[ { "created": "Wed, 25 Oct 2017 15:18:27 GMT", "version": "v1" } ]
2021-04-26
[ [ "Verri", "Filipe Alves Neto", "" ], [ "Tinós", "Renato", "" ], [ "Zhao", "Liang", "" ] ]
Data and knowledge representation are fundamental concepts in machine learning. The quality of the representation impacts the performance of the learning model directly. Feature learning transforms or enhances raw data to structures that are effectively exploited by those models. In recent years, several works have bee...
2005.02829
Aleem Akhtar Asif
Aleem Akhtar
Role of Apache Software Foundation in Big Data Projects
null
null
null
null
cs.SE cs.DB
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With the increase in amount of Big Data being generated each year, tools and technologies developed and used for the purpose of storing, processing and analyzing Big Data has also improved. Open-Source software has been an important factor in the success and innovation in the field of Big Data while Apache Software F...
[ { "created": "Tue, 5 May 2020 11:12:59 GMT", "version": "v1" } ]
2020-05-07
[ [ "Akhtar", "Aleem", "" ] ]
With the increase in amount of Big Data being generated each year, tools and technologies developed and used for the purpose of storing, processing and analyzing Big Data has also improved. Open-Source software has been an important factor in the success and innovation in the field of Big Data while Apache Software Fou...
1909.13005
Xiaojiang Peng
Qing Li, Xiaojiang Peng, Yu Qiao, Qiang Peng
Learning Category Correlations for Multi-label Image Recognition with Graph Networks
8 pages, 4 figures
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Multi-label image recognition is a task that predicts a set of object labels in an image. As the objects co-occur in the physical world, it is desirable to model label dependencies. Previous existing methods resort to either recurrent networks or pre-defined label correlation graphs for this purpose. In this paper, i...
[ { "created": "Sat, 28 Sep 2019 02:03:25 GMT", "version": "v1" } ]
2019-10-01
[ [ "Li", "Qing", "" ], [ "Peng", "Xiaojiang", "" ], [ "Qiao", "Yu", "" ], [ "Peng", "Qiang", "" ] ]
Multi-label image recognition is a task that predicts a set of object labels in an image. As the objects co-occur in the physical world, it is desirable to model label dependencies. Previous existing methods resort to either recurrent networks or pre-defined label correlation graphs for this purpose. In this paper, ins...
1711.06507
Irem Boybat
Irem Boybat, Manuel Le Gallo, S. R. Nandakumar, Timoleon Moraitis, Thomas Parnell, Tomas Tuma, Bipin Rajendran, Yusuf Leblebici, Abu Sebastian, Evangelos Eleftheriou
Neuromorphic computing with multi-memristive synapses
null
Nature Communications, volume 9, page 2514 (2018)
10.1038/s41467-018-04933-y
null
cs.ET
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Neuromorphic computing has emerged as a promising avenue towards building the next generation of intelligent computing systems. It has been proposed that memristive devices, which exhibit history-dependent conductivity modulation, could efficiently represent the synaptic weights in artificial neural networks. However...
[ { "created": "Fri, 17 Nov 2017 12:19:54 GMT", "version": "v1" }, { "created": "Sun, 24 Feb 2019 10:27:27 GMT", "version": "v2" } ]
2019-02-26
[ [ "Boybat", "Irem", "" ], [ "Gallo", "Manuel Le", "" ], [ "Nandakumar", "S. R.", "" ], [ "Moraitis", "Timoleon", "" ], [ "Parnell", "Thomas", "" ], [ "Tuma", "Tomas", "" ], [ "Rajendran", "Bipin", "" ], [...
Neuromorphic computing has emerged as a promising avenue towards building the next generation of intelligent computing systems. It has been proposed that memristive devices, which exhibit history-dependent conductivity modulation, could efficiently represent the synaptic weights in artificial neural networks. However, ...
2405.06886
Yong Guan
Yong Guan, Dingxiao Liu, Jinchen Ma, Hao Peng, Xiaozhi Wang, Lei Hou, Ru Li
Event GDR: Event-Centric Generative Document Retrieval
Accepted to WWW 2024
null
null
null
cs.IR cs.AI cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Generative document retrieval, an emerging paradigm in information retrieval, learns to build connections between documents and identifiers within a single model, garnering significant attention. However, there are still two challenges: (1) neglecting inner-content correlation during document representation; (2) lack...
