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1408.1237
Balaji Vasan Srinivasan
Balaji Vasan Srinivasan, Qi Hu, Nail A. Gumerov, Raghu Murtugudde, Ramani Duraiswami
Preconditioned Krylov solvers for kernel regression
null
null
null
null
cs.NA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A primary computational problem in kernel regression is solution of a dense linear system with the $N\times N$ kernel matrix. Because a direct solution has an O($N^3$) cost, iterative Krylov methods are often used with fast matrix-vector products. For poorly conditioned problems, convergence of the iteration is slow ...
[ { "created": "Wed, 6 Aug 2014 10:39:59 GMT", "version": "v1" } ]
2014-08-07
[ [ "Srinivasan", "Balaji Vasan", "" ], [ "Hu", "Qi", "" ], [ "Gumerov", "Nail A.", "" ], [ "Murtugudde", "Raghu", "" ], [ "Duraiswami", "Ramani", "" ] ]
A primary computational problem in kernel regression is solution of a dense linear system with the $N\times N$ kernel matrix. Because a direct solution has an O($N^3$) cost, iterative Krylov methods are often used with fast matrix-vector products. For poorly conditioned problems, convergence of the iteration is slow an...
1802.09001
Batya Kenig
Batya Kenig
The Complexity of the Possible Winner Problem over Partitioned Preferences
null
null
null
null
cs.GT cs.CC cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The Possible-Winner problem asks, given an election where the voters' preferences over the set of candidates is partially specified, whether a distinguished candidate can become a winner. In this work, we consider the computational complexity of Possible-Winner under the assumption that the voter preferences are $par...
[ { "created": "Sun, 25 Feb 2018 13:21:40 GMT", "version": "v1" } ]
2018-02-27
[ [ "Kenig", "Batya", "" ] ]
The Possible-Winner problem asks, given an election where the voters' preferences over the set of candidates is partially specified, whether a distinguished candidate can become a winner. In this work, we consider the computational complexity of Possible-Winner under the assumption that the voter preferences are $parti...
2202.09836
Alexander Steen
Alexander Steen, David Fuenmayor, Tobias Glei{\ss}ner, Geoff Sutcliffe, Christoph Benzm\"uller
Automated Reasoning in Non-classical Logics in the TPTP World
21 pages
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Non-classical logics are used in a wide spectrum of disciplines, including artificial intelligence, computer science, mathematics, and philosophy. The de-facto standard infrastructure for automated theorem proving, the TPTP World, currently supports only classical logics. Similar standards for non-classical logic rea...
[ { "created": "Sun, 20 Feb 2022 15:29:30 GMT", "version": "v1" } ]
2022-02-22
[ [ "Steen", "Alexander", "" ], [ "Fuenmayor", "David", "" ], [ "Gleißner", "Tobias", "" ], [ "Sutcliffe", "Geoff", "" ], [ "Benzmüller", "Christoph", "" ] ]
Non-classical logics are used in a wide spectrum of disciplines, including artificial intelligence, computer science, mathematics, and philosophy. The de-facto standard infrastructure for automated theorem proving, the TPTP World, currently supports only classical logics. Similar standards for non-classical logic reaso...
1606.07143
Justin Hsu
Gilles Barthe, No\'emie Fong, Marco Gaboardi, Benjamin Gr\'egoire, Justin Hsu, Pierre-Yves Strub
Advanced Probabilistic Couplings for Differential Privacy
null
null
10.1145/2976749.2978391
null
cs.LO cs.DS cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Differential privacy is a promising formal approach to data privacy, which provides a quantitative bound on the privacy cost of an algorithm that operates on sensitive information. Several tools have been developed for the formal verification of differentially private algorithms, including program logics and type sys...
[ { "created": "Thu, 23 Jun 2016 00:11:57 GMT", "version": "v1" }, { "created": "Wed, 17 Aug 2016 16:22:57 GMT", "version": "v2" } ]
2018-03-16
[ [ "Barthe", "Gilles", "" ], [ "Fong", "Noémie", "" ], [ "Gaboardi", "Marco", "" ], [ "Grégoire", "Benjamin", "" ], [ "Hsu", "Justin", "" ], [ "Strub", "Pierre-Yves", "" ] ]
Differential privacy is a promising formal approach to data privacy, which provides a quantitative bound on the privacy cost of an algorithm that operates on sensitive information. Several tools have been developed for the formal verification of differentially private algorithms, including program logics and type syste...
2303.04554
Leonardo Scabini
Leonardo Scabini, Kallil M. Zielinski, Lucas C. Ribas, Wesley N. Gon\c{c}alves, Bernard De Baets, Odemir M. Bruno
RADAM: Texture Recognition through Randomized Aggregated Encoding of Deep Activation Maps
17 pages, 3 figures, submitted to peer-review journal
null
null
null
cs.CV cs.NE
http://creativecommons.org/licenses/by-nc-nd/4.0/
Texture analysis is a classical yet challenging task in computer vision for which deep neural networks are actively being applied. Most approaches are based on building feature aggregation modules around a pre-trained backbone and then fine-tuning the new architecture on specific texture recognition tasks. Here we pr...
[ { "created": "Wed, 8 Mar 2023 13:09:03 GMT", "version": "v1" } ]
2023-03-09
[ [ "Scabini", "Leonardo", "" ], [ "Zielinski", "Kallil M.", "" ], [ "Ribas", "Lucas C.", "" ], [ "Gonçalves", "Wesley N.", "" ], [ "De Baets", "Bernard", "" ], [ "Bruno", "Odemir M.", "" ] ]
Texture analysis is a classical yet challenging task in computer vision for which deep neural networks are actively being applied. Most approaches are based on building feature aggregation modules around a pre-trained backbone and then fine-tuning the new architecture on specific texture recognition tasks. Here we prop...
1401.6482
Aria Ghasemian Sahebi
Aria G. Sahebi and S. Sandeep Pradhan
Nested Polar Codes Achieve the Shannon Rate-Distortion Function and the Shannon Capacity
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
It is shown that nested polar codes achieve the Shannon rate-distortion function for arbitrary (binary or non-binary) discrete memoryless sources and the Shannon capacity of arbitrary discrete memoryless channels.
[ { "created": "Sat, 25 Jan 2014 01:26:53 GMT", "version": "v1" } ]
2014-01-28
[ [ "Sahebi", "Aria G.", "" ], [ "Pradhan", "S. Sandeep", "" ] ]
It is shown that nested polar codes achieve the Shannon rate-distortion function for arbitrary (binary or non-binary) discrete memoryless sources and the Shannon capacity of arbitrary discrete memoryless channels.
2103.02696
Weilin Cong
Weilin Cong, Morteza Ramezani, Mehrdad Mahdavi
On the Importance of Sampling in Training GCNs: Tighter Analysis and Variance Reduction
null
null
null
null
cs.LG cs.AI cs.CV
http://creativecommons.org/licenses/by/4.0/
Graph Convolutional Networks (GCNs) have achieved impressive empirical advancement across a wide variety of semi-supervised node classification tasks. Despite their great success, training GCNs on large graphs suffers from computational and memory issues. A potential path to circumvent these obstacles is sampling-bas...
[ { "created": "Wed, 3 Mar 2021 21:31:23 GMT", "version": "v1" }, { "created": "Mon, 1 Nov 2021 17:26:18 GMT", "version": "v2" } ]
2021-11-02
[ [ "Cong", "Weilin", "" ], [ "Ramezani", "Morteza", "" ], [ "Mahdavi", "Mehrdad", "" ] ]
Graph Convolutional Networks (GCNs) have achieved impressive empirical advancement across a wide variety of semi-supervised node classification tasks. Despite their great success, training GCNs on large graphs suffers from computational and memory issues. A potential path to circumvent these obstacles is sampling-based...
2010.12546
Erdem Koyuncu
Erdem Koyuncu
Quantizing Multiple Sources to a Common Cluster Center: An Asymptotic Analysis
null
null
null
null
cs.LG cs.IT math.IT stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider quantizing an $Ld$-dimensional sample, which is obtained by concatenating $L$ vectors from datasets of $d$-dimensional vectors, to a $d$-dimensional cluster center. The distortion measure is the weighted sum of $r$th powers of the distances between the cluster center and the samples. For $L=1$, one recove...
[ { "created": "Fri, 23 Oct 2020 17:14:28 GMT", "version": "v1" } ]
2020-10-26
[ [ "Koyuncu", "Erdem", "" ] ]
We consider quantizing an $Ld$-dimensional sample, which is obtained by concatenating $L$ vectors from datasets of $d$-dimensional vectors, to a $d$-dimensional cluster center. The distortion measure is the weighted sum of $r$th powers of the distances between the cluster center and the samples. For $L=1$, one recovers...
2407.11364
Chen Wang
Vladimir Braverman, Prathamesh Dharangutte, Vihan Shah, Chen Wang
Learning-augmented Maximum Independent Set
APPROX 2024
null
null
null
cs.DS cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the Maximum Independent Set (MIS) problem on general graphs within the framework of learning-augmented algorithms. The MIS problem is known to be NP-hard and is also NP-hard to approximate to within a factor of $n^{1-\delta}$ for any $\delta>0$. We show that we can break this barrier in the presence of an or...
[ { "created": "Tue, 16 Jul 2024 04:05:40 GMT", "version": "v1" } ]
2024-07-17
[ [ "Braverman", "Vladimir", "" ], [ "Dharangutte", "Prathamesh", "" ], [ "Shah", "Vihan", "" ], [ "Wang", "Chen", "" ] ]
We study the Maximum Independent Set (MIS) problem on general graphs within the framework of learning-augmented algorithms. The MIS problem is known to be NP-hard and is also NP-hard to approximate to within a factor of $n^{1-\delta}$ for any $\delta>0$. We show that we can break this barrier in the presence of an orac...
2301.05575
Jo\~ao Mendes Lopes
Carolina Gon\c{c}alves, Jo\~ao M. Lopes, Sara Moccia, Daniele Berardini, Lucia Migliorelli, and Cristina P. Santos
Deep learning-based approaches for human motion decoding in smart walkers for rehabilitation
null
null
null
null
cs.CV cs.AI
http://creativecommons.org/licenses/by-nc-nd/4.0/
Gait disabilities are among the most frequent worldwide. Their treatment relies on rehabilitation therapies, in which smart walkers are being introduced to empower the user's recovery and autonomy, while reducing the clinicians effort. For that, these should be able to decode human motion and needs, as early as possi...
[ { "created": "Fri, 13 Jan 2023 14:29:44 GMT", "version": "v1" } ]
2023-05-22
[ [ "Gonçalves", "Carolina", "" ], [ "Lopes", "João M.", "" ], [ "Moccia", "Sara", "" ], [ "Berardini", "Daniele", "" ], [ "Migliorelli", "Lucia", "" ], [ "Santos", "Cristina P.", "" ] ]
Gait disabilities are among the most frequent worldwide. Their treatment relies on rehabilitation therapies, in which smart walkers are being introduced to empower the user's recovery and autonomy, while reducing the clinicians effort. For that, these should be able to decode human motion and needs, as early as possibl...
1904.10674
Nicolas Audebert
Nicolas Audebert (OBELIX), Bertrand Saux, S\'ebastien Lef\`evre (OBELIX)
Deep Learning for Classification of Hyperspectral Data: A Comparative Review
null
null
10.1109/MGRS.2019.2912563
null
cs.LG cs.CV cs.NE eess.IV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In recent years, deep learning techniques revolutionized the way remote sensing data are processed. Classification of hyperspectral data is no exception to the rule, but has intrinsic specificities which make application of deep learning less straightforward than with other optical data. This article presents a state...
[ { "created": "Wed, 24 Apr 2019 07:56:37 GMT", "version": "v1" } ]
2019-04-25
[ [ "Audebert", "Nicolas", "", "OBELIX" ], [ "Saux", "Bertrand", "", "OBELIX" ], [ "Lefèvre", "Sébastien", "", "OBELIX" ] ]
In recent years, deep learning techniques revolutionized the way remote sensing data are processed. Classification of hyperspectral data is no exception to the rule, but has intrinsic specificities which make application of deep learning less straightforward than with other optical data. This article presents a state o...
2302.13509
Jing Liang
Jing Liang, Sanghyun Son, Ming Lin, Dinesh Manocha
GeoLCR: Attention-based Geometric Loop Closure and Registration
null
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a novel algorithm specially designed for loop detection and registration that utilizes Lidar-based perception. Our approach to loop detection involves voxelizing point clouds, followed by an overlap calculation to confirm whether a vehicle has completed a loop. We further enhance the current pose's accurac...
[ { "created": "Mon, 27 Feb 2023 04:16:16 GMT", "version": "v1" }, { "created": "Tue, 28 Feb 2023 01:56:31 GMT", "version": "v2" }, { "created": "Wed, 1 Mar 2023 18:54:09 GMT", "version": "v3" }, { "created": "Thu, 2 Mar 2023 15:14:05 GMT", "version": "v4" }, { "cre...
2023-07-18
[ [ "Liang", "Jing", "" ], [ "Son", "Sanghyun", "" ], [ "Lin", "Ming", "" ], [ "Manocha", "Dinesh", "" ] ]
We present a novel algorithm specially designed for loop detection and registration that utilizes Lidar-based perception. Our approach to loop detection involves voxelizing point clouds, followed by an overlap calculation to confirm whether a vehicle has completed a loop. We further enhance the current pose's accuracy ...
1709.00672
Gaurav Pandey
Gaurav Pandey and Ambedkar Dukkipati
Unsupervised feature learning with discriminative encoder
10 pages, 4 figures, International Conference on Data Mining, 2017
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In recent years, deep discriminative models have achieved extraordinary performance on supervised learning tasks, significantly outperforming their generative counterparts. However, their success relies on the presence of a large amount of labeled data. How can one use the same discriminative models for learning usef...
[ { "created": "Sun, 3 Sep 2017 06:40:35 GMT", "version": "v1" } ]
2017-09-05
[ [ "Pandey", "Gaurav", "" ], [ "Dukkipati", "Ambedkar", "" ] ]
In recent years, deep discriminative models have achieved extraordinary performance on supervised learning tasks, significantly outperforming their generative counterparts. However, their success relies on the presence of a large amount of labeled data. How can one use the same discriminative models for learning useful...
2310.07838
Qingyue Zhao
Qingyue Zhao and Banghua Zhu
Towards the Fundamental Limits of Knowledge Transfer over Finite Domains
41 pages, 2 figures; Appendix polished
null
null
null
cs.LG cs.AI cs.IT math.IT math.ST stat.ML stat.TH
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We characterize the statistical efficiency of knowledge transfer through $n$ samples from a teacher to a probabilistic student classifier with input space $\mathcal S$ over labels $\mathcal A$. We show that privileged information at three progressive levels accelerates the transfer. At the first level, only samples w...
[ { "created": "Wed, 11 Oct 2023 19:30:08 GMT", "version": "v1" }, { "created": "Tue, 17 Oct 2023 15:35:41 GMT", "version": "v2" }, { "created": "Sun, 12 Nov 2023 10:48:07 GMT", "version": "v3" }, { "created": "Tue, 14 Nov 2023 11:26:10 GMT", "version": "v4" } ]
2023-11-15
[ [ "Zhao", "Qingyue", "" ], [ "Zhu", "Banghua", "" ] ]
We characterize the statistical efficiency of knowledge transfer through $n$ samples from a teacher to a probabilistic student classifier with input space $\mathcal S$ over labels $\mathcal A$. We show that privileged information at three progressive levels accelerates the transfer. At the first level, only samples wit...
1711.07341
Hsin-Yuan Huang
Hsin-Yuan Huang, Chenguang Zhu, Yelong Shen, Weizhu Chen
FusionNet: Fusing via Fully-Aware Attention with Application to Machine Comprehension
Published in Sixth International Conference on Learning Representations (ICLR), 2018
null
null
null
cs.CL cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper introduces a new neural structure called FusionNet, which extends existing attention approaches from three perspectives. First, it puts forward a novel concept of "history of word" to characterize attention information from the lowest word-level embedding up to the highest semantic-level representation. Se...
[ { "created": "Thu, 16 Nov 2017 03:52:41 GMT", "version": "v1" }, { "created": "Sun, 4 Feb 2018 04:56:45 GMT", "version": "v2" } ]
2018-02-06
[ [ "Huang", "Hsin-Yuan", "" ], [ "Zhu", "Chenguang", "" ], [ "Shen", "Yelong", "" ], [ "Chen", "Weizhu", "" ] ]
This paper introduces a new neural structure called FusionNet, which extends existing attention approaches from three perspectives. First, it puts forward a novel concept of "history of word" to characterize attention information from the lowest word-level embedding up to the highest semantic-level representation. Seco...
1307.4165
Neetu Goel
Neetu Goel and R.B. Garg
A Comparative Study of CPU Scheduling Algorithms
null
International Journal of Graphics & Image Processing |Vol 2|issue 4|November 2012
null
null
cs.OS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Developing CPU scheduling algorithms and understanding their impact in practice can be difficult and time consuming due to the need to modify and test operating system kernel code and measure the resulting performance on a consistent workload of real applications. As processor is the important resource, CPU schedulin...
[ { "created": "Tue, 16 Jul 2013 05:21:34 GMT", "version": "v1" } ]
2013-07-17
[ [ "Goel", "Neetu", "" ], [ "Garg", "R. B.", "" ] ]
Developing CPU scheduling algorithms and understanding their impact in practice can be difficult and time consuming due to the need to modify and test operating system kernel code and measure the resulting performance on a consistent workload of real applications. As processor is the important resource, CPU scheduling ...
1701.03529
Jonas Szutkoski
Luiz E. Allem, Juliane Capaverde, Mark van Hoeij, Jonas Szutkoski
Functional Decomposition using Principal Subfields
8 pages, accepted for ISSAC'17
null
10.1145/3087604.3087608
null
cs.SC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Let $f\in K(t)$ be a univariate rational function. It is well known that any non-trivial decomposition $g \circ h$, with $g,h\in K(t)$, corresponds to a non-trivial subfield $K(f(t))\subsetneq L \subsetneq K(t)$ and vice-versa. In this paper we use the idea of principal subfields and fast subfield-intersection techni...
[ { "created": "Thu, 12 Jan 2017 23:14:56 GMT", "version": "v1" }, { "created": "Fri, 26 May 2017 19:31:14 GMT", "version": "v2" } ]
2017-05-30
[ [ "Allem", "Luiz E.", "" ], [ "Capaverde", "Juliane", "" ], [ "van Hoeij", "Mark", "" ], [ "Szutkoski", "Jonas", "" ] ]
Let $f\in K(t)$ be a univariate rational function. It is well known that any non-trivial decomposition $g \circ h$, with $g,h\in K(t)$, corresponds to a non-trivial subfield $K(f(t))\subsetneq L \subsetneq K(t)$ and vice-versa. In this paper we use the idea of principal subfields and fast subfield-intersection techniqu...
1802.01447
Lijun Zhao
Lijun Zhao, Huihui Bai, Feng Li, Anhong Wang and Yao Zhao
Mixed-Resolution Image Representation and Compression with Convolutional Neural Networks
5 pages, and 2 figures. arXiv admin note: substantial text overlap with arXiv:1712.05969
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we propose an end-to-end mixed-resolution image compression framework with convolutional neural networks. Firstly, given one input image, feature description neural network (FDNN) is used to generate a new representation of this image, so that this image representation can be more efficiently compresse...
[ { "created": "Fri, 2 Feb 2018 08:57:44 GMT", "version": "v1" }, { "created": "Wed, 1 Aug 2018 03:26:44 GMT", "version": "v2" } ]
2018-08-03
[ [ "Zhao", "Lijun", "" ], [ "Bai", "Huihui", "" ], [ "Li", "Feng", "" ], [ "Wang", "Anhong", "" ], [ "Zhao", "Yao", "" ] ]
In this paper, we propose an end-to-end mixed-resolution image compression framework with convolutional neural networks. Firstly, given one input image, feature description neural network (FDNN) is used to generate a new representation of this image, so that this image representation can be more efficiently compressed ...
1903.02149
Xie De
Chao Li, Cheng Deng, Lei Wang, De Xie, Xianglong Liu
Coupled CycleGAN: Unsupervised Hashing Network for Cross-Modal Retrieval
null
null
null
null
cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In recent years, hashing has attracted more and more attention owing to its superior capacity of low storage cost and high query efficiency in large-scale cross-modal retrieval. Benefiting from deep leaning, continuously compelling results in cross-modal retrieval community have been achieved. However, existing deep ...
[ { "created": "Wed, 6 Mar 2019 03:09:20 GMT", "version": "v1" } ]
2019-03-07
[ [ "Li", "Chao", "" ], [ "Deng", "Cheng", "" ], [ "Wang", "Lei", "" ], [ "Xie", "De", "" ], [ "Liu", "Xianglong", "" ] ]
In recent years, hashing has attracted more and more attention owing to its superior capacity of low storage cost and high query efficiency in large-scale cross-modal retrieval. Benefiting from deep leaning, continuously compelling results in cross-modal retrieval community have been achieved. However, existing deep cr...
1705.03865
Akshay Gupta
Akshay Kumar Gupta
Survey of Visual Question Answering: Datasets and Techniques
10 pages, 3 figures, 3 tables Added references, corrected typos, made references less wordy
null
null
null
cs.CL cs.AI cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Visual question answering (or VQA) is a new and exciting problem that combines natural language processing and computer vision techniques. We present a survey of the various datasets and models that have been used to tackle this task. The first part of the survey details the various datasets for VQA and compares them...
[ { "created": "Wed, 10 May 2017 17:30:17 GMT", "version": "v1" }, { "created": "Thu, 11 May 2017 06:46:52 GMT", "version": "v2" } ]
2017-05-12
[ [ "Gupta", "Akshay Kumar", "" ] ]
Visual question answering (or VQA) is a new and exciting problem that combines natural language processing and computer vision techniques. We present a survey of the various datasets and models that have been used to tackle this task. The first part of the survey details the various datasets for VQA and compares them a...
2308.16708
Sebastian Lubos
Sebastian Lubos, Thi Ngoc Trang Tran, Seda Polat Erdeniz, Merfat El Mansi, Alexander Felfernig, Manfred Wundara and Gerhard Leitner
Concentrating on the Impact: Consequence-based Explanations in Recommender Systems
The paper was presented at IntRS'23: Joint Workshop on Interfaces and Human Decision Making for Recommender Systems, September 18, 2023, Singapore. and is published in the workshop proceedings: https://ceur-ws.org/Vol-3534/
null
null
null
cs.IR cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recommender systems assist users in decision-making, where the presentation of recommended items and their explanations are critical factors for enhancing the overall user experience. Although various methods for generating explanations have been proposed, there is still room for improvement, particularly for users w...
[ { "created": "Thu, 31 Aug 2023 13:24:57 GMT", "version": "v1" }, { "created": "Tue, 3 Oct 2023 14:14:43 GMT", "version": "v2" }, { "created": "Fri, 3 Nov 2023 12:02:49 GMT", "version": "v3" } ]
2023-11-06
[ [ "Lubos", "Sebastian", "" ], [ "Tran", "Thi Ngoc Trang", "" ], [ "Erdeniz", "Seda Polat", "" ], [ "Mansi", "Merfat El", "" ], [ "Felfernig", "Alexander", "" ], [ "Wundara", "Manfred", "" ], [ "Leitner", "Gerhard...
Recommender systems assist users in decision-making, where the presentation of recommended items and their explanations are critical factors for enhancing the overall user experience. Although various methods for generating explanations have been proposed, there is still room for improvement, particularly for users who...
1512.02831
Fabian Gieseke
Fabian Gieseke and Cosmin Eugen Oancea and Ashish Mahabal and Christian Igel and Tom Heskes
Bigger Buffer k-d Trees on Multi-Many-Core Systems
null
null
null
null
cs.DC cs.DS cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A buffer k-d tree is a k-d tree variant for massively-parallel nearest neighbor search. While providing valuable speed-ups on modern many-core devices in case both a large number of reference and query points are given, buffer k-d trees are limited by the amount of points that can fit on a single device. In this work...
[ { "created": "Wed, 9 Dec 2015 12:28:12 GMT", "version": "v1" } ]
2015-12-10
[ [ "Gieseke", "Fabian", "" ], [ "Oancea", "Cosmin Eugen", "" ], [ "Mahabal", "Ashish", "" ], [ "Igel", "Christian", "" ], [ "Heskes", "Tom", "" ] ]
A buffer k-d tree is a k-d tree variant for massively-parallel nearest neighbor search. While providing valuable speed-ups on modern many-core devices in case both a large number of reference and query points are given, buffer k-d trees are limited by the amount of points that can fit on a single device. In this work, ...
2110.07959
Zhiwei Tang
Zhiwei Tang, Tsung-Hui Chang, Xiaojing Ye, Hongyuan Zha
Low-rank Matrix Recovery With Unknown Correspondence
null
null
null
null
cs.LG cs.IR stat.ML
http://creativecommons.org/licenses/by/4.0/
We study a matrix recovery problem with unknown correspondence: given the observation matrix $M_o=[A,\tilde P B]$, where $\tilde P$ is an unknown permutation matrix, we aim to recover the underlying matrix $M=[A,B]$. Such problem commonly arises in many applications where heterogeneous data are utilized and the corre...
[ { "created": "Fri, 15 Oct 2021 09:27:50 GMT", "version": "v1" }, { "created": "Mon, 18 Oct 2021 03:10:41 GMT", "version": "v2" } ]
2021-10-19
[ [ "Tang", "Zhiwei", "" ], [ "Chang", "Tsung-Hui", "" ], [ "Ye", "Xiaojing", "" ], [ "Zha", "Hongyuan", "" ] ]
We study a matrix recovery problem with unknown correspondence: given the observation matrix $M_o=[A,\tilde P B]$, where $\tilde P$ is an unknown permutation matrix, we aim to recover the underlying matrix $M=[A,B]$. Such problem commonly arises in many applications where heterogeneous data are utilized and the corresp...
2011.06512
Angelica Louren\c{c}o Oliveira
Angelica Louren\c{c}o Oliveira and Marcos Eduardo Valle
Linear Dilation-Erosion Perceptron Trained Using a Convex-Concave Procedure
10 pages, 2 figures, 12th International Conference on Soft Computing and Pattern Recognition, preprint
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Mathematical morphology (MM) is a theory of non-linear operators used for the processing and analysis of images. Morphological neural networks (MNNs) are neural networks whose neurons compute morphological operators. Dilations and erosions are the elementary operators of MM. From an algebraic point of view, a dilatio...
[ { "created": "Wed, 11 Nov 2020 18:37:07 GMT", "version": "v1" } ]
2020-11-13
[ [ "Oliveira", "Angelica Lourenço", "" ], [ "Valle", "Marcos Eduardo", "" ] ]
Mathematical morphology (MM) is a theory of non-linear operators used for the processing and analysis of images. Morphological neural networks (MNNs) are neural networks whose neurons compute morphological operators. Dilations and erosions are the elementary operators of MM. From an algebraic point of view, a dilation ...
2401.01185
Mete \c{S}eref Ahunbay
Mete \c{S}eref Ahunbay, Martin Bichler
On the Uniqueness of Bayesian Coarse Correlated Equilibria in Standard First-Price and All-Pay Auctions
73 pages, 6 figures. A first version of this article appeared on ArXiV on January 2nd/3rd, 2024. This version significantly extends the results
null
null
null
cs.GT
http://creativecommons.org/licenses/by/4.0/
We study the Bayesian coarse correlated equilibrium (BCCE) of continuous and discretised first-price and all-pay auctions under the standard symmetric independent private-values model. Our goal is to determine how the canonical Bayes-Nash equilibrium (BNE) of the auction relates to the outcome when all buyers bid fol...
[ { "created": "Tue, 2 Jan 2024 12:27:13 GMT", "version": "v1" }, { "created": "Wed, 3 Jan 2024 09:24:00 GMT", "version": "v2" }, { "created": "Thu, 20 Jun 2024 08:36:22 GMT", "version": "v3" } ]
2024-06-21
[ [ "Ahunbay", "Mete Şeref", "" ], [ "Bichler", "Martin", "" ] ]
We study the Bayesian coarse correlated equilibrium (BCCE) of continuous and discretised first-price and all-pay auctions under the standard symmetric independent private-values model. Our goal is to determine how the canonical Bayes-Nash equilibrium (BNE) of the auction relates to the outcome when all buyers bid follo...
1206.2276
Masoud Alipour
Masoud Alipour, Omid Etesami, Ghid Maatouk, Amin Shokrollahi
Irregular Product Codes
First draft
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider irregular product codes.In this class of codes, each codeword is represented by a matrix. The entries in each row (column) of the matrix should come from a component row (column) code. As opposed to (standard) product codes, we do not require that all component row codes nor all component column codes be ...
[ { "created": "Mon, 11 Jun 2012 16:24:19 GMT", "version": "v1" } ]
2012-06-12
[ [ "Alipour", "Masoud", "" ], [ "Etesami", "Omid", "" ], [ "Maatouk", "Ghid", "" ], [ "Shokrollahi", "Amin", "" ] ]
We consider irregular product codes.In this class of codes, each codeword is represented by a matrix. The entries in each row (column) of the matrix should come from a component row (column) code. As opposed to (standard) product codes, we do not require that all component row codes nor all component column codes be th...
1806.05599
Christina Niklaus
Christina Niklaus, Matthias Cetto, Andr\'e Freitas and Siegfried Handschuh
A Survey on Open Information Extraction
27th International Conference on Computational Linguistics (COLING 2018)
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
We provide a detailed overview of the various approaches that were proposed to date to solve the task of Open Information Extraction. We present the major challenges that such systems face, show the evolution of the suggested approaches over time and depict the specific issues they address. In addition, we provide a ...
[ { "created": "Thu, 14 Jun 2018 15:07:46 GMT", "version": "v1" } ]
2018-06-15
[ [ "Niklaus", "Christina", "" ], [ "Cetto", "Matthias", "" ], [ "Freitas", "André", "" ], [ "Handschuh", "Siegfried", "" ] ]
We provide a detailed overview of the various approaches that were proposed to date to solve the task of Open Information Extraction. We present the major challenges that such systems face, show the evolution of the suggested approaches over time and depict the specific issues they address. In addition, we provide a cr...
2002.03149
Yanyan Zou
Yanyan Zou, Wei Lu and Xu Sun
Mining Commonsense Facts from the Physical World
The experiment part is not insufficient which might confuses the readers, while we are not planning to improve it for now. To ensure the quality of arxiv papers, we would like to withdraw this submission
null
null
null
cs.CL
http://creativecommons.org/licenses/by-nc-sa/4.0/
Textual descriptions of the physical world implicitly mention commonsense facts, while the commonsense knowledge bases explicitly represent such facts as triples. Compared to dramatically increased text data, the coverage of existing knowledge bases is far away from completion. Most of the prior studies on populating...
[ { "created": "Sat, 8 Feb 2020 12:02:45 GMT", "version": "v1" }, { "created": "Tue, 11 Feb 2020 04:16:47 GMT", "version": "v2" }, { "created": "Tue, 14 Apr 2020 00:58:51 GMT", "version": "v3" } ]
2020-04-15
[ [ "Zou", "Yanyan", "" ], [ "Lu", "Wei", "" ], [ "Sun", "Xu", "" ] ]
Textual descriptions of the physical world implicitly mention commonsense facts, while the commonsense knowledge bases explicitly represent such facts as triples. Compared to dramatically increased text data, the coverage of existing knowledge bases is far away from completion. Most of the prior studies on populating k...
2210.07914
Corto Mascle
Corto Mascle
Model-checking lock-sharing systems against regular constraints
null
null
null
null
cs.FL cs.DC
http://creativecommons.org/licenses/by/4.0/
We study the verification of distributed systems where processes are finite automata with access to a shared pool of locks. We consider objectives that are boolean combinations of local regular constraints. We show that the problem, PSPACE-complete in general, falls in NP with the right assumptions on the system. We ...
[ { "created": "Fri, 14 Oct 2022 15:56:32 GMT", "version": "v1" } ]
2022-10-17
[ [ "Mascle", "Corto", "" ] ]
We study the verification of distributed systems where processes are finite automata with access to a shared pool of locks. We consider objectives that are boolean combinations of local regular constraints. We show that the problem, PSPACE-complete in general, falls in NP with the right assumptions on the system. We us...
2301.10225
Don Krieger
Jeffrey Balzer, Julia Caviness, Don Krieger
The Evolution of Real-time Remote Intraoperative Neurophysiological Monitoring (IONM)
12 pages, 3 figures
null
null
null
cs.OH cs.CY
http://creativecommons.org/licenses/by-nc-nd/4.0/
Real-time monitoring of nervous system function with immediate communication of relevant information to the surgeon enables prevention and/or mitigation of iatrogenic injury in many surgical procedures. The hardware and software infrastructure and demonstrated usefulness of telemedicine in support of IONM originated ...
[ { "created": "Tue, 10 Jan 2023 14:57:37 GMT", "version": "v1" } ]
2023-01-25
[ [ "Balzer", "Jeffrey", "" ], [ "Caviness", "Julia", "" ], [ "Krieger", "Don", "" ] ]
Real-time monitoring of nervous system function with immediate communication of relevant information to the surgeon enables prevention and/or mitigation of iatrogenic injury in many surgical procedures. The hardware and software infrastructure and demonstrated usefulness of telemedicine in support of IONM originated in...
1911.12904
Zinovy Diskin
Zinovy Diskin
General supervised learning as change propagation with delta lenses
An extended version of paper with the same title published at FOSSACS 2020. Unfortunately, both the paper and the previous version of the extended version uploaded to arxiv on Feb 26, 2020, had bad typos in Definition 4 and Fig.4, which are now fixed
In: Foundations of Software Science and Computation Structures. FoSSaCS 2020. Lecture Notes in Computer Science, vol 12077. Springer, pp.177-197
10.1007/978-3-030-45231-5_10
null
cs.LO math.CT
http://creativecommons.org/licenses/by-sa/4.0/
Delta lenses are an established mathematical framework for modelling and designing bidirectional model transformations. Following the recent observations by Fong et al, the paper extends the delta lens framework with a a new ingredient: learning over a parameterized space of model transformations seen as functors. We...
[ { "created": "Thu, 28 Nov 2019 23:56:43 GMT", "version": "v1" }, { "created": "Tue, 25 Feb 2020 17:44:25 GMT", "version": "v2" }, { "created": "Wed, 26 Feb 2020 01:51:32 GMT", "version": "v3" }, { "created": "Fri, 9 Jul 2021 17:56:07 GMT", "version": "v4" } ]
2021-07-12
[ [ "Diskin", "Zinovy", "" ] ]
Delta lenses are an established mathematical framework for modelling and designing bidirectional model transformations. Following the recent observations by Fong et al, the paper extends the delta lens framework with a a new ingredient: learning over a parameterized space of model transformations seen as functors. We d...
2312.02229
Mahboobeh Parsapoor
Mahboobeh Parsapoor
Synthetic Data Generation Techniques for Developing AI-based Speech Assessments for Parkinson's Disease (A Comparative Study)
6, 5 Tables, 5 Figures
null
null
null
cs.SD cs.AI cs.LG eess.AS
http://creativecommons.org/licenses/by/4.0/
Changes in speech and language are among the first signs of Parkinson's disease (PD). Thus, clinicians have tried to identify individuals with PD from their voices for years. Doctors can leverage AI-based speech assessments to spot PD thanks to advancements in artificial intelligence (AI). Such AI systems can be deve...
[ { "created": "Mon, 4 Dec 2023 03:12:09 GMT", "version": "v1" } ]
2023-12-06
[ [ "Parsapoor", "Mahboobeh", "" ] ]
Changes in speech and language are among the first signs of Parkinson's disease (PD). Thus, clinicians have tried to identify individuals with PD from their voices for years. Doctors can leverage AI-based speech assessments to spot PD thanks to advancements in artificial intelligence (AI). Such AI systems can be develo...
1602.03115
Li Xiao
Li Xiao, Xiang-Gen Xia, and Haiye Huo
Towards Robustness in Residue Number Systems
32 pages, 5 figures
null
10.1109/TSP.2016.2641398
null
cs.IT math.IT math.NT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The problem of robustly reconstructing a large number from its erroneous remainders with respect to several moduli, namely the robust remaindering problem, may occur in many applications including phase unwrapping, frequency detection from several undersampled waveforms, wireless sensor networks, etc. Assuming that t...
[ { "created": "Tue, 9 Feb 2016 18:53:55 GMT", "version": "v1" } ]
2017-04-05
[ [ "Xiao", "Li", "" ], [ "Xia", "Xiang-Gen", "" ], [ "Huo", "Haiye", "" ] ]
The problem of robustly reconstructing a large number from its erroneous remainders with respect to several moduli, namely the robust remaindering problem, may occur in many applications including phase unwrapping, frequency detection from several undersampled waveforms, wireless sensor networks, etc. Assuming that the...
2405.07941
Oleksandr Kuznetsov
Oleksandr Kuznetsov, Alex Rusnak, Anton Yezhov, Dzianis Kanonik, Kateryna Kuznetsova, Oleksandr Domin
Efficient and Universal Merkle Tree Inclusion Proofs via OR Aggregation
null
Cryptography 2024, 8, 28
10.3390/cryptography8030028
null
cs.CR
http://creativecommons.org/licenses/by/4.0/
Zero-knowledge proofs have emerged as a powerful tool for enhancing privacy and security in blockchain applications. However, the efficiency and scalability of proof systems remain a significant challenge, particularly in the context of Merkle tree inclusion proofs. Traditional proof aggregation techniques based on A...
[ { "created": "Mon, 13 May 2024 17:15:38 GMT", "version": "v1" } ]
2024-07-08
[ [ "Kuznetsov", "Oleksandr", "" ], [ "Rusnak", "Alex", "" ], [ "Yezhov", "Anton", "" ], [ "Kanonik", "Dzianis", "" ], [ "Kuznetsova", "Kateryna", "" ], [ "Domin", "Oleksandr", "" ] ]
Zero-knowledge proofs have emerged as a powerful tool for enhancing privacy and security in blockchain applications. However, the efficiency and scalability of proof systems remain a significant challenge, particularly in the context of Merkle tree inclusion proofs. Traditional proof aggregation techniques based on AND...
2001.01027
Konstantinos A. Mountris
Konstantinos A. Mountris and Esther Pueyo
The Radial Point Interpolation Mixed Collocation (RPIMC) Method for the Solution of Transient Diffusion Problems
Accepted version for publication in Engineering Analysis with Boundary Elements
Engineering Analysis with Boundary Elements 121 (2020): 207-216
10.1016/j.enganabound.2020.10.005
null
cs.CE cs.NA math.NA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The Radial Point Interpolation Mixed Collocation (RPIMC) method is proposed in this paper for transient analysis of diffusion problems. RPIMC is an efficient purely meshless method where the solution of the field variable is obtained through collocation. The field function and its gradient are both interpolated (mixe...
[ { "created": "Sat, 4 Jan 2020 03:30:37 GMT", "version": "v1" }, { "created": "Wed, 7 Oct 2020 13:23:27 GMT", "version": "v2" } ]
2021-10-14
[ [ "Mountris", "Konstantinos A.", "" ], [ "Pueyo", "Esther", "" ] ]
The Radial Point Interpolation Mixed Collocation (RPIMC) method is proposed in this paper for transient analysis of diffusion problems. RPIMC is an efficient purely meshless method where the solution of the field variable is obtained through collocation. The field function and its gradient are both interpolated (mixed ...
1910.06824
Kizito Nkurikiyeyezu
Kizito Nkurikiyeyezu, Anna Yokokubo, Guillaume Lopez
Affect-aware thermal comfort provision in intelligent buildings
null
null
10.1109/ACIIW.2019.8925184
null
cs.HC eess.IV eess.SP
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Predominant thermal comfort provision technologies are energy-hungry, and yet they perform crudely because they overlook the requisite precursors to thermal comfort. They also fail to exclusively cool or heat the parts of the body (e.g., the wrist, the feet, and the head) that influence the most a person's thermal co...
[ { "created": "Thu, 3 Oct 2019 13:46:17 GMT", "version": "v1" }, { "created": "Tue, 31 Dec 2019 08:20:58 GMT", "version": "v2" } ]
2020-01-01
[ [ "Nkurikiyeyezu", "Kizito", "" ], [ "Yokokubo", "Anna", "" ], [ "Lopez", "Guillaume", "" ] ]
Predominant thermal comfort provision technologies are energy-hungry, and yet they perform crudely because they overlook the requisite precursors to thermal comfort. They also fail to exclusively cool or heat the parts of the body (e.g., the wrist, the feet, and the head) that influence the most a person's thermal comf...
2404.16456
Mingcheng Li
Mingcheng Li, Dingkang Yang, Xiao Zhao, Shuaibing Wang, Yan Wang, Kun Yang, Mingyang Sun, Dongliang Kou, Ziyun Qian, Lihua Zhang
Correlation-Decoupled Knowledge Distillation for Multimodal Sentiment Analysis with Incomplete Modalities
Accepted by CVPR 2024
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Multimodal sentiment analysis (MSA) aims to understand human sentiment through multimodal data. Most MSA efforts are based on the assumption of modality completeness. However, in real-world applications, some practical factors cause uncertain modality missingness, which drastically degrades the model's performance. T...
[ { "created": "Thu, 25 Apr 2024 09:35:09 GMT", "version": "v1" }, { "created": "Mon, 10 Jun 2024 09:10:37 GMT", "version": "v2" } ]
2024-06-11
[ [ "Li", "Mingcheng", "" ], [ "Yang", "Dingkang", "" ], [ "Zhao", "Xiao", "" ], [ "Wang", "Shuaibing", "" ], [ "Wang", "Yan", "" ], [ "Yang", "Kun", "" ], [ "Sun", "Mingyang", "" ], [ "Kou", "Dongl...
Multimodal sentiment analysis (MSA) aims to understand human sentiment through multimodal data. Most MSA efforts are based on the assumption of modality completeness. However, in real-world applications, some practical factors cause uncertain modality missingness, which drastically degrades the model's performance. To ...
2310.00896
Yihong Zhang
Yihong Zhang and Takahiro Hara
Organized Event Participant Prediction Enhanced by Social Media Retweeting Data
Accepted in WI-IAT 2023
null
null
null
cs.LG cs.IR
http://creativecommons.org/licenses/by/4.0/
Nowadays, many platforms on the Web offer organized events, allowing users to be organizers or participants. For such platforms, it is beneficial to predict potential event participants. Existing work on this problem tends to borrow recommendation techniques. However, compared to e-commerce items and purchases, event...
[ { "created": "Mon, 2 Oct 2023 04:26:07 GMT", "version": "v1" } ]
2023-10-03
[ [ "Zhang", "Yihong", "" ], [ "Hara", "Takahiro", "" ] ]
Nowadays, many platforms on the Web offer organized events, allowing users to be organizers or participants. For such platforms, it is beneficial to predict potential event participants. Existing work on this problem tends to borrow recommendation techniques. However, compared to e-commerce items and purchases, events ...
1803.07985
Hauke J\"urgen M\"onck
Hauke J\"urgen M\"onck, Andreas J\"org, Tobias von Falkenhausen, Julian Tanke, Benjamin Wild, David Dormagen, Jonas Piotrowski, Claudia Winklmayr, David Bierbach, Tim Landgraf
BioTracker: An Open-Source Computer Vision Framework for Visual Animal Tracking
4 pages, 2 figures
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The study of animal behavior increasingly relies on (semi-) automatic methods for the extraction of relevant behavioral features from video or picture data. To date, several specialized software products exist to detect and track animals' positions in simple (laboratory) environments. Tracking animals in their natura...
[ { "created": "Wed, 21 Mar 2018 16:12:18 GMT", "version": "v1" } ]
2018-03-22
[ [ "Mönck", "Hauke Jürgen", "" ], [ "Jörg", "Andreas", "" ], [ "von Falkenhausen", "Tobias", "" ], [ "Tanke", "Julian", "" ], [ "Wild", "Benjamin", "" ], [ "Dormagen", "David", "" ], [ "Piotrowski", "Jonas", "...
The study of animal behavior increasingly relies on (semi-) automatic methods for the extraction of relevant behavioral features from video or picture data. To date, several specialized software products exist to detect and track animals' positions in simple (laboratory) environments. Tracking animals in their natural ...
2112.00875
Shyama Arunachalam
Shyama Kumari Arunachalam, Roopa V, Meena H B, Vijayalakshmi, T Malavika
Secure and Safety Mobile Network System for Visually Impaired People
4 pages, 3 figures, Accepted at 2012 IEEE ICECE, Bangalore
null
null
null
cs.HC cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The proposed system aims to be a techno-friend of visually impaired people to assist them in orientation and mobility both indoor and outdoor. Moving through an unknown environment becomes a real challenge for most of them, although they rely on their other senses. An age old mechanism used for assistance for the bli...
[ { "created": "Wed, 1 Dec 2021 22:56:36 GMT", "version": "v1" } ]
2021-12-03
[ [ "Arunachalam", "Shyama Kumari", "" ], [ "V", "Roopa", "" ], [ "B", "Meena H", "" ], [ "Vijayalakshmi", "", "" ], [ "Malavika", "T", "" ] ]
The proposed system aims to be a techno-friend of visually impaired people to assist them in orientation and mobility both indoor and outdoor. Moving through an unknown environment becomes a real challenge for most of them, although they rely on their other senses. An age old mechanism used for assistance for the blind...
2003.03030
Shihao Zhao
Shihao Zhao, Xingjun Ma, Xiang Zheng, James Bailey, Jingjing Chen, Yu-Gang Jiang
Clean-Label Backdoor Attacks on Video Recognition Models
CVPR2020
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep neural networks (DNNs) are vulnerable to backdoor attacks which can hide backdoor triggers in DNNs by poisoning training data. A backdoored model behaves normally on clean test images, yet consistently predicts a particular target class for any test examples that contain the trigger pattern. As such, backdoor at...
[ { "created": "Fri, 6 Mar 2020 04:51:48 GMT", "version": "v1" }, { "created": "Tue, 16 Jun 2020 12:13:20 GMT", "version": "v2" } ]
2020-06-17
[ [ "Zhao", "Shihao", "" ], [ "Ma", "Xingjun", "" ], [ "Zheng", "Xiang", "" ], [ "Bailey", "James", "" ], [ "Chen", "Jingjing", "" ], [ "Jiang", "Yu-Gang", "" ] ]
Deep neural networks (DNNs) are vulnerable to backdoor attacks which can hide backdoor triggers in DNNs by poisoning training data. A backdoored model behaves normally on clean test images, yet consistently predicts a particular target class for any test examples that contain the trigger pattern. As such, backdoor atta...
2009.09806
Paolo Pareti Dr.
Paolo Pareti and George Konstantinidis and Fabio Mogavero and Timothy J. Norman
SHACL Satisfiability and Containment (Extended Paper)
null
null
null
null
cs.LO cs.AI cs.DB
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The Shapes Constraint Language (SHACL) is a recent W3C recommendation language for validating RDF data. Specifically, SHACL documents are collections of constraints that enforce particular shapes on an RDF graph. Previous work on the topic has provided theoretical and practical results for the validation problem, but...
[ { "created": "Mon, 31 Aug 2020 14:52:03 GMT", "version": "v1" }, { "created": "Thu, 5 Nov 2020 10:55:19 GMT", "version": "v2" } ]
2020-11-06
[ [ "Pareti", "Paolo", "" ], [ "Konstantinidis", "George", "" ], [ "Mogavero", "Fabio", "" ], [ "Norman", "Timothy J.", "" ] ]
The Shapes Constraint Language (SHACL) is a recent W3C recommendation language for validating RDF data. Specifically, SHACL documents are collections of constraints that enforce particular shapes on an RDF graph. Previous work on the topic has provided theoretical and practical results for the validation problem, but d...
2406.12103
Jayshree Sarathy
Rachel Cummings and Jayshree Sarathy
Centering Policy and Practice: Research Gaps around Usable Differential Privacy
null
2023 5th IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA). IEEE Computer Society, 2023
null
null
cs.CR cs.CY cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
As a mathematically rigorous framework that has amassed a rich theoretical literature, differential privacy is considered by many experts to be the gold standard for privacy-preserving data analysis. Others argue that while differential privacy is a clean formulation in theory, it poses significant challenges in prac...
[ { "created": "Mon, 17 Jun 2024 21:32:30 GMT", "version": "v1" } ]
2024-06-19
[ [ "Cummings", "Rachel", "" ], [ "Sarathy", "Jayshree", "" ] ]
As a mathematically rigorous framework that has amassed a rich theoretical literature, differential privacy is considered by many experts to be the gold standard for privacy-preserving data analysis. Others argue that while differential privacy is a clean formulation in theory, it poses significant challenges in practi...
2206.12147
Xiao Wang
Xiao Wang, Shaoguo Liu, Yidong Jia, Yuxin Fu, Yufang Yu, Liang Wang, Bo Zheng
MCMF: Multi-Constraints With Merging Features Bid Optimization in Online Display Advertising
5 pages, 5 figures
null
null
null
cs.GT cs.CE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the Real-Time Bidding (RTB), advertisers are increasingly relying on bid optimization to gain more conversions (i.e trade or arrival). Currently, the efficiency of bid optimization is still challenged by the (1) sparse feedback, (2) the budget management separated from the optimization, and (3) absence of bidding ...
[ { "created": "Fri, 24 Jun 2022 08:25:28 GMT", "version": "v1" }, { "created": "Mon, 27 Jun 2022 12:23:40 GMT", "version": "v2" } ]
2022-06-28
[ [ "Wang", "Xiao", "" ], [ "Liu", "Shaoguo", "" ], [ "Jia", "Yidong", "" ], [ "Fu", "Yuxin", "" ], [ "Yu", "Yufang", "" ], [ "Wang", "Liang", "" ], [ "Zheng", "Bo", "" ] ]
In the Real-Time Bidding (RTB), advertisers are increasingly relying on bid optimization to gain more conversions (i.e trade or arrival). Currently, the efficiency of bid optimization is still challenged by the (1) sparse feedback, (2) the budget management separated from the optimization, and (3) absence of bidding en...
2308.02000
Junyan Cheng
Junyan Cheng and Peter Chin
On the Transition from Neural Representation to Symbolic Knowledge
null
null
null
null
cs.AI cs.CV cs.LG
http://creativecommons.org/licenses/by/4.0/
Bridging the huge disparity between neural and symbolic representation can potentially enable the incorporation of symbolic thinking into neural networks from essence. Motivated by how human gradually builds complex symbolic representation from the prototype symbols that are learned through perception and environment...
[ { "created": "Thu, 3 Aug 2023 19:29:35 GMT", "version": "v1" } ]
2023-08-07
[ [ "Cheng", "Junyan", "" ], [ "Chin", "Peter", "" ] ]
Bridging the huge disparity between neural and symbolic representation can potentially enable the incorporation of symbolic thinking into neural networks from essence. Motivated by how human gradually builds complex symbolic representation from the prototype symbols that are learned through perception and environmental...
2403.14646
Adil Rasheed Professor
Adil Rasheed, Florian Stadtmann, Eivind Fonn, Mandar Tabib, Vasileios Tsiolakis, Balram Panjwani, Kjetil Andre Johannessen, Trond Kvamsdal, Omer San, John Olav Tande, Idar Barstad, Tore Christiansen, Elling Rishoff, Lars Fr{\o}yd, Tore Rasmussen
Digital Twin for Wind Energy: Latest updates from the NorthWind project
null
null
null
null
cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
NorthWind, a collaborative research initiative supported by the Research Council of Norway, industry stakeholders, and research partners, aims to advance cutting-edge research and innovation in wind energy. The core mission is to reduce wind power costs and foster sustainable growth, with a key focus on the developme...
[ { "created": "Wed, 21 Feb 2024 22:53:39 GMT", "version": "v1" }, { "created": "Tue, 26 Mar 2024 08:47:52 GMT", "version": "v2" } ]
2024-03-27
[ [ "Rasheed", "Adil", "" ], [ "Stadtmann", "Florian", "" ], [ "Fonn", "Eivind", "" ], [ "Tabib", "Mandar", "" ], [ "Tsiolakis", "Vasileios", "" ], [ "Panjwani", "Balram", "" ], [ "Johannessen", "Kjetil Andre", ...
NorthWind, a collaborative research initiative supported by the Research Council of Norway, industry stakeholders, and research partners, aims to advance cutting-edge research and innovation in wind energy. The core mission is to reduce wind power costs and foster sustainable growth, with a key focus on the development...
1307.7042
Andrzej Kapanowski
Andrzej Kapanowski
Python for education: permutations
26 pages, 1 figure, 2 tables
The Python Papers 9, 3 (2014)
null
null
cs.MS math.HO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Python implementation of permutations is presented. Three classes are introduced: Perm for permutations, Group for permutation groups, and PermError to report any errors for both classes. The class Perm is based on Python dictionaries and utilize cycle notation. The methods of calculation for the perm order, parity, ...
[ { "created": "Fri, 26 Jul 2013 14:18:21 GMT", "version": "v1" } ]
2014-06-17
[ [ "Kapanowski", "Andrzej", "" ] ]
Python implementation of permutations is presented. Three classes are introduced: Perm for permutations, Group for permutation groups, and PermError to report any errors for both classes. The class Perm is based on Python dictionaries and utilize cycle notation. The methods of calculation for the perm order, parity, ra...
2406.03792
Naibin Gu
Naibin Gu, Peng Fu, Xiyu Liu, Bowen Shen, Zheng Lin, Weiping Wang
Light-PEFT: Lightening Parameter-Efficient Fine-Tuning via Early Pruning
Findings of ACL 2024
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Parameter-efficient fine-tuning (PEFT) has emerged as the predominant technique for fine-tuning in the era of large language models. However, existing PEFT methods still have inadequate training efficiency. Firstly, the utilization of large-scale foundation models during the training process is excessively redundant ...
[ { "created": "Thu, 6 Jun 2024 07:03:29 GMT", "version": "v1" } ]
2024-06-07
[ [ "Gu", "Naibin", "" ], [ "Fu", "Peng", "" ], [ "Liu", "Xiyu", "" ], [ "Shen", "Bowen", "" ], [ "Lin", "Zheng", "" ], [ "Wang", "Weiping", "" ] ]
Parameter-efficient fine-tuning (PEFT) has emerged as the predominant technique for fine-tuning in the era of large language models. However, existing PEFT methods still have inadequate training efficiency. Firstly, the utilization of large-scale foundation models during the training process is excessively redundant fo...
2406.10887
Decheng Liu
Decheng Liu, Qixuan Su, Chunlei Peng, Nannan Wang, Xinbo Gao
Imperceptible Face Forgery Attack via Adversarial Semantic Mask
The code is publicly available
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With the great development of generative model techniques, face forgery detection draws more and more attention in the related field. Researchers find that existing face forgery models are still vulnerable to adversarial examples with generated pixel perturbations in the global image. These generated adversarial samp...
[ { "created": "Sun, 16 Jun 2024 10:38:11 GMT", "version": "v1" } ]
2024-06-18
[ [ "Liu", "Decheng", "" ], [ "Su", "Qixuan", "" ], [ "Peng", "Chunlei", "" ], [ "Wang", "Nannan", "" ], [ "Gao", "Xinbo", "" ] ]
With the great development of generative model techniques, face forgery detection draws more and more attention in the related field. Researchers find that existing face forgery models are still vulnerable to adversarial examples with generated pixel perturbations in the global image. These generated adversarial sample...
2203.00798
Jingxi Xu
Jingxi Xu, Shuran Song, Matei Ciocarlie
TANDEM: Learning Joint Exploration and Decision Making with Tactile Sensors
Accepted to Robotics and Automation Letters (RA-L) and International Conference on Intelligent Robots and Systems (IROS) 2022
null
null
null
cs.RO cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Inspired by the human ability to perform complex manipulation in the complete absence of vision (like retrieving an object from a pocket), the robotic manipulation field is motivated to develop new methods for tactile-based object interaction. However, tactile sensing presents the challenge of being an active sensing...
[ { "created": "Tue, 1 Mar 2022 23:55:09 GMT", "version": "v1" }, { "created": "Sun, 26 Jun 2022 06:11:33 GMT", "version": "v2" }, { "created": "Thu, 21 Jul 2022 06:52:17 GMT", "version": "v3" } ]
2022-07-22
[ [ "Xu", "Jingxi", "" ], [ "Song", "Shuran", "" ], [ "Ciocarlie", "Matei", "" ] ]
Inspired by the human ability to perform complex manipulation in the complete absence of vision (like retrieving an object from a pocket), the robotic manipulation field is motivated to develop new methods for tactile-based object interaction. However, tactile sensing presents the challenge of being an active sensing m...
2305.02201
Lingyao Li
Lingyao Li, Zihui Ma, Lizhou Fan, Sanggyu Lee, Huizi Yu, Libby Hemphill
ChatGPT in education: A discourse analysis of worries and concerns on social media
null
null
null
null
cs.CY
http://creativecommons.org/licenses/by/4.0/
The rapid advancements in generative AI models present new opportunities in the education sector. However, it is imperative to acknowledge and address the potential risks and concerns that may arise with their use. We analyzed Twitter data to identify key concerns related to the use of ChatGPT in education. We employ...
[ { "created": "Sat, 29 Apr 2023 22:08:42 GMT", "version": "v1" } ]
2023-05-04
[ [ "Li", "Lingyao", "" ], [ "Ma", "Zihui", "" ], [ "Fan", "Lizhou", "" ], [ "Lee", "Sanggyu", "" ], [ "Yu", "Huizi", "" ], [ "Hemphill", "Libby", "" ] ]
The rapid advancements in generative AI models present new opportunities in the education sector. However, it is imperative to acknowledge and address the potential risks and concerns that may arise with their use. We analyzed Twitter data to identify key concerns related to the use of ChatGPT in education. We employed...
2312.17591
Dongfang Li
Dongfang Li, Baotian Hu, Qingcai Chen, Shan He
Towards Faithful Explanations for Text Classification with Robustness Improvement and Explanation Guided Training
null
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Feature attribution methods highlight the important input tokens as explanations to model predictions, which have been widely applied to deep neural networks towards trustworthy AI. However, recent works show that explanations provided by these methods face challenges of being faithful and robust. In this paper, we p...
[ { "created": "Fri, 29 Dec 2023 13:07:07 GMT", "version": "v1" } ]
2024-01-01
[ [ "Li", "Dongfang", "" ], [ "Hu", "Baotian", "" ], [ "Chen", "Qingcai", "" ], [ "He", "Shan", "" ] ]
Feature attribution methods highlight the important input tokens as explanations to model predictions, which have been widely applied to deep neural networks towards trustworthy AI. However, recent works show that explanations provided by these methods face challenges of being faithful and robust. In this paper, we pro...
2012.00190
Sven Buechel
Sven Buechel, Luise Modersohn, and Udo Hahn
Towards Label-Agnostic Emotion Embeddings
EMNLP 2021 camera-ready version
null
null
null
cs.CL cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Research in emotion analysis is scattered across different label formats (e.g., polarity types, basic emotion categories, and affective dimensions), linguistic levels (word vs. sentence vs. discourse), and, of course, (few well-resourced but much more under-resourced) natural languages and text genres (e.g., product ...
[ { "created": "Tue, 1 Dec 2020 00:54:13 GMT", "version": "v1" }, { "created": "Sat, 6 Nov 2021 20:48:40 GMT", "version": "v2" } ]
2021-11-09
[ [ "Buechel", "Sven", "" ], [ "Modersohn", "Luise", "" ], [ "Hahn", "Udo", "" ] ]
Research in emotion analysis is scattered across different label formats (e.g., polarity types, basic emotion categories, and affective dimensions), linguistic levels (word vs. sentence vs. discourse), and, of course, (few well-resourced but much more under-resourced) natural languages and text genres (e.g., product re...
2012.05001
Karim Ali
Karim M. Ali and Amr Guaily
Dual perspective method for solving the point in a polygon problem
5 pages, 4 figures, 1 table containing 6 images, 1 algorithm
null
null
null
cs.CG physics.flu-dyn
http://creativecommons.org/licenses/by/4.0/
A novel method has been introduced to solve a point inclusion in a polygon problem. The method is applicable to convex as well as non-convex polygons which are not self-intersecting. The introduced method is independent of rounding off errors, which gives it a leverage over some methods prone to this problem. A brief...
[ { "created": "Wed, 9 Dec 2020 12:16:59 GMT", "version": "v1" } ]
2020-12-10
[ [ "Ali", "Karim M.", "" ], [ "Guaily", "Amr", "" ] ]
A novel method has been introduced to solve a point inclusion in a polygon problem. The method is applicable to convex as well as non-convex polygons which are not self-intersecting. The introduced method is independent of rounding off errors, which gives it a leverage over some methods prone to this problem. A brief s...
1811.08234
Abhishek Bichhawat
Abhishek Bichhawat and Matt Fredrikson and Jean Yang and Akash Trehan
Contextual and Granular Policy Enforcement in Database-backed Applications
null
null
10.1145/3320269.3384759
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Database-backed applications rely on inlined policy checks to process users' private and confidential data in a policy-compliant manner as traditional database access control mechanisms cannot enforce complex policies. However, application bugs due to missed checks are common in such applications, which result in dat...
[ { "created": "Tue, 20 Nov 2018 13:18:47 GMT", "version": "v1" }, { "created": "Mon, 15 Jul 2019 15:23:31 GMT", "version": "v2" }, { "created": "Fri, 28 Feb 2020 15:18:41 GMT", "version": "v3" }, { "created": "Fri, 13 Mar 2020 19:09:27 GMT", "version": "v4" } ]
2020-03-17
[ [ "Bichhawat", "Abhishek", "" ], [ "Fredrikson", "Matt", "" ], [ "Yang", "Jean", "" ], [ "Trehan", "Akash", "" ] ]
Database-backed applications rely on inlined policy checks to process users' private and confidential data in a policy-compliant manner as traditional database access control mechanisms cannot enforce complex policies. However, application bugs due to missed checks are common in such applications, which result in data ...
1405.4506
Limin Wang
Xiaojiang Peng and Limin Wang and Xingxing Wang and Yu Qiao
Bag of Visual Words and Fusion Methods for Action Recognition: Comprehensive Study and Good Practice
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Video based action recognition is one of the important and challenging problems in computer vision research. Bag of Visual Words model (BoVW) with local features has become the most popular method and obtained the state-of-the-art performance on several realistic datasets, such as the HMDB51, UCF50, and UCF101. BoVW ...
[ { "created": "Sun, 18 May 2014 13:56:07 GMT", "version": "v1" } ]
2014-05-20
[ [ "Peng", "Xiaojiang", "" ], [ "Wang", "Limin", "" ], [ "Wang", "Xingxing", "" ], [ "Qiao", "Yu", "" ] ]
Video based action recognition is one of the important and challenging problems in computer vision research. Bag of Visual Words model (BoVW) with local features has become the most popular method and obtained the state-of-the-art performance on several realistic datasets, such as the HMDB51, UCF50, and UCF101. BoVW is...
2004.08364
Patrick Scheffe
Patrick Scheffe, Janis Maczijewski, Maximilian Kloock, Alexandru Kampmann, Andreas Derks, Stefan Kowalewski, Bassam Alrifaee
Networked and Autonomous Model-scale Vehicles for Experiments in Research and Education
This work has been accepted to IFAC for publication under a Creative Commons Licence CC-BY-NC-ND
IFAC-PapersOnLine Volume 53, Issue 2, 2020, Pages 17332-17337
10.1016/j.ifacol.2020.12.1821
null
cs.RO cs.MA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents the $\mathrm{\mu}$Car, a 1:18 model-scale vehicle with Ackermann steering geometry developed for experiments in networked and autonomous driving in research and education. The vehicle is open source, moderately costed and highly flexible, which allows for many applications. It is equipped with an ...
[ { "created": "Fri, 17 Apr 2020 17:39:57 GMT", "version": "v1" } ]
2021-05-04
[ [ "Scheffe", "Patrick", "" ], [ "Maczijewski", "Janis", "" ], [ "Kloock", "Maximilian", "" ], [ "Kampmann", "Alexandru", "" ], [ "Derks", "Andreas", "" ], [ "Kowalewski", "Stefan", "" ], [ "Alrifaee", "Bassam", ...
This paper presents the $\mathrm{\mu}$Car, a 1:18 model-scale vehicle with Ackermann steering geometry developed for experiments in networked and autonomous driving in research and education. The vehicle is open source, moderately costed and highly flexible, which allows for many applications. It is equipped with an in...
2209.05989
Jiacheng Yin
Jiacheng Yin, Wenwen Li, Xidong Wang, Xiaozhou Ye, Ye Ouyang
4G 5G Cell-level Multi-indicator Forecasting based on Dense-MLP
9 pages, 6 figures. Published at ITU Journal on Future and Evolving Technologies, viewable at https://www.itu.int/pub/S-JNL-VOL3.ISSUE3-2022-A03
ITU Journal on Future and Evolving Technologies, Volume 3 (2022), Issue 3 - AI and machine learning solutions in 5G and future networks, Pages 21-29
null
null
cs.NI cs.LG
http://creativecommons.org/publicdomain/zero/1.0/
With the development of 4G/5G, the rapid growth of traffic has caused a large number of cell indicators to exceed the warning threshold, and network quality has deteriorated. It is necessary for operators to solve the congestion in advance and effectively to guarantee the quality of user experience. Cell-level multi-...
[ { "created": "Fri, 22 Jul 2022 05:03:27 GMT", "version": "v1" } ]
2022-09-14
[ [ "Yin", "Jiacheng", "" ], [ "Li", "Wenwen", "" ], [ "Wang", "Xidong", "" ], [ "Ye", "Xiaozhou", "" ], [ "Ouyang", "Ye", "" ] ]
With the development of 4G/5G, the rapid growth of traffic has caused a large number of cell indicators to exceed the warning threshold, and network quality has deteriorated. It is necessary for operators to solve the congestion in advance and effectively to guarantee the quality of user experience. Cell-level multi-in...
2007.08364
Tadas Baltrusaitis
Tadas Baltrusaitis, Erroll Wood, Virginia Estellers, Charlie Hewitt, Sebastian Dziadzio, Marek Kowalski, Matthew Johnson, Thomas J. Cashman, and Jamie Shotton
A high fidelity synthetic face framework for computer vision
null
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Analysis of faces is one of the core applications of computer vision, with tasks ranging from landmark alignment, head pose estimation, expression recognition, and face recognition among others. However, building reliable methods requires time-consuming data collection and often even more time-consuming manual annota...
[ { "created": "Thu, 16 Jul 2020 14:40:28 GMT", "version": "v1" } ]
2020-07-17
[ [ "Baltrusaitis", "Tadas", "" ], [ "Wood", "Erroll", "" ], [ "Estellers", "Virginia", "" ], [ "Hewitt", "Charlie", "" ], [ "Dziadzio", "Sebastian", "" ], [ "Kowalski", "Marek", "" ], [ "Johnson", "Matthew", "...
Analysis of faces is one of the core applications of computer vision, with tasks ranging from landmark alignment, head pose estimation, expression recognition, and face recognition among others. However, building reliable methods requires time-consuming data collection and often even more time-consuming manual annotati...
2312.08898
Xiao-Shan Gao
Yifan Zhu and Lijia Yu and Xiao-Shan Gao
Detection and Defense of Unlearnable Examples
AAAI 2024
null
null
null
cs.LG cs.AI cs.CR
http://creativecommons.org/licenses/by/4.0/
Privacy preserving has become increasingly critical with the emergence of social media. Unlearnable examples have been proposed to avoid leaking personal information on the Internet by degrading generalization abilities of deep learning models. However, our study reveals that unlearnable examples are easily detectabl...
[ { "created": "Thu, 14 Dec 2023 12:59:20 GMT", "version": "v1" } ]
2023-12-15
[ [ "Zhu", "Yifan", "" ], [ "Yu", "Lijia", "" ], [ "Gao", "Xiao-Shan", "" ] ]
Privacy preserving has become increasingly critical with the emergence of social media. Unlearnable examples have been proposed to avoid leaking personal information on the Internet by degrading generalization abilities of deep learning models. However, our study reveals that unlearnable examples are easily detectable....
2103.16143
Constantinos Patsakis
Fran Casino, Nikolaos Totosis, Theodoros Apostolopoulos, Nikolaos Lykousas, and Constantinos Patsakis
Analysis and Correlation of Visual Evidence in Campaigns of Malicious Office Documents
null
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Many malware campaigns use Microsoft (MS) Office documents as droppers to download and execute their malicious payload. Such campaigns often use these documents because MS Office is installed in billions of devices and that these files allow the execution of arbitrary VBA code. Recent versions of MS Office prevent th...
[ { "created": "Tue, 30 Mar 2021 07:56:38 GMT", "version": "v1" } ]
2021-03-31
[ [ "Casino", "Fran", "" ], [ "Totosis", "Nikolaos", "" ], [ "Apostolopoulos", "Theodoros", "" ], [ "Lykousas", "Nikolaos", