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1807.03633
Tong Wang
Tong Wang, Veerajalandhar Allareddy, Sankeerth Rampa and Veerasathpurush Allareddy
Interpretable Patient Mortality Prediction with Multi-value Rule Sets
arXiv admin note: text overlap with arXiv:1710.05257
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose a Multi-vAlue Rule Set (MRS) model for in-hospital predicting patient mortality. Compared to rule sets built from single-valued rules, MRS adopts a more generalized form of association rules that allows multiple values in a condition. Rules of this form are more concise than classical single-valued rules i...
[ { "created": "Fri, 6 Jul 2018 22:47:19 GMT", "version": "v1" }, { "created": "Mon, 23 Jul 2018 14:57:51 GMT", "version": "v2" } ]
2018-07-24
[ [ "Wang", "Tong", "" ], [ "Allareddy", "Veerajalandhar", "" ], [ "Rampa", "Sankeerth", "" ], [ "Allareddy", "Veerasathpurush", "" ] ]
We propose a Multi-vAlue Rule Set (MRS) model for in-hospital predicting patient mortality. Compared to rule sets built from single-valued rules, MRS adopts a more generalized form of association rules that allows multiple values in a condition. Rules of this form are more concise than classical single-valued rules in ...
2102.02969
Jianhao Ma
Jianhao Ma and Salar Fattahi
Sign-RIP: A Robust Restricted Isometry Property for Low-rank Matrix Recovery
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Restricted isometry property (RIP), essentially stating that the linear measurements are approximately norm-preserving, plays a crucial role in studying low-rank matrix recovery problem. However, RIP fails in the robust setting, when a subset of the measurements are grossly corrupted with noise. In this work, we prop...
[ { "created": "Fri, 5 Feb 2021 02:52:00 GMT", "version": "v1" }, { "created": "Wed, 21 Apr 2021 15:37:21 GMT", "version": "v2" }, { "created": "Tue, 28 Sep 2021 15:00:18 GMT", "version": "v3" } ]
2021-09-29
[ [ "Ma", "Jianhao", "" ], [ "Fattahi", "Salar", "" ] ]
Restricted isometry property (RIP), essentially stating that the linear measurements are approximately norm-preserving, plays a crucial role in studying low-rank matrix recovery problem. However, RIP fails in the robust setting, when a subset of the measurements are grossly corrupted with noise. In this work, we propos...
2011.14496
Yikai Wang
Yikai Wang and Weijian Li
Blind signal decomposition of various word embeddings based on join and individual variance explained
9 pages, 10 figures
null
null
null
cs.CL cs.AI stat.ML
http://creativecommons.org/licenses/by/4.0/
In recent years, natural language processing (NLP) has become one of the most important areas with various applications in human's life. As the most fundamental task, the field of word embedding still requires more attention and research. Currently, existing works about word embedding are focusing on proposing novel ...
[ { "created": "Mon, 30 Nov 2020 01:36:29 GMT", "version": "v1" } ]
2020-12-01
[ [ "Wang", "Yikai", "" ], [ "Li", "Weijian", "" ] ]
In recent years, natural language processing (NLP) has become one of the most important areas with various applications in human's life. As the most fundamental task, the field of word embedding still requires more attention and research. Currently, existing works about word embedding are focusing on proposing novel em...
2403.02506
Chuan Guo
Tom Sander, Yaodong Yu, Maziar Sanjabi, Alain Durmus, Yi Ma, Kamalika Chaudhuri, Chuan Guo
Differentially Private Representation Learning via Image Captioning
null
null
null
null
cs.CV cs.LG
http://creativecommons.org/licenses/by/4.0/
Differentially private (DP) machine learning is considered the gold-standard solution for training a model from sensitive data while still preserving privacy. However, a major barrier to achieving this ideal is its sub-optimal privacy-accuracy trade-off, which is particularly visible in DP representation learning. Sp...
[ { "created": "Mon, 4 Mar 2024 21:52:25 GMT", "version": "v1" } ]
2024-03-06
[ [ "Sander", "Tom", "" ], [ "Yu", "Yaodong", "" ], [ "Sanjabi", "Maziar", "" ], [ "Durmus", "Alain", "" ], [ "Ma", "Yi", "" ], [ "Chaudhuri", "Kamalika", "" ], [ "Guo", "Chuan", "" ] ]
Differentially private (DP) machine learning is considered the gold-standard solution for training a model from sensitive data while still preserving privacy. However, a major barrier to achieving this ideal is its sub-optimal privacy-accuracy trade-off, which is particularly visible in DP representation learning. Spec...
1905.07663
Anuj Singh
Anuj Singh
Regions In a Linked Dataset For Change Detection
It is a doctoral consortium paper, which was accepted in ISWC 2018 but was not published there as the author was not able to attend the conference
null
null
null
cs.DB
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Linked Datasets (LDs) are constantly evolving and the applications using a Linked Dataset (LD) may face several issues such as outdated data or broken interlinks due to evolution of the dataset. To overcome these issues, the detection of changes in LDs during their evolution has proven crucial. As LDs evolve frequent...
[ { "created": "Sun, 19 May 2019 00:01:05 GMT", "version": "v1" } ]
2019-05-21
[ [ "Singh", "Anuj", "" ] ]
Linked Datasets (LDs) are constantly evolving and the applications using a Linked Dataset (LD) may face several issues such as outdated data or broken interlinks due to evolution of the dataset. To overcome these issues, the detection of changes in LDs during their evolution has proven crucial. As LDs evolve frequently...
2406.17096
Yudan Wang
Yudan Wang, Shaofeng Zou, Yue Wang
Model-Free Robust Reinforcement Learning with Sample Complexity Analysis
UAI 2024
null
null
null
cs.LG cs.AI stat.ML
http://creativecommons.org/licenses/by/4.0/
Distributionally Robust Reinforcement Learning (DR-RL) aims to derive a policy optimizing the worst-case performance within a predefined uncertainty set. Despite extensive research, previous DR-RL algorithms have predominantly favored model-based approaches, with limited availability of model-free methods offering co...
[ { "created": "Mon, 24 Jun 2024 19:35:26 GMT", "version": "v1" } ]
2024-06-26
[ [ "Wang", "Yudan", "" ], [ "Zou", "Shaofeng", "" ], [ "Wang", "Yue", "" ] ]
Distributionally Robust Reinforcement Learning (DR-RL) aims to derive a policy optimizing the worst-case performance within a predefined uncertainty set. Despite extensive research, previous DR-RL algorithms have predominantly favored model-based approaches, with limited availability of model-free methods offering conv...
1701.07976
Fanny Jardel
Joseph J. Boutros, Fanny Jardel, and Cyril M\'easson
Probabilistic Shaping and Non-Binary Codes
Submitted to IEEE International Symposium on Information Theory (ISIT) 2017
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We generalize probabilistic amplitude shaping (PAS) with binary codes to the case of non-binary codes defined over prime finite fields. Firstly, we introduce probabilistic shaping via time sharing where shaping applies to information symbols only. Then, we design circular quadrature amplitude modulations (CQAM) that ...
[ { "created": "Fri, 27 Jan 2017 08:56:26 GMT", "version": "v1" } ]
2017-01-30
[ [ "Boutros", "Joseph J.", "" ], [ "Jardel", "Fanny", "" ], [ "Méasson", "Cyril", "" ] ]
We generalize probabilistic amplitude shaping (PAS) with binary codes to the case of non-binary codes defined over prime finite fields. Firstly, we introduce probabilistic shaping via time sharing where shaping applies to information symbols only. Then, we design circular quadrature amplitude modulations (CQAM) that al...
2201.08169
Tong Zhang
Tong Zhang, Dongsheng Chen, Na Li, Yufan Zhuang, Bojie Lv, and Rui Wang
Secure Rate-Splitting for MIMO Broadcast Channel with Imperfect CSIT and a Jammer
6 pages, 3 figures
null
null
null
cs.IT eess.SP math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we investigate the secure rate-splitting for the two-user multiple-input multiple-output (MIMO) broadcast channel with imperfect channel state information at the transmitter (CSIT) and a multiple-antenna jammer, where each receiver has an equal number of antennas and the jammer has perfect channel stat...
[ { "created": "Thu, 20 Jan 2022 13:35:12 GMT", "version": "v1" }, { "created": "Sun, 23 Jan 2022 07:28:08 GMT", "version": "v2" }, { "created": "Mon, 28 Mar 2022 06:05:18 GMT", "version": "v3" }, { "created": "Mon, 11 Jul 2022 02:16:03 GMT", "version": "v4" } ]
2022-07-12
[ [ "Zhang", "Tong", "" ], [ "Chen", "Dongsheng", "" ], [ "Li", "Na", "" ], [ "Zhuang", "Yufan", "" ], [ "Lv", "Bojie", "" ], [ "Wang", "Rui", "" ] ]
In this paper, we investigate the secure rate-splitting for the two-user multiple-input multiple-output (MIMO) broadcast channel with imperfect channel state information at the transmitter (CSIT) and a multiple-antenna jammer, where each receiver has an equal number of antennas and the jammer has perfect channel state ...
1705.00949
Christian Mostegel
Christian Mostegel and Rudolf Prettenthaler and Friedrich Fraundorfer and Horst Bischof
Scalable Surface Reconstruction from Point Clouds with Extreme Scale and Density Diversity
This paper was accepted to the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. The copyright was transfered to IEEE (ieee.org). The official version of the paper will be made available on IEEE Xplore (R) (ieeexplore.ieee.org). This version of the paper also contains the supplementary ma...
null
null
null
cs.CV cs.GR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we present a scalable approach for robustly computing a 3D surface mesh from multi-scale multi-view stereo point clouds that can handle extreme jumps of point density (in our experiments three orders of magnitude). The backbone of our approach is a combination of octree data partitioning, local Delaunay...
[ { "created": "Tue, 2 May 2017 13:13:47 GMT", "version": "v1" } ]
2017-05-03
[ [ "Mostegel", "Christian", "" ], [ "Prettenthaler", "Rudolf", "" ], [ "Fraundorfer", "Friedrich", "" ], [ "Bischof", "Horst", "" ] ]
In this paper we present a scalable approach for robustly computing a 3D surface mesh from multi-scale multi-view stereo point clouds that can handle extreme jumps of point density (in our experiments three orders of magnitude). The backbone of our approach is a combination of octree data partitioning, local Delaunay t...
1704.02819
Hugues Verdure
Trygve Johnsen, Hugues Verdure
Flags of almost affine codes
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We describe a two-party wire-tap channel of type II in the framework of almost affine codes. Its cryptological performance is related to some relative profiles of a pair of almost affine codes. These profiles are analogues of relative generalized Hamming weights in the linear case.
[ { "created": "Mon, 10 Apr 2017 12:10:21 GMT", "version": "v1" } ]
2017-04-11
[ [ "Johnsen", "Trygve", "" ], [ "Verdure", "Hugues", "" ] ]
We describe a two-party wire-tap channel of type II in the framework of almost affine codes. Its cryptological performance is related to some relative profiles of a pair of almost affine codes. These profiles are analogues of relative generalized Hamming weights in the linear case.
2001.09624
Jiasi Weng
Jiasi Weng, Jian Weng, Yue Zhang, Ming Li, Zhaodi Wen
SecEL: Privacy-Preserving, Verifiable and Fault-Tolerant Edge Learning for Autonomous Vehicles
null
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Mobile edge computing (MEC) is an emerging technology to transform the cloud-based computing services into the edge-based ones. Autonomous vehicular network (AVNET), as one of the most promising applications of MEC, can feature edge learning and communication techniques, improving the safety for autonomous vehicles (...
[ { "created": "Mon, 27 Jan 2020 08:30:23 GMT", "version": "v1" }, { "created": "Fri, 31 Jan 2020 14:09:29 GMT", "version": "v2" }, { "created": "Sun, 16 Feb 2020 08:42:15 GMT", "version": "v3" } ]
2020-02-18
[ [ "Weng", "Jiasi", "" ], [ "Weng", "Jian", "" ], [ "Zhang", "Yue", "" ], [ "Li", "Ming", "" ], [ "Wen", "Zhaodi", "" ] ]
Mobile edge computing (MEC) is an emerging technology to transform the cloud-based computing services into the edge-based ones. Autonomous vehicular network (AVNET), as one of the most promising applications of MEC, can feature edge learning and communication techniques, improving the safety for autonomous vehicles (AV...
1812.00884
Shazia Akbar
Shazia Akbar, Anne L. Martel
Cluster-Based Learning from Weakly Labeled Bags in Digital Pathology
Machine Learning for Health (ML4H) Workshop at NeurIPS 2018
null
null
ML4H/2018/27
cs.CV cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
To alleviate the burden of gathering detailed expert annotations when training deep neural networks, we propose a weakly supervised learning approach to recognize metastases in microscopic images of breast lymph nodes. We describe an alternative training loss which clusters weakly labeled bags in latent space to info...
[ { "created": "Wed, 28 Nov 2018 15:05:22 GMT", "version": "v1" } ]
2018-12-04
[ [ "Akbar", "Shazia", "" ], [ "Martel", "Anne L.", "" ] ]
To alleviate the burden of gathering detailed expert annotations when training deep neural networks, we propose a weakly supervised learning approach to recognize metastases in microscopic images of breast lymph nodes. We describe an alternative training loss which clusters weakly labeled bags in latent space to inform...
1605.08154
Chongyang Wang
Chongyang Wang, Ming Peng, Lingfeng Xu, Tong Chen
A single scale retinex based method for palm vein extraction
4 pages, 4 figures, received by 2016 IEEE Information Technology,Networking,Electronic and Automation Control Conference(ITNEC 2016)
null
10.1109/ITNEC.2016.7560322
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Palm vein recognition is a novel biometric identification technology. But how to gain a better vein extraction result from the raw palm image is still a challenging problem, especially when the raw data collection has the problem of asymmetric illumination. This paper proposes a method based on single scale Retinex a...
[ { "created": "Thu, 26 May 2016 06:09:24 GMT", "version": "v1" } ]
2016-11-15
[ [ "Wang", "Chongyang", "" ], [ "Peng", "Ming", "" ], [ "Xu", "Lingfeng", "" ], [ "Chen", "Tong", "" ] ]
Palm vein recognition is a novel biometric identification technology. But how to gain a better vein extraction result from the raw palm image is still a challenging problem, especially when the raw data collection has the problem of asymmetric illumination. This paper proposes a method based on single scale Retinex alg...
0810.4196
M. H. van Emden
W.W. Edmonson and M.H. van Emden
Interval Semantics for Standard Floating-Point Arithmetic
10 pages
null
null
DCS-323-IR
cs.NA cs.AR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
If the non-zero finite floating-point numbers are interpreted as point intervals, then the effect of rounding can be interpreted as computing one of the bounds of the result according to interval arithmetic. We give an interval interpretation for the signed zeros and infinities, so that the undefined operations 0*inf...
[ { "created": "Thu, 23 Oct 2008 03:32:47 GMT", "version": "v1" } ]
2008-10-24
[ [ "Edmonson", "W. W.", "" ], [ "van Emden", "M. H.", "" ] ]
If the non-zero finite floating-point numbers are interpreted as point intervals, then the effect of rounding can be interpreted as computing one of the bounds of the result according to interval arithmetic. We give an interval interpretation for the signed zeros and infinities, so that the undefined operations 0*inf, ...
2004.02748
Shreya Roy
Shreya Roy and Anirban Chakraborty
Semantic Segmentation of highly class imbalanced fully labelled 3D volumetric biomedical images and unsupervised Domain Adaptation of the pre-trained Segmentation Network to segment another fully unlabelled Biomedical 3D Image stack
6 pages and 6 figures. Submitting to ICPR2020
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The goal of our work is to perform pixel label semantic segmentation on 3D biomedical volumetric data. Manual annotation is always difficult for a large bio-medical dataset. So, we consider two cases where one dataset is fully labeled and the other dataset is assumed to be fully unlabelled. We first perform Semantic ...
[ { "created": "Fri, 13 Mar 2020 06:01:18 GMT", "version": "v1" } ]
2020-04-07
[ [ "Roy", "Shreya", "" ], [ "Chakraborty", "Anirban", "" ] ]
The goal of our work is to perform pixel label semantic segmentation on 3D biomedical volumetric data. Manual annotation is always difficult for a large bio-medical dataset. So, we consider two cases where one dataset is fully labeled and the other dataset is assumed to be fully unlabelled. We first perform Semantic Se...
2303.05867
EPTCS
Ankit Kumar (Northeastern University), Andrew Walter (Northeastern University), Panagiotis Manolios (Northeastern University)
Automated Grading of Automata with ACL2s
In Proceedings ThEdu'22, arXiv:2303.05360
EPTCS 375, 2023, pp. 77-91
10.4204/EPTCS.375.7
null
cs.LO cs.FL cs.SC
http://creativecommons.org/licenses/by/4.0/
Almost all Computer Science programs require students to take a course on the Theory of Computation (ToC) which covers various models of computation such as finite automata, push-down automata and Turing machines. ToC courses tend to give assignments that require paper-and-pencil solutions. Grading such assignments t...
[ { "created": "Fri, 10 Mar 2023 11:37:27 GMT", "version": "v1" } ]
2023-03-13
[ [ "Kumar", "Ankit", "", "Northeastern University" ], [ "Walter", "Andrew", "", "Northeastern\n University" ], [ "Manolios", "Panagiotis", "", "Northeastern University" ] ]
Almost all Computer Science programs require students to take a course on the Theory of Computation (ToC) which covers various models of computation such as finite automata, push-down automata and Turing machines. ToC courses tend to give assignments that require paper-and-pencil solutions. Grading such assignments tak...
2206.09362
Wei Liu
Xin Xu, Wei Liu, Zheng Wang, Ruiming Hu, Qi Tian
Towards Generalizable Person Re-identification with a Bi-stream Generative Model
There is a mistake of equation 1
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Generalizable person re-identification (re-ID) has attracted growing attention due to its powerful adaptation capability in the unseen data domain. However, existing solutions often neglect either crossing cameras (e.g., illumination and resolution differences) or pedestrian misalignments (e.g., viewpoint and pose di...
[ { "created": "Sun, 19 Jun 2022 09:18:25 GMT", "version": "v1" }, { "created": "Sun, 26 Jun 2022 09:31:07 GMT", "version": "v2" } ]
2022-06-28
[ [ "Xu", "Xin", "" ], [ "Liu", "Wei", "" ], [ "Wang", "Zheng", "" ], [ "Hu", "Ruiming", "" ], [ "Tian", "Qi", "" ] ]
Generalizable person re-identification (re-ID) has attracted growing attention due to its powerful adaptation capability in the unseen data domain. However, existing solutions often neglect either crossing cameras (e.g., illumination and resolution differences) or pedestrian misalignments (e.g., viewpoint and pose disc...
1704.00079
Kevin Yu
Kevin Yu, Ashish Kumar Budhiraja, and Pratap Tokekar
Algorithms for Routing of Unmanned Aerial Vehicles with Mobile Recharging Stations
7 pages, 14 figures, ICRA2018 under review
null
null
null
cs.RO cs.MA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the problem of planning a tour for an energy-limited Unmanned Aerial Vehicle (UAV) to visit a set of sites in the least amount of time. We envision scenarios where the UAV can be recharged along the way either by landing on stationary recharging stations or on Unmanned Ground Vehicles (UGVs) acting as mobile...
[ { "created": "Fri, 31 Mar 2017 22:46:26 GMT", "version": "v1" }, { "created": "Mon, 3 Jul 2017 18:47:55 GMT", "version": "v2" }, { "created": "Mon, 18 Sep 2017 18:37:00 GMT", "version": "v3" } ]
2017-09-20
[ [ "Yu", "Kevin", "" ], [ "Budhiraja", "Ashish Kumar", "" ], [ "Tokekar", "Pratap", "" ] ]
We study the problem of planning a tour for an energy-limited Unmanned Aerial Vehicle (UAV) to visit a set of sites in the least amount of time. We envision scenarios where the UAV can be recharged along the way either by landing on stationary recharging stations or on Unmanned Ground Vehicles (UGVs) acting as mobile r...
1908.07592
Cenk G\"undo\u{g}an
Cenk G\"undo\u{g}an, Jakob Pfender, Michael Frey, Thomas C. Schmidt, Felix Shzu-Juraschek, Matthias W\"ahlisch
Gain More for Less: The Surprising Benefits of QoS Management in Constrained NDN Networks
null
Proceedings of ACM ICN 2019
10.1145/3357150.3357404
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Quality of Service (QoS) in the IP world mainly manages forwarding resources, i.e., link capacities and buffer spaces. In addition, Information Centric Networking (ICN) offers resource dimensions such as in-network caches and forwarding state. In constrained wireless networks, these resources are scarce with a potent...
[ { "created": "Tue, 20 Aug 2019 20:12:38 GMT", "version": "v1" } ]
2019-08-22
[ [ "Gündoğan", "Cenk", "" ], [ "Pfender", "Jakob", "" ], [ "Frey", "Michael", "" ], [ "Schmidt", "Thomas C.", "" ], [ "Shzu-Juraschek", "Felix", "" ], [ "Wählisch", "Matthias", "" ] ]
Quality of Service (QoS) in the IP world mainly manages forwarding resources, i.e., link capacities and buffer spaces. In addition, Information Centric Networking (ICN) offers resource dimensions such as in-network caches and forwarding state. In constrained wireless networks, these resources are scarce with a potentia...
1404.1484
Wenjing Liao
Wenjing Liao and Albert Fannjiang
MUSIC for Single-Snapshot Spectral Estimation: Stability and Super-resolution
Studies on the super-resolution of the MUSIC algorithm have been added in Section 4 and Section 5.4
null
null
null
cs.IT math.IT math.NA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper studies the problem of line spectral estimation in the continuum of a bounded interval with one snapshot of array measurement. The single-snapshot measurement data is turned into a Hankel data matrix which admits the Vandermonde decomposition and is suitable for the MUSIC algorithm. The MUSIC algorithm amo...
[ { "created": "Sat, 5 Apr 2014 15:51:33 GMT", "version": "v1" }, { "created": "Sun, 21 Sep 2014 21:56:37 GMT", "version": "v2" } ]
2014-09-23
[ [ "Liao", "Wenjing", "" ], [ "Fannjiang", "Albert", "" ] ]
This paper studies the problem of line spectral estimation in the continuum of a bounded interval with one snapshot of array measurement. The single-snapshot measurement data is turned into a Hankel data matrix which admits the Vandermonde decomposition and is suitable for the MUSIC algorithm. The MUSIC algorithm amoun...
2003.00645
Yusuke Koda
Yusuke Koda, Jihong Park, Mehdi Bennis, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura
Communication-Efficient Multimodal Split Learning for mmWave Received Power Prediction
5 pages, 7 figures, to be published at IEEE Communications Letters
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The goal of this study is to improve the accuracy of millimeter wave received power prediction by utilizing camera images and radio frequency (RF) signals, while gathering image inputs in a communication-efficient and privacy-preserving manner. To this end, we propose a distributed multimodal machine learning (ML) fr...
[ { "created": "Mon, 2 Mar 2020 03:58:35 GMT", "version": "v1" }, { "created": "Tue, 3 Mar 2020 03:17:30 GMT", "version": "v2" } ]
2020-03-04
[ [ "Koda", "Yusuke", "" ], [ "Park", "Jihong", "" ], [ "Bennis", "Mehdi", "" ], [ "Yamamoto", "Koji", "" ], [ "Nishio", "Takayuki", "" ], [ "Morikura", "Masahiro", "" ] ]
The goal of this study is to improve the accuracy of millimeter wave received power prediction by utilizing camera images and radio frequency (RF) signals, while gathering image inputs in a communication-efficient and privacy-preserving manner. To this end, we propose a distributed multimodal machine learning (ML) fram...
2003.07507
Saptarshi Purkayastha
A.K. Bhavani Singh, Mounika Guntu, Ananth Reddy Bhimireddy, Judy W. Gichoya, Saptarshi Purkayastha
Multi-label natural language processing to identify diagnosis and procedure codes from MIMIC-III inpatient notes
This is a shortened version of the Capstone Project that was accepted by the Faculty of Indiana University, in partial fulfillment of the requirements for the degree of Master of Science in Health Informatics
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the United States, 25% or greater than 200 billion dollars of hospital spending accounts for administrative costs that involve services for medical coding and billing. With the increasing number of patient records, manual assignment of the codes performed is overwhelming, time-consuming and error-prone, causing bi...
[ { "created": "Tue, 17 Mar 2020 02:56:27 GMT", "version": "v1" } ]
2020-03-18
[ [ "Singh", "A. K. Bhavani", "" ], [ "Guntu", "Mounika", "" ], [ "Bhimireddy", "Ananth Reddy", "" ], [ "Gichoya", "Judy W.", "" ], [ "Purkayastha", "Saptarshi", "" ] ]
In the United States, 25% or greater than 200 billion dollars of hospital spending accounts for administrative costs that involve services for medical coding and billing. With the increasing number of patient records, manual assignment of the codes performed is overwhelming, time-consuming and error-prone, causing bill...
2007.09793
R Jaberi
Raed Jaberi
$2$-blocks in strongly biconnected directed graphs
null
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A directed graph $G=(V,E)$ is called strongly biconnected if $G$ is strongly connected and the underlying graph of $G$ is biconnected. A strongly biconnected component of a strongly connected graph $G=(V,E)$ is a maximal vertex subset $L\subseteq V$ such that the induced subgraph on $L$ is strongly biconnected. Let $...
[ { "created": "Sun, 19 Jul 2020 21:59:52 GMT", "version": "v1" } ]
2020-07-21
[ [ "Jaberi", "Raed", "" ] ]
A directed graph $G=(V,E)$ is called strongly biconnected if $G$ is strongly connected and the underlying graph of $G$ is biconnected. A strongly biconnected component of a strongly connected graph $G=(V,E)$ is a maximal vertex subset $L\subseteq V$ such that the induced subgraph on $L$ is strongly biconnected. Let $G=...
1804.04577
Dimitri Bertsekas
Dimitri P. Bertsekas
Feature-Based Aggregation and Deep Reinforcement Learning: A Survey and Some New Implementations
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we discuss policy iteration methods for approximate solution of a finite-state discounted Markov decision problem, with a focus on feature-based aggregation methods and their connection with deep reinforcement learning schemes. We introduce features of the states of the original problem, and we formulat...
[ { "created": "Thu, 12 Apr 2018 15:46:12 GMT", "version": "v1" }, { "created": "Sun, 22 Apr 2018 14:38:08 GMT", "version": "v2" }, { "created": "Tue, 21 Aug 2018 22:41:34 GMT", "version": "v3" } ]
2018-08-23
[ [ "Bertsekas", "Dimitri P.", "" ] ]
In this paper we discuss policy iteration methods for approximate solution of a finite-state discounted Markov decision problem, with a focus on feature-based aggregation methods and their connection with deep reinforcement learning schemes. We introduce features of the states of the original problem, and we formulate ...
1612.04512
Pedro Henrique Juliano Nardelli
Florian K\"uhnlenz and Pedro H. J. Nardelli
Agent-based Model for Spot and Balancing Electricity Markets
null
null
null
null
cs.MA q-fin.GN
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a simple, yet realistic, agent-based model of an electricity market. The proposed model combines the spot and balancing markets with a resolution of one minute, which enables a more accurate depiction of the physical properties of the power grid. As a test, we compare the results obtained from our simulati...
[ { "created": "Wed, 14 Dec 2016 07:15:18 GMT", "version": "v1" } ]
2016-12-19
[ [ "Kühnlenz", "Florian", "" ], [ "Nardelli", "Pedro H. J.", "" ] ]
We present a simple, yet realistic, agent-based model of an electricity market. The proposed model combines the spot and balancing markets with a resolution of one minute, which enables a more accurate depiction of the physical properties of the power grid. As a test, we compare the results obtained from our simulation...
1706.02672
Kumar Sankar Ray
Kumar S. Ray, Soma Chakraborty
An Efficient Approach for Object Detection and Tracking of Objects in a Video with Variable Background
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper proposes a novel approach to create an automated visual surveillance system which is very efficient in detecting and tracking moving objects in a video captured by moving camera without any apriori information about the captured scene. Separating foreground from the background is challenging job in videos ...
[ { "created": "Thu, 11 May 2017 08:23:35 GMT", "version": "v1" } ]
2017-06-09
[ [ "Ray", "Kumar S.", "" ], [ "Chakraborty", "Soma", "" ] ]
This paper proposes a novel approach to create an automated visual surveillance system which is very efficient in detecting and tracking moving objects in a video captured by moving camera without any apriori information about the captured scene. Separating foreground from the background is challenging job in videos ca...
