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2207.08000
Ruizhi Shao
Ruizhi Shao, Zerong Zheng, Hongwen Zhang, Jingxiang Sun, Yebin Liu
DiffuStereo: High Quality Human Reconstruction via Diffusion-based Stereo Using Sparse Cameras
Accepted by ECCV2022
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose DiffuStereo, a novel system using only sparse cameras (8 in this work) for high-quality 3D human reconstruction. At its core is a novel diffusion-based stereo module, which introduces diffusion models, a type of powerful generative models, into the iterative stereo matching network. To this end, we design ...
[ { "created": "Sat, 16 Jul 2022 19:08:18 GMT", "version": "v1" }, { "created": "Wed, 20 Jul 2022 08:12:00 GMT", "version": "v2" } ]
2022-07-21
[ [ "Shao", "Ruizhi", "" ], [ "Zheng", "Zerong", "" ], [ "Zhang", "Hongwen", "" ], [ "Sun", "Jingxiang", "" ], [ "Liu", "Yebin", "" ] ]
We propose DiffuStereo, a novel system using only sparse cameras (8 in this work) for high-quality 3D human reconstruction. At its core is a novel diffusion-based stereo module, which introduces diffusion models, a type of powerful generative models, into the iterative stereo matching network. To this end, we design a ...
2403.04135
Yui Uehara
Yui Uehara
Unsupervised Learning of Harmonic Analysis Based on Neural HSMM with Code Quality Templates
20 pages, 5 figures, the original edition of this paper will be published in the ICNMC2024 Proceedings and this arXiv publication is a copy
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents a method of unsupervised learning of harmonic analysis based on a hidden semi-Markov model (HSMM). We introduce the chord quality templates, which specify the probability of pitch class emissions given a root note and a chord quality. Other probability distributions that comprise the HSMM are auto...
[ { "created": "Thu, 7 Mar 2024 01:29:48 GMT", "version": "v1" } ]
2024-03-08
[ [ "Uehara", "Yui", "" ] ]
This paper presents a method of unsupervised learning of harmonic analysis based on a hidden semi-Markov model (HSMM). We introduce the chord quality templates, which specify the probability of pitch class emissions given a root note and a chord quality. Other probability distributions that comprise the HSMM are automa...
2401.15544
Ramy Harik
Ramy Harik, Fadi El Kalach, Jad Samaha, Devon Clark, Drew Sander, Philip Samaha, Liam Burns, Ibrahim Yousif, Victor Gadow, Theodros Tarekegne, Nitol Saha
Analog and Multi-modal Manufacturing Datasets Acquired on the Future Factories Platform
11 pages, datasets for Future Factories
null
null
null
cs.LG
http://creativecommons.org/licenses/by-sa/4.0/
Two industry-grade datasets are presented in this paper that were collected at the Future Factories Lab at the University of South Carolina on December 11th and 12th of 2023. These datasets are generated by a manufacturing assembly line that utilizes industrial standards with respect to actuators, control mechanisms,...
[ { "created": "Sun, 28 Jan 2024 02:26:58 GMT", "version": "v1" } ]
2024-01-30
[ [ "Harik", "Ramy", "" ], [ "Kalach", "Fadi El", "" ], [ "Samaha", "Jad", "" ], [ "Clark", "Devon", "" ], [ "Sander", "Drew", "" ], [ "Samaha", "Philip", "" ], [ "Burns", "Liam", "" ], [ "Yousif", ...
Two industry-grade datasets are presented in this paper that were collected at the Future Factories Lab at the University of South Carolina on December 11th and 12th of 2023. These datasets are generated by a manufacturing assembly line that utilizes industrial standards with respect to actuators, control mechanisms, a...
2107.07728
Pascal Pfeiffer
Christof Henkel, Pascal Pfeiffer and Philipp Singer
Recognizing bird species in diverse soundscapes under weak supervision
All authors contributed equally, 8 pages, 4 figures, submitted to CEUR-WS
null
null
null
cs.SD cs.LG eess.AS
http://creativecommons.org/licenses/by/4.0/
We present a robust classification approach for avian vocalization in complex and diverse soundscapes, achieving second place in the BirdCLEF2021 challenge. We illustrate how to make full use of pre-trained convolutional neural networks, by using an efficient modeling and training routine supplemented by novel augmen...
[ { "created": "Fri, 16 Jul 2021 06:54:38 GMT", "version": "v1" } ]
2021-07-19
[ [ "Henkel", "Christof", "" ], [ "Pfeiffer", "Pascal", "" ], [ "Singer", "Philipp", "" ] ]
We present a robust classification approach for avian vocalization in complex and diverse soundscapes, achieving second place in the BirdCLEF2021 challenge. We illustrate how to make full use of pre-trained convolutional neural networks, by using an efficient modeling and training routine supplemented by novel augmenta...
0711.3176
Seyed Abolfazl Motahari
Abolfazl S. Motahari and Amir K. Khandani
To Decode the Interference or To Consider it as Noise
submitted to IEEE Transactions on Information Theory
null
null
null
cs.IT math.IT
null
We address single-user data transmission over a channel where the received signal incurs interference from a finite number of users (interfering users) that use single codebooks for transmitting their own messages. The receiver, however, is allowed to decode interfering users' messages. This means the signal transmit...
[ { "created": "Tue, 20 Nov 2007 17:34:30 GMT", "version": "v1" } ]
2007-11-21
[ [ "Motahari", "Abolfazl S.", "" ], [ "Khandani", "Amir K.", "" ] ]
We address single-user data transmission over a channel where the received signal incurs interference from a finite number of users (interfering users) that use single codebooks for transmitting their own messages. The receiver, however, is allowed to decode interfering users' messages. This means the signal transmitte...
2107.13118
Qiaoyong Zhong
Jinlei Hou, Yingying Zhang, Qiaoyong Zhong, Di Xie, Shiliang Pu, Hong Zhou
Divide-and-Assemble: Learning Block-wise Memory for Unsupervised Anomaly Detection
accepted by ICCV 2021
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Reconstruction-based methods play an important role in unsupervised anomaly detection in images. Ideally, we expect a perfect reconstruction for normal samples and poor reconstruction for abnormal samples. Since the generalizability of deep neural networks is difficult to control, existing models such as autoencoder ...
[ { "created": "Wed, 28 Jul 2021 01:14:32 GMT", "version": "v1" } ]
2021-07-29
[ [ "Hou", "Jinlei", "" ], [ "Zhang", "Yingying", "" ], [ "Zhong", "Qiaoyong", "" ], [ "Xie", "Di", "" ], [ "Pu", "Shiliang", "" ], [ "Zhou", "Hong", "" ] ]
Reconstruction-based methods play an important role in unsupervised anomaly detection in images. Ideally, we expect a perfect reconstruction for normal samples and poor reconstruction for abnormal samples. Since the generalizability of deep neural networks is difficult to control, existing models such as autoencoder do...
2404.01615
Melanie McGrath
Melanie J. McGrath (CSIRO), Andreas Duenser (CSIRO), Justine Lacey (CSIRO), Cecile Paris (CSIRO)
Collaborative human-AI trust (CHAI-T): A process framework for active management of trust in human-AI collaboration
36 pages, 2 figures
null
null
null
cs.HC
http://creativecommons.org/licenses/by/4.0/
Collaborative human-AI (HAI) teaming combines the unique skills and capabilities of humans and machines in sustained teaming interactions leveraging the strengths of each. In tasks involving regular exposure to novelty and uncertainty, collaboration between adaptive, creative humans and powerful, precise artificial i...
[ { "created": "Tue, 2 Apr 2024 03:39:06 GMT", "version": "v1" } ]
2024-04-03
[ [ "McGrath", "Melanie J.", "", "CSIRO" ], [ "Duenser", "Andreas", "", "CSIRO" ], [ "Lacey", "Justine", "", "CSIRO" ], [ "Paris", "Cecile", "", "CSIRO" ] ]
Collaborative human-AI (HAI) teaming combines the unique skills and capabilities of humans and machines in sustained teaming interactions leveraging the strengths of each. In tasks involving regular exposure to novelty and uncertainty, collaboration between adaptive, creative humans and powerful, precise artificial int...
2206.12766
Md Jobair Hossain Faruk
Md Jobair Hossain Faruk, Hossain Shahriar, Maria Valero, Sweta Sneha, Sheikh I. Ahamed Mohammad Rahman
Towards Blockchain-Based Secure Data Management for Remote Patient Monitoring
null
2021 IEEE International Conference on Digital Health (ICDH)
10.1109/ICDH52753.2021.00054
null
cs.DB cs.CR
http://creativecommons.org/licenses/by/4.0/
Traditional data collection, storage and processing of Electronic Health Records (EHR) utilize centralized techniques that pose several risks of single point of failure and lean the systems to a number of internal and external data breaches that compromise their reliability and availability. Blockchain is an emerging...
[ { "created": "Sun, 26 Jun 2022 02:20:38 GMT", "version": "v1" } ]
2022-06-28
[ [ "Faruk", "Md Jobair Hossain", "" ], [ "Shahriar", "Hossain", "" ], [ "Valero", "Maria", "" ], [ "Sneha", "Sweta", "" ], [ "Rahman", "Sheikh I. Ahamed Mohammad", "" ] ]
Traditional data collection, storage and processing of Electronic Health Records (EHR) utilize centralized techniques that pose several risks of single point of failure and lean the systems to a number of internal and external data breaches that compromise their reliability and availability. Blockchain is an emerging d...
2006.16411
Ali Hadian
Ali Hadian, Ankit Kumar, Thomas Heinis
Hands-off Model Integration in Spatial Index Structures
Proceedings of the 2nd International Workshop on Applied AI for Database Systems and Applications (2020)
null
null
null
cs.DB cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Spatial indexes are crucial for the analysis of the increasing amounts of spatial data, for example generated through IoT applications. The plethora of indexes that has been developed in recent decades has primarily been optimised for disk. With increasing amounts of memory even on commodity machines, however, moving...
[ { "created": "Mon, 29 Jun 2020 22:05:28 GMT", "version": "v1" }, { "created": "Sun, 9 Aug 2020 19:43:38 GMT", "version": "v2" } ]
2020-08-11
[ [ "Hadian", "Ali", "" ], [ "Kumar", "Ankit", "" ], [ "Heinis", "Thomas", "" ] ]
Spatial indexes are crucial for the analysis of the increasing amounts of spatial data, for example generated through IoT applications. The plethora of indexes that has been developed in recent decades has primarily been optimised for disk. With increasing amounts of memory even on commodity machines, however, moving t...
1811.02068
Yuqi Zhou
Yuqi Zhou, Jorge Cisneros-Saldana, Le Xie
False Analog Data Injection Attack Towards Topology Errors: Formulation and Feasibility Analysis
5 pages, 7 figures, Proc. of 2018 IEEE Power and Energy Society General Meeting
null
10.1109/PESGM.2018.8586585
null
cs.SY math.NA math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we propose a class of false analog data injection attack that can misguide the system as if topology errors had occurred. By utilizing the measurement redundancy with respect to the state variables, the adversary who knows the system configuration is shown to be capable of computing the corresponding m...
[ { "created": "Mon, 5 Nov 2018 22:33:46 GMT", "version": "v1" }, { "created": "Thu, 8 Nov 2018 00:05:45 GMT", "version": "v2" } ]
2019-07-11
[ [ "Zhou", "Yuqi", "" ], [ "Cisneros-Saldana", "Jorge", "" ], [ "Xie", "Le", "" ] ]
In this paper, we propose a class of false analog data injection attack that can misguide the system as if topology errors had occurred. By utilizing the measurement redundancy with respect to the state variables, the adversary who knows the system configuration is shown to be capable of computing the corresponding mea...
2402.05680
Antti Kuusisto
Reijo Jaakkola, Tomi Janhunen, Antti Kuusisto, Masood Feyzbakhsh Rankooh, Miikka Vilander
Interpretable classifiers for tabular data via discretization and feature selection
Changes in relation to version 1: more thorough and detailed experiments, general corrections and refinements
null
null
null
cs.LG cs.AI cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce a method for computing immediately human interpretable yet accurate classifiers from tabular data. The classifiers obtained are short Boolean formulas, computed via first discretizing the original data and then using feature selection coupled with a very fast algorithm for producing the best possible Boo...
[ { "created": "Thu, 8 Feb 2024 13:58:16 GMT", "version": "v1" }, { "created": "Thu, 30 May 2024 14:12:54 GMT", "version": "v2" } ]
2024-05-31
[ [ "Jaakkola", "Reijo", "" ], [ "Janhunen", "Tomi", "" ], [ "Kuusisto", "Antti", "" ], [ "Rankooh", "Masood Feyzbakhsh", "" ], [ "Vilander", "Miikka", "" ] ]
We introduce a method for computing immediately human interpretable yet accurate classifiers from tabular data. The classifiers obtained are short Boolean formulas, computed via first discretizing the original data and then using feature selection coupled with a very fast algorithm for producing the best possible Boole...
1408.4443
Daphney-Stavroula Zois
Daphney-Stavroula Zois, Urbashi Mitra
Controlled Sensing: A Myopic Fisher Information Sensor Selection Algorithm
6 pages, 3 figures, accepted in Globecom 2014
null
null
null
cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper considers the problem of state tracking with observation control for a particular class of dynamical systems. The system state evolution is described by a discrete-time, finite-state Markov chain, while the measurement process is characterized by a controlled multi-variate Gaussian observation model. The c...
[ { "created": "Tue, 19 Aug 2014 19:50:26 GMT", "version": "v1" } ]
2014-08-20
[ [ "Zois", "Daphney-Stavroula", "" ], [ "Mitra", "Urbashi", "" ] ]
This paper considers the problem of state tracking with observation control for a particular class of dynamical systems. The system state evolution is described by a discrete-time, finite-state Markov chain, while the measurement process is characterized by a controlled multi-variate Gaussian observation model. The com...