[ { "created": "Sat, 11 May 2024 02:55:11 GMT", "version": "v1" } ]
2024-05-14
[ [ "Guan", "Yong", "" ], [ "Liu", "Dingxiao", "" ], [ "Ma", "Jinchen", "" ], [ "Peng", "Hao", "" ], [ "Wang", "Xiaozhi", "" ], [ "Hou", "Lei", "" ], [ "Li", "Ru", "" ] ]
Generative document retrieval, an emerging paradigm in information retrieval, learns to build connections between documents and identifiers within a single model, garnering significant attention. However, there are still two challenges: (1) neglecting inner-content correlation during document representation; (2) lackin...
1806.10044
Johannes Zink
Steven Chaplick, Fabian Lipp, Alexander Wolff, Johannes Zink
Compact Drawings of 1-Planar Graphs with Right-Angle Crossings and Few Bends
null
null
10.1016/j.comgeo.2019.07.006
null
cs.CG cs.DM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the following classes of beyond-planar graphs: 1-planar, IC-planar, and NIC-planar graphs. These are the graphs that admit a 1-planar, IC-planar, and NIC-planar drawing, respectively. A drawing of a graph is 1-planar if every edge is crossed at most once. A 1-planar drawing is IC-planar if no two pairs of cr...
[ { "created": "Tue, 26 Jun 2018 15:02:36 GMT", "version": "v1" }, { "created": "Fri, 6 Jul 2018 11:57:24 GMT", "version": "v2" }, { "created": "Tue, 28 Aug 2018 15:01:59 GMT", "version": "v3" }, { "created": "Mon, 3 Sep 2018 13:58:52 GMT", "version": "v4" }, { "cre...
2019-08-12
[ [ "Chaplick", "Steven", "" ], [ "Lipp", "Fabian", "" ], [ "Wolff", "Alexander", "" ], [ "Zink", "Johannes", "" ] ]
We study the following classes of beyond-planar graphs: 1-planar, IC-planar, and NIC-planar graphs. These are the graphs that admit a 1-planar, IC-planar, and NIC-planar drawing, respectively. A drawing of a graph is 1-planar if every edge is crossed at most once. A 1-planar drawing is IC-planar if no two pairs of cros...
2007.11199
Jiahao Li
Jiahao Li, Meilin Cui, Jeeeun Kim, Xiang 'Anthony' Chen
Romeo: A Design Tool for Embedding Transformable Parts in 3D Models to Robotically Augment Default Functionalities
null
null
null
null
cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Reconfiguring shapes of objects enables transforming existing passive objects with robotic functionalities, e.g., a transformable coffee cup holder can be attached to a chair's armrest, a piggy bank can reach out an arm to 'steal' coins. Despite the advance in end-user 3D design and fabrication, it remains challengin...
[ { "created": "Wed, 22 Jul 2020 04:54:43 GMT", "version": "v1" } ]
2020-07-23
[ [ "Li", "Jiahao", "" ], [ "Cui", "Meilin", "" ], [ "Kim", "Jeeeun", "" ], [ "Chen", "Xiang 'Anthony'", "" ] ]
Reconfiguring shapes of objects enables transforming existing passive objects with robotic functionalities, e.g., a transformable coffee cup holder can be attached to a chair's armrest, a piggy bank can reach out an arm to 'steal' coins. Despite the advance in end-user 3D design and fabrication, it remains challenging ...
2109.03638
Tiago Colliri
Tiago Colliri
Evaluating Presidential Support in the Brazilian House of Representatives Through a Network-Based Approach
null
null
null
null
cs.SI physics.soc-ph
http://creativecommons.org/licenses/by/4.0/
Conflicts between the executive and legislative powers are a common, and even expected, characteristic of presidential systems, with some governments being more successful in the activity of obtaining support from the Congress than others. In the case of Brazil, specifically, this factor is considered crucial in the ...
[ { "created": "Wed, 8 Sep 2021 13:31:36 GMT", "version": "v1" } ]
2021-09-09
[ [ "Colliri", "Tiago", "" ] ]
Conflicts between the executive and legislative powers are a common, and even expected, characteristic of presidential systems, with some governments being more successful in the activity of obtaining support from the Congress than others. In the case of Brazil, specifically, this factor is considered crucial in the so...
2002.03485
Dhairya Dalal
Dhairya Dalal and Byron V. Galbraith
Evaluating Sequence-to-Sequence Learning Models for If-Then Program Synthesis
AAAI IPA workshop submission
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Implementing enterprise process automation often requires significant technical expertise and engineering effort. It would be beneficial for non-technical users to be able to describe a business process in natural language and have an intelligent system generate the workflow that can be automatically executed. A buil...
[ { "created": "Mon, 10 Feb 2020 00:45:03 GMT", "version": "v1" } ]
2020-02-11
[ [ "Dalal", "Dhairya", "" ], [ "Galbraith", "Byron V.", "" ] ]
Implementing enterprise process automation often requires significant technical expertise and engineering effort. It would be beneficial for non-technical users to be able to describe a business process in natural language and have an intelligent system generate the workflow that can be automatically executed. A buildi...
2105.06072
Jincheng Mei
Jincheng Mei, Yue Gao, Bo Dai, Csaba Szepesvari, Dale Schuurmans
Leveraging Non-uniformity in First-order Non-convex Optimization
48 pages, 10 figures. Accepted at ICML 2021
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Classical global convergence results for first-order methods rely on uniform smoothness and the \L{}ojasiewicz inequality. Motivated by properties of objective functions that arise in machine learning, we propose a non-uniform refinement of these notions, leading to \emph{Non-uniform Smoothness} (NS) and \emph{Non-un...
[ { "created": "Thu, 13 May 2021 04:23:07 GMT", "version": "v1" }, { "created": "Fri, 17 Sep 2021 21:13:47 GMT", "version": "v2" }, { "created": "Thu, 2 Jun 2022 06:44:29 GMT", "version": "v3" } ]
2022-06-03
[ [ "Mei", "Jincheng", "" ], [ "Gao", "Yue", "" ], [ "Dai", "Bo", "" ], [ "Szepesvari", "Csaba", "" ], [ "Schuurmans", "Dale", "" ] ]
Classical global convergence results for first-order methods rely on uniform smoothness and the \L{}ojasiewicz inequality. Motivated by properties of objective functions that arise in machine learning, we propose a non-uniform refinement of these notions, leading to \emph{Non-uniform Smoothness} (NS) and \emph{Non-unif...
2205.06182
Satwinder Singh
Satwinder Singh, Ruili Wang, Feng Hou
Improved Meta Learning for Low Resource Speech Recognition
Published in IEEE ICASSP 2022
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022, pp. 4798-4802
10.1109/ICASSP43922.2022.9746899
null
cs.CL cs.LG cs.SD eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose a new meta learning based framework for low resource speech recognition that improves the previous model agnostic meta learning (MAML) approach. The MAML is a simple yet powerful meta learning approach. However, the MAML presents some core deficiencies such as training instabilities and slower convergence ...
[ { "created": "Wed, 11 May 2022 15:50:47 GMT", "version": "v1" } ]
2022-05-13
[ [ "Singh", "Satwinder", "" ], [ "Wang", "Ruili", "" ], [ "Hou", "Feng", "" ] ]
We propose a new meta learning based framework for low resource speech recognition that improves the previous model agnostic meta learning (MAML) approach. The MAML is a simple yet powerful meta learning approach. However, the MAML presents some core deficiencies such as training instabilities and slower convergence sp...
1803.09622
Jan Kelner
Jan M. Kelner, Bogdan Uljasz, Leszek Nowosielski (Military University of Technology, Faculty of Electronics, Institute of Telecommunications, Warsaw, Poland)
BER measurements in the evaluation of operation correctness of VSAT modem traffic interfaces
5 pages, 5 figures, 2 tables
2018 14th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET), Lviv-Slavske, Ukraine, 20-24.02.2018., pp. 1-5
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents using bit error rate (BER) measurements to evaluate operation correctness of traffic (input-output) interfaces in modem of very small aperture terminal (VSAT). Such functional tests are carried out, for example, when purchasing communication equipment for armed forces. Generally, available standar...
[ { "created": "Mon, 26 Mar 2018 14:30:47 GMT", "version": "v1" } ]
2018-03-28
[ [ "Kelner", "Jan M.", "", "Military University\n of Technology, Faculty of Electronics, Institute of Telecommunications,\n Warsaw, Poland" ], [ "Uljasz", "Bogdan", "", "Military University\n of Technology, Faculty of Electronics, Institute of Telecommunications,\n Warsaw, Pol...
This paper presents using bit error rate (BER) measurements to evaluate operation correctness of traffic (input-output) interfaces in modem of very small aperture terminal (VSAT). Such functional tests are carried out, for example, when purchasing communication equipment for armed forces. Generally, available standards...
1310.0234
Yuanming Shi
Yuanming Shi and Jun Zhang and Khaled B. Letaief
Group Sparse Beamforming for Green Cloud-RAN
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A cloud radio access network (Cloud-RAN) is a network architecture that holds the promise of meeting the explosive growth of mobile data traffic. In this architecture, all the baseband signal processing is shifted to a single baseband unit (BBU) pool, which enables efficient resource allocation and interference manag...
[ { "created": "Tue, 1 Oct 2013 10:46:27 GMT", "version": "v1" } ]
2013-10-02
[ [ "Shi", "Yuanming", "" ], [ "Zhang", "Jun", "" ], [ "Letaief", "Khaled B.", "" ] ]
A cloud radio access network (Cloud-RAN) is a network architecture that holds the promise of meeting the explosive growth of mobile data traffic. In this architecture, all the baseband signal processing is shifted to a single baseband unit (BBU) pool, which enables efficient resource allocation and interference managem...
2006.11078
Alexey Zaytsev
I. Fursov, A. Zaytsev, N. Kluchnikov, A. Kravchenko, E. Burnaev
Differentiable Language Model Adversarial Attacks on Categorical Sequence Classifiers
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
An adversarial attack paradigm explores various scenarios for the vulnerability of deep learning models: minor changes of the input can force a model failure. Most of the state of the art frameworks focus on adversarial attacks for images and other structured model inputs, but not for categorical sequences models. ...
[ { "created": "Fri, 19 Jun 2020 11:25:36 GMT", "version": "v1" } ]
2020-06-22
[ [ "Fursov", "I.", "" ], [ "Zaytsev", "A.", "" ], [ "Kluchnikov", "N.", "" ], [ "Kravchenko", "A.", "" ], [ "Burnaev", "E.", "" ] ]
An adversarial attack paradigm explores various scenarios for the vulnerability of deep learning models: minor changes of the input can force a model failure. Most of the state of the art frameworks focus on adversarial attacks for images and other structured model inputs, but not for categorical sequences models. Succ...
cs/0602062
Francois Denis
Fran\c{c}ois Denis (LIF), Yann Esposito (LIF), Amaury Habrard (LIF)
Learning rational stochastic languages
15 pages
null
null
null
cs.LG
null
Given a finite set of words w1,...,wn independently drawn according to a fixed unknown distribution law P called a stochastic language, an usual goal in Grammatical Inference is to infer an estimate of P in some class of probabilistic models, such as Probabilistic Automata (PA). Here, we study the class of rational s...
[ { "created": "Fri, 17 Feb 2006 08:57:44 GMT", "version": "v1" } ]
2007-05-23
[ [ "Denis", "François", "", "LIF" ], [ "Esposito", "Yann", "", "LIF" ], [ "Habrard", "Amaury", "", "LIF" ] ]
Given a finite set of words w1,...,wn independently drawn according to a fixed unknown distribution law P called a stochastic language, an usual goal in Grammatical Inference is to infer an estimate of P in some class of probabilistic models, such as Probabilistic Automata (PA). Here, we study the class of rational sto...
2203.13086
Aibek Alanov
Pavel Andreev, Aibek Alanov, Oleg Ivanov, Dmitry Vetrov
HiFi++: a Unified Framework for Bandwidth Extension and Speech Enhancement
Accepted to ICASSP 2023
null
10.1109/ICASSP49357.2023.10097255
null
cs.SD cs.LG eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Generative adversarial networks have recently demonstrated outstanding performance in neural vocoding outperforming best autoregressive and flow-based models. In this paper, we show that this success can be extended to other tasks of conditional audio generation. In particular, building upon HiFi vocoders, we propose...
[ { "created": "Thu, 24 Mar 2022 14:25:51 GMT", "version": "v1" }, { "created": "Thu, 8 Sep 2022 14:02:06 GMT", "version": "v2" }, { "created": "Sun, 30 Jul 2023 09:57:21 GMT", "version": "v3" }, { "created": "Sun, 10 Dec 2023 13:52:10 GMT", "version": "v4" } ]
2023-12-12
[ [ "Andreev", "Pavel", "" ], [ "Alanov", "Aibek", "" ], [ "Ivanov", "Oleg", "" ], [ "Vetrov", "Dmitry", "" ] ]
Generative adversarial networks have recently demonstrated outstanding performance in neural vocoding outperforming best autoregressive and flow-based models. In this paper, we show that this success can be extended to other tasks of conditional audio generation. In particular, building upon HiFi vocoders, we propose a...