2104.08062
Bilal Abu-Salih
Bilal Abu-Salih, Pornpit Wongthongtham, Dengya Zhu, Kit Yan Chan, Amit Rudra
Introduction to Big data Technology
null
null
10.1007/978-981-33-6652-7_2
null
cs.OH
http://creativecommons.org/licenses/by/4.0/
Big data is no more "all just hype" but widely applied in nearly all aspects of our business, governments, and organizations with the technology stack of AI. Its influences are far beyond a simple technique innovation but involves all rears in the world. This chapter will first have historical review of big data; fol...
[ { "created": "Thu, 15 Apr 2021 13:34:45 GMT", "version": "v1" } ]
2021-04-19
[ [ "Abu-Salih", "Bilal", "" ], [ "Wongthongtham", "Pornpit", "" ], [ "Zhu", "Dengya", "" ], [ "Chan", "Kit Yan", "" ], [ "Rudra", "Amit", "" ] ]
Big data is no more "all just hype" but widely applied in nearly all aspects of our business, governments, and organizations with the technology stack of AI. Its influences are far beyond a simple technique innovation but involves all rears in the world. This chapter will first have historical review of big data; follo...
1811.03882
Yoji Yamato
Yoji Yamato, Hirofumi Noguchi, Misao Kataoka, Takuma Isoda and Tatsuya Demizu
Parallel processing area extraction and data transfer number reduction for automatic GPU offloading of IoT applications
6 pages, 4 figures, in Japanese, IEICE Technical Report, SC2018-32
IEICE Technical Report, SC2018-32, Nov. 2018. (c) 2018 IEICE
null
IEICE Technical Report, SC2018-32, Nov. 2018
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
For Open IoT, we have proposed Tacit Computing technology to discover the devices that have data users need on demand and use them dynamically and an automatic GPU offloading technology as an elementary technology of Tacit Computing. However, it can improve limited applications because it only optimizes parallelizabl...
[ { "created": "Fri, 9 Nov 2018 12:38:37 GMT", "version": "v1" } ]
2018-11-14
[ [ "Yamato", "Yoji", "" ], [ "Noguchi", "Hirofumi", "" ], [ "Kataoka", "Misao", "" ], [ "Isoda", "Takuma", "" ], [ "Demizu", "Tatsuya", "" ] ]
For Open IoT, we have proposed Tacit Computing technology to discover the devices that have data users need on demand and use them dynamically and an automatic GPU offloading technology as an elementary technology of Tacit Computing. However, it can improve limited applications because it only optimizes parallelizable ...
1112.3877
Malathi Subramanian
S.Malathi, S.Sridhar
A Classical Fuzzy Approach for Software Effort Estimation on Machine Learning Technique
5 pages, 2 figures, 4 tables
null
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Software Cost Estimation with resounding reliability,productivity and development effort is a challenging and onerous task. This has incited the software community to give much needed thrust and delve into extensive research in software effort estimation for evolving sophisticated methods. Estimation by analogy is on...
[ { "created": "Fri, 16 Dec 2011 16:22:55 GMT", "version": "v1" } ]
2011-12-19
[ [ "Malathi", "S.", "" ], [ "Sridhar", "S.", "" ] ]
Software Cost Estimation with resounding reliability,productivity and development effort is a challenging and onerous task. This has incited the software community to give much needed thrust and delve into extensive research in software effort estimation for evolving sophisticated methods. Estimation by analogy is one ...
2211.11734
Karthik Shetty
Karthik Shetty, Annette Birkhold, Srikrishna Jaganathan, Norbert Strobel, Markus Kowarschik, Andreas Maier, Bernhard Egger
PLIKS: A Pseudo-Linear Inverse Kinematic Solver for 3D Human Body Estimation
CVPR2023
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce PLIKS (Pseudo-Linear Inverse Kinematic Solver) for reconstruction of a 3D mesh of the human body from a single 2D image. Current techniques directly regress the shape, pose, and translation of a parametric model from an input image through a non-linear mapping with minimal flexibility to any external inf...
[ { "created": "Mon, 21 Nov 2022 18:54:12 GMT", "version": "v1" }, { "created": "Mon, 27 Mar 2023 23:50:01 GMT", "version": "v2" } ]
2023-03-29
[ [ "Shetty", "Karthik", "" ], [ "Birkhold", "Annette", "" ], [ "Jaganathan", "Srikrishna", "" ], [ "Strobel", "Norbert", "" ], [ "Kowarschik", "Markus", "" ], [ "Maier", "Andreas", "" ], [ "Egger", "Bernhard", ...
We introduce PLIKS (Pseudo-Linear Inverse Kinematic Solver) for reconstruction of a 3D mesh of the human body from a single 2D image. Current techniques directly regress the shape, pose, and translation of a parametric model from an input image through a non-linear mapping with minimal flexibility to any external influ...
1909.13456
Zhe Gan
Wenlin Wang, Chenyang Tao, Zhe Gan, Guoyin Wang, Liqun Chen, Xinyuan Zhang, Ruiyi Zhang, Qian Yang, Ricardo Henao, Lawrence Carin
Improving Textual Network Learning with Variational Homophilic Embeddings
Accepted to NeurIPS 2019
null
null
null
cs.LG cs.CL stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The performance of many network learning applications crucially hinges on the success of network embedding algorithms, which aim to encode rich network information into low-dimensional vertex-based vector representations. This paper considers a novel variational formulation of network embeddings, with special focus o...
[ { "created": "Mon, 30 Sep 2019 05:03:25 GMT", "version": "v1" } ]
2019-10-01
[ [ "Wang", "Wenlin", "" ], [ "Tao", "Chenyang", "" ], [ "Gan", "Zhe", "" ], [ "Wang", "Guoyin", "" ], [ "Chen", "Liqun", "" ], [ "Zhang", "Xinyuan", "" ], [ "Zhang", "Ruiyi", "" ], [ "Yang", "Qian"...
The performance of many network learning applications crucially hinges on the success of network embedding algorithms, which aim to encode rich network information into low-dimensional vertex-based vector representations. This paper considers a novel variational formulation of network embeddings, with special focus on ...
1805.03190
Dmitry Kulyabov PhD
D. S. Kulyabov, M. N. Gevorkyan, A. V. Demidova, T. R. Velieva, A. V. Korolkova, L. A. Sevastianov
Implementing a Method for Stochastization of One-Step Processes in a Computer Algebra System
in English; in Russian
null
10.1134/S0361768818020044
null
cs.SC math-ph math.MP
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
When modeling such phenomena as population dynamics, controllable ows, etc., a problem arises of adapting the existing models to a phenomenon under study. For this purpose, we propose to derive new models from the rst principles by stochastization of one-step processes. Research can be represented as an iterative pro...
[ { "created": "Tue, 8 May 2018 17:48:59 GMT", "version": "v1" } ]
2018-05-09
[ [ "Kulyabov", "D. S.", "" ], [ "Gevorkyan", "M. N.", "" ], [ "Demidova", "A. V.", "" ], [ "Velieva", "T. R.", "" ], [ "Korolkova", "A. V.", "" ], [ "Sevastianov", "L. A.", "" ] ]
When modeling such phenomena as population dynamics, controllable ows, etc., a problem arises of adapting the existing models to a phenomenon under study. For this purpose, we propose to derive new models from the rst principles by stochastization of one-step processes. Research can be represented as an iterative proce...
2303.06596
Jiayang Ao
Jiayang Ao, Qiuhong Ke, Krista A. Ehinger
Amodal Intra-class Instance Segmentation: Synthetic Datasets and Benchmark
Accepted at WACV 2024. Datasets are available at https://github.com/saraao/amodal-dataset
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Images of realistic scenes often contain intra-class objects that are heavily occluded from each other, making the amodal perception task that requires parsing the occluded parts of the objects challenging. Although important for downstream tasks such as robotic grasping systems, the lack of large-scale amodal datase...
[ { "created": "Sun, 12 Mar 2023 07:28:36 GMT", "version": "v1" }, { "created": "Tue, 7 Nov 2023 11:38:32 GMT", "version": "v2" } ]
2023-11-08
[ [ "Ao", "Jiayang", "" ], [ "Ke", "Qiuhong", "" ], [ "Ehinger", "Krista A.", "" ] ]
Images of realistic scenes often contain intra-class objects that are heavily occluded from each other, making the amodal perception task that requires parsing the occluded parts of the objects challenging. Although important for downstream tasks such as robotic grasping systems, the lack of large-scale amodal datasets...
2010.04592
Joshua Robinson
Joshua Robinson, Ching-Yao Chuang, Suvrit Sra, Stefanie Jegelka
Contrastive Learning with Hard Negative Samples
Published as a conference paper at ICLR 2021
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
How can you sample good negative examples for contrastive learning? We argue that, as with metric learning, contrastive learning of representations benefits from hard negative samples (i.e., points that are difficult to distinguish from an anchor point). The key challenge toward using hard negatives is that contrasti...
[ { "created": "Fri, 9 Oct 2020 14:18:53 GMT", "version": "v1" }, { "created": "Sun, 24 Jan 2021 22:19:30 GMT", "version": "v2" } ]
2021-01-26
[ [ "Robinson", "Joshua", "" ], [ "Chuang", "Ching-Yao", "" ], [ "Sra", "Suvrit", "" ], [ "Jegelka", "Stefanie", "" ] ]
How can you sample good negative examples for contrastive learning? We argue that, as with metric learning, contrastive learning of representations benefits from hard negative samples (i.e., points that are difficult to distinguish from an anchor point). The key challenge toward using hard negatives is that contrastive...
1809.02953
Carey Ming-Li Chen
Carey Ming-Li Chen, Wen-Yau Cathy Lin
What indicators matter? The Analysis of Perception toward Research Assessment Indicators and Leiden Manifesto- The Case Study of Taiwan
Paper presented at 23rd International Conference on Science and Technology Indicators (STI 2018) in Leiden, The Netherlands
null
null
null
cs.DL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This study aims to investigate the Taiwanese researchers' awareness toward bibliometric indicators and the principles from Leiden Manifesto. The online survey was conducted and obtained a total of 417 valid responses. The results show that evoking the right concept of use of bibliometric indicators and research evalu...
[ { "created": "Sun, 9 Sep 2018 11:04:06 GMT", "version": "v1" } ]
2018-09-11
[ [ "Chen", "Carey Ming-Li", "" ], [ "Lin", "Wen-Yau Cathy", "" ] ]
This study aims to investigate the Taiwanese researchers' awareness toward bibliometric indicators and the principles from Leiden Manifesto. The online survey was conducted and obtained a total of 417 valid responses. The results show that evoking the right concept of use of bibliometric indicators and research evaluat...
2105.13718
Amin Honarmandi Shandiz
Amin Honarmandi Shandiz and L\'aszl\'o T\'oth
Voice Activity Detection for Ultrasound-based Silent Speech Interfaces using Convolutional Neural Networks
12 pages, 7 tables, 4 figures
null
10.1007/978-3-030-83527-9_43
null
cs.SD eess.AS
http://creativecommons.org/licenses/by/4.0/
Voice Activity Detection (VAD) is not easy task when the input audio signal is noisy, and it is even more complicated when the input is not even an audio recording. This is the case with Silent Speech Interfaces (SSI) where we record the movement of the articulatory organs during speech, and we aim to reconstruct the...
[ { "created": "Fri, 28 May 2021 10:33:22 GMT", "version": "v1" }, { "created": "Thu, 3 Jun 2021 11:40:48 GMT", "version": "v2" }, { "created": "Sat, 18 Sep 2021 20:47:32 GMT", "version": "v3" } ]
2021-09-21
[ [ "Shandiz", "Amin Honarmandi", "" ], [ "Tóth", "László", "" ] ]
Voice Activity Detection (VAD) is not easy task when the input audio signal is noisy, and it is even more complicated when the input is not even an audio recording. This is the case with Silent Speech Interfaces (SSI) where we record the movement of the articulatory organs during speech, and we aim to reconstruct the s...
2307.10201
Luyao Zhang
Luyao Zhang, Yutong Sun, Yutong Quan, Jiaxun Cao, Xin Tong
On the Mechanics of NFT Valuation: AI Ethics and Social Media
Presented at ChainScience Conference, 2003 (arXiv:2307.03277v2 [cs.DC] 11 Jul 2023)
null
10.31219/osf.io/qwpdx
ChainScience/2023/16
cs.CY cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
As CryptoPunks pioneers the innovation of non-fungible tokens (NFTs) in AI and art, the valuation mechanics of NFTs has become a trending topic. Earlier research identifies the impact of ethics and society on the price prediction of CryptoPunks. Since the booming year of the NFT market in 2021, the discussion of Cryp...
[ { "created": "Thu, 13 Jul 2023 03:12:00 GMT", "version": "v1" }, { "created": "Fri, 21 Jul 2023 10:40:36 GMT", "version": "v2" } ]
2023-07-24
[ [ "Zhang", "Luyao", "" ], [ "Sun", "Yutong", "" ], [ "Quan", "Yutong", "" ], [ "Cao", "Jiaxun", "" ], [ "Tong", "Xin", "" ] ]
As CryptoPunks pioneers the innovation of non-fungible tokens (NFTs) in AI and art, the valuation mechanics of NFTs has become a trending topic. Earlier research identifies the impact of ethics and society on the price prediction of CryptoPunks. Since the booming year of the NFT market in 2021, the discussion of Crypto...
2007.01790
Jihong Park
Anis Elgabli, Jihong Park, Chaouki Ben Issaid, Mehdi Bennis
Harnessing Wireless Channels for Scalable and Privacy-Preserving Federated Learning
14 pages, 7 figures; This article has been submitted to IEEE for possible publication
null
null
null
cs.LG cs.IT cs.NI math.IT stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Wireless connectivity is instrumental in enabling scalable federated learning (FL), yet wireless channels bring challenges for model training, in which channel randomness perturbs each worker's model update while multiple workers' updates incur significant interference under limited bandwidth. To address these challe...
[ { "created": "Fri, 3 Jul 2020 16:31:15 GMT", "version": "v1" }, { "created": "Tue, 17 Nov 2020 09:17:13 GMT", "version": "v2" } ]
2020-11-18
[ [ "Elgabli", "Anis", "" ], [ "Park", "Jihong", "" ], [ "Issaid", "Chaouki Ben", "" ], [ "Bennis", "Mehdi", "" ] ]
Wireless connectivity is instrumental in enabling scalable federated learning (FL), yet wireless channels bring challenges for model training, in which channel randomness perturbs each worker's model update while multiple workers' updates incur significant interference under limited bandwidth. To address these challeng...
2405.14001
Sander Beckers
Sander Beckers
Nondeterministic Causal Models
Preliminary version: currently under review
null
null
null
cs.AI
http://creativecommons.org/licenses/by/4.0/
I generalize acyclic deterministic structural equation models to the nondeterministic case and argue that it offers an improved semantics for counterfactuals. The standard, deterministic, semantics developed by Halpern (and based on the initial proposal of Galles & Pearl) assumes that for each assignment of values to...
[ { "created": "Wed, 22 May 2024 21:17:52 GMT", "version": "v1" } ]
2024-05-24
[ [ "Beckers", "Sander", "" ] ]
I generalize acyclic deterministic structural equation models to the nondeterministic case and argue that it offers an improved semantics for counterfactuals. The standard, deterministic, semantics developed by Halpern (and based on the initial proposal of Galles & Pearl) assumes that for each assignment of values to p...
1812.07103
Omar Mohammed
Omar Mohammed, Gerard Bailly, Damien Pellier
Style Transfer and Extraction for the Handwritten Letters Using Deep Learning
Accepted in ICAART 2019
null
null
null
cs.CV cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
How can we learn, transfer and extract handwriting styles using deep neural networks? This paper explores these questions using a deep conditioned autoencoder on the IRON-OFF handwriting data-set. We perform three experiments that systematically explore the quality of our style extraction procedure. First, We compare...
[ { "created": "Mon, 10 Dec 2018 13:38:46 GMT", "version": "v1" } ]
2018-12-19
[ [ "Mohammed", "Omar", "" ], [ "Bailly", "Gerard", "" ], [ "Pellier", "Damien", "" ] ]
How can we learn, transfer and extract handwriting styles using deep neural networks? This paper explores these questions using a deep conditioned autoencoder on the IRON-OFF handwriting data-set. We perform three experiments that systematically explore the quality of our style extraction procedure. First, We compare o...
2208.02114
Ekrem Fatih Y{\i}lmazer
Ekrem Fatih Y{\i}lmazer, Delio Vicini, Wenzel Jakob
Solving Inverse PDE Problems using Grid-Free Monte Carlo Estimators
9 pages (2 pages references and appendix), 9 figures
null
null
null
cs.GR math.AP
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Modeling physical phenomena like heat transport and diffusion is crucially dependent on the numerical solution of partial differential equations (PDEs). A PDE solver finds the solution given coefficients and a boundary condition, whereas an inverse PDE solver goes the opposite way and reconstructs these inputs from a...
[ { "created": "Wed, 3 Aug 2022 14:44:40 GMT", "version": "v1" } ]
2022-08-04
[ [ "Yılmazer", "Ekrem Fatih", "" ], [ "Vicini", "Delio", "" ], [ "Jakob", "Wenzel", "" ] ]
Modeling physical phenomena like heat transport and diffusion is crucially dependent on the numerical solution of partial differential equations (PDEs). A PDE solver finds the solution given coefficients and a boundary condition, whereas an inverse PDE solver goes the opposite way and reconstructs these inputs from an ...
2001.00285
Thanh Nho Do
Mai Thanh Thai, Phuoc Thien Phan, Shing Wong, Nigel H. Lovell, Thanh Nho Do
Advanced Intelligent Systems for Surgical Robotics
76 pages, 23 figures, 1 table
null
null
null
cs.RO
http://creativecommons.org/licenses/by-nc-sa/4.0/
Surgical robots have had clinical use since the mid 1990s. Robot-assisted surgeries offer many benefits over the conventional approach including lower risk of infection and blood loss, shorter recovery, and an overall safer procedure for patients. The past few decades have shown many emerging surgical robotic platfor...
[ { "created": "Thu, 2 Jan 2020 00:30:32 GMT", "version": "v1" } ]
2020-01-03
[ [ "Thai", "Mai Thanh", "" ], [ "Phan", "Phuoc Thien", "" ], [ "Wong", "Shing", "" ], [ "Lovell", "Nigel H.", "" ], [ "Do", "Thanh Nho", "" ] ]
Surgical robots have had clinical use since the mid 1990s. Robot-assisted surgeries offer many benefits over the conventional approach including lower risk of infection and blood loss, shorter recovery, and an overall safer procedure for patients. The past few decades have shown many emerging surgical robotic platforms...
2304.14459
Sriniwas Pandey
Sriniwas Pandey, Yiding Cao, Yingjun Dong, Minjun Kim, Neil G. MacLaren, Shelley D. Dionne, Francis J. Yammarino, and Hiroki Sayama
Generation and Influence of Eccentric Ideas on Social Networks
15 pages, 3 figures
null
null
null
cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Studying extreme ideas in routine choices and discussions is of utmost importance to understand the increasing polarization in society. In this study, we focus on understanding the generation and influence of extreme ideas in routine conversations which we label "eccentric" ideas. The eccentricity of any idea is defi...
[ { "created": "Thu, 27 Apr 2023 18:34:39 GMT", "version": "v1" } ]
2023-05-01
[ [ "Pandey", "Sriniwas", "" ], [ "Cao", "Yiding", "" ], [ "Dong", "Yingjun", "" ], [ "Kim", "Minjun", "" ], [ "MacLaren", "Neil G.", "" ], [ "Dionne", "Shelley D.", "" ], [ "Yammarino", "Francis J.", "" ], ...
Studying extreme ideas in routine choices and discussions is of utmost importance to understand the increasing polarization in society. In this study, we focus on understanding the generation and influence of extreme ideas in routine conversations which we label "eccentric" ideas. The eccentricity of any idea is define...
1502.04095
J.T. Geneson
Jesse Geneson, Peter Tian
Sequences of formation width $4$ and alternation length $5$
20 pages
null
null
null
cs.DM math.CO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sequence pattern avoidance is a central topic in combinatorics. A sequence $s$ contains a sequence $u$ if some subsequence of $s$ can be changed into $u$ by a one-to-one renaming of its letters. If $s$ does not contain $u$, then $s$ avoids $u$. A widely studied extremal function related to pattern avoidance is $Ex(u,...
[ { "created": "Fri, 13 Feb 2015 19:13:02 GMT", "version": "v1" } ]
2015-02-16
[ [ "Geneson", "Jesse", "" ], [ "Tian", "Peter", "" ] ]
Sequence pattern avoidance is a central topic in combinatorics. A sequence $s$ contains a sequence $u$ if some subsequence of $s$ can be changed into $u$ by a one-to-one renaming of its letters. If $s$ does not contain $u$, then $s$ avoids $u$. A widely studied extremal function related to pattern avoidance is $Ex(u, n...
2407.05961
Eran Ben-Haim
Geron Yamit, Ben-Haim Eran, Gat D. Amir, Or Yizhar, Givli Sefi
Dynamic single-input control of multi-state multi-transition soft robotic actuator
6 figures
null
null
null
cs.RO physics.app-ph
http://creativecommons.org/licenses/by/4.0/
Soft robotics is an attractive and rapidly emerging field, in which actuation is coupled with the elastic response of the robot's structure to achieve complex deformation patterns. A crucial challenge is the need for multiple control inputs, which adds significant complication to the system. We propose a novel concep...
[ { "created": "Mon, 8 Jul 2024 13:59:42 GMT", "version": "v1" }, { "created": "Mon, 22 Jul 2024 13:44:30 GMT", "version": "v2" } ]
2024-07-23
[ [ "Yamit", "Geron", "" ], [ "Eran", "Ben-Haim", "" ], [ "Amir", "Gat D.", "" ], [ "Yizhar", "Or", "" ], [ "Sefi", "Givli", "" ] ]
Soft robotics is an attractive and rapidly emerging field, in which actuation is coupled with the elastic response of the robot's structure to achieve complex deformation patterns. A crucial challenge is the need for multiple control inputs, which adds significant complication to the system. We propose a novel concept ...
1809.02403
Kan Ren
Kan Ren, Jiarui Qin, Lei Zheng, Zhengyu Yang, Weinan Zhang, Lin Qiu, Yong Yu
Deep Recurrent Survival Analysis
AAAI 2019. Supplemental material, slides, code: https://github.com/rk2900/drsa
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Survival analysis is a hotspot in statistical research for modeling time-to-event information with data censorship handling, which has been widely used in many applications such as clinical research, information system and other fields with survivorship bias. Many works have been proposed for survival analysis rangin...
[ { "created": "Fri, 7 Sep 2018 11:13:44 GMT", "version": "v1" }, { "created": "Tue, 13 Nov 2018 11:40:19 GMT", "version": "v2" } ]
2018-11-14
[ [ "Ren", "Kan", "" ], [ "Qin", "Jiarui", "" ], [ "Zheng", "Lei", "" ], [ "Yang", "Zhengyu", "" ], [ "Zhang", "Weinan", "" ], [ "Qiu", "Lin", "" ], [ "Yu", "Yong", "" ] ]
Survival analysis is a hotspot in statistical research for modeling time-to-event information with data censorship handling, which has been widely used in many applications such as clinical research, information system and other fields with survivorship bias. Many works have been proposed for survival analysis ranging ...
cs/0510028
Victor Grishchenko
Victor S. Grishchenko
Geo-aggregation permits low stretch and routing tables of logarithmical size
6 pages
null
null
null
cs.NI
null
This article first addresses applicability of Euclidean models to the domain of Internet routing. Those models are found (limitedly) applicable. Then a simplistic model of routing is constructed for Euclidean plane densely covered with points-routers. The model guarantees low stretch and logarithmical size of routing...
[ { "created": "Tue, 11 Oct 2005 16:20:28 GMT", "version": "v1" } ]
2007-05-23
[ [ "Grishchenko", "Victor S.", "" ] ]
This article first addresses applicability of Euclidean models to the domain of Internet routing. Those models are found (limitedly) applicable. Then a simplistic model of routing is constructed for Euclidean plane densely covered with points-routers. The model guarantees low stretch and logarithmical size of routing t...
2202.03697
Nishad Gothoskar
Nishad Gothoskar, Miguel L\'azaro-Gredilla, Yasemin Bekiroglu, Abhishek Agarwal, Joshua B. Tenenbaum, Vikash K. Mansinghka, Dileep George
DURableVS: Data-efficient Unsupervised Recalibrating Visual Servoing via online learning in a structured generative model
null
null
null
null
cs.RO
http://creativecommons.org/licenses/by/4.0/
Visual servoing enables robotic systems to perform accurate closed-loop control, which is required in many applications. However, existing methods either require precise calibration of the robot kinematic model and cameras or use neural architectures that require large amounts of data to train. In this work, we prese...
[ { "created": "Tue, 8 Feb 2022 07:44:20 GMT", "version": "v1" } ]
2022-02-09
[ [ "Gothoskar", "Nishad", "" ], [ "Lázaro-Gredilla", "Miguel", "" ], [ "Bekiroglu", "Yasemin", "" ], [ "Agarwal", "Abhishek", "" ], [ "Tenenbaum", "Joshua B.", "" ], [ "Mansinghka", "Vikash K.", "" ], [ "George", ...
Visual servoing enables robotic systems to perform accurate closed-loop control, which is required in many applications. However, existing methods either require precise calibration of the robot kinematic model and cameras or use neural architectures that require large amounts of data to train. In this work, we present...
0809.3546
Danilo Silva
Danilo Silva, Frank R. Kschischang
Universal Secure Network Coding via Rank-Metric Codes
12 pages, 1 figure, substantially rewritten and improved. Submitted to IEEE Transactions on Information Theory
IEEE Transactions on Information Theory, vol. 57, no. 2, pp. 1124-1135, Feb. 2011
10.1109/TIT.2010.2090212
null
cs.IT cs.CR math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The problem of securing a network coding communication system against an eavesdropper adversary is considered. The network implements linear network coding to deliver n packets from source to each receiver, and the adversary can eavesdrop on \mu arbitrarily chosen links. The objective is to provide reliable communica...
[ { "created": "Sun, 21 Sep 2008 02:16:18 GMT", "version": "v1" }, { "created": "Tue, 27 Apr 2010 04:21:21 GMT", "version": "v2" } ]
2019-05-07
[ [ "Silva", "Danilo", "" ], [ "Kschischang", "Frank R.", "" ] ]
The problem of securing a network coding communication system against an eavesdropper adversary is considered. The network implements linear network coding to deliver n packets from source to each receiver, and the adversary can eavesdrop on \mu arbitrarily chosen links. The objective is to provide reliable communicati...
2011.07960
Yikang Shen
Yikang Shen, Shawn Tan, Alessandro Sordoni, Siva Reddy, Aaron Courville
Explicitly Modeling Syntax in Language Models with Incremental Parsing and a Dynamic Oracle
12 pages, 10 figures
NAACL 2021
null
null
cs.CL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Syntax is fundamental to our thinking about language. Failing to capture the structure of input language could lead to generalization problems and over-parametrization. In the present work, we propose a new syntax-aware language model: Syntactic Ordered Memory (SOM). The model explicitly models the structure with an ...
[ { "created": "Wed, 21 Oct 2020 17:39:15 GMT", "version": "v1" }, { "created": "Mon, 10 May 2021 18:13:41 GMT", "version": "v2" } ]
2021-05-12
[ [ "Shen", "Yikang", "" ], [ "Tan", "Shawn", "" ], [ "Sordoni", "Alessandro", "" ], [ "Reddy", "Siva", "" ], [ "Courville", "Aaron", "" ] ]
Syntax is fundamental to our thinking about language. Failing to capture the structure of input language could lead to generalization problems and over-parametrization. In the present work, we propose a new syntax-aware language model: Syntactic Ordered Memory (SOM). The model explicitly models the structure with an in...
2005.01584
Betis Baheri
Betis Baheri, Jacob Tronge, Bo Fang, Ang Li, Vipin Chaudhary and Qiang Guan
MARS: Malleable Actor-Critic Reinforcement Learning Scheduler
10 pages, HPC, Cloud System, Scheduling, Workflow Management, Reinforcement Learning, Deep Learning
2022 IEEE International Performance Computing and Communications Conference (IPCCC) 217-226
10.1109/IPCCC55026.2022.9894315
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we introduce MARS, a new scheduling system for HPC-cloud infrastructures based on a cost-aware, flexible reinforcement learning approach, which serves as an intermediate layer for next generation HPC-cloud resource manager. MARS ensembles the pre-trained models from heuristic workloads and decides on t...
[ { "created": "Mon, 4 May 2020 15:51:41 GMT", "version": "v1" }, { "created": "Mon, 22 Aug 2022 18:08:06 GMT", "version": "v2" }, { "created": "Fri, 23 Dec 2022 07:14:29 GMT", "version": "v3" } ]
2022-12-26
[ [ "Baheri", "Betis", "" ], [ "Tronge", "Jacob", "" ], [ "Fang", "Bo", "" ], [ "Li", "Ang", "" ], [ "Chaudhary", "Vipin", "" ], [ "Guan", "Qiang", "" ] ]
In this paper, we introduce MARS, a new scheduling system for HPC-cloud infrastructures based on a cost-aware, flexible reinforcement learning approach, which serves as an intermediate layer for next generation HPC-cloud resource manager. MARS ensembles the pre-trained models from heuristic workloads and decides on the...
2304.12939
Carlos Eduardo Cancino-Chac\'on
Carlos Cancino-Chac\'on, Silvan Peter, Patricia Hu, Emmanouil Karystinaios, Florian Henkel, Francesco Foscarin, Nimrod Varga, Gerhard Widmer
The ACCompanion: Combining Reactivity, Robustness, and Musical Expressivity in an Automatic Piano Accompanist
In Proceedings of the 32nd International Joint Conference on Artificial Intelligence (IJCAI-23), Macao, China. The differences/extensions with the previous version include a technical appendix, added missing links, and minor text updates. 10 pages, 4 figures
null
null
null
cs.SD cs.HC eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper introduces the ACCompanion, an expressive accompaniment system. Similarly to a musician who accompanies a soloist playing a given musical piece, our system can produce a human-like rendition of the accompaniment part that follows the soloist's choices in terms of tempo, dynamics, and articulation. The ACCo...
[ { "created": "Mon, 24 Apr 2023 05:19:52 GMT", "version": "v1" }, { "created": "Tue, 30 May 2023 14:53:47 GMT", "version": "v2" } ]
2023-05-31
[ [ "Cancino-Chacón", "Carlos", "" ], [ "Peter", "Silvan", "" ], [ "Hu", "Patricia", "" ], [ "Karystinaios", "Emmanouil", "" ], [ "Henkel", "Florian", "" ], [ "Foscarin", "Francesco", "" ], [ "Varga", "Nimrod", ...
This paper introduces the ACCompanion, an expressive accompaniment system. Similarly to a musician who accompanies a soloist playing a given musical piece, our system can produce a human-like rendition of the accompaniment part that follows the soloist's choices in terms of tempo, dynamics, and articulation. The ACComp...
2405.03660
Sankalp Sinha
Sankalp Sinha, Muhammad Saif Ullah Khan, Talha Uddin Sheikh, Didier Stricker and Muhammad Zeshan Afzal
CICA: Content-Injected Contrastive Alignment for Zero-Shot Document Image Classification
18 Pages, 4 Figures and Accepted in ICDAR 2024
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Zero-shot learning has been extensively investigated in the broader field of visual recognition, attracting significant interest recently. However, the current work on zero-shot learning in document image classification remains scarce. The existing studies either focus exclusively on zero-shot inference, or their eva...
[ { "created": "Mon, 6 May 2024 17:37:23 GMT", "version": "v1" } ]
2024-05-07
[ [ "Sinha", "Sankalp", "" ], [ "Khan", "Muhammad Saif Ullah", "" ], [ "Sheikh", "Talha Uddin", "" ], [ "Stricker", "Didier", "" ], [ "Afzal", "Muhammad Zeshan", "" ] ]
Zero-shot learning has been extensively investigated in the broader field of visual recognition, attracting significant interest recently. However, the current work on zero-shot learning in document image classification remains scarce. The existing studies either focus exclusively on zero-shot inference, or their evalu...
2302.08761
Moritz Neun
Moritz Neun, Christian Eichenberger, Yanan Xin, Cheng Fu, Nina Wiedemann, Henry Martin, Martin Tomko, Lukas Amb\"uhl, Luca Hermes, Michael Kopp
Metropolitan Segment Traffic Speeds from Massive Floating Car Data in 10 Cities
Accepted by IEEE Transactions on Intelligent Transportation Systems (T-ITS), DOI: https://doi.org/10.1109/TITS.2023.3291737
IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2023
10.1109/TITS.2023.3291737
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Traffic analysis is crucial for urban operations and planning, while the availability of dense urban traffic data beyond loop detectors is still scarce. We present a large-scale floating vehicle dataset of per-street segment traffic information, Metropolitan Segment Traffic Speeds from Massive Floating Car Data in 10...
[ { "created": "Fri, 17 Feb 2023 08:56:07 GMT", "version": "v1" }, { "created": "Thu, 20 Apr 2023 08:28:46 GMT", "version": "v2" }, { "created": "Thu, 31 Aug 2023 16:21:10 GMT", "version": "v3" } ]
2023-09-01
[ [ "Neun", "Moritz", "" ], [ "Eichenberger", "Christian", "" ], [ "Xin", "Yanan", "" ], [ "Fu", "Cheng", "" ], [ "Wiedemann", "Nina", "" ], [ "Martin", "Henry", "" ], [ "Tomko", "Martin", "" ], [ "Ambü...
Traffic analysis is crucial for urban operations and planning, while the availability of dense urban traffic data beyond loop detectors is still scarce. We present a large-scale floating vehicle dataset of per-street segment traffic information, Metropolitan Segment Traffic Speeds from Massive Floating Car Data in 10 C...
1711.00745
Miguel Calvo-Fullana
Miguel Calvo-Fullana, Carles Ant\'on-Haro, Javier Matamoros, Alejandro Ribeiro
Stochastic Routing and Scheduling Policies for Energy Harvesting Communication Networks
null
null
10.1109/TSP.2018.2833814
null
cs.IT math.IT math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we study the joint routing-scheduling problem in energy harvesting communication networks. Our policies, which are based on stochastic subgradient methods on the dual domain, act as an energy harvesting variant of the stochastic family of backpresure algorithms. Specifically, we propose two policies: (...
[ { "created": "Thu, 2 Nov 2017 13:54:24 GMT", "version": "v1" } ]
2018-07-04
[ [ "Calvo-Fullana", "Miguel", "" ], [ "Antón-Haro", "Carles", "" ], [ "Matamoros", "Javier", "" ], [ "Ribeiro", "Alejandro", "" ] ]
In this paper, we study the joint routing-scheduling problem in energy harvesting communication networks. Our policies, which are based on stochastic subgradient methods on the dual domain, act as an energy harvesting variant of the stochastic family of backpresure algorithms. Specifically, we propose two policies: (i)...
1711.00267
Wenbin Li
Wenbin Li, Jeannette Bohg, Mario Fritz
Acquiring Target Stacking Skills by Goal-Parameterized Deep Reinforcement Learning
null
null
null
null
cs.RO cs.AI cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Understanding physical phenomena is a key component of human intelligence and enables physical interaction with previously unseen environments. In this paper, we study how an artificial agent can autonomously acquire this intuition through interaction with the environment. We created a synthetic block stacking enviro...
[ { "created": "Wed, 1 Nov 2017 10:04:29 GMT", "version": "v1" }, { "created": "Wed, 22 Nov 2017 11:38:17 GMT", "version": "v2" } ]
2017-11-23
[ [ "Li", "Wenbin", "" ], [ "Bohg", "Jeannette", "" ], [ "Fritz", "Mario", "" ] ]
Understanding physical phenomena is a key component of human intelligence and enables physical interaction with previously unseen environments. In this paper, we study how an artificial agent can autonomously acquire this intuition through interaction with the environment. We created a synthetic block stacking environm...
2010.12280
Zahra Motaqy
Z. Motaqy, G. Almashaqbeh, B. Bahrak and N.Yazdani
Bet and Attack: Incentive Compatible Collaborative Attacks Using Smart Contracts
Final Version
null
10.1007/978-3-030-90370-1_16
null
cs.GT cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Smart contract-enabled blockchains allow building decentralized applications in which mutually-distrusted parties can work together. Recently, oracle services emerged to provide these applications with real-world data feeds. Unfortunately, these capabilities have been used for malicious purposes under what is called ...
[ { "created": "Fri, 23 Oct 2020 10:21:53 GMT", "version": "v1" }, { "created": "Sun, 11 Apr 2021 08:04:20 GMT", "version": "v2" }, { "created": "Sun, 19 Sep 2021 00:34:32 GMT", "version": "v3" }, { "created": "Thu, 23 Sep 2021 20:46:11 GMT", "version": "v4" } ]
2021-12-24
[ [ "Motaqy", "Z.", "" ], [ "Almashaqbeh", "G.", "" ], [ "Bahrak", "B.", "" ], [ "Yazdani", "N.", "" ] ]
Smart contract-enabled blockchains allow building decentralized applications in which mutually-distrusted parties can work together. Recently, oracle services emerged to provide these applications with real-world data feeds. Unfortunately, these capabilities have been used for malicious purposes under what is called cr...
1607.08098
Carlos Leandro
Carlos Leandro and Helder Pita and Lu\'is Monteiro
The Actias system: supervised multi-strategy learning paradigm using categorical logic
9 pages, 6 figures, conference ICKEDS'04
null
null
null
cs.DB cs.AI cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
One of the most difficult problems in the development of intelligent systems is the construction of the underlying knowledge base. As a consequence, the rate of progress in the development of this type of system is directly related to the speed with which knowledge bases can be assembled, and on its quality. We attem...
[ { "created": "Fri, 6 May 2016 20:04:40 GMT", "version": "v1" } ]
2016-07-28
[ [ "Leandro", "Carlos", "" ], [ "Pita", "Helder", "" ], [ "Monteiro", "Luís", "" ] ]
One of the most difficult problems in the development of intelligent systems is the construction of the underlying knowledge base. As a consequence, the rate of progress in the development of this type of system is directly related to the speed with which knowledge bases can be assembled, and on its quality. We attempt...
1104.2756
Tanzima Hashem
Tanzima Hashem, Lars Kulik, Rui Zhang
Privacy Preserving Moving KNN Queries
null
null
null
null
cs.DB
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a novel approach that protects trajectory privacy of users who access location-based services through a moving k nearest neighbor (MkNN) query. An MkNN query continuously returns the k nearest data objects for a moving user (query point). Simply updating a user's imprecise location such as a region instead...
[ { "created": "Thu, 14 Apr 2011 13:28:08 GMT", "version": "v1" } ]
2011-04-15
[ [ "Hashem", "Tanzima", "" ], [ "Kulik", "Lars", "" ], [ "Zhang", "Rui", "" ] ]
We present a novel approach that protects trajectory privacy of users who access location-based services through a moving k nearest neighbor (MkNN) query. An MkNN query continuously returns the k nearest data objects for a moving user (query point). Simply updating a user's imprecise location such as a region instead o...
2401.06321
Wonjune Kang
Wonjune Kang, Yun Wang, Shun Zhang, Arthur Hinsvark, Qing He
Multi-Task Learning for Front-End Text Processing in TTS
ICASSP 2024
null
10.1109/ICASSP48485.2024.10446241
null
cs.CL
http://creativecommons.org/licenses/by-nc-sa/4.0/
We propose a multi-task learning (MTL) model for jointly performing three tasks that are commonly solved in a text-to-speech (TTS) front-end: text normalization (TN), part-of-speech (POS) tagging, and homograph disambiguation (HD). Our framework utilizes a tree-like structure with a trunk that learns shared represent...
[ { "created": "Fri, 12 Jan 2024 02:13:21 GMT", "version": "v1" } ]
2024-04-04
[ [ "Kang", "Wonjune", "" ], [ "Wang", "Yun", "" ], [ "Zhang", "Shun", "" ], [ "Hinsvark", "Arthur", "" ], [ "He", "Qing", "" ] ]
We propose a multi-task learning (MTL) model for jointly performing three tasks that are commonly solved in a text-to-speech (TTS) front-end: text normalization (TN), part-of-speech (POS) tagging, and homograph disambiguation (HD). Our framework utilizes a tree-like structure with a trunk that learns shared representat...
2102.01187
Peiye Zhuang
Peiye Zhuang, Oluwasanmi Koyejo, Alexander G. Schwing
Enjoy Your Editing: Controllable GANs for Image Editing via Latent Space Navigation
Accepted to ICLR 2021. 14 pages, 15 figures
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Controllable semantic image editing enables a user to change entire image attributes with a few clicks, e.g., gradually making a summer scene look like it was taken in winter. Classic approaches for this task use a Generative Adversarial Net (GAN) to learn a latent space and suitable latent-space transformations. How...
[ { "created": "Mon, 1 Feb 2021 21:38:36 GMT", "version": "v1" }, { "created": "Wed, 3 Feb 2021 07:21:18 GMT", "version": "v2" }, { "created": "Sun, 28 Mar 2021 20:04:36 GMT", "version": "v3" } ]
2021-03-30
[ [ "Zhuang", "Peiye", "" ], [ "Koyejo", "Oluwasanmi", "" ], [ "Schwing", "Alexander G.", "" ] ]
Controllable semantic image editing enables a user to change entire image attributes with a few clicks, e.g., gradually making a summer scene look like it was taken in winter. Classic approaches for this task use a Generative Adversarial Net (GAN) to learn a latent space and suitable latent-space transformations. Howev...
2103.04188
Qinheping Hu
Qinheping Hu, John Cyphert, Loris D'Antoni, Thomas Reps
Synthesis with Asymptotic Resource Bounds
null
null
null
null
cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a method for synthesizing recursive functions that satisfy both a functional specification and an asymptotic resource bound. Prior methods for synthesis with a resource metric require the user to specify a concrete expression exactly describing resource usage, whereas our method uses big-O notation to spec...
[ { "created": "Sat, 6 Mar 2021 20:03:50 GMT", "version": "v1" }, { "created": "Wed, 26 May 2021 05:16:44 GMT", "version": "v2" } ]
2021-05-27
[ [ "Hu", "Qinheping", "" ], [ "Cyphert", "John", "" ], [ "D'Antoni", "Loris", "" ], [ "Reps", "Thomas", "" ] ]
We present a method for synthesizing recursive functions that satisfy both a functional specification and an asymptotic resource bound. Prior methods for synthesis with a resource metric require the user to specify a concrete expression exactly describing resource usage, whereas our method uses big-O notation to specif...
1812.08868
Tom Hanika
Tom Hanika and Maren Koyda and Gerd Stumme
Relevant Attributes in Formal Contexts
14 pages, 5 figures
null
10.1007/978-3-030-23182-8_8
null
cs.AI cs.IT cs.LG math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Computing conceptual structures, like formal concept lattices, is in the age of massive data sets a challenging task. There are various approaches to deal with this, e.g., random sampling, parallelization, or attribute extraction. A so far not investigated method in the realm of formal concept analysis is attribute s...
[ { "created": "Thu, 20 Dec 2018 22:07:16 GMT", "version": "v1" } ]
2020-02-28
[ [ "Hanika", "Tom", "" ], [ "Koyda", "Maren", "" ], [ "Stumme", "Gerd", "" ] ]
Computing conceptual structures, like formal concept lattices, is in the age of massive data sets a challenging task. There are various approaches to deal with this, e.g., random sampling, parallelization, or attribute extraction. A so far not investigated method in the realm of formal concept analysis is attribute sel...
1805.02442
Vered Shwartz
Vered Shwartz and Ido Dagan
Paraphrase to Explicate: Revealing Implicit Noun-Compound Relations
Long paper at ACL 2018
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Revealing the implicit semantic relation between the constituents of a noun-compound is important for many NLP applications. It has been addressed in the literature either as a classification task to a set of pre-defined relations or by producing free text paraphrases explicating the relations. Most existing paraphra...
[ { "created": "Mon, 7 May 2018 11:14:07 GMT", "version": "v1" } ]
2018-05-08
[ [ "Shwartz", "Vered", "" ], [ "Dagan", "Ido", "" ] ]
Revealing the implicit semantic relation between the constituents of a noun-compound is important for many NLP applications. It has been addressed in the literature either as a classification task to a set of pre-defined relations or by producing free text paraphrases explicating the relations. Most existing paraphrasi...
2401.08461
J\'er\^ome Botoko Ekila
J\'er\^ome Botoko Ekila, Jens Nevens, Lara Verheyen, Katrien Beuls, Paul Van Eecke
Decentralised Emergence of Robust and Adaptive Linguistic Conventions in Populations of Autonomous Agents Grounded in Continuous Worlds
null
null
null
null
cs.AI cs.CL cs.NE
http://creativecommons.org/licenses/by-nc-nd/4.0/
This paper introduces a methodology through which a population of autonomous agents can establish a linguistic convention that enables them to refer to arbitrary entities that they observe in their environment. The linguistic convention emerges in a decentralised manner through local communicative interactions betwee...
[ { "created": "Tue, 16 Jan 2024 16:11:35 GMT", "version": "v1" } ]
2024-01-17
[ [ "Ekila", "Jérôme Botoko", "" ], [ "Nevens", "Jens", "" ], [ "Verheyen", "Lara", "" ], [ "Beuls", "Katrien", "" ], [ "Van Eecke", "Paul", "" ] ]
This paper introduces a methodology through which a population of autonomous agents can establish a linguistic convention that enables them to refer to arbitrary entities that they observe in their environment. The linguistic convention emerges in a decentralised manner through local communicative interactions between ...
2312.15901
Zixian Guo
Zixian Guo, Yuxiang Wei, Ming Liu, Zhilong Ji, Jinfeng Bai, Yiwen Guo, Wangmeng Zuo
Black-Box Tuning of Vision-Language Models with Effective Gradient Approximation
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Parameter-efficient fine-tuning (PEFT) methods have provided an effective way for adapting large vision-language models to specific tasks or scenarios. Typically, they learn a very small scale of parameters for pre-trained models in a white-box formulation, which assumes model architectures to be known and parameters...
[ { "created": "Tue, 26 Dec 2023 06:31:28 GMT", "version": "v1" } ]
2023-12-27
[ [ "Guo", "Zixian", "" ], [ "Wei", "Yuxiang", "" ], [ "Liu", "Ming", "" ], [ "Ji", "Zhilong", "" ], [ "Bai", "Jinfeng", "" ], [ "Guo", "Yiwen", "" ], [ "Zuo", "Wangmeng", "" ] ]
Parameter-efficient fine-tuning (PEFT) methods have provided an effective way for adapting large vision-language models to specific tasks or scenarios. Typically, they learn a very small scale of parameters for pre-trained models in a white-box formulation, which assumes model architectures to be known and parameters t...
1511.08972
Guanping Lu Dr.
Guanping Lu, Robert C. Qiu, Wenxian Yu
Uplink One-tone Filtered Multitone Modulation Transmission for Machine Type Communications
This paper has been withdrawn by the author due to the paper has something wrong
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
To accommodate current machine type communications (MTC), an uplink waveform is proposed where MTC nodes use one carrier to transmit signal, and central nodes demodulate different nodes' signal jointly. Furthermore, the carrier bandwidth is variable to fit for the channels of nodes. This waveform may reduce the hardw...
[ { "created": "Sun, 29 Nov 2015 06:10:18 GMT", "version": "v1" }, { "created": "Mon, 14 Dec 2015 07:09:33 GMT", "version": "v2" } ]
2015-12-15
[ [ "Lu", "Guanping", "" ], [ "Qiu", "Robert C.", "" ], [ "Yu", "Wenxian", "" ] ]
To accommodate current machine type communications (MTC), an uplink waveform is proposed where MTC nodes use one carrier to transmit signal, and central nodes demodulate different nodes' signal jointly. Furthermore, the carrier bandwidth is variable to fit for the channels of nodes. This waveform may reduce the hardwar...
1007.1100
Jalaluddin Qureshi
Chuan Heng Foh, Jianfei Cai, and Jalaluddin Qureshi
Collision Codes: Decoding Superimposed BPSK Modulated Wireless Transmissions
null
null
10.1109/CCNC.2010.5421745
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The introduction of physical layer network coding gives rise to the concept of turning a collision of transmissions on a wireless channel useful. In the idea of physical layer network coding, two synchronized simultaneous packet transmissions are carefully encoded such that the superimposed transmission can be decode...
[ { "created": "Wed, 7 Jul 2010 10:34:34 GMT", "version": "v1" } ]
2010-07-08
[ [ "Foh", "Chuan Heng", "" ], [ "Cai", "Jianfei", "" ], [ "Qureshi", "Jalaluddin", "" ] ]
The introduction of physical layer network coding gives rise to the concept of turning a collision of transmissions on a wireless channel useful. In the idea of physical layer network coding, two synchronized simultaneous packet transmissions are carefully encoded such that the superimposed transmission can be decoded ...
1502.04148
James Voss
James Voss, Mikhail Belkin, and Luis Rademacher
A Pseudo-Euclidean Iteration for Optimal Recovery in Noisy ICA
17 pages, 2 figures
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Independent Component Analysis (ICA) is a popular model for blind signal separation. The ICA model assumes that a number of independent source signals are linearly mixed to form the observed signals. We propose a new algorithm, PEGI (for pseudo-Euclidean Gradient Iteration), for provable model recovery for ICA with G...
[ { "created": "Fri, 13 Feb 2015 23:18:35 GMT", "version": "v1" }, { "created": "Thu, 1 Oct 2015 16:05:56 GMT", "version": "v2" } ]
2015-10-02
[ [ "Voss", "James", "" ], [ "Belkin", "Mikhail", "" ], [ "Rademacher", "Luis", "" ] ]
Independent Component Analysis (ICA) is a popular model for blind signal separation. The ICA model assumes that a number of independent source signals are linearly mixed to form the observed signals. We propose a new algorithm, PEGI (for pseudo-Euclidean Gradient Iteration), for provable model recovery for ICA with Gau...
2008.08652
Leonardo Alexandre Ferreira Leite
Leonardo Leite, Gustavo Pinto, Fabio Kon, Paulo Meirelles
The Organization of Software Teams in the Quest for Continuous Delivery: A Grounded Theory Approach
Version accepted for publication in the Information and Software Technology journal (Jun, 2021) / CC-BY-NC-ND license / affiliation of last author changed
null
null
null
cs.SE
http://creativecommons.org/licenses/by-nc-nd/4.0/
Context: To accelerate time-to-market and improve customer satisfaction, software-producing organizations have adopted continuous delivery practices, impacting the relations between development and infrastructure professionals. Yet, no substantial literature has substantially tackled how the software industry structu...
[ { "created": "Wed, 19 Aug 2020 20:00:24 GMT", "version": "v1" }, { "created": "Sat, 19 Jun 2021 17:35:50 GMT", "version": "v2" }, { "created": "Tue, 22 Jun 2021 16:54:55 GMT", "version": "v3" }, { "created": "Wed, 23 Jun 2021 21:53:12 GMT", "version": "v4" } ]
2021-06-25
[ [ "Leite", "Leonardo", "" ], [ "Pinto", "Gustavo", "" ], [ "Kon", "Fabio", "" ], [ "Meirelles", "Paulo", "" ] ]
Context: To accelerate time-to-market and improve customer satisfaction, software-producing organizations have adopted continuous delivery practices, impacting the relations between development and infrastructure professionals. Yet, no substantial literature has substantially tackled how the software industry structure...
2102.04148
Birgitta Dresp-Langley
Rongrong Liu, Florent Nageotte, Philippe Zanne, Michel de Mathelin and Birgitta Dresp-Langley
Deep Reinforcement Learning for the Control of Robotic Manipulation: A Focussed Mini-Review
null
Robotics, 2021, 10, 1, 22
10.3390/robotics10010022
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep learning has provided new ways of manipulating, processing and analyzing data. It sometimes may achieve results comparable to, or surpassing human expert performance, and has become a source of inspiration in the era of artificial intelligence. Another subfield of machine learning named reinforcement learning, t...
[ { "created": "Mon, 8 Feb 2021 11:57:06 GMT", "version": "v1" } ]
2021-02-09
[ [ "Liu", "Rongrong", "" ], [ "Nageotte", "Florent", "" ], [ "Zanne", "Philippe", "" ], [ "de Mathelin", "Michel", "" ], [ "Dresp-Langley", "Birgitta", "" ] ]
Deep learning has provided new ways of manipulating, processing and analyzing data. It sometimes may achieve results comparable to, or surpassing human expert performance, and has become a source of inspiration in the era of artificial intelligence. Another subfield of machine learning named reinforcement learning, tri...
2207.11357
Molly Jane Nicholas
Molly Jane Nicholas, Eric Paulos
PREPRINT: Found Object Puppeteering as a Tool for Rapid Movement Sketching in 3D Animation
null
null
null
null
cs.HC
http://creativecommons.org/licenses/by/4.0/
Both expert and novice animators have a need to engage in movement sketching -- low-cost, rapid iteration on a character's movement style -- especially early on in the ideation process. Yet animation tools currently focus on low-level character control mechanisms rather than encouraging engagement with and deep obser...
[ { "created": "Fri, 22 Jul 2022 22:22:16 GMT", "version": "v1" } ]
2022-07-26
[ [ "Nicholas", "Molly Jane", "" ], [ "Paulos", "Eric", "" ] ]
Both expert and novice animators have a need to engage in movement sketching -- low-cost, rapid iteration on a character's movement style -- especially early on in the ideation process. Yet animation tools currently focus on low-level character control mechanisms rather than encouraging engagement with and deep observa...
1601.00428
Charith Perera
Charith Perera, Dumidu Talagala, Chi Harold Liu, Julio C. Estrella
Energy Efficient Location and Activity-aware On-Demand Mobile Distributed Sensing Platform for Sensing as a Service in IoT Clouds
IEEE Transactions on Computational Social Systems 2016
null
10.1109/TCSS.2016.2515844
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The Internet of Things (IoT) envisions billions of sensors deployed around us and connected to the Internet, where the mobile crowd sensing technologies are widely used to collect data in different contexts of the IoT paradigm. Due to the popularity of Big Data technologies, processing and storing large volumes of da...
[ { "created": "Mon, 4 Jan 2016 09:45:42 GMT", "version": "v1" } ]
2016-11-18
[ [ "Perera", "Charith", "" ], [ "Talagala", "Dumidu", "" ], [ "Liu", "Chi Harold", "" ], [ "Estrella", "Julio C.", "" ] ]
The Internet of Things (IoT) envisions billions of sensors deployed around us and connected to the Internet, where the mobile crowd sensing technologies are widely used to collect data in different contexts of the IoT paradigm. Due to the popularity of Big Data technologies, processing and storing large volumes of data...
2307.08652
Aalok Gangopadhyay
Aalok Gangopadhyay, Paras Gupta, Tarun Sharma, Prajwal Singh, Shanmuganathan Raman
Search Me Knot, Render Me Knot: Embedding Search and Differentiable Rendering of Knots in 3D
null
null
null
null
cs.GR
http://creativecommons.org/licenses/by/4.0/
We introduce the problem of knot-based inverse perceptual art. Given multiple target images and their corresponding viewing configurations, the objective is to find a 3D knot-based tubular structure whose appearance resembles the target images when viewed from the specified viewing configurations. To solve this probl...
[ { "created": "Mon, 17 Jul 2023 17:03:26 GMT", "version": "v1" }, { "created": "Tue, 18 Jul 2023 03:16:22 GMT", "version": "v2" }, { "created": "Fri, 21 Jul 2023 12:19:33 GMT", "version": "v3" }, { "created": "Sat, 19 Aug 2023 07:31:26 GMT", "version": "v4" } ]
2023-08-22
[ [ "Gangopadhyay", "Aalok", "" ], [ "Gupta", "Paras", "" ], [ "Sharma", "Tarun", "" ], [ "Singh", "Prajwal", "" ], [ "Raman", "Shanmuganathan", "" ] ]
We introduce the problem of knot-based inverse perceptual art. Given multiple target images and their corresponding viewing configurations, the objective is to find a 3D knot-based tubular structure whose appearance resembles the target images when viewed from the specified viewing configurations. To solve this problem...
2206.02367
Chuanzhe Jing
Chuanzhe Jing, Tho Nguyen Duc, Phan Xuan Tan, Eiji Kamioka
Subtitle-based Viewport Prediction for 360-degree Virtual Tourism Video
null
null
null
null
cs.MM
http://creativecommons.org/licenses/by/4.0/
360-degree streaming videos can provide a rich immersive experiences to the users. However, it requires an extremely high bandwidth network. One of the common solutions for saving bandwidth consumption is to stream only a portion of video covered by the user's viewport. To do that, the user's viewpoint prediction is ...
[ { "created": "Mon, 6 Jun 2022 05:48:25 GMT", "version": "v1" } ]
2022-06-07
[ [ "Jing", "Chuanzhe", "" ], [ "Duc", "Tho Nguyen", "" ], [ "Tan", "Phan Xuan", "" ], [ "Kamioka", "Eiji", "" ] ]
360-degree streaming videos can provide a rich immersive experiences to the users. However, it requires an extremely high bandwidth network. One of the common solutions for saving bandwidth consumption is to stream only a portion of video covered by the user's viewport. To do that, the user's viewpoint prediction is in...
1401.6497
Qibin Zhao Dr
Qibin Zhao, Liqing Zhang, and Andrzej Cichocki
Bayesian CP Factorization of Incomplete Tensors with Automatic Rank Determination
null
null
10.1109/TPAMI.2015.2392756
null
cs.LG cs.CV stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
CANDECOMP/PARAFAC (CP) tensor factorization of incomplete data is a powerful technique for tensor completion through explicitly capturing the multilinear latent factors. The existing CP algorithms require the tensor rank to be manually specified, however, the determination of tensor rank remains a challenging problem...
[ { "created": "Sat, 25 Jan 2014 05:08:33 GMT", "version": "v1" }, { "created": "Thu, 9 Oct 2014 09:48:37 GMT", "version": "v2" } ]
2015-01-22
[ [ "Zhao", "Qibin", "" ], [ "Zhang", "Liqing", "" ], [ "Cichocki", "Andrzej", "" ] ]
CANDECOMP/PARAFAC (CP) tensor factorization of incomplete data is a powerful technique for tensor completion through explicitly capturing the multilinear latent factors. The existing CP algorithms require the tensor rank to be manually specified, however, the determination of tensor rank remains a challenging problem e...
2204.02162
Diego Antognini
Diego Antognini and Boi Faltings
Positive and Negative Critiquing for VAE-based Recommenders
5 pages, 2 figures, 2 tables
null
null
null
cs.IR cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Providing explanations for recommended items allows users to refine the recommendations by critiquing parts of the explanations. As a result of revisiting critiquing from the perspective of multimodal generative models, recent work has proposed M&Ms-VAE, which achieves state-of-the-art performance in terms of recomme...
[ { "created": "Tue, 5 Apr 2022 12:40:53 GMT", "version": "v1" } ]
2022-04-06
[ [ "Antognini", "Diego", "" ], [ "Faltings", "Boi", "" ] ]
Providing explanations for recommended items allows users to refine the recommendations by critiquing parts of the explanations. As a result of revisiting critiquing from the perspective of multimodal generative models, recent work has proposed M&Ms-VAE, which achieves state-of-the-art performance in terms of recommend...
2306.16205
David Radke
David Radke, Kate Larson, Tim Brecht and Kyle Tilbury
Towards a Better Understanding of Learning with Multiagent Teams
15 pages, 11 figures, published at the International Joint Conference on Artificial Intelligence (IJCAI) in 2023
null
null
null
cs.AI
http://creativecommons.org/publicdomain/zero/1.0/
While it has long been recognized that a team of individual learning agents can be greater than the sum of its parts, recent work has shown that larger teams are not necessarily more effective than smaller ones. In this paper, we study why and under which conditions certain team structures promote effective learning ...
[ { "created": "Wed, 28 Jun 2023 13:37:48 GMT", "version": "v1" } ]
2023-06-29
[ [ "Radke", "David", "" ], [ "Larson", "Kate", "" ], [ "Brecht", "Tim", "" ], [ "Tilbury", "Kyle", "" ] ]
While it has long been recognized that a team of individual learning agents can be greater than the sum of its parts, recent work has shown that larger teams are not necessarily more effective than smaller ones. In this paper, we study why and under which conditions certain team structures promote effective learning fo...
1008.0147
Jaeok Park
Jaeok Park and Mihaela van der Schaar
Intervention Mechanism Design for Networks With Selfish Users
20 pages, 1 table
null
null
null
cs.GT cs.MA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider a multi-user network where a network manager and selfish users interact. The network manager monitors the behavior of users and intervenes in the interaction among users if necessary, while users make decisions independently to optimize their individual objectives. In this paper, we develop a framework of...
[ { "created": "Sun, 1 Aug 2010 04:33:27 GMT", "version": "v1" } ]
2010-08-03
[ [ "Park", "Jaeok", "" ], [ "van der Schaar", "Mihaela", "" ] ]
We consider a multi-user network where a network manager and selfish users interact. The network manager monitors the behavior of users and intervenes in the interaction among users if necessary, while users make decisions independently to optimize their individual objectives. In this paper, we develop a framework of i...
2210.06654
Yash Vekaria
Yash Vekaria (1), Rishab Nithyanand (2), Zubair Shafiq (1) ((1) University of California, Davis, (2) University of Iowa)
The Inventory is Dark and Full of Misinformation: Understanding the Abuse of Ad Inventory Pooling in the Ad-Tech Supply Chain
To appear at IEEE Symposium on Security & Privacy (Oakland) 2024
null
null
null
cs.CR cs.CY cs.NI cs.SI
http://creativecommons.org/licenses/by/4.0/
Ad-tech enables publishers to programmatically sell their ad inventory to millions of demand partners through a complex supply chain. Bogus or low quality publishers can exploit the opaque nature of the ad-tech to deceptively monetize their ad inventory. In this paper, we investigate for the first time how misinforma...
[ { "created": "Thu, 13 Oct 2022 01:24:19 GMT", "version": "v1" }, { "created": "Thu, 18 May 2023 15:43:57 GMT", "version": "v2" }, { "created": "Sat, 14 Oct 2023 05:53:02 GMT", "version": "v3" } ]
2023-10-17
[ [ "Vekaria", "Yash", "" ], [ "Nithyanand", "Rishab", "" ], [ "Shafiq", "Zubair", "" ] ]
Ad-tech enables publishers to programmatically sell their ad inventory to millions of demand partners through a complex supply chain. Bogus or low quality publishers can exploit the opaque nature of the ad-tech to deceptively monetize their ad inventory. In this paper, we investigate for the first time how misinformati...
2002.08429
Yue Yang
Yue Yang
An improved FastEuler-DLKF small-UAV AHRS algorithm
in Chinese
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The accurate Attitude Heading Reference System(AHRS) is an important apart of the UAV reliable flight system. Aiming at the application scenarios of near ground navigation of small-UAV, this paper establishes a loose couple error model of the gyroscope/accelerometer/magnetometer, and presents an improved FastEuler Do...
[ { "created": "Tue, 18 Feb 2020 05:37:52 GMT", "version": "v1" } ]
2020-02-21
[ [ "Yang", "Yue", "" ] ]
The accurate Attitude Heading Reference System(AHRS) is an important apart of the UAV reliable flight system. Aiming at the application scenarios of near ground navigation of small-UAV, this paper establishes a loose couple error model of the gyroscope/accelerometer/magnetometer, and presents an improved FastEuler Doub...
2101.04794
Yue You
Yue You, Yubo Kou, Xianghua Ding, Xinning Gui
The Medical Authority of AI: A Study of AI-enabled Consumer-facing Health Technology
null
null
10.13140/RG.2.2.33097.98403
null
cs.HC
http://creativecommons.org/licenses/by-nc-sa/4.0/
Recently, consumer-facing health technologies such as Artificial Intelligence (AI)-based symptom checkers (AISCs) have sprung up in everyday healthcare practice. AISCs solicit symptom information from users and provide medical suggestions and possible diagnoses, a responsibility that people usually entrust with real-...
[ { "created": "Tue, 12 Jan 2021 23:02:40 GMT", "version": "v1" } ]
2021-01-14
[ [ "You", "Yue", "" ], [ "Kou", "Yubo", "" ], [ "Ding", "Xianghua", "" ], [ "Gui", "Xinning", "" ] ]
Recently, consumer-facing health technologies such as Artificial Intelligence (AI)-based symptom checkers (AISCs) have sprung up in everyday healthcare practice. AISCs solicit symptom information from users and provide medical suggestions and possible diagnoses, a responsibility that people usually entrust with real-pe...
2006.15854
Taiwo Kolajo
Taiwo Kolajo, Olawande Daramola, Ayodele Adebiyi, Seth Aaditeshwar
A Framework for Pre-processing of Social Media Feeds based on Integrated Local Knowledge Base
38 pages, 5 figures, 6 tables
null
10.1016/j.ipm.2020.102348
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Most of the previous studies on the semantic analysis of social media feeds have not considered the issue of ambiguity that is associated with slangs, abbreviations, and acronyms that are embedded in social media posts. These noisy terms have implicit meanings and form part of the rich semantic context that must be a...
[ { "created": "Mon, 29 Jun 2020 07:56:22 GMT", "version": "v1" } ]
2020-07-08
[ [ "Kolajo", "Taiwo", "" ], [ "Daramola", "Olawande", "" ], [ "Adebiyi", "Ayodele", "" ], [ "Aaditeshwar", "Seth", "" ] ]
Most of the previous studies on the semantic analysis of social media feeds have not considered the issue of ambiguity that is associated with slangs, abbreviations, and acronyms that are embedded in social media posts. These noisy terms have implicit meanings and form part of the rich semantic context that must be ana...
2110.09152
Tanya Braun
Tanya Braun, Stefan Fischer, Florian Lau, Ralf M\"oller
Lifting DecPOMDPs for Nanoscale Systems -- A Work in Progress
Accepted at the Tenth International Workshop on Statistical Relational AI (StarAI-2021)
null
null
null
cs.AI
http://creativecommons.org/licenses/by/4.0/
DNA-based nanonetworks have a wide range of promising use cases, especially in the field of medicine. With a large set of agents, a partially observable stochastic environment, and noisy observations, such nanoscale systems can be modelled as a decentralised, partially observable, Markov decision process (DecPOMDP). ...
[ { "created": "Mon, 18 Oct 2021 10:14:00 GMT", "version": "v1" } ]
2021-10-19
[ [ "Braun", "Tanya", "" ], [ "Fischer", "Stefan", "" ], [ "Lau", "Florian", "" ], [ "Möller", "Ralf", "" ] ]
DNA-based nanonetworks have a wide range of promising use cases, especially in the field of medicine. With a large set of agents, a partially observable stochastic environment, and noisy observations, such nanoscale systems can be modelled as a decentralised, partially observable, Markov decision process (DecPOMDP). As...
2307.09756
Weijia Wu
Yuzhong Zhao, Qixiang Ye, Weijia Wu, Chunhua Shen, Fang Wan
Generative Prompt Model for Weakly Supervised Object Localization
null
International Conference on Computer Vision Conference (ICCV2023)
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Weakly supervised object localization (WSOL) remains challenging when learning object localization models from image category labels. Conventional methods that discriminatively train activation models ignore representative yet less discriminative object parts. In this study, we propose a generative prompt model (GenP...
[ { "created": "Wed, 19 Jul 2023 05:40:38 GMT", "version": "v1" } ]
2023-07-20
[ [ "Zhao", "Yuzhong", "" ], [ "Ye", "Qixiang", "" ], [ "Wu", "Weijia", "" ], [ "Shen", "Chunhua", "" ], [ "Wan", "Fang", "" ] ]
Weakly supervised object localization (WSOL) remains challenging when learning object localization models from image category labels. Conventional methods that discriminatively train activation models ignore representative yet less discriminative object parts. In this study, we propose a generative prompt model (GenPro...
1202.2895
Dmitry Ignatov
Jonas Poelmans, Paul Elzinga, Alexey Neznanov, Stijn Viaene, Sergei O. Kuznetsov, Dmitry Ignatov, Guido Dedene
Concept Relation Discovery and Innovation Enabling Technology (CORDIET)
null
In CEUR Workshop proceedings Vol-757, CDUD'11 - Concept Discovery in Unstructured Data, pp. 53-62, 2011
null
null
cs.AI cs.IR stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Concept Relation Discovery and Innovation Enabling Technology (CORDIET), is a toolbox for gaining new knowledge from unstructured text data. At the core of CORDIET is the C-K theory which captures the essential elements of innovation. The tool uses Formal Concept Analysis (FCA), Emergent Self Organizing Maps (ESOM) a...
[ { "created": "Mon, 13 Feb 2012 23:19:51 GMT", "version": "v1" } ]
2013-12-03
[ [ "Poelmans", "Jonas", "" ], [ "Elzinga", "Paul", "" ], [ "Neznanov", "Alexey", "" ], [ "Viaene", "Stijn", "" ], [ "Kuznetsov", "Sergei O.", "" ], [ "Ignatov", "Dmitry", "" ], [ "Dedene", "Guido", "" ] ]
Concept Relation Discovery and Innovation Enabling Technology (CORDIET), is a toolbox for gaining new knowledge from unstructured text data. At the core of CORDIET is the C-K theory which captures the essential elements of innovation. The tool uses Formal Concept Analysis (FCA), Emergent Self Organizing Maps (ESOM) and...
2302.14284
Zhengzhuo Xu
Zhengzhuo Xu, Shuo Yang, Xingjun Wang, Chun Yuan
Rethink Long-tailed Recognition with Vision Transformers
Accepted by ICASSP 2023
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
In the real world, data tends to follow long-tailed distributions w.r.t. class or attribution, motivating the challenging Long-Tailed Recognition (LTR) problem. In this paper, we revisit recent LTR methods with promising Vision Transformers (ViT). We figure out that 1) ViT is hard to train with long-tailed data. 2) V...
[ { "created": "Tue, 28 Feb 2023 03:36:48 GMT", "version": "v1" }, { "created": "Mon, 17 Apr 2023 08:35:02 GMT", "version": "v2" } ]
2023-04-18
[ [ "Xu", "Zhengzhuo", "" ], [ "Yang", "Shuo", "" ], [ "Wang", "Xingjun", "" ], [ "Yuan", "Chun", "" ] ]
In the real world, data tends to follow long-tailed distributions w.r.t. class or attribution, motivating the challenging Long-Tailed Recognition (LTR) problem. In this paper, we revisit recent LTR methods with promising Vision Transformers (ViT). We figure out that 1) ViT is hard to train with long-tailed data. 2) ViT...
1202.2026
Akira SaiToh
Akira SaiToh, Robabeh Rahimi, Mikio Nakahara
A quantum genetic algorithm with quantum crossover and mutation operations
21 pages, 1 table, v2: typos corrected, minor modifications in sections 3.5 and 4, v3: minor revision, title changed (original title: Semiclassical genetic algorithm with quantum crossover and mutation operations), v4: minor revision, v5: minor grammatical corrections, to appear in QIP
Quantum Inf. Process. 13, 737-755 (2014)
10.1007/s11128-013-0686-6
null
cs.NE quant-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the context of evolutionary quantum computing in the literal meaning, a quantum crossover operation has not been introduced so far. Here, we introduce a novel quantum genetic algorithm which has a quantum crossover procedure performing crossovers among all chromosomes in parallel for each generation. A complexity ...
[ { "created": "Thu, 9 Feb 2012 16:04:52 GMT", "version": "v1" }, { "created": "Mon, 13 Feb 2012 07:19:53 GMT", "version": "v2" }, { "created": "Mon, 19 Nov 2012 19:12:14 GMT", "version": "v3" }, { "created": "Fri, 8 Nov 2013 04:48:49 GMT", "version": "v4" }, { "cre...
2014-02-05
[ [ "SaiToh", "Akira", "" ], [ "Rahimi", "Robabeh", "" ], [ "Nakahara", "Mikio", "" ] ]
In the context of evolutionary quantum computing in the literal meaning, a quantum crossover operation has not been introduced so far. Here, we introduce a novel quantum genetic algorithm which has a quantum crossover procedure performing crossovers among all chromosomes in parallel for each generation. A complexity an...
2305.03966
Yang Li
Shipeng Ji, Yang Li, Ruizhi Fu, Jiabao Wang, Zhuang Miao
Feature Chirality in Deep Learning Models
6 pages,6 figures
null
null
null
cs.CV
http://creativecommons.org/licenses/by-nc-nd/4.0/
As deep learning applications extensively increase by leaps and bounds, their interpretability has become increasingly prominent. As a universal property, chirality exists widely in nature, and applying it to the explanatory research of deep learning may be helpful to some extent. Inspired by a recent study that used...
[ { "created": "Sat, 6 May 2023 07:57:38 GMT", "version": "v1" } ]
2023-05-09
[ [ "Ji", "Shipeng", "" ], [ "Li", "Yang", "" ], [ "Fu", "Ruizhi", "" ], [ "Wang", "Jiabao", "" ], [ "Miao", "Zhuang", "" ] ]
As deep learning applications extensively increase by leaps and bounds, their interpretability has become increasingly prominent. As a universal property, chirality exists widely in nature, and applying it to the explanatory research of deep learning may be helpful to some extent. Inspired by a recent study that used C...
2404.11841
Jiatu Li
Lijie Chen, Jiatu Li, Igor C. Oliveira
On the Unprovability of Circuit Size Bounds in Intuitionistic $\mathsf{S}^1_2$
null
null
null
null
cs.LO cs.CC
http://creativecommons.org/licenses/by/4.0/
We show that there is a constant $k$ such that Buss's intuitionistic theory $\mathsf{IS}^1_2$ does not prove that SAT requires co-nondeterministic circuits of size at least $n^k$. To our knowledge, this is the first unconditional unprovability result in bounded arithmetic in the context of worst-case fixed-polynomial...
[ { "created": "Thu, 18 Apr 2024 01:45:22 GMT", "version": "v1" } ]
2024-04-19
[ [ "Chen", "Lijie", "" ], [ "Li", "Jiatu", "" ], [ "Oliveira", "Igor C.", "" ] ]
We show that there is a constant $k$ such that Buss's intuitionistic theory $\mathsf{IS}^1_2$ does not prove that SAT requires co-nondeterministic circuits of size at least $n^k$. To our knowledge, this is the first unconditional unprovability result in bounded arithmetic in the context of worst-case fixed-polynomial s...
2402.09508
Liwei Lin
Liwei Lin, Gus Xia, Yixiao Zhang, Junyan Jiang
Arrange, Inpaint, and Refine: Steerable Long-term Music Audio Generation and Editing via Content-based Controls
null
null
null
null
cs.SD cs.AI eess.AS
http://creativecommons.org/licenses/by-nc-sa/4.0/
Controllable music generation plays a vital role in human-AI music co-creation. While Large Language Models (LLMs) have shown promise in generating high-quality music, their focus on autoregressive generation limits their utility in music editing tasks. To address this gap, we propose a novel approach leveraging a pa...
[ { "created": "Wed, 14 Feb 2024 19:00:01 GMT", "version": "v1" }, { "created": "Mon, 10 Jun 2024 14:08:17 GMT", "version": "v2" } ]
2024-06-11
[ [ "Lin", "Liwei", "" ], [ "Xia", "Gus", "" ], [ "Zhang", "Yixiao", "" ], [ "Jiang", "Junyan", "" ] ]
Controllable music generation plays a vital role in human-AI music co-creation. While Large Language Models (LLMs) have shown promise in generating high-quality music, their focus on autoregressive generation limits their utility in music editing tasks. To address this gap, we propose a novel approach leveraging a para...
2205.03859
Vedant Singh
Vedant Singh, Surgan Jandial, Ayush Chopra, Siddharth Ramesh, Balaji Krishnamurthy, Vineeth N. Balasubramanian
On Conditioning the Input Noise for Controlled Image Generation with Diffusion Models
Accepted at the workshop on AI for Content Creation at CVPR 2022
null
null
null
cs.CV cs.LG
http://creativecommons.org/licenses/by/4.0/
Conditional image generation has paved the way for several breakthroughs in image editing, generating stock photos and 3-D object generation. This continues to be a significant area of interest with the rise of new state-of-the-art methods that are based on diffusion models. However, diffusion models provide very lit...
[ { "created": "Sun, 8 May 2022 13:18:14 GMT", "version": "v1" } ]
2022-05-10
[ [ "Singh", "Vedant", "" ], [ "Jandial", "Surgan", "" ], [ "Chopra", "Ayush", "" ], [ "Ramesh", "Siddharth", "" ], [ "Krishnamurthy", "Balaji", "" ], [ "Balasubramanian", "Vineeth N.", "" ] ]
Conditional image generation has paved the way for several breakthroughs in image editing, generating stock photos and 3-D object generation. This continues to be a significant area of interest with the rise of new state-of-the-art methods that are based on diffusion models. However, diffusion models provide very littl...
1810.03793
Jiawei Li
Jiawei Li and etc
Collective Strategies with a Master-slave Mechanism Dominate in Spatial Iterated Prisoner's Dilemma
11 pages, 31 figures
International Journal of Swarm Intelligence Research 2021
null
null
cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
How cooperation emerges and persists in a population of selfish agents is a fundamental question in evolutionary game theory. Our research shows that Collective Strategies with Master-Slave Mechanism (CSMSM) defeat Tit-for-Tat and other well-known strategies in spatial iterated prisoner's dilemma. A CSMSM identifies ...
[ { "created": "Tue, 9 Oct 2018 03:28:51 GMT", "version": "v1" }, { "created": "Mon, 1 Nov 2021 14:19:14 GMT", "version": "v2" } ]
2021-11-02
[ [ "Li", "Jiawei", "" ], [ "etc", "", "" ] ]
How cooperation emerges and persists in a population of selfish agents is a fundamental question in evolutionary game theory. Our research shows that Collective Strategies with Master-Slave Mechanism (CSMSM) defeat Tit-for-Tat and other well-known strategies in spatial iterated prisoner's dilemma. A CSMSM identifies ki...
1603.00570
Ohad Shamir
Ohad Shamir
Without-Replacement Sampling for Stochastic Gradient Methods: Convergence Results and Application to Distributed Optimization
Fixed a few minor typos, and slightly tightened Corollary 1
null
null
null
cs.LG math.OC stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Stochastic gradient methods for machine learning and optimization problems are usually analyzed assuming data points are sampled \emph{with} replacement. In practice, however, sampling \emph{without} replacement is very common, easier to implement in many cases, and often performs better. In this paper, we provide co...
[ { "created": "Wed, 2 Mar 2016 04:02:57 GMT", "version": "v1" }, { "created": "Fri, 29 Apr 2016 00:29:34 GMT", "version": "v2" }, { "created": "Mon, 17 Oct 2016 03:58:41 GMT", "version": "v3" } ]
2016-10-18
[ [ "Shamir", "Ohad", "" ] ]
Stochastic gradient methods for machine learning and optimization problems are usually analyzed assuming data points are sampled \emph{with} replacement. In practice, however, sampling \emph{without} replacement is very common, easier to implement in many cases, and often performs better. In this paper, we provide comp...
2309.06263
Yohan Beugin
Alban H\'eon, Ryan Sheatsley, Quinn Burke, Blaine Hoak, Eric Pauley, Yohan Beugin, Patrick McDaniel
Systematic Evaluation of Geolocation Privacy Mechanisms
M.S. Thesis (https://etda.libraries.psu.edu/catalog/25677abh5960)
null
null
null
cs.CR
http://creativecommons.org/licenses/by-nc-nd/4.0/
Location data privacy has become a serious concern for users as Location Based Services (LBSs) have become an important part of their life. It is possible for malicious parties having access to geolocation data to learn sensitive information about the user such as religion or political views. Location Privacy Preserv...
[ { "created": "Tue, 12 Sep 2023 14:23:19 GMT", "version": "v1" } ]
2023-09-13
[ [ "Héon", "Alban", "" ], [ "Sheatsley", "Ryan", "" ], [ "Burke", "Quinn", "" ], [ "Hoak", "Blaine", "" ], [ "Pauley", "Eric", "" ], [ "Beugin", "Yohan", "" ], [ "McDaniel", "Patrick", "" ] ]
Location data privacy has become a serious concern for users as Location Based Services (LBSs) have become an important part of their life. It is possible for malicious parties having access to geolocation data to learn sensitive information about the user such as religion or political views. Location Privacy Preservin...
1906.07437
Qi Lei
Qi Lei, Ajil Jalal, Inderjit S. Dhillon, Alexandros G. Dimakis
Inverting Deep Generative models, One layer at a time
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the problem of inverting a deep generative model with ReLU activations. Inversion corresponds to finding a latent code vector that explains observed measurements as much as possible. In most prior works this is performed by attempting to solve a non-convex optimization problem involving the generator. In thi...
[ { "created": "Tue, 18 Jun 2019 08:20:34 GMT", "version": "v1" }, { "created": "Wed, 19 Jun 2019 06:19:19 GMT", "version": "v2" } ]
2019-06-20
[ [ "Lei", "Qi", "" ], [ "Jalal", "Ajil", "" ], [ "Dhillon", "Inderjit S.", "" ], [ "Dimakis", "Alexandros G.", "" ] ]
We study the problem of inverting a deep generative model with ReLU activations. Inversion corresponds to finding a latent code vector that explains observed measurements as much as possible. In most prior works this is performed by attempting to solve a non-convex optimization problem involving the generator. In this ...
1512.03221
He Chen
Yifan Gu, He Chen, Yonghui Li, Branka Vucetic
A Discrete Time-Switching Protocol for Wireless-Powered Communications with Energy Accumulation
Presented at Globecom'15
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper investigates a wireless-powered communication network (WPCN) setup with one multi-antenna access point (AP) and one single-antenna source. It is assumed that the AP is connected to an external power supply, while the source does not have an embedded energy supply. But the source could harvest energy from r...
[ { "created": "Thu, 10 Dec 2015 11:39:20 GMT", "version": "v1" } ]
2015-12-11
[ [ "Gu", "Yifan", "" ], [ "Chen", "He", "" ], [ "Li", "Yonghui", "" ], [ "Vucetic", "Branka", "" ] ]
This paper investigates a wireless-powered communication network (WPCN) setup with one multi-antenna access point (AP) and one single-antenna source. It is assumed that the AP is connected to an external power supply, while the source does not have an embedded energy supply. But the source could harvest energy from rad...
1009.2785
Grenville Croll
Salvatore Aurigemma, Raymond R. Panko
The Detection of Human Spreadsheet Errors by Humans versus Inspection (Auditing) Software
14 Pages, 4 Figures
Proc. European Spreadsheet Risks Int. Grp. (EuSpRIG) 2010 73-85 ISBN 978-1-905404-50-6
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Previous spreadsheet inspection experiments have had human subjects look for seeded errors in spreadsheets. In this study, subjects attempted to find errors in human-developed spreadsheets to avoid the potential artifacts created by error seeding. Human subject success rates were compared to the successful rates for ...
[ { "created": "Tue, 14 Sep 2010 20:54:42 GMT", "version": "v1" } ]
2010-09-16
[ [ "Aurigemma", "Salvatore", "" ], [ "Panko", "Raymond R.", "" ] ]
Previous spreadsheet inspection experiments have had human subjects look for seeded errors in spreadsheets. In this study, subjects attempted to find errors in human-developed spreadsheets to avoid the potential artifacts created by error seeding. Human subject success rates were compared to the successful rates for er...
2004.00365
Sami Muhaidat
Lina Mohjazi, Ahmed Zoha, Lina Bariah, Sami Muhaidat, Paschalis C. Sofotasios, Muhammad Ali Imran, and Octavia A. Dobre
An Outlook on the Interplay of Machine Learning and Reconfigurable Intelligent Surfaces: An Overview of Opportunities and Limitations
null
null
null
null
cs.NI cs.IT eess.SP math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent advances in programmable metasurfaces, also dubbed as reconfigurable intelligent surfaces (RISs), are envisioned to offer a paradigm shift from uncontrollable to fully tunable and customizable wireless propagation environments, enabling a plethora of new applications and technological trends. Therefore, in vie...
[ { "created": "Mon, 9 Mar 2020 21:03:28 GMT", "version": "v1" }, { "created": "Fri, 10 Sep 2021 18:06:21 GMT", "version": "v2" } ]
2021-09-14
[ [ "Mohjazi", "Lina", "" ], [ "Zoha", "Ahmed", "" ], [ "Bariah", "Lina", "" ], [ "Muhaidat", "Sami", "" ], [ "Sofotasios", "Paschalis C.", "" ], [ "Imran", "Muhammad Ali", "" ], [ "Dobre", "Octavia A.", "" ]...
Recent advances in programmable metasurfaces, also dubbed as reconfigurable intelligent surfaces (RISs), are envisioned to offer a paradigm shift from uncontrollable to fully tunable and customizable wireless propagation environments, enabling a plethora of new applications and technological trends. Therefore, in view ...
2011.07348
Jonah Casebeer
Jonah Casebeer, Jamshed Kaikaus, Paris Smaragdis
Communication-Cost Aware Microphone Selection For Neural Speech Enhancement with Ad-hoc Microphone Arrays
5 pages, 4 figures, ICASSP 2021
null
null
null
cs.SD eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we present a method for jointly-learning a microphone selection mechanism and a speech enhancement network for multi-channel speech enhancement with an ad-hoc microphone array. The attention-based microphone selection mechanism is trained to reduce communication-costs through a penalty term which repre...
[ { "created": "Sat, 14 Nov 2020 17:46:29 GMT", "version": "v1" }, { "created": "Mon, 15 Feb 2021 18:20:01 GMT", "version": "v2" }, { "created": "Thu, 18 Mar 2021 18:53:50 GMT", "version": "v3" }, { "created": "Wed, 21 Apr 2021 15:16:50 GMT", "version": "v4" } ]
2021-04-22
[ [ "Casebeer", "Jonah", "" ], [ "Kaikaus", "Jamshed", "" ], [ "Smaragdis", "Paris", "" ] ]
In this paper, we present a method for jointly-learning a microphone selection mechanism and a speech enhancement network for multi-channel speech enhancement with an ad-hoc microphone array. The attention-based microphone selection mechanism is trained to reduce communication-costs through a penalty term which represe...