2008.11906
Oliver Biggar
Oliver Biggar (1), Mohammad Zamani (1), Iman Shames (2) ((1) Defence Science and Technology Group, Australia, (2) The Australian National University, Australia)
A principled analysis of Behavior Trees and their generalisations
13 pages, 11 figures. The content of the previous version is now split between this and arXiv:2104.07919, which have both been significantly updated
null
null
null
cs.AI cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
As complex autonomous robotic systems become more widespread, the need for transparent and reusable Artificial Intelligence (AI) designs becomes more apparent. In this paper we analyse how the principles behind Behavior Trees (BTs), an increasingly popular tree-structured control architecture, are applicable to these...
[ { "created": "Thu, 27 Aug 2020 04:09:31 GMT", "version": "v1" }, { "created": "Tue, 25 May 2021 05:42:14 GMT", "version": "v2" } ]
2021-05-26
[ [ "Biggar", "Oliver", "" ], [ "Zamani", "Mohammad", "" ], [ "Shames", "Iman", "" ] ]
As complex autonomous robotic systems become more widespread, the need for transparent and reusable Artificial Intelligence (AI) designs becomes more apparent. In this paper we analyse how the principles behind Behavior Trees (BTs), an increasingly popular tree-structured control architecture, are applicable to these g...
2108.09836
Jan Kaiser
Jan Kaiser and Supriyo Datta
Probabilistic computing with p-bits
null
Appl. Phys. Lett. 119, 150503 (2021)
10.1063/5.0067927
null
cs.ET cond-mat.dis-nn quant-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Digital computers store information in the form of bits that can take on one of two values 0 and 1, while quantum computers are based on qubits that are described by a complex wavefunction, whose squared magnitude gives the probability of measuring either 0 or 1. Here, we make the case for a probabilistic computer ba...
[ { "created": "Sun, 22 Aug 2021 20:50:01 GMT", "version": "v1" }, { "created": "Tue, 12 Oct 2021 21:15:49 GMT", "version": "v2" } ]
2021-10-14
[ [ "Kaiser", "Jan", "" ], [ "Datta", "Supriyo", "" ] ]
Digital computers store information in the form of bits that can take on one of two values 0 and 1, while quantum computers are based on qubits that are described by a complex wavefunction, whose squared magnitude gives the probability of measuring either 0 or 1. Here, we make the case for a probabilistic computer base...
1901.04670
Xuefeng Peng
Xuefeng Peng, Yi Ding, David Wihl, Omer Gottesman, Matthieu Komorowski, Li-wei H. Lehman, Andrew Ross, Aldo Faisal, Finale Doshi-Velez
Improving Sepsis Treatment Strategies by Combining Deep and Kernel-Based Reinforcement Learning
AMIA 2018 Annual Symposium
null
null
null
cs.LG cs.AI stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sepsis is the leading cause of mortality in the ICU. It is challenging to manage because individual patients respond differently to treatment. Thus, tailoring treatment to the individual patient is essential for the best outcomes. In this paper, we take steps toward this goal by applying a mixture-of-experts framewor...
[ { "created": "Tue, 15 Jan 2019 05:40:27 GMT", "version": "v1" } ]
2019-01-16
[ [ "Peng", "Xuefeng", "" ], [ "Ding", "Yi", "" ], [ "Wihl", "David", "" ], [ "Gottesman", "Omer", "" ], [ "Komorowski", "Matthieu", "" ], [ "Lehman", "Li-wei H.", "" ], [ "Ross", "Andrew", "" ], [ "Fai...
Sepsis is the leading cause of mortality in the ICU. It is challenging to manage because individual patients respond differently to treatment. Thus, tailoring treatment to the individual patient is essential for the best outcomes. In this paper, we take steps toward this goal by applying a mixture-of-experts framework ...
1704.04293
Mohammad Amin
Mohammad Amin and Marta Molinas
Model Predictive Control of Voltage Source Converter in a HVDC System
null
null
null
null
cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Model Predictive Control (MPC) method is a class of advanced control techniques most widely applied in industry. The major advantages of the MPC are its straightforward procedure which can be applied for both linear and nonlinear system. This paper proposes the use of MPC for voltage source converter (VSC) in a high ...
[ { "created": "Thu, 13 Apr 2017 22:35:54 GMT", "version": "v1" } ]
2017-04-17
[ [ "Amin", "Mohammad", "" ], [ "Molinas", "Marta", "" ] ]
Model Predictive Control (MPC) method is a class of advanced control techniques most widely applied in industry. The major advantages of the MPC are its straightforward procedure which can be applied for both linear and nonlinear system. This paper proposes the use of MPC for voltage source converter (VSC) in a high vo...
1909.05964
Ashish Tiwari
Sumit Gulwani and Kunal Pathak and Arjun Radhakrishna and Ashish Tiwari and Abhishek Udupa
Quantitative Programming by Examples
null
null
null
null
cs.PL cs.AI cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Programming-by-Example (PBE) systems synthesize an intended program in some (relatively constrained) domain-specific language from a small number of input-output examples provided by the user. In this paper, we motivate and define the problem of quantitative PBE (qPBE) that relates to synthesizing an intended program...
[ { "created": "Thu, 12 Sep 2019 21:55:00 GMT", "version": "v1" } ]
2019-09-16
[ [ "Gulwani", "Sumit", "" ], [ "Pathak", "Kunal", "" ], [ "Radhakrishna", "Arjun", "" ], [ "Tiwari", "Ashish", "" ], [ "Udupa", "Abhishek", "" ] ]
Programming-by-Example (PBE) systems synthesize an intended program in some (relatively constrained) domain-specific language from a small number of input-output examples provided by the user. In this paper, we motivate and define the problem of quantitative PBE (qPBE) that relates to synthesizing an intended program o...
2401.08868
Manuel Tran
Manuel Tran and Amal Lahiani and Yashin Dicente Cid and Melanie Boxberg and Peter Lienemann and Christian Matek and Sophia J. Wagner and Fabian J. Theis and Eldad Klaiman and Tingying Peng
B-Cos Aligned Transformers Learn Human-Interpretable Features
Accepted at MICCAI 2023 (oral). Camera-ready available at https://doi.org/10.1007/978-3-031-43993-3_50
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Vision Transformers (ViTs) and Swin Transformers (Swin) are currently state-of-the-art in computational pathology. However, domain experts are still reluctant to use these models due to their lack of interpretability. This is not surprising, as critical decisions need to be transparent and understandable. The most co...
[ { "created": "Tue, 16 Jan 2024 22:46:29 GMT", "version": "v1" }, { "created": "Thu, 18 Jan 2024 07:14:00 GMT", "version": "v2" } ]
2024-01-19
[ [ "Tran", "Manuel", "" ], [ "Lahiani", "Amal", "" ], [ "Cid", "Yashin Dicente", "" ], [ "Boxberg", "Melanie", "" ], [ "Lienemann", "Peter", "" ], [ "Matek", "Christian", "" ], [ "Wagner", "Sophia J.", "" ],...
Vision Transformers (ViTs) and Swin Transformers (Swin) are currently state-of-the-art in computational pathology. However, domain experts are still reluctant to use these models due to their lack of interpretability. This is not surprising, as critical decisions need to be transparent and understandable. The most comm...
1012.0634
Radwa El Shawi
Radwa El Shawi, Joachim Gudmundsson, and Christos Levcopoulos
Quickest Path Queries on Transportation Network
16 pages, 7 figures
null
null
null
cs.CG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper considers the problem of finding a quickest path between two points in the Euclidean plane in the presence of a transportation network. A transportation network consists of a planar network where each road (edge) has an individual speed. A traveller may enter and exit the network at any point on the roads....
[ { "created": "Fri, 3 Dec 2010 04:03:46 GMT", "version": "v1" }, { "created": "Tue, 11 Jan 2011 10:40:59 GMT", "version": "v2" }, { "created": "Sun, 29 May 2011 15:13:53 GMT", "version": "v3" } ]
2015-03-17
[ [ "Shawi", "Radwa El", "" ], [ "Gudmundsson", "Joachim", "" ], [ "Levcopoulos", "Christos", "" ] ]
This paper considers the problem of finding a quickest path between two points in the Euclidean plane in the presence of a transportation network. A transportation network consists of a planar network where each road (edge) has an individual speed. A traveller may enter and exit the network at any point on the roads. A...
1203.4063
Jesper Nederlof
Petteri Kaski, Mikko Koivisto, Jesper Nederlof
Homomorphic Hashing for Sparse Coefficient Extraction
null
null
null
null
cs.CC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study classes of Dynamic Programming (DP) algorithms which, due to their algebraic definitions, are closely related to coefficient extraction methods. DP algorithms can easily be modified to exploit sparseness in the DP table through memorization. Coefficient extraction techniques on the other hand are both space-...
[ { "created": "Mon, 19 Mar 2012 09:30:28 GMT", "version": "v1" } ]
2012-03-20
[ [ "Kaski", "Petteri", "" ], [ "Koivisto", "Mikko", "" ], [ "Nederlof", "Jesper", "" ] ]
We study classes of Dynamic Programming (DP) algorithms which, due to their algebraic definitions, are closely related to coefficient extraction methods. DP algorithms can easily be modified to exploit sparseness in the DP table through memorization. Coefficient extraction techniques on the other hand are both space-ef...
2105.05560
Yuanjie Li
Yuanjie Li, Hewu Li, Lixin Liu, Wei Liu, Jiayi Liu, Jianping Wu, Qian Wu, Jun Liu, Zeqi Lai, Guojie Fan
Fractal Rosette: A Stable Space-Ground Network Structure in Mega-Constellation
null
null
null
null
cs.NI
http://creativecommons.org/licenses/by-nc-nd/4.0/
We present F-Rosette, a stable space-ground network structure for low-earth orbit (LEO) satellite mega-constellations at scale. Due to the dynamic many-to-many space-ground mapping in high mobility, existing LEO mega-constellations with IP protocol stack suffer from frequent user IP address changes (every 133~510s pe...
[ { "created": "Wed, 12 May 2021 10:18:57 GMT", "version": "v1" } ]
2021-05-13
[ [ "Li", "Yuanjie", "" ], [ "Li", "Hewu", "" ], [ "Liu", "Lixin", "" ], [ "Liu", "Wei", "" ], [ "Liu", "Jiayi", "" ], [ "Wu", "Jianping", "" ], [ "Wu", "Qian", "" ], [ "Liu", "Jun", "" ], [...
We present F-Rosette, a stable space-ground network structure for low-earth orbit (LEO) satellite mega-constellations at scale. Due to the dynamic many-to-many space-ground mapping in high mobility, existing LEO mega-constellations with IP protocol stack suffer from frequent user IP address changes (every 133~510s per ...
2107.12190
Lalli Myllyaho
Lalli Myllyaho, Mikko Raatikainen, Tomi M\"annist\"o, Tommi Mikkonen and Jukka K. Nurminen
Systematic Literature Review of Validation Methods for AI Systems
25 pages, 6 figures, 12 tables. The manuscript has been accepted to the Journal of Systems and Software
null
10.1016/j.jss.2021.111050
null
cs.SE
http://creativecommons.org/licenses/by-nc-nd/4.0/
Context: Artificial intelligence (AI) has made its way into everyday activities, particularly through new techniques such as machine learning (ML). These techniques are implementable with little domain knowledge. This, combined with the difficulty of testing AI systems with traditional methods, has made system trustw...
[ { "created": "Mon, 26 Jul 2021 12:54:32 GMT", "version": "v1" } ]
2021-09-17
[ [ "Myllyaho", "Lalli", "" ], [ "Raatikainen", "Mikko", "" ], [ "Männistö", "Tomi", "" ], [ "Mikkonen", "Tommi", "" ], [ "Nurminen", "Jukka K.", "" ] ]
Context: Artificial intelligence (AI) has made its way into everyday activities, particularly through new techniques such as machine learning (ML). These techniques are implementable with little domain knowledge. This, combined with the difficulty of testing AI systems with traditional methods, has made system trustwor...
2209.03473
Alexandre Duval
Alexandre Duval, Fragkiskos Malliaros
Higher-order Clustering and Pooling for Graph Neural Networks
CIKM 2022
null
10.1145/3511808.3557353
null
cs.LG cs.AI
http://creativecommons.org/licenses/by/4.0/
Graph Neural Networks achieve state-of-the-art performance on a plethora of graph classification tasks, especially due to pooling operators, which aggregate learned node embeddings hierarchically into a final graph representation. However, they are not only questioned by recent work showing on par performance with ra...
[ { "created": "Fri, 2 Sep 2022 09:17:10 GMT", "version": "v1" } ]
2022-09-09
[ [ "Duval", "Alexandre", "" ], [ "Malliaros", "Fragkiskos", "" ] ]
Graph Neural Networks achieve state-of-the-art performance on a plethora of graph classification tasks, especially due to pooling operators, which aggregate learned node embeddings hierarchically into a final graph representation. However, they are not only questioned by recent work showing on par performance with rand...
1212.3638
Derrick Wing Kwan Ng Dr.
Derrick Wing Kwan Ng, Ernest S. Lo, and Robert Schober
Energy-Efficient Resource Allocation in Multiuser OFDM Systems with Wireless Information and Power Transfer
6 pages. The paper has been accepted for publication at the IEEE Wireless Communications and Networking Conference (WCNC) 2013, Shanghai, China, Apr. 2013
null
10.1109/WCNC.2013.6555184
null
cs.IT math.IT
http://creativecommons.org/licenses/by-nc-sa/3.0/
In this paper, we study the resource allocation algorithm design for multiuser orthogonal frequency division multiplexing (OFDM) downlink systems with simultaneous wireless information and power transfer. The algorithm design is formulated as a non-convex optimization problem for maximizing the energy efficiency of d...
[ { "created": "Fri, 14 Dec 2012 23:42:59 GMT", "version": "v1" }, { "created": "Mon, 31 Dec 2012 21:01:01 GMT", "version": "v2" } ]
2016-11-17
[ [ "Ng", "Derrick Wing Kwan", "" ], [ "Lo", "Ernest S.", "" ], [ "Schober", "Robert", "" ] ]
In this paper, we study the resource allocation algorithm design for multiuser orthogonal frequency division multiplexing (OFDM) downlink systems with simultaneous wireless information and power transfer. The algorithm design is formulated as a non-convex optimization problem for maximizing the energy efficiency of dat...