2201.01819
Diana Kim
Diana Kim, Ahmed Elgammal, Marian Mazzone
Formal Analysis of Art: Proxy Learning of Visual Concepts from Style Through Language Models
23 pages, This paper is an extended version of a paper that will be published at the 36th AAAI Conference on Artificial Intelligence, to beheld in Vancouver, BC, Canada, February 22 - March 1, 2022
null
null
null
cs.LG cs.CL cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a machine learning system that can quantify fine art paintings with a set of visual elements and principles of art. This formal analysis is fundamental for understanding art, but developing such a system is challenging. Paintings have high visual complexities, but it is also difficult to collect enough tra...
[ { "created": "Wed, 5 Jan 2022 21:03:29 GMT", "version": "v1" } ]
2022-01-14
[ [ "Kim", "Diana", "" ], [ "Elgammal", "Ahmed", "" ], [ "Mazzone", "Marian", "" ] ]
We present a machine learning system that can quantify fine art paintings with a set of visual elements and principles of art. This formal analysis is fundamental for understanding art, but developing such a system is challenging. Paintings have high visual complexities, but it is also difficult to collect enough train...
2203.13888
Jacob Rosenthal
David Brundage, Jacob Rosenthal, Ryan Carelli, Sophie Rand, Renato Umeton, Massimo Loda, Luigi Marchionni
Whole Slide Image to DICOM Conversion as Event-Driven Cloud Infrastructure
null
null
null
null
cs.DC
http://creativecommons.org/licenses/by-nc-sa/4.0/
The Digital Imaging and Communication in Medicine (DICOM) specification is increasingly being adopted in digital pathology to promote data standardization and interoperability. Efficient conversion of proprietary file formats into the DICOM standard format is a key requirement for institutional adoption of DICOM, nec...
[ { "created": "Fri, 25 Mar 2022 19:55:49 GMT", "version": "v1" } ]
2022-03-29
[ [ "Brundage", "David", "" ], [ "Rosenthal", "Jacob", "" ], [ "Carelli", "Ryan", "" ], [ "Rand", "Sophie", "" ], [ "Umeton", "Renato", "" ], [ "Loda", "Massimo", "" ], [ "Marchionni", "Luigi", "" ] ]
The Digital Imaging and Communication in Medicine (DICOM) specification is increasingly being adopted in digital pathology to promote data standardization and interoperability. Efficient conversion of proprietary file formats into the DICOM standard format is a key requirement for institutional adoption of DICOM, neces...
1006.4903
Frank Sottile
Luis David Garcia-Puente, Frank Sottile, Chungang Zhu
Toric degenerations of Bezier patches
21 pages, many .eps figures
null
null
null
cs.GR math.AG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The control polygon of a Bezier curve is well-defined and has geometric significance---there is a sequence of weights under which the limiting position of the curve is the control polygon. For a Bezier surface patch, there are many possible polyhedral control structures, and none are canonical. We propose a not neces...
[ { "created": "Fri, 25 Jun 2010 03:11:37 GMT", "version": "v1" }, { "created": "Thu, 30 Dec 2010 05:17:12 GMT", "version": "v2" } ]
2011-01-04
[ [ "Garcia-Puente", "Luis David", "" ], [ "Sottile", "Frank", "" ], [ "Zhu", "Chungang", "" ] ]
The control polygon of a Bezier curve is well-defined and has geometric significance---there is a sequence of weights under which the limiting position of the curve is the control polygon. For a Bezier surface patch, there are many possible polyhedral control structures, and none are canonical. We propose a not necessa...
1608.00187
Ranjay Krishna
Cewu Lu, Ranjay Krishna, Michael Bernstein, Li Fei-Fei
Visual Relationship Detection with Language Priors
ECCV 2016 Oral
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Visual relationships capture a wide variety of interactions between pairs of objects in images (e.g. "man riding bicycle" and "man pushing bicycle"). Consequently, the set of possible relationships is extremely large and it is difficult to obtain sufficient training examples for all possible relationships. Because of...
[ { "created": "Sun, 31 Jul 2016 05:54:13 GMT", "version": "v1" } ]
2016-08-02
[ [ "Lu", "Cewu", "" ], [ "Krishna", "Ranjay", "" ], [ "Bernstein", "Michael", "" ], [ "Fei-Fei", "Li", "" ] ]
Visual relationships capture a wide variety of interactions between pairs of objects in images (e.g. "man riding bicycle" and "man pushing bicycle"). Consequently, the set of possible relationships is extremely large and it is difficult to obtain sufficient training examples for all possible relationships. Because of t...