1909.12938
Akhil Gupta
Akhil Gupta
Time Series Modeling for Dream Team in Fantasy Premier League
International Conference on Sports Engineering (ICSE'17)
null
null
null
cs.CY cs.LG
http://creativecommons.org/licenses/by-nc-sa/4.0/
The performance of football players in English Premier League varies largely from season to season and for different teams. It is evident that a method capable of forecasting and analyzing the future of these players on-field antics shall assist the management to a great extent. In a simulated environment like the Fa...
[ { "created": "Thu, 19 Sep 2019 20:20:04 GMT", "version": "v1" } ]
2019-10-01
[ [ "Gupta", "Akhil", "" ] ]
The performance of football players in English Premier League varies largely from season to season and for different teams. It is evident that a method capable of forecasting and analyzing the future of these players on-field antics shall assist the management to a great extent. In a simulated environment like the Fant...
2207.08857
Md Nafee Al Islam
Md Nafee Al Islam, Yihong Ma, Pedro Alarcon Granadeno, Nitesh Chawla, Jane Cleland-Huang
RESAM: Requirements Elicitation and Specification for Deep-Learning Anomaly Models with Applications to UAV Flight Controllers
null
null
null
null
cs.SE cs.AI cs.MA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
CyberPhysical systems (CPS) must be closely monitored to identify and potentially mitigate emergent problems that arise during their routine operations. However, the multivariate time-series data which they typically produce can be complex to understand and analyze. While formal product documentation often provides e...
[ { "created": "Mon, 18 Jul 2022 18:09:59 GMT", "version": "v1" } ]
2022-07-20
[ [ "Islam", "Md Nafee Al", "" ], [ "Ma", "Yihong", "" ], [ "Granadeno", "Pedro Alarcon", "" ], [ "Chawla", "Nitesh", "" ], [ "Cleland-Huang", "Jane", "" ] ]
CyberPhysical systems (CPS) must be closely monitored to identify and potentially mitigate emergent problems that arise during their routine operations. However, the multivariate time-series data which they typically produce can be complex to understand and analyze. While formal product documentation often provides exa...
2401.13980
Qianqian Yang
Weixuan Chen, Shuo Shao, Qianqian Yang, Zhaoyang Zhang, Ping Zhang
A Nearly Information Theoretically Secure Approach for Semantic Communications over Wiretap Channel
13 pages, 16 figures
null
null
null
cs.IT eess.IV math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper addresses the challenge of achieving information-theoretic security in semantic communication (SeCom) over a wiretap channel, where a legitimate receiver coexists with an eavesdropper experiencing a poorer channel condition. Despite previous efforts to secure SeCom against eavesdroppers, achieving informat...
[ { "created": "Thu, 25 Jan 2024 06:46:13 GMT", "version": "v1" } ]
2024-01-26
[ [ "Chen", "Weixuan", "" ], [ "Shao", "Shuo", "" ], [ "Yang", "Qianqian", "" ], [ "Zhang", "Zhaoyang", "" ], [ "Zhang", "Ping", "" ] ]
This paper addresses the challenge of achieving information-theoretic security in semantic communication (SeCom) over a wiretap channel, where a legitimate receiver coexists with an eavesdropper experiencing a poorer channel condition. Despite previous efforts to secure SeCom against eavesdroppers, achieving informatio...
1512.07901
Marco Bressan
Marco Bressan, Enoch Peserico, Luca Pretto
Simple set cardinality estimation through random sampling
3 pages
null
null
null
cs.DM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a simple algorithm that estimates the cardinality $n$ of a set $V$ when allowed to sample elements of $V$ uniformly and independently at random. Our algorithm with probability $(1-\delta)$ returns a $(1\pm\epsilon)-$approximation of $n$ drawing $O\big(\sqrt{n} \cdot \epsilon^{-1}\sqrt{\log(\delta^{-1})}\bi...
[ { "created": "Thu, 24 Dec 2015 20:42:10 GMT", "version": "v1" }, { "created": "Mon, 18 Jan 2016 15:25:18 GMT", "version": "v2" }, { "created": "Wed, 11 Apr 2018 21:09:20 GMT", "version": "v3" } ]
2018-04-13
[ [ "Bressan", "Marco", "" ], [ "Peserico", "Enoch", "" ], [ "Pretto", "Luca", "" ] ]
We present a simple algorithm that estimates the cardinality $n$ of a set $V$ when allowed to sample elements of $V$ uniformly and independently at random. Our algorithm with probability $(1-\delta)$ returns a $(1\pm\epsilon)-$approximation of $n$ drawing $O\big(\sqrt{n} \cdot \epsilon^{-1}\sqrt{\log(\delta^{-1})}\big)...
1808.09796
Bingjie Xu
Bingjie Xu, Junnan Li, Yongkang Wong, Mohan S. Kankanhalli, and Qi Zhao
Interact as You Intend: Intention-Driven Human-Object Interaction Detection
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
The recent advances in instance-level detection tasks lay strong foundation for genuine comprehension of the visual scenes. However, the ability to fully comprehend a social scene is still in its preliminary stage. In this work, we focus on detecting human-object interactions (HOIs) in social scene images, which is d...
[ { "created": "Wed, 29 Aug 2018 13:25:50 GMT", "version": "v1" }, { "created": "Sun, 22 Sep 2019 11:45:38 GMT", "version": "v2" } ]
2019-09-24
[ [ "Xu", "Bingjie", "" ], [ "Li", "Junnan", "" ], [ "Wong", "Yongkang", "" ], [ "Kankanhalli", "Mohan S.", "" ], [ "Zhao", "Qi", "" ] ]
The recent advances in instance-level detection tasks lay strong foundation for genuine comprehension of the visual scenes. However, the ability to fully comprehend a social scene is still in its preliminary stage. In this work, we focus on detecting human-object interactions (HOIs) in social scene images, which is dem...
2101.03230
Junjie Zhong
Junjie Zhong and Hiromitsu Hattori
Generation of Traffic Flows in Multi-Agent Traffic Simulation with Agent Behavior Model based on Deep Reinforcement Learning
Experiment data maybe wrong due to the method " Repeated and Partial Training". This method may not converge to the optimal policy
null
null
null
cs.MA cs.SY eess.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In multi-agent based traffic simulation, agents are always supposed to move following existing instructions, and mechanically and unnaturally imitate human behavior. The human drivers perform acceleration or deceleration irregularly all the time, which seems unnecessary in some conditions. For letting agents in traff...
[ { "created": "Sat, 26 Dec 2020 15:13:06 GMT", "version": "v1" }, { "created": "Mon, 25 Jan 2021 05:00:00 GMT", "version": "v2" } ]
2021-01-26
[ [ "Zhong", "Junjie", "" ], [ "Hattori", "Hiromitsu", "" ] ]
In multi-agent based traffic simulation, agents are always supposed to move following existing instructions, and mechanically and unnaturally imitate human behavior. The human drivers perform acceleration or deceleration irregularly all the time, which seems unnecessary in some conditions. For letting agents in traffic...
1505.04785
Emanuel Diamant
Emanuel Diamant
Advances in Bioinformatics and Computational Biology: Don't take them too seriously anyway
The paper was submitted to the BIOCOMP'15 conference (Las Vegas, Nevada, USA, July 27-30, 2015) and was accepted as a poster presentation. arXiv admin note: text overlap with arXiv:1505.04578
null
null
null
cs.CE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the last few decades or so, we witness a paradigm shift in our nature studies - from a data-processing based computational approach to an information-processing based cognitive approach. The process is restricted and often misguided by the lack of a clear understanding about what information is and how it should b...
[ { "created": "Mon, 18 May 2015 10:18:20 GMT", "version": "v1" } ]
2015-05-20
[ [ "Diamant", "Emanuel", "" ] ]
In the last few decades or so, we witness a paradigm shift in our nature studies - from a data-processing based computational approach to an information-processing based cognitive approach. The process is restricted and often misguided by the lack of a clear understanding about what information is and how it should be ...
1303.3469
Hassan Bashir A
Hassan A. Bashir and Richard S. Neville
Hybrid Evolutionary Computation for Continuous Optimization
Companion Publications for this Technical Memorandum, available at IEEE Xplore, are: [1] H. A. Bashir and R. S. Neville, "Convergence measurement in evolutionary computation using Price's theorem," IEEE (CEC), 2012. [2] H. A. Bashir and R. S. Neville, "A hybrid evolutionary computation algorithm for global opti...
null
null
Technical Memorandum 2011-v.01
cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Hybrid optimization algorithms have gained popularity as it has become apparent there cannot be a universal optimization strategy which is globally more beneficial than any other. Despite their popularity, hybridization frameworks require more detailed categorization regarding: the nature of the problem domain, the c...
[ { "created": "Thu, 14 Mar 2013 14:59:32 GMT", "version": "v1" } ]
2013-03-15
[ [ "Bashir", "Hassan A.", "" ], [ "Neville", "Richard S.", "" ] ]
Hybrid optimization algorithms have gained popularity as it has become apparent there cannot be a universal optimization strategy which is globally more beneficial than any other. Despite their popularity, hybridization frameworks require more detailed categorization regarding: the nature of the problem domain, the con...
2012.12394
Stefano Giovanni Rizzo
Stefano Giovanni Rizzo, Linsey Pang, Yixian Chen, Sanjay Chawla
Probabilistic Outlier Detection and Generation
null
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A new method for outlier detection and generation is introduced by lifting data into the space of probability distributions which are not analytically expressible, but from which samples can be drawn using a neural generator. Given a mixture of unknown latent inlier and outlier distributions, a Wasserstein double aut...
[ { "created": "Tue, 22 Dec 2020 22:42:56 GMT", "version": "v1" } ]
2020-12-24
[ [ "Rizzo", "Stefano Giovanni", "" ], [ "Pang", "Linsey", "" ], [ "Chen", "Yixian", "" ], [ "Chawla", "Sanjay", "" ] ]
A new method for outlier detection and generation is introduced by lifting data into the space of probability distributions which are not analytically expressible, but from which samples can be drawn using a neural generator. Given a mixture of unknown latent inlier and outlier distributions, a Wasserstein double autoe...
2407.20535
Cynthia Steinhardt
Cynthia R. Steinhardt, Menoua Keshishian, Nima Mesgarani, Kim Stachenfeld
DeepSpeech models show Human-like Performance and Processing of Cochlear Implant Inputs
NEURIPS preprint
null
null
null
cs.NE cs.SD eess.AS
http://creativecommons.org/licenses/by-nc-nd/4.0/
Cochlear implants(CIs) are arguably the most successful neural implant, having restored hearing to over one million people worldwide. While CI research has focused on modeling the cochlear activations in response to low-level acoustic features, we hypothesize that the success of these implants is due in large part to...
[ { "created": "Tue, 30 Jul 2024 04:32:27 GMT", "version": "v1" } ]
2024-07-31
[ [ "Steinhardt", "Cynthia R.", "" ], [ "Keshishian", "Menoua", "" ], [ "Mesgarani", "Nima", "" ], [ "Stachenfeld", "Kim", "" ] ]
Cochlear implants(CIs) are arguably the most successful neural implant, having restored hearing to over one million people worldwide. While CI research has focused on modeling the cochlear activations in response to low-level acoustic features, we hypothesize that the success of these implants is due in large part to t...
1302.7080
Wesam Elshamy
Hassan M Emara, Wesam Elshamy, Ahmed Bahgat
Parameter Identification of Induction Motor Using Modified Particle Swarm Optimization Algorithm
IEEE International Symposium on Industrial Electronics Jul 2008, Cambridge, UK
null
10.1109/ISIE.2008.4677254
null
cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents a new technique for induction motor parameter identification. The proposed technique is based on a simple startup test using a standard V/F inverter. The recorded startup currents are compared to that obtained by simulation of an induction motor model. A Modified PSO optimization is used to find o...
[ { "created": "Thu, 28 Feb 2013 04:41:53 GMT", "version": "v1" } ]
2016-11-17
[ [ "Emara", "Hassan M", "" ], [ "Elshamy", "Wesam", "" ], [ "Bahgat", "Ahmed", "" ] ]
This paper presents a new technique for induction motor parameter identification. The proposed technique is based on a simple startup test using a standard V/F inverter. The recorded startup currents are compared to that obtained by simulation of an induction motor model. A Modified PSO optimization is used to find out...
2010.14916
Yoann Dieudonn\'e
S\'ebastien Bouchard, Yoann Dieudonn\'e, Arnaud Labourel, Andrzej Pelc
Almost-Optimal Deterministic Treasure Hunt in Arbitrary Graphs
null
null
null
null
cs.DS cs.CC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A mobile agent navigating along edges of a simple connected graph, either finite or countably infinite, has to find an inert target (treasure) hidden in one of the nodes. This task is known as treasure hunt. The agent has no a priori knowledge of the graph, of the location of the treasure or of the initial distance t...
[ { "created": "Wed, 28 Oct 2020 12:25:23 GMT", "version": "v1" }, { "created": "Tue, 3 Nov 2020 12:17:11 GMT", "version": "v2" }, { "created": "Wed, 4 Nov 2020 14:32:43 GMT", "version": "v3" }, { "created": "Thu, 11 Feb 2021 12:43:49 GMT", "version": "v4" }, { "cre...
2021-02-16
[ [ "Bouchard", "Sébastien", "" ], [ "Dieudonné", "Yoann", "" ], [ "Labourel", "Arnaud", "" ], [ "Pelc", "Andrzej", "" ] ]
A mobile agent navigating along edges of a simple connected graph, either finite or countably infinite, has to find an inert target (treasure) hidden in one of the nodes. This task is known as treasure hunt. The agent has no a priori knowledge of the graph, of the location of the treasure or of the initial distance to ...
2201.02374
Haisen Zhao
Fanchao Zhong and Yonglai Xu and Haisen Zhao and Lin Lu
As-Continuous-As-Possible Extrusion Fabrication of Surface Models
16 pages, 23 figures
null
null
null
cs.GR
http://creativecommons.org/licenses/by/4.0/
We propose a novel computational framework for optimizing the toolpath continuity in fabricating surface models on an extrusion-based 3D printer. Toolpath continuity has been a critical issue for extrusion-based fabrications that affects both quality and efficiency. Transfer moves cause non-smoothor bumpy surfaces an...
[ { "created": "Fri, 7 Jan 2022 09:18:59 GMT", "version": "v1" }, { "created": "Mon, 10 Jan 2022 20:22:50 GMT", "version": "v2" }, { "created": "Sat, 28 May 2022 08:39:43 GMT", "version": "v3" } ]
2022-05-31
[ [ "Zhong", "Fanchao", "" ], [ "Xu", "Yonglai", "" ], [ "Zhao", "Haisen", "" ], [ "Lu", "Lin", "" ] ]
We propose a novel computational framework for optimizing the toolpath continuity in fabricating surface models on an extrusion-based 3D printer. Toolpath continuity has been a critical issue for extrusion-based fabrications that affects both quality and efficiency. Transfer moves cause non-smoothor bumpy surfaces and ...
2110.10548
Ningning Xie
Ningning Xie, Tamara Norman, Dominik Grewe, Dimitrios Vytiniotis
Synthesizing Optimal Parallelism Placement and Reduction Strategies on Hierarchical Systems for Deep Learning
null
null
null
null
cs.PL cs.DC cs.LG
http://creativecommons.org/licenses/by/4.0/
We present a novel characterization of the mapping of multiple parallelism forms (e.g. data and model parallelism) onto hierarchical accelerator systems that is hierarchy-aware and greatly reduces the space of software-to-hardware mapping. We experimentally verify the substantial effect of these mappings on all-reduc...
[ { "created": "Wed, 20 Oct 2021 13:05:49 GMT", "version": "v1" }, { "created": "Tue, 16 Nov 2021 12:54:39 GMT", "version": "v2" } ]
2021-11-17
[ [ "Xie", "Ningning", "" ], [ "Norman", "Tamara", "" ], [ "Grewe", "Dominik", "" ], [ "Vytiniotis", "Dimitrios", "" ] ]
We present a novel characterization of the mapping of multiple parallelism forms (e.g. data and model parallelism) onto hierarchical accelerator systems that is hierarchy-aware and greatly reduces the space of software-to-hardware mapping. We experimentally verify the substantial effect of these mappings on all-reduce ...
2312.02207
Xiaojun Jia
Xiaojun Jia, Jindong Gu, Yihao Huang, Simeng Qin, Qing Guo, Yang Liu, Xiaochun Cao
TranSegPGD: Improving Transferability of Adversarial Examples on Semantic Segmentation
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Transferability of adversarial examples on image classification has been systematically explored, which generates adversarial examples in black-box mode. However, the transferability of adversarial examples on semantic segmentation has been largely overlooked. In this paper, we propose an effective two-stage adversar...
[ { "created": "Sun, 3 Dec 2023 00:48:33 GMT", "version": "v1" } ]
2023-12-06
[ [ "Jia", "Xiaojun", "" ], [ "Gu", "Jindong", "" ], [ "Huang", "Yihao", "" ], [ "Qin", "Simeng", "" ], [ "Guo", "Qing", "" ], [ "Liu", "Yang", "" ], [ "Cao", "Xiaochun", "" ] ]
Transferability of adversarial examples on image classification has been systematically explored, which generates adversarial examples in black-box mode. However, the transferability of adversarial examples on semantic segmentation has been largely overlooked. In this paper, we propose an effective two-stage adversaria...
2204.04421
Ronghao Dang
Ronghao Dang, Zhuofan Shi, Liuyi Wang, Zongtao He, Chengju Liu, Qijun Chen
Unbiased Directed Object Attention Graph for Object Navigation
13 pages, accepted by ACM Mutimedia 2022
null
null
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Object navigation tasks require agents to locate specific objects in unknown environments based on visual information. Previously, graph convolutions were used to implicitly explore the relationships between objects. However, due to differences in visibility among objects, it is easy to generate biases in object atte...
[ { "created": "Sat, 9 Apr 2022 08:13:05 GMT", "version": "v1" }, { "created": "Fri, 8 Jul 2022 01:41:38 GMT", "version": "v2" } ]
2022-07-11
[ [ "Dang", "Ronghao", "" ], [ "Shi", "Zhuofan", "" ], [ "Wang", "Liuyi", "" ], [ "He", "Zongtao", "" ], [ "Liu", "Chengju", "" ], [ "Chen", "Qijun", "" ] ]
Object navigation tasks require agents to locate specific objects in unknown environments based on visual information. Previously, graph convolutions were used to implicitly explore the relationships between objects. However, due to differences in visibility among objects, it is easy to generate biases in object attent...
2205.11908
Siddhartha Siddhartha
Siddhartha
An interpretation of the final fully connected layer
null
null
null
null
cs.LG cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In recent years neural networks have achieved state-of-the-art accuracy for various tasks but the the interpretation of the generated outputs still remains difficult. In this work we attempt to provide a method to understand the learnt weights in the final fully connected layer in image classification models. We moti...
[ { "created": "Tue, 24 May 2022 09:05:19 GMT", "version": "v1" } ]
2022-05-25
[ [ "Siddhartha", "", "" ] ]
In recent years neural networks have achieved state-of-the-art accuracy for various tasks but the the interpretation of the generated outputs still remains difficult. In this work we attempt to provide a method to understand the learnt weights in the final fully connected layer in image classification models. We motiva...
2311.11707
Dimitri Watel
Dominique Barth (DAVID, UVSQ), Thierry Mautor (DAVID, UVSQ), Dimitri Watel (SAMOVAR, ENSIIE), Marc-Antoine Weisser (LISN, GALaC)
Configuring an heterogeneous smartgrid network: complexity and approximations for tree topologies
Journal of Global Optimization, 2023
null
10.1007/s10898-023-01338-0
null
cs.CC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We address the problem of configuring a power distribution network with reliability and resilience objectives by satisfying the demands of the consumers and saturating each production source as little as possible. We consider power distribution networks containing source nodes producing electricity, nodes representin...
[ { "created": "Mon, 20 Nov 2023 12:22:26 GMT", "version": "v1" } ]
2023-11-21
[ [ "Barth", "Dominique", "", "DAVID, UVSQ" ], [ "Mautor", "Thierry", "", "DAVID, UVSQ" ], [ "Watel", "Dimitri", "", "SAMOVAR, ENSIIE" ], [ "Weisser", "Marc-Antoine", "", "LISN, GALaC" ] ]
We address the problem of configuring a power distribution network with reliability and resilience objectives by satisfying the demands of the consumers and saturating each production source as little as possible. We consider power distribution networks containing source nodes producing electricity, nodes representing ...
2301.10608
Arlindo Oliveira L
Tiago Oliveira, Tiago Marques, Arlindo L. Oliveira
Connecting metrics for shape-texture knowledge in computer vision
7 pages, 3 figures
null
null
null
cs.CV cs.LG
http://creativecommons.org/licenses/by/4.0/
Modern artificial neural networks, including convolutional neural networks and vision transformers, have mastered several computer vision tasks, including object recognition. However, there are many significant differences between the behavior and robustness of these systems and of the human visual system. Deep neura...
[ { "created": "Wed, 25 Jan 2023 14:37:42 GMT", "version": "v1" } ]
2023-01-26
[ [ "Oliveira", "Tiago", "" ], [ "Marques", "Tiago", "" ], [ "Oliveira", "Arlindo L.", "" ] ]
Modern artificial neural networks, including convolutional neural networks and vision transformers, have mastered several computer vision tasks, including object recognition. However, there are many significant differences between the behavior and robustness of these systems and of the human visual system. Deep neural ...
2302.06354
Gal Kaplun
Gal Kaplun, Andrey Gurevich, Tal Swisa, Mazor David, Shai Shalev-Shwartz and Eran Malach
Less is More: Selective Layer Finetuning with SubTuning
null
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by-nc-nd/4.0/
Finetuning a pretrained model has become a standard approach for training neural networks on novel tasks, resulting in fast convergence and improved performance. In this work, we study an alternative finetuning method, where instead of finetuning all the weights of the network, we only train a carefully chosen subset...
[ { "created": "Mon, 13 Feb 2023 13:38:46 GMT", "version": "v1" }, { "created": "Tue, 14 Feb 2023 02:03:11 GMT", "version": "v2" }, { "created": "Sun, 2 Jul 2023 12:28:46 GMT", "version": "v3" } ]
2023-07-04
[ [ "Kaplun", "Gal", "" ], [ "Gurevich", "Andrey", "" ], [ "Swisa", "Tal", "" ], [ "David", "Mazor", "" ], [ "Shalev-Shwartz", "Shai", "" ], [ "Malach", "Eran", "" ] ]
Finetuning a pretrained model has become a standard approach for training neural networks on novel tasks, resulting in fast convergence and improved performance. In this work, we study an alternative finetuning method, where instead of finetuning all the weights of the network, we only train a carefully chosen subset o...
2304.02444
P\'eter Antal
P\'eter Antal, Tam\'as P\'eni, and Roland T\'oth
Autonomous Hook-Based Grasping and Transportation with Quadcopters
null
null
null
null
cs.RO cs.SY eess.SY
http://creativecommons.org/licenses/by-nc-sa/4.0/
Payload grasping and transportation with quadcopters is an active research area that has rapidly developed over the last decade. To grasp a payload without human interaction, most state-of-the-art approaches apply robotic arms that are attached to the quadcopter body. However, due to the large weight and power consum...
[ { "created": "Wed, 5 Apr 2023 14:02:53 GMT", "version": "v1" }, { "created": "Tue, 26 Mar 2024 08:13:01 GMT", "version": "v2" } ]
2024-03-27
[ [ "Antal", "Péter", "" ], [ "Péni", "Tamás", "" ], [ "Tóth", "Roland", "" ] ]
Payload grasping and transportation with quadcopters is an active research area that has rapidly developed over the last decade. To grasp a payload without human interaction, most state-of-the-art approaches apply robotic arms that are attached to the quadcopter body. However, due to the large weight and power consumpt...
2103.03434
Ojas Kanhere
O. Kanhere, A. Chopra, A. Thornburg, T. S. Rappaport, and S. S. Ghassemzadeh
Performance Impact Analysis of Beam Switching in Millimeter Wave Vehicular Communications
IEEE 93rd Vehicular Technology Conference (VTC-Spring)
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Millimeter wave wireless spectrum deployments will allow vehicular communications to share high data rate vehicular sensor data in real-time. The highly directional nature of wireless links in millimeter spectral bands will require continuous channel measurements to ensure the transmitter (TX) and receiver (RX) beams...
[ { "created": "Fri, 5 Mar 2021 02:16:01 GMT", "version": "v1" } ]
2021-03-08
[ [ "Kanhere", "O.", "" ], [ "Chopra", "A.", "" ], [ "Thornburg", "A.", "" ], [ "Rappaport", "T. S.", "" ], [ "Ghassemzadeh", "S. S.", "" ] ]
Millimeter wave wireless spectrum deployments will allow vehicular communications to share high data rate vehicular sensor data in real-time. The highly directional nature of wireless links in millimeter spectral bands will require continuous channel measurements to ensure the transmitter (TX) and receiver (RX) beams a...
2310.13343
Yuxuan Zhao
Xiaoliang Chen, Liangbin Li, Le Chang, Yunhe Huang, Yuxuan Zhao, Yuxiao Zhang, Dinuo Li
Challenges and Contributing Factors in the Utilization of Large Language Models (LLMs)
null
null
null
null
cs.CL cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With the development of large language models (LLMs) like the GPT series, their widespread use across various application scenarios presents a myriad of challenges. This review initially explores the issue of domain specificity, where LLMs may struggle to provide precise answers to specialized questions within niche ...
[ { "created": "Fri, 20 Oct 2023 08:13:36 GMT", "version": "v1" } ]
2023-10-23
[ [ "Chen", "Xiaoliang", "" ], [ "Li", "Liangbin", "" ], [ "Chang", "Le", "" ], [ "Huang", "Yunhe", "" ], [ "Zhao", "Yuxuan", "" ], [ "Zhang", "Yuxiao", "" ], [ "Li", "Dinuo", "" ] ]
With the development of large language models (LLMs) like the GPT series, their widespread use across various application scenarios presents a myriad of challenges. This review initially explores the issue of domain specificity, where LLMs may struggle to provide precise answers to specialized questions within niche fi...
2004.03153
Yang Zhang
Yang Zhang, Changhui Hu, Xiaobo Lu
Adaptive Multiscale Illumination-Invariant Feature Representation for Undersampled Face Recognition
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents an novel illumination-invariant feature representation approach used to eliminate the varying illumination affection in undersampled face recognition. Firstly, a new illumination level classification technique based on Singular Value Decomposition (SVD) is proposed to judge the illumination level ...
[ { "created": "Tue, 7 Apr 2020 06:48:44 GMT", "version": "v1" } ]
2020-04-08
[ [ "Zhang", "Yang", "" ], [ "Hu", "Changhui", "" ], [ "Lu", "Xiaobo", "" ] ]
This paper presents an novel illumination-invariant feature representation approach used to eliminate the varying illumination affection in undersampled face recognition. Firstly, a new illumination level classification technique based on Singular Value Decomposition (SVD) is proposed to judge the illumination level of...
1912.07747
William Hsu
Huichen Yang, Carlos A. Aguirre, Maria F. De La Torre, Derek Christensen, Luis Bobadilla, Emily Davich, Jordan Roth, Lei Luo, Yihong Theis, Alice Lam, T. Yong-Jin Han, David Buttler, William H. Hsu
Pipelines for Procedural Information Extraction from Scientific Literature: Towards Recipes using Machine Learning and Data Science
15th International Conference on Document Analysis and Recognition Workshops (ICDARW 2019)
null
10.1109/ICDARW.2019.10037
2019-1
cs.IR cs.CL cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper describes a machine learning and data science pipeline for structured information extraction from documents, implemented as a suite of open-source tools and extensions to existing tools. It centers around a methodology for extracting procedural information in the form of recipes, stepwise procedures for cr...
[ { "created": "Mon, 16 Dec 2019 23:04:03 GMT", "version": "v1" } ]
2019-12-18
[ [ "Yang", "Huichen", "" ], [ "Aguirre", "Carlos A.", "" ], [ "De La Torre", "Maria F.", "" ], [ "Christensen", "Derek", "" ], [ "Bobadilla", "Luis", "" ], [ "Davich", "Emily", "" ], [ "Roth", "Jordan", "" ]...
This paper describes a machine learning and data science pipeline for structured information extraction from documents, implemented as a suite of open-source tools and extensions to existing tools. It centers around a methodology for extracting procedural information in the form of recipes, stepwise procedures for crea...
2302.12458
Hoi Man Lam
Hoi Man Lam, W. Jared Walker, Lucas Jonasch, Dimitri Schreiber, and Michael C. Yip
Design and Mechanics of Cable-Driven Rolling Diaphragm Transmission for High-Transparency Robotic Motion
7 pages, 13 figures
null
null
null
cs.RO cs.SY eess.SY
http://creativecommons.org/licenses/by/4.0/
Applications of rolling diaphragm transmissions for medical and teleoperated robotics are of great interest, due to the low friction of rolling diaphragms combined with the power density and stiffness of hydraulic transmissions. However, the stiffness-enabling pressure preloads can form a tradeoff against bearing loa...
[ { "created": "Fri, 24 Feb 2023 05:18:00 GMT", "version": "v1" } ]
2023-02-27
[ [ "Lam", "Hoi Man", "" ], [ "Walker", "W. Jared", "" ], [ "Jonasch", "Lucas", "" ], [ "Schreiber", "Dimitri", "" ], [ "Yip", "Michael C.", "" ] ]
Applications of rolling diaphragm transmissions for medical and teleoperated robotics are of great interest, due to the low friction of rolling diaphragms combined with the power density and stiffness of hydraulic transmissions. However, the stiffness-enabling pressure preloads can form a tradeoff against bearing loadi...
1211.1265
Emmanuel d'Angelo
Emmanuel d'Angelo, Laurent jacques, Alexandre Alahi, Pierre Vandergheynst
From Bits to Images: Inversion of Local Binary Descriptors
null
null
null
null
cs.CV cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Local Binary Descriptors are becoming more and more popular for image matching tasks, especially when going mobile. While they are extensively studied in this context, their ability to carry enough information in order to infer the original image is seldom addressed. In this work, we leverage an inverse problem app...
[ { "created": "Tue, 6 Nov 2012 15:32:34 GMT", "version": "v1" } ]
2012-11-07
[ [ "d'Angelo", "Emmanuel", "" ], [ "jacques", "Laurent", "" ], [ "Alahi", "Alexandre", "" ], [ "Vandergheynst", "Pierre", "" ] ]
Local Binary Descriptors are becoming more and more popular for image matching tasks, especially when going mobile. While they are extensively studied in this context, their ability to carry enough information in order to infer the original image is seldom addressed. In this work, we leverage an inverse problem approac...
1403.2431
Gabriele Fici
Gabriele Fici, Travis Gagie, Juha K\"arkk\"ainen, Dominik Kempa
A Subquadratic Algorithm for Minimum Palindromic Factorization
Accepted for publication in Journal of Discrete Algorithms
null
10.1016/j.jda.2014.08.001
null
cs.DS cs.DM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We give an $\mathcal{O}(n \log n)$-time, $\mathcal{O}(n)$-space algorithm for factoring a string into the minimum number of palindromic substrings. That is, given a string $S [1..n]$, in $\mathcal{O}(n \log n)$ time our algorithm returns the minimum number of palindromes $S_1,\ldots, S_\ell$ such that $S = S_1 \cdots...
[ { "created": "Mon, 10 Mar 2014 22:18:40 GMT", "version": "v1" }, { "created": "Thu, 7 Aug 2014 09:52:23 GMT", "version": "v2" } ]
2020-12-15
[ [ "Fici", "Gabriele", "" ], [ "Gagie", "Travis", "" ], [ "Kärkkäinen", "Juha", "" ], [ "Kempa", "Dominik", "" ] ]
We give an $\mathcal{O}(n \log n)$-time, $\mathcal{O}(n)$-space algorithm for factoring a string into the minimum number of palindromic substrings. That is, given a string $S [1..n]$, in $\mathcal{O}(n \log n)$ time our algorithm returns the minimum number of palindromes $S_1,\ldots, S_\ell$ such that $S = S_1 \cdots S...
1904.03828
Dacheng Tao
Chen Gong, Dacheng Tao, Xiaojun Chang, Jian Yang
Ensemble Teaching for Hybrid Label Propagation
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Label propagation aims to iteratively diffuse the label information from labeled examples to unlabeled examples over a similarity graph. Current label propagation algorithms cannot consistently yield satisfactory performance due to two reasons: one is the instability of single propagation method in dealing with vario...
[ { "created": "Mon, 8 Apr 2019 04:10:40 GMT", "version": "v1" } ]
2019-04-09
[ [ "Gong", "Chen", "" ], [ "Tao", "Dacheng", "" ], [ "Chang", "Xiaojun", "" ], [ "Yang", "Jian", "" ] ]
Label propagation aims to iteratively diffuse the label information from labeled examples to unlabeled examples over a similarity graph. Current label propagation algorithms cannot consistently yield satisfactory performance due to two reasons: one is the instability of single propagation method in dealing with various...
2306.02275
Yulin He
Yulin He, Wei Chen, Yusong Tan, Siqi Wang
USD: Unknown Sensitive Detector Empowered by Decoupled Objectness and Segment Anything Model
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Open World Object Detection (OWOD) is a novel and challenging computer vision task that enables object detection with the ability to detect unknown objects. Existing methods typically estimate the object likelihood with an additional objectness branch, but ignore the conflict in learning objectness and classification...
[ { "created": "Sun, 4 Jun 2023 06:42:09 GMT", "version": "v1" } ]
2023-06-06
[ [ "He", "Yulin", "" ], [ "Chen", "Wei", "" ], [ "Tan", "Yusong", "" ], [ "Wang", "Siqi", "" ] ]
Open World Object Detection (OWOD) is a novel and challenging computer vision task that enables object detection with the ability to detect unknown objects. Existing methods typically estimate the object likelihood with an additional objectness branch, but ignore the conflict in learning objectness and classification b...
cs/0408063
Alexander Haubold
Alexander Haubold, John R. Kender
Analysis and Visualization of Index Words from Audio Transcripts of Instructional Videos
2004 IEEE International Workshop on Multimedia Content-based Analysis and Retrieval; 20 pages, 8 figures, 7 tables
null
10.1109/MMSE.2004.27
null
cs.IR cs.MM
null
We introduce new techniques for extracting, analyzing, and visualizing textual contents from instructional videos of low production quality. Using Automatic Speech Recognition, approximate transcripts (H75% Word Error Rate) are obtained from the originally highly compressed videos of university courses, each comprisi...
[ { "created": "Fri, 27 Aug 2004 20:45:32 GMT", "version": "v1" } ]
2016-11-15
[ [ "Haubold", "Alexander", "" ], [ "Kender", "John R.", "" ] ]
We introduce new techniques for extracting, analyzing, and visualizing textual contents from instructional videos of low production quality. Using Automatic Speech Recognition, approximate transcripts (H75% Word Error Rate) are obtained from the originally highly compressed videos of university courses, each comprising...
2104.01322
Wolfgang Utschick
Wolfgang Utschick, Valentina Rizzello, Michael Joham, Zhengxiang Ma, and Leonard Piazzi
Learning the CSI Recovery in FDD Systems
null
null
null
null
cs.IT math.IT
http://creativecommons.org/licenses/by/4.0/
We propose an innovative machine learning-based technique to address the problem of channel acquisition at the base station in frequency division duplex systems. In this context, the base station reconstructs the full channel state information in the downlink frequency range based on limited downlink channel state in...
[ { "created": "Sat, 3 Apr 2021 06:35:24 GMT", "version": "v1" }, { "created": "Sun, 3 Oct 2021 10:31:55 GMT", "version": "v2" } ]
2021-10-05
[ [ "Utschick", "Wolfgang", "" ], [ "Rizzello", "Valentina", "" ], [ "Joham", "Michael", "" ], [ "Ma", "Zhengxiang", "" ], [ "Piazzi", "Leonard", "" ] ]
We propose an innovative machine learning-based technique to address the problem of channel acquisition at the base station in frequency division duplex systems. In this context, the base station reconstructs the full channel state information in the downlink frequency range based on limited downlink channel state info...
1204.4111
Tobias Harks
Tobias Harks and Britta Peis
Resource Buying Games
null
null
null
null
cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In resource buying games a set of players jointly buys a subset of a finite resource set E (e.g., machines, edges, or nodes in a digraph). The cost of a resource e depends on the number (or load) of players using e, and has to be paid completely by the players before it becomes available. Each player i needs at least...
[ { "created": "Wed, 18 Apr 2012 15:47:25 GMT", "version": "v1" } ]
2012-04-19
[ [ "Harks", "Tobias", "" ], [ "Peis", "Britta", "" ] ]
In resource buying games a set of players jointly buys a subset of a finite resource set E (e.g., machines, edges, or nodes in a digraph). The cost of a resource e depends on the number (or load) of players using e, and has to be paid completely by the players before it becomes available. Each player i needs at least o...
2304.08464
Yifan Yin
Yifan Yin, Yutai Wang, Yunpu Zhang, Russell H. Taylor, and Balazs P. Vagvolgyi
Applications of Uncalibrated Image Based Visual Servoing in Micro- and Macroscale Robotics
null
null
null
null
cs.RO
http://creativecommons.org/licenses/by-nc-nd/4.0/
We present a robust markerless image based visual servoing method that enables precision robot control without hand-eye and camera calibrations in 1, 3, and 5 degrees-of-freedom. The system uses two cameras for observing the workspace and a combination of classical image processing algorithms and deep learning based ...
[ { "created": "Mon, 17 Apr 2023 17:41:02 GMT", "version": "v1" } ]
2023-04-18
[ [ "Yin", "Yifan", "" ], [ "Wang", "Yutai", "" ], [ "Zhang", "Yunpu", "" ], [ "Taylor", "Russell H.", "" ], [ "Vagvolgyi", "Balazs P.", "" ] ]
We present a robust markerless image based visual servoing method that enables precision robot control without hand-eye and camera calibrations in 1, 3, and 5 degrees-of-freedom. The system uses two cameras for observing the workspace and a combination of classical image processing algorithms and deep learning based me...
0705.0817
Andrea Lo Pumo
Andrea Lo Pumo
Quantum Shortest Path Netsukuku
null
null
null
null
cs.NI
null
This document describes the QSPN, the routing discovery algorithm used by Netsukuku. Through a deductive analysis the main proprieties of the QSPN are shown. Moreover, a second version of the algorithm, is presented.
[ { "created": "Sun, 6 May 2007 20:05:44 GMT", "version": "v1" } ]
2007-05-23
[ [ "Pumo", "Andrea Lo", "" ] ]
This document describes the QSPN, the routing discovery algorithm used by Netsukuku. Through a deductive analysis the main proprieties of the QSPN are shown. Moreover, a second version of the algorithm, is presented.
1810.09786
Fabian Falck
Fabian Falck, Sagar Doshi, Nico Smuts, John Lingi, Kim Rants, Petar Kormushev
Human-centered manipulation and navigation with Robot DE NIRO
In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2018) Workshop "Towards Robots that Exhibit Manipulation Intelligence", Madrid, Spain, Oct. 1, 2018
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Social assistance robots in health and elderly care have the potential to support and ease human lives. Given the macrosocial trends of aging and long-lived populations, robotics-based care research mainly focused on helping the elderly live independently. In this paper, we introduce Robot DE NIRO, a research platfor...
[ { "created": "Tue, 23 Oct 2018 11:30:33 GMT", "version": "v1" } ]
2018-10-24
[ [ "Falck", "Fabian", "" ], [ "Doshi", "Sagar", "" ], [ "Smuts", "Nico", "" ], [ "Lingi", "John", "" ], [ "Rants", "Kim", "" ], [ "Kormushev", "Petar", "" ] ]
Social assistance robots in health and elderly care have the potential to support and ease human lives. Given the macrosocial trends of aging and long-lived populations, robotics-based care research mainly focused on helping the elderly live independently. In this paper, we introduce Robot DE NIRO, a research platform ...
1605.02043
Lingda Li
Lingda Li, Ari B. Hayes, Stephen A. Hackler, Eddy Z. Zhang, Mario Szegedy, Shuaiwen Leon Song
A Graph-based Model for GPU Caching Problems
Currently under submission
null
null
null
cs.DC cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Modeling data sharing in GPU programs is a challenging task because of the massive parallelism and complex data sharing patterns provided by GPU architectures. Better GPU caching efficiency can be achieved through careful task scheduling among different threads. Traditionally, in the field of parallel computing, grap...
[ { "created": "Fri, 6 May 2016 19:12:06 GMT", "version": "v1" } ]
2016-10-04
[ [ "Li", "Lingda", "" ], [ "Hayes", "Ari B.", "" ], [ "Hackler", "Stephen A.", "" ], [ "Zhang", "Eddy Z.", "" ], [ "Szegedy", "Mario", "" ], [ "Song", "Shuaiwen Leon", "" ] ]
Modeling data sharing in GPU programs is a challenging task because of the massive parallelism and complex data sharing patterns provided by GPU architectures. Better GPU caching efficiency can be achieved through careful task scheduling among different threads. Traditionally, in the field of parallel computing, graph ...
2308.05368
Jacopo Tagliabue
Jacopo Tagliabue, Ciro Greco, Luca Bigon
Building a serverless Data Lakehouse from spare parts
Paper accepted for the Second International Workshop on Composable Data Management Systems (@ VLDB 2023)
null
null
null
cs.DB cs.DC cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The recently proposed Data Lakehouse architecture is built on open file formats, performance, and first-class support for data transformation, BI and data science: while the vision stresses the importance of lowering the barrier for data work, existing implementations often struggle to live up to user expectations. A...
[ { "created": "Thu, 10 Aug 2023 06:24:25 GMT", "version": "v1" } ]
2023-08-11
[ [ "Tagliabue", "Jacopo", "" ], [ "Greco", "Ciro", "" ], [ "Bigon", "Luca", "" ] ]
The recently proposed Data Lakehouse architecture is built on open file formats, performance, and first-class support for data transformation, BI and data science: while the vision stresses the importance of lowering the barrier for data work, existing implementations often struggle to live up to user expectations. At ...
2005.04864
Xingyu Chen
Xingyu Chen and Zijie Liu
The Fairness of Leximin in Allocation of Indivisible Chores
null
null
null
null
cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The leximin solution -- which selects an allocation that maximizes the minimum utility, then the second minimum utility, and so forth -- is known to provide EFX (envy-free up to any good) fairness guarantee in some contexts when allocating indivisible goods. However, it remains unknown how fair the leximin solution i...
[ { "created": "Mon, 11 May 2020 05:15:43 GMT", "version": "v1" } ]
2020-05-12
[ [ "Chen", "Xingyu", "" ], [ "Liu", "Zijie", "" ] ]
The leximin solution -- which selects an allocation that maximizes the minimum utility, then the second minimum utility, and so forth -- is known to provide EFX (envy-free up to any good) fairness guarantee in some contexts when allocating indivisible goods. However, it remains unknown how fair the leximin solution is ...
2204.02337
Vignesh Ram Somnath
Vignesh Ram Somnath, Charlotte Bunne, Andreas Krause
Multi-Scale Representation Learning on Proteins
Neural Information Processing Systems 2021
null
null
null
cs.LG cs.AI q-bio.BM
http://creativecommons.org/licenses/by/4.0/
Proteins are fundamental biological entities mediating key roles in cellular function and disease. This paper introduces a multi-scale graph construction of a protein -- HoloProt -- connecting surface to structure and sequence. The surface captures coarser details of the protein, while sequence as primary component a...
[ { "created": "Mon, 4 Apr 2022 08:29:17 GMT", "version": "v1" } ]
2022-04-06
[ [ "Somnath", "Vignesh Ram", "" ], [ "Bunne", "Charlotte", "" ], [ "Krause", "Andreas", "" ] ]
Proteins are fundamental biological entities mediating key roles in cellular function and disease. This paper introduces a multi-scale graph construction of a protein -- HoloProt -- connecting surface to structure and sequence. The surface captures coarser details of the protein, while sequence as primary component and...
2311.15460
Anantaa Kotal
Anantaa Kotal, Lavanya Elluri, Deepti Gupta, Varun Mandalapu and Anupam Joshi
Privacy-Preserving Data Sharing in Agriculture: Enforcing Policy Rules for Secure and Confidential Data Synthesis
null
null
10.1109/BigData59044.2023.10386276
null
cs.CR cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Big Data empowers the farming community with the information needed to optimize resource usage, increase productivity, and enhance the sustainability of agricultural practices. The use of Big Data in farming requires the collection and analysis of data from various sources such as sensors, satellites, and farmer surv...
[ { "created": "Mon, 27 Nov 2023 00:12:47 GMT", "version": "v1" } ]
2024-01-29
[ [ "Kotal", "Anantaa", "" ], [ "Elluri", "Lavanya", "" ], [ "Gupta", "Deepti", "" ], [ "Mandalapu", "Varun", "" ], [ "Joshi", "Anupam", "" ] ]
Big Data empowers the farming community with the information needed to optimize resource usage, increase productivity, and enhance the sustainability of agricultural practices. The use of Big Data in farming requires the collection and analysis of data from various sources such as sensors, satellites, and farmer survey...
1611.02776
Daoyuan Jia
Daoyuan Jia, Yongchi Su, Chunping Li
Deep Convolutional Neural Network for 6-DOF Image Localization
will update soon
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
We present an accurate and robust method for six degree of freedom image localization. There are two key-points of our method, 1. automatic immense photo synthesis and labeling from point cloud model and, 2. pose estimation with deep convolutional neural networks regression. Our model can directly regresses 6-DOF cam...
[ { "created": "Tue, 8 Nov 2016 23:59:16 GMT", "version": "v1" } ]
2016-11-10
[ [ "Jia", "Daoyuan", "" ], [ "Su", "Yongchi", "" ], [ "Li", "Chunping", "" ] ]
We present an accurate and robust method for six degree of freedom image localization. There are two key-points of our method, 1. automatic immense photo synthesis and labeling from point cloud model and, 2. pose estimation with deep convolutional neural networks regression. Our model can directly regresses 6-DOF camer...
2102.10708
Mahdi Fahmideh
Mahdi Fahmideh, Aakash Ahmed, Ali Behnaz, John Grundy, Willy Susilo
Software Engineering for Internet of Things: The Practitioner's Perspective
null
null
null
null
cs.SE
http://creativecommons.org/licenses/by/4.0/
Internet of Things based systems (IoT systems for short) are becoming increasingly popular across different industrial domains and their development is rapidly increasing to provide value-added services to end-users and citizens. Little research to date uncovers the core development process lifecycle needed for IoT s...
[ { "created": "Sun, 21 Feb 2021 23:09:32 GMT", "version": "v1" }, { "created": "Wed, 7 Apr 2021 23:42:45 GMT", "version": "v2" }, { "created": "Wed, 5 May 2021 05:55:32 GMT", "version": "v3" } ]
2021-05-06
[ [ "Fahmideh", "Mahdi", "" ], [ "Ahmed", "Aakash", "" ], [ "Behnaz", "Ali", "" ], [ "Grundy", "John", "" ], [ "Susilo", "Willy", "" ] ]
Internet of Things based systems (IoT systems for short) are becoming increasingly popular across different industrial domains and their development is rapidly increasing to provide value-added services to end-users and citizens. Little research to date uncovers the core development process lifecycle needed for IoT sys...
1607.01383
Karim Banawan
Karim Banawan, Sennur Ulukus
MIMO Wiretap Channel under Receiver Side Power Constraints with Applications to Wireless Power Transfer and Cognitive Radio
Submitted to IEEE Transactions on Communications, September 2015. Accepted for publication, July 2016
null
10.1109/TCOMM.2016.2593739
null
cs.IT cs.CR cs.NI math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider the multiple-input multiple-output (MIMO) wiretap channel under a minimum receiver-side power constraint in addition to the usual maximum transmitter-side power constraint. This problem is motivated by energy harvesting communications with wireless energy transfer, where an added goal is to deliver a mini...
[ { "created": "Tue, 5 Jul 2016 19:49:39 GMT", "version": "v1" } ]
2016-11-17
[ [ "Banawan", "Karim", "" ], [ "Ulukus", "Sennur", "" ] ]
We consider the multiple-input multiple-output (MIMO) wiretap channel under a minimum receiver-side power constraint in addition to the usual maximum transmitter-side power constraint. This problem is motivated by energy harvesting communications with wireless energy transfer, where an added goal is to deliver a minimu...
2204.00541
Chuhan Wu
Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
FairRank: Fairness-aware Single-tower Ranking Framework for News Recommendation
null
null
null
null
cs.IR
http://creativecommons.org/licenses/by/4.0/
Single-tower models are widely used in the ranking stage of news recommendation to accurately rank candidate news according to their fine-grained relatedness with user interest indicated by user behaviors. However, these models can easily inherit the biases related to users' sensitive attributes (e.g., demographics) ...
[ { "created": "Fri, 1 Apr 2022 16:07:31 GMT", "version": "v1" } ]
2022-04-04
[ [ "Wu", "Chuhan", "" ], [ "Wu", "Fangzhao", "" ], [ "Qi", "Tao", "" ], [ "Huang", "Yongfeng", "" ] ]
Single-tower models are widely used in the ranking stage of news recommendation to accurately rank candidate news according to their fine-grained relatedness with user interest indicated by user behaviors. However, these models can easily inherit the biases related to users' sensitive attributes (e.g., demographics) en...
2402.06044
Hainiu Xu
Hainiu Xu, Runcong Zhao, Lixing Zhu, Jinhua Du, Yulan He
OpenToM: A Comprehensive Benchmark for Evaluating Theory-of-Mind Reasoning Capabilities of Large Language Models
ACL 2024
null
null
null
cs.AI cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Neural Theory-of-Mind (N-ToM), machine's ability to understand and keep track of the mental states of others, is pivotal in developing socially intelligent agents. However, prevalent N-ToM benchmarks have several shortcomings, including the presence of ambiguous and artificial narratives, absence of personality trait...
[ { "created": "Thu, 8 Feb 2024 20:35:06 GMT", "version": "v1" }, { "created": "Wed, 14 Feb 2024 13:23:51 GMT", "version": "v2" }, { "created": "Mon, 3 Jun 2024 10:48:16 GMT", "version": "v3" } ]
2024-06-04
[ [ "Xu", "Hainiu", "" ], [ "Zhao", "Runcong", "" ], [ "Zhu", "Lixing", "" ], [ "Du", "Jinhua", "" ], [ "He", "Yulan", "" ] ]
Neural Theory-of-Mind (N-ToM), machine's ability to understand and keep track of the mental states of others, is pivotal in developing socially intelligent agents. However, prevalent N-ToM benchmarks have several shortcomings, including the presence of ambiguous and artificial narratives, absence of personality traits ...
cs/0106008
M. H. van Emden
M.H. van Emden
Computing Functional and Relational Box Consistency by Structured Propagation in Atomic Constraint Systems
Presented at the Sixth Annual Workshop of the ERCIM Working Group on Constraints. 12 pages
null
null
Univ. of Victoria Computer Science Dept Technical Report DCS-266-IR
cs.PL cs.AI
null
Box consistency has been observed to yield exponentially better performance than chaotic constraint propagation in the interval constraint system obtained by decomposing the original expression into primitive constraints. The claim was made that the improvement is due to avoiding decomposition. In this paper we argue...
[ { "created": "Thu, 7 Jun 2001 14:50:40 GMT", "version": "v1" } ]
2007-05-23
[ [ "van Emden", "M. H.", "" ] ]
Box consistency has been observed to yield exponentially better performance than chaotic constraint propagation in the interval constraint system obtained by decomposing the original expression into primitive constraints. The claim was made that the improvement is due to avoiding decomposition. In this paper we argue t...
2307.16045
Ana-Maria Bucur
Ana-Maria Bucur, Andreea Dinc\u{a}, M\u{a}d\u{a}lina Chitez and Roxana Rogobete
Automatic Extraction of the Romanian Academic Word List: Data and Methods
null
null
null
null
cs.CL
http://creativecommons.org/licenses/by-nc-nd/4.0/
This paper presents the methodology and data used for the automatic extraction of the Romanian Academic Word List (Ro-AWL). Academic Word Lists are useful in both L2 and L1 teaching contexts. For the Romanian language, no such resource exists so far. Ro-AWL has been generated by combining methods from corpus and comp...
[ { "created": "Sat, 29 Jul 2023 18:21:38 GMT", "version": "v1" } ]
2023-08-01
[ [ "Bucur", "Ana-Maria", "" ], [ "Dincă", "Andreea", "" ], [ "Chitez", "Mădălina", "" ], [ "Rogobete", "Roxana", "" ] ]
This paper presents the methodology and data used for the automatic extraction of the Romanian Academic Word List (Ro-AWL). Academic Word Lists are useful in both L2 and L1 teaching contexts. For the Romanian language, no such resource exists so far. Ro-AWL has been generated by combining methods from corpus and comput...
1306.5473
Emilio Ferrara
Michael D. Conover, Clayton Davis, Emilio Ferrara, Karissa McKelvey, Filippo Menczer, Alessandro Flammini
The Geospatial Characteristics of a Social Movement Communication Network
Open access available at: http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0064679
PLoS ONE 8(3):e55957 2013
10.1371/journal.pone.0055957
null
cs.CY cs.SI physics.data-an physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Social movements rely in large measure on networked communication technologies to organize and disseminate information relating to the movements' objectives. In this work we seek to understand how the goals and needs of a protest movement are reflected in the geographic patterns of its communication network, and how ...
[ { "created": "Sun, 23 Jun 2013 21:31:16 GMT", "version": "v1" } ]
2013-06-25
[ [ "Conover", "Michael D.", "" ], [ "Davis", "Clayton", "" ], [ "Ferrara", "Emilio", "" ], [ "McKelvey", "Karissa", "" ], [ "Menczer", "Filippo", "" ], [ "Flammini", "Alessandro", "" ] ]
Social movements rely in large measure on networked communication technologies to organize and disseminate information relating to the movements' objectives. In this work we seek to understand how the goals and needs of a protest movement are reflected in the geographic patterns of its communication network, and how th...
1504.03363
Gabriel Fernando Pivaro
G. F. Pivaro, G. Fraindenraich
Outage Probability for Multi-Hop Full-Duplex Decode and Forward MIMO Relay
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, a multi-hop (MH) decode-and-forward (DF) multiple-input multiple-output (MIMO) relay network has been studied. To consider a more realistic scenario, Full-Duplex (FD) operation with Relay Self-Interference (RSI) is employed. Assuming that the MIMO channels are subject to Rayleigh fading, a simple and...
[ { "created": "Mon, 13 Apr 2015 21:01:15 GMT", "version": "v1" } ]
2015-04-15
[ [ "Pivaro", "G. F.", "" ], [ "Fraindenraich", "G.", "" ] ]
In this paper, a multi-hop (MH) decode-and-forward (DF) multiple-input multiple-output (MIMO) relay network has been studied. To consider a more realistic scenario, Full-Duplex (FD) operation with Relay Self-Interference (RSI) is employed. Assuming that the MIMO channels are subject to Rayleigh fading, a simple and com...
1411.2404
Jelani Nelson
Kasper Green Larsen, Jelani Nelson
The Johnson-Lindenstrauss lemma is optimal for linear dimensionality reduction
null
null
null
null
cs.IT cs.CG cs.DS math.FA math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
For any $n>1$ and $0<\varepsilon<1/2$, we show the existence of an $n^{O(1)}$-point subset $X$ of $\mathbb{R}^n$ such that any linear map from $(X,\ell_2)$ to $\ell_2^m$ with distortion at most $1+\varepsilon$ must have $m = \Omega(\min\{n, \varepsilon^{-2}\log n\})$. Our lower bound matches the upper bounds provided...
[ { "created": "Mon, 10 Nov 2014 12:53:41 GMT", "version": "v1" } ]
2014-11-11
[ [ "Larsen", "Kasper Green", "" ], [ "Nelson", "Jelani", "" ] ]
For any $n>1$ and $0<\varepsilon<1/2$, we show the existence of an $n^{O(1)}$-point subset $X$ of $\mathbb{R}^n$ such that any linear map from $(X,\ell_2)$ to $\ell_2^m$ with distortion at most $1+\varepsilon$ must have $m = \Omega(\min\{n, \varepsilon^{-2}\log n\})$. Our lower bound matches the upper bounds provided b...
2404.01196
Sondre Wold
Sondre Wold, Petter M{\ae}hlum, Oddbj{\o}rn Hove
Estimating Lexical Complexity from Document-Level Distributions
LREC-COLING 2024
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Existing methods for complexity estimation are typically developed for entire documents. This limitation in scope makes them inapplicable for shorter pieces of text, such as health assessment tools. These typically consist of lists of independent sentences, all of which are too short for existing methods to apply. Th...
[ { "created": "Mon, 1 Apr 2024 15:55:18 GMT", "version": "v1" } ]
2024-04-02
[ [ "Wold", "Sondre", "" ], [ "Mæhlum", "Petter", "" ], [ "Hove", "Oddbjørn", "" ] ]
Existing methods for complexity estimation are typically developed for entire documents. This limitation in scope makes them inapplicable for shorter pieces of text, such as health assessment tools. These typically consist of lists of independent sentences, all of which are too short for existing methods to apply. The ...
cs/0605062
Al-Mukaddim Khan Pathan
Al-Mukaddim Khan Pathan and Md. Golam Shagadul Amin Talukder
QoSIP: A QoS Aware IP Routing Ptotocol for Multimedia Data
8th International Conference of Advanced Communication Technology (ICACT 2006)
null
null
null
cs.NI
null
Conventional IP routing protocols are not suitable for multimedia applications which have very stringent Quality-of-Service (QoS) demands and they require a connection oriented service. For multimedia applications it is expected that the router should be able to forward the packet according to the demand of the packe...
[ { "created": "Mon, 15 May 2006 10:39:40 GMT", "version": "v1" } ]
2007-05-23
[ [ "Pathan", "Al-Mukaddim Khan", "" ], [ "Talukder", "Md. Golam Shagadul Amin", "" ] ]
Conventional IP routing protocols are not suitable for multimedia applications which have very stringent Quality-of-Service (QoS) demands and they require a connection oriented service. For multimedia applications it is expected that the router should be able to forward the packet according to the demand of the packet ...
1502.02519
Fabrizio Montesi
Fabrizio Montesi
Kickstarting Choreographic Programming
null
null
null
null
cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present an overview of some recent efforts aimed at the development of Choreographic Programming, a programming paradigm for the production of concurrent software that is guaranteed to be correct by construction from global descriptions of communication behaviour.
[ { "created": "Mon, 9 Feb 2015 15:20:03 GMT", "version": "v1" }, { "created": "Tue, 10 Feb 2015 12:03:10 GMT", "version": "v2" } ]
2015-02-11
[ [ "Montesi", "Fabrizio", "" ] ]
We present an overview of some recent efforts aimed at the development of Choreographic Programming, a programming paradigm for the production of concurrent software that is guaranteed to be correct by construction from global descriptions of communication behaviour.
2203.06766
Van Bang Le
Sun-Yuan Hsieh, Hoang-Oanh Le, Van Bang Le, Sheng-Lung Peng
On the $d$-Claw Vertex Deletion Problem
null
null
null
null
cs.DM cs.DS
http://creativecommons.org/licenses/by/4.0/
Let $d$-claw (or $d$-star) stand for $K_{1,d}$, the complete bipartite graph with 1 and $d\ge 1$ vertices on each part. The $d$-claw vertex deletion problem, $d$-CLAW-VD, asks for a given graph $G$ and an integer $k$ if one can delete at most $k$ vertices from $G$ such that the resulting graph has no $d$-claw as an i...
[ { "created": "Sun, 13 Mar 2022 21:36:48 GMT", "version": "v1" } ]
2022-03-15
[ [ "Hsieh", "Sun-Yuan", "" ], [ "Le", "Hoang-Oanh", "" ], [ "Le", "Van Bang", "" ], [ "Peng", "Sheng-Lung", "" ] ]
Let $d$-claw (or $d$-star) stand for $K_{1,d}$, the complete bipartite graph with 1 and $d\ge 1$ vertices on each part. The $d$-claw vertex deletion problem, $d$-CLAW-VD, asks for a given graph $G$ and an integer $k$ if one can delete at most $k$ vertices from $G$ such that the resulting graph has no $d$-claw as an ind...
2304.11241
Pierre Marza
Pierre Marza, Laetitia Matignon, Olivier Simonin, Dhruv Batra, Christian Wolf, Devendra Singh Chaplot
AutoNeRF: Training Implicit Scene Representations with Autonomous Agents
null
null
null
null
cs.CV cs.LG cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Implicit representations such as Neural Radiance Fields (NeRF) have been shown to be very effective at novel view synthesis. However, these models typically require manual and careful human data collection for training. In this paper, we present AutoNeRF, a method to collect data required to train NeRFs using autonom...
[ { "created": "Fri, 21 Apr 2023 20:22:17 GMT", "version": "v1" }, { "created": "Fri, 22 Dec 2023 13:55:53 GMT", "version": "v2" } ]
2023-12-25
[ [ "Marza", "Pierre", "" ], [ "Matignon", "Laetitia", "" ], [ "Simonin", "Olivier", "" ], [ "Batra", "Dhruv", "" ], [ "Wolf", "Christian", "" ], [ "Chaplot", "Devendra Singh", "" ] ]
Implicit representations such as Neural Radiance Fields (NeRF) have been shown to be very effective at novel view synthesis. However, these models typically require manual and careful human data collection for training. In this paper, we present AutoNeRF, a method to collect data required to train NeRFs using autonomou...
1302.6641
John Iacono
John Iacono
Why some heaps support constant-amortized-time decrease-key operations, and others do not
null
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A lower bound is presented which shows that a class of heap algorithms in the pointer model with only heap pointers must spend Omega(log log n / log log log n) amortized time on the decrease-key operation (given O(log n) amortized-time extract-min). Intuitively, this bound shows the key to having O(1)-time decrease-k...
[ { "created": "Wed, 27 Feb 2013 01:52:21 GMT", "version": "v1" }, { "created": "Wed, 3 Apr 2013 22:12:24 GMT", "version": "v2" }, { "created": "Tue, 16 Jul 2013 18:50:20 GMT", "version": "v3" } ]
2013-07-17
[ [ "Iacono", "John", "" ] ]
A lower bound is presented which shows that a class of heap algorithms in the pointer model with only heap pointers must spend Omega(log log n / log log log n) amortized time on the decrease-key operation (given O(log n) amortized-time extract-min). Intuitively, this bound shows the key to having O(1)-time decrease-key...
2011.03667
Yunhao Yang
Yunhao Yang, Andrew Whinston
Identifying Mislabeled Images in Supervised Learning Utilizing Autoencoder
UTCS Tech Report: Honors Thesis. 12 pages, 11 figures
Lecture Notes in Networks and Systems vol 359 (2021) 266-282
10.1007/978-3-030-89880-9_21
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Supervised learning is based on the assumption that the ground truth in the training data is accurate. However, this may not be guaranteed in real-world settings. Inaccurate training data will result in some unexpected predictions. In image classification, incorrect labels may cause the classification model to be ina...
[ { "created": "Sat, 7 Nov 2020 03:09:34 GMT", "version": "v1" }, { "created": "Mon, 18 Jan 2021 22:59:44 GMT", "version": "v2" } ]
2022-01-06
[ [ "Yang", "Yunhao", "" ], [ "Whinston", "Andrew", "" ] ]
Supervised learning is based on the assumption that the ground truth in the training data is accurate. However, this may not be guaranteed in real-world settings. Inaccurate training data will result in some unexpected predictions. In image classification, incorrect labels may cause the classification model to be inacc...
1503.05187
Khaled Fawagreh
Khaled Fawagreh, Mohamad Medhat Gaber, Eyad Elyan
An Outlier Detection-based Tree Selection Approach to Extreme Pruning of Random Forests
21 pages, 4 Figures. arXiv admin note: substantial text overlap with arXiv:1503.04996
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Random Forest (RF) is an ensemble classification technique that was developed by Breiman over a decade ago. Compared with other ensemble techniques, it has proved its accuracy and superiority. Many researchers, however, believe that there is still room for enhancing and improving its performance in terms of predictiv...
[ { "created": "Tue, 17 Mar 2015 11:05:31 GMT", "version": "v1" } ]
2015-03-19
[ [ "Fawagreh", "Khaled", "" ], [ "Gaber", "Mohamad Medhat", "" ], [ "Elyan", "Eyad", "" ] ]
Random Forest (RF) is an ensemble classification technique that was developed by Breiman over a decade ago. Compared with other ensemble techniques, it has proved its accuracy and superiority. Many researchers, however, believe that there is still room for enhancing and improving its performance in terms of predictive ...
1205.6423
Plawan Kumar Rath
Plawan Kumar Rath, G. N. Anil
Proposed Challenges And Areas of Concern in Operating System Research and Development
5 pages; International Journal for Computer Science Issues(IJCSI), Volume 9, Issue 2, March 2012
null
null
null
cs.OS
http://creativecommons.org/licenses/publicdomain/
Computers are a very important part of our lives and the major reason why they have been such a success is because of the excellent graphical operating systems that run on these powerful machines. As the computer hardware is becoming more and more powerful, it is also vital to keep the software updated in order to ut...
[ { "created": "Tue, 29 May 2012 17:10:29 GMT", "version": "v1" } ]
2012-05-30
[ [ "Rath", "Plawan Kumar", "" ], [ "Anil", "G. N.", "" ] ]
Computers are a very important part of our lives and the major reason why they have been such a success is because of the excellent graphical operating systems that run on these powerful machines. As the computer hardware is becoming more and more powerful, it is also vital to keep the software updated in order to util...
2104.14579
Matteo Zecchin
Matteo Zecchin, Mahdi Boloursaz Mashhadi, Mikolaj Jankowski, Deniz Gunduz, Marios Kountouris, David Gesbert
LIDAR and Position-Aided mmWave Beam Selection with Non-local CNNs and Curriculum Training
Submitted for publication
null
null
null
cs.IT cs.LG eess.SP math.IT
http://creativecommons.org/licenses/by-nc-nd/4.0/
Efficient millimeter wave (mmWave) beam selection in vehicle-to-infrastructure (V2I) communication is a crucial yet challenging task due to the narrow mmWave beamwidth and high user mobility. To reduce the search overhead of iterative beam discovery procedures, contextual information from light detection and ranging ...
[ { "created": "Thu, 29 Apr 2021 18:07:31 GMT", "version": "v1" }, { "created": "Mon, 3 May 2021 12:02:06 GMT", "version": "v2" }, { "created": "Wed, 17 Nov 2021 10:16:51 GMT", "version": "v3" } ]
2021-11-18
[ [ "Zecchin", "Matteo", "" ], [ "Mashhadi", "Mahdi Boloursaz", "" ], [ "Jankowski", "Mikolaj", "" ], [ "Gunduz", "Deniz", "" ], [ "Kountouris", "Marios", "" ], [ "Gesbert", "David", "" ] ]
Efficient millimeter wave (mmWave) beam selection in vehicle-to-infrastructure (V2I) communication is a crucial yet challenging task due to the narrow mmWave beamwidth and high user mobility. To reduce the search overhead of iterative beam discovery procedures, contextual information from light detection and ranging (L...
2212.01005
Zhiying Xu
Zhiying Xu, Hongding Peng, Wei Wang
AGO: Boosting Mobile AI Inference Performance by Removing Constraints on Graph Optimization
null
null
null
null
cs.LG cs.CL cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Traditional deep learning compilers rely on heuristics for subgraph generation, which impose extra constraints on graph optimization, e.g., each subgraph can only contain at most one complex operator. In this paper, we propose AGO, a framework for graph optimization with arbitrary structures to boost the inference pe...
[ { "created": "Fri, 2 Dec 2022 07:16:49 GMT", "version": "v1" } ]
2022-12-05
[ [ "Xu", "Zhiying", "" ], [ "Peng", "Hongding", "" ], [ "Wang", "Wei", "" ] ]
Traditional deep learning compilers rely on heuristics for subgraph generation, which impose extra constraints on graph optimization, e.g., each subgraph can only contain at most one complex operator. In this paper, we propose AGO, a framework for graph optimization with arbitrary structures to boost the inference perf...
2405.01159
Aleksei Dorkin
Aleksei Dorkin and Kairit Sirts
TartuNLP at EvaLatin 2024: Emotion Polarity Detection
Accepted to The Third Workshop on Language Technologies for Historical and Ancient Languages (LT4HALA 2024)
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
This paper presents the TartuNLP team submission to EvaLatin 2024 shared task of the emotion polarity detection for historical Latin texts. Our system relies on two distinct approaches to annotating training data for supervised learning: 1) creating heuristics-based labels by adopting the polarity lexicon provided by...
[ { "created": "Thu, 2 May 2024 10:28:52 GMT", "version": "v1" } ]
2024-05-03
[ [ "Dorkin", "Aleksei", "" ], [ "Sirts", "Kairit", "" ] ]
This paper presents the TartuNLP team submission to EvaLatin 2024 shared task of the emotion polarity detection for historical Latin texts. Our system relies on two distinct approaches to annotating training data for supervised learning: 1) creating heuristics-based labels by adopting the polarity lexicon provided by t...
1804.04438
Ari Morcos
Avraham Ruderman, Neil C. Rabinowitz, Ari S. Morcos, Daniel Zoran
Pooling is neither necessary nor sufficient for appropriate deformation stability in CNNs
NIPS 2018 submission
null
null
null
cs.CV cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Many of our core assumptions about how neural networks operate remain empirically untested. One common assumption is that convolutional neural networks need to be stable to small translations and deformations to solve image recognition tasks. For many years, this stability was baked into CNN architectures by incorpor...
[ { "created": "Thu, 12 Apr 2018 11:44:05 GMT", "version": "v1" }, { "created": "Fri, 25 May 2018 13:03:50 GMT", "version": "v2" } ]
2018-05-28
[ [ "Ruderman", "Avraham", "" ], [ "Rabinowitz", "Neil C.", "" ], [ "Morcos", "Ari S.", "" ], [ "Zoran", "Daniel", "" ] ]
Many of our core assumptions about how neural networks operate remain empirically untested. One common assumption is that convolutional neural networks need to be stable to small translations and deformations to solve image recognition tasks. For many years, this stability was baked into CNN architectures by incorporat...
1407.3193
Awais Mansoor
Awais Mansoor, Ulas Bagci, Daniel J. Mollura
Optimally Stabilized PET Image Denoising Using Trilateral Filtering
8 pages, 3 figures; to appear in the Lecture Notes in Computer Science (MICCAI 2014)
null
null
null
cs.CV
http://creativecommons.org/licenses/publicdomain/
Low-resolution and signal-dependent noise distribution in positron emission tomography (PET) images makes denoising process an inevitable step prior to qualitative and quantitative image analysis tasks. Conventional PET denoising methods either over-smooth small-sized structures due to resolution limitation or make i...
[ { "created": "Fri, 11 Jul 2014 15:08:18 GMT", "version": "v1" } ]
2014-07-14
[ [ "Mansoor", "Awais", "" ], [ "Bagci", "Ulas", "" ], [ "Mollura", "Daniel J.", "" ] ]
Low-resolution and signal-dependent noise distribution in positron emission tomography (PET) images makes denoising process an inevitable step prior to qualitative and quantitative image analysis tasks. Conventional PET denoising methods either over-smooth small-sized structures due to resolution limitation or make inc...
2306.10300
Subhashis Das
Subhashis Das, Debashis Naskar and Sayon Roy
Reorganizing Educational Institutional Domain using Faceted Ontological Principles
26 pages, 12 figures, KNOWLEDGE ORGANIZATION Journal Paper
KO KNOWLEDGE ORGANIZATION, 49(1), 6-21 (2022)
10.5771/0943-7444-2022-1
null
cs.AI cs.DL
http://creativecommons.org/licenses/by/4.0/
The purpose of this work is to find out how different library classification systems and linguistic ontologies arrange a particular domain of interest and what are the limitations for information retrieval. We use knowledge representation techniques and languages for construction of a domain specific ontology. This o...
[ { "created": "Sat, 17 Jun 2023 09:06:07 GMT", "version": "v1" } ]
2023-06-21
[ [ "Das", "Subhashis", "" ], [ "Naskar", "Debashis", "" ], [ "Roy", "Sayon", "" ] ]
The purpose of this work is to find out how different library classification systems and linguistic ontologies arrange a particular domain of interest and what are the limitations for information retrieval. We use knowledge representation techniques and languages for construction of a domain specific ontology. This ont...
0901.3950
Moshe Mishali
Moshe Mishali, Yonina C. Eldar and Joel A. Tropp
Efficient Sampling of Sparse Wideband Analog Signals
13 pages, 5 figs, conference paper (see ref. below)
Proc. of IEEEI, 25th convention, pp. 290-294, Dec. 2008
null
CCIT Report #705, Oct. 2008, EE Dept., Technion Israel
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Periodic nonuniform sampling is a known method to sample spectrally sparse signals below the Nyquist rate. This strategy relies on the implicit assumption that the individual samplers are exposed to the entire frequency range. This assumption becomes impractical for wideband sparse signals. The current paper proposes...
[ { "created": "Mon, 26 Jan 2009 07:00:52 GMT", "version": "v1" } ]
2009-01-27
[ [ "Mishali", "Moshe", "" ], [ "Eldar", "Yonina C.", "" ], [ "Tropp", "Joel A.", "" ] ]
Periodic nonuniform sampling is a known method to sample spectrally sparse signals below the Nyquist rate. This strategy relies on the implicit assumption that the individual samplers are exposed to the entire frequency range. This assumption becomes impractical for wideband sparse signals. The current paper proposes a...
2109.07923
Peisen Yao
Peisen Yao and Jinguo Zhou and Xiao Xiao and Qingkai Shi and Rongxin Wu and Charles Zhang
Efficient Path-Sensitive Data-Dependence Analysis
null
null
null
null
cs.PL cs.SE
http://creativecommons.org/licenses/by/4.0/
This paper presents a scalable path- and context-sensitive data-dependence analysis. The key is to address the aliasing-path-explosion problem via a sparse, demand-driven, and fused approach that piggybacks the computation of pointer information with the resolution of data dependence. Specifically, our approach decom...
[ { "created": "Thu, 16 Sep 2021 12:17:05 GMT", "version": "v1" } ]
2021-09-20
[ [ "Yao", "Peisen", "" ], [ "Zhou", "Jinguo", "" ], [ "Xiao", "Xiao", "" ], [ "Shi", "Qingkai", "" ], [ "Wu", "Rongxin", "" ], [ "Zhang", "Charles", "" ] ]
This paper presents a scalable path- and context-sensitive data-dependence analysis. The key is to address the aliasing-path-explosion problem via a sparse, demand-driven, and fused approach that piggybacks the computation of pointer information with the resolution of data dependence. Specifically, our approach decompo...
2110.14271
Sigal Oren
Sigal Oren and Oren Roth
Mechanisms for Trading Durable Goods
WINE'21
null
null
null
cs.GT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider trading indivisible and easily transferable \emph{durable goods}, which are goods that an agent can receive, use, and trade again for a different good. This is often the case with books that can be read and later exchanged for unread ones. Other examples of such easily transferable durable goods include p...
[ { "created": "Wed, 27 Oct 2021 08:51:23 GMT", "version": "v1" } ]
2021-10-28
[ [ "Oren", "Sigal", "" ], [ "Roth", "Oren", "" ] ]
We consider trading indivisible and easily transferable \emph{durable goods}, which are goods that an agent can receive, use, and trade again for a different good. This is often the case with books that can be read and later exchanged for unread ones. Other examples of such easily transferable durable goods include puz...
2208.09815
Pengqian Yu
Xinhan Di, Pengqian Yu
LWA-HAND: Lightweight Attention Hand for Interacting Hand Reconstruction
Accepted by ECCV 2022 Computer Vision for Metaverse Workshop (16 pages, 6 figures, 1 table)
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent years have witnessed great success for hand reconstruction in real-time applications such as visual reality and augmented reality while interacting with two-hand reconstruction through efficient transformers is left unexplored. In this paper, we propose a method called lightweight attention hand (LWA-HAND) to ...
[ { "created": "Sun, 21 Aug 2022 06:25:56 GMT", "version": "v1" }, { "created": "Tue, 23 Aug 2022 03:54:47 GMT", "version": "v2" }, { "created": "Sat, 27 Aug 2022 13:06:34 GMT", "version": "v3" } ]
2022-08-30
[ [ "Di", "Xinhan", "" ], [ "Yu", "Pengqian", "" ] ]
Recent years have witnessed great success for hand reconstruction in real-time applications such as visual reality and augmented reality while interacting with two-hand reconstruction through efficient transformers is left unexplored. In this paper, we propose a method called lightweight attention hand (LWA-HAND) to re...
2101.10620
Liang Lin
Liang Lin and Yiming Gao and Ke Gong and Meng Wang and Xiaodan Liang
Graphonomy: Universal Image Parsing via Graph Reasoning and Transfer
To appear in IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (T-PAMI) 2021. We propose a graph reasoning and transfer learning framework, which incorporates human knowledge and label taxonomy into the intermediate graph representation learning beyond local convolutions. arXiv admin note: substant...
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Prior highly-tuned image parsing models are usually studied in a certain domain with a specific set of semantic labels and can hardly be adapted into other scenarios (e.g., sharing discrepant label granularity) without extensive re-training. Learning a single universal parsing model by unifying label annotations from...
[ { "created": "Tue, 26 Jan 2021 08:19:03 GMT", "version": "v1" } ]
2021-01-27
[ [ "Lin", "Liang", "" ], [ "Gao", "Yiming", "" ], [ "Gong", "Ke", "" ], [ "Wang", "Meng", "" ], [ "Liang", "Xiaodan", "" ] ]
Prior highly-tuned image parsing models are usually studied in a certain domain with a specific set of semantic labels and can hardly be adapted into other scenarios (e.g., sharing discrepant label granularity) without extensive re-training. Learning a single universal parsing model by unifying label annotations from d...
0909.2622
Jiangyuan Li
Jiangyuan Li and Athina Petropulu
Transmitter Optimization for Achieving Secrecy Capacity in Gaussian MIMO Wiretap Channels
29 pages, 10 figures
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider a Gaussian multiple-input multiple-output (MIMO) wiretap channel model, where there exists a transmitter, a legitimate receiver and an eavesdropper, each node equipped with multiple antennas. We study the problem of finding the optimal input covariance matrix that achieves secrecy capacity subject to a po...
[ { "created": "Mon, 14 Sep 2009 19:07:49 GMT", "version": "v1" } ]
2009-09-15
[ [ "Li", "Jiangyuan", "" ], [ "Petropulu", "Athina", "" ] ]
We consider a Gaussian multiple-input multiple-output (MIMO) wiretap channel model, where there exists a transmitter, a legitimate receiver and an eavesdropper, each node equipped with multiple antennas. We study the problem of finding the optimal input covariance matrix that achieves secrecy capacity subject to a powe...
2402.06331
Joanna Komorniczak
Joanna Komorniczak and Pawel Ksieniewicz
Taking Class Imbalance Into Account in Open Set Recognition Evaluation
null
null
null
null
cs.LG cs.CV
http://creativecommons.org/licenses/by-nc-sa/4.0/
In recent years Deep Neural Network-based systems are not only increasing in popularity but also receive growing user trust. However, due to the closed-world assumption of such systems, they cannot recognize samples from unknown classes and often induce an incorrect label with high confidence. Presented work looks at...
[ { "created": "Fri, 9 Feb 2024 11:15:49 GMT", "version": "v1" } ]
2024-02-12
[ [ "Komorniczak", "Joanna", "" ], [ "Ksieniewicz", "Pawel", "" ] ]
In recent years Deep Neural Network-based systems are not only increasing in popularity but also receive growing user trust. However, due to the closed-world assumption of such systems, they cannot recognize samples from unknown classes and often induce an incorrect label with high confidence. Presented work looks at t...
2403.04384
Tomasz Winiarski
Tomasz Winiarski, Daniel Gie{\l}dowski, Jan Kaniuka, Jakub Ostrysz, Jakub Sadowski
HeROS: a miniaturised platform for research and development on Heterogeneous RObotic Systems
null
null
null
null
cs.RO
http://creativecommons.org/licenses/by/4.0/
Tests and prototyping are vital in the research and development of robotic systems. Work with target hardware is problematic. Hence, in the article, a low-cost, miniaturised physical platform is presented to deal with experiments on heterogeneous robotic systems. The platform comprises a physical board with tiles of ...
[ { "created": "Thu, 7 Mar 2024 10:23:39 GMT", "version": "v1" } ]
2024-03-08
[ [ "Winiarski", "Tomasz", "" ], [ "Giełdowski", "Daniel", "" ], [ "Kaniuka", "Jan", "" ], [ "Ostrysz", "Jakub", "" ], [ "Sadowski", "Jakub", "" ] ]
Tests and prototyping are vital in the research and development of robotic systems. Work with target hardware is problematic. Hence, in the article, a low-cost, miniaturised physical platform is presented to deal with experiments on heterogeneous robotic systems. The platform comprises a physical board with tiles of th...
2403.04712
Harry Zhang Mr.
Sangli Teng, Harry Zhang, David Jin, Ashkan Jasour, Maani Ghaffari, Luca Carlone
GMKF: Generalized Moment Kalman Filter for Polynomial Systems with Arbitrary Noise
null
null
null
null
cs.RO cs.SY eess.SY
http://creativecommons.org/licenses/by/4.0/
This paper develops a new filtering approach for state estimation in polynomial systems corrupted by arbitrary noise, which commonly arise in robotics. We first consider a batch setup where we perform state estimation using all data collected from the initial to the current time. We formulate the batch state estimati...
[ { "created": "Thu, 7 Mar 2024 18:07:41 GMT", "version": "v1" }, { "created": "Fri, 8 Mar 2024 05:08:07 GMT", "version": "v2" } ]
2024-03-11
[ [ "Teng", "Sangli", "" ], [ "Zhang", "Harry", "" ], [ "Jin", "David", "" ], [ "Jasour", "Ashkan", "" ], [ "Ghaffari", "Maani", "" ], [ "Carlone", "Luca", "" ] ]
This paper develops a new filtering approach for state estimation in polynomial systems corrupted by arbitrary noise, which commonly arise in robotics. We first consider a batch setup where we perform state estimation using all data collected from the initial to the current time. We formulate the batch state estimation...
2008.03325
Nathaniel Grammel
Brian Brubach, Nathaniel Grammel, David G. Harris, Aravind Srinivasan, Leonidas Tsepenekas, Anil Vullikanti
Stochastic Optimization and Learning for Two-Stage Supplier Problems
null
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The main focus of this paper is radius-based (supplier) clustering in the two-stage stochastic setting with recourse, where the inherent stochasticity of the model comes in the form of a budget constraint. In addition to the standard (homogeneous) setting where all clients must be within a distance $R$ of the nearest...
[ { "created": "Fri, 7 Aug 2020 18:18:29 GMT", "version": "v1" }, { "created": "Tue, 16 Feb 2021 16:50:30 GMT", "version": "v2" }, { "created": "Thu, 6 May 2021 15:10:17 GMT", "version": "v3" }, { "created": "Sun, 5 Jun 2022 23:35:10 GMT", "version": "v4" }, { "crea...
2024-04-09
[ [ "Brubach", "Brian", "" ], [ "Grammel", "Nathaniel", "" ], [ "Harris", "David G.", "" ], [ "Srinivasan", "Aravind", "" ], [ "Tsepenekas", "Leonidas", "" ], [ "Vullikanti", "Anil", "" ] ]
The main focus of this paper is radius-based (supplier) clustering in the two-stage stochastic setting with recourse, where the inherent stochasticity of the model comes in the form of a budget constraint. In addition to the standard (homogeneous) setting where all clients must be within a distance $R$ of the nearest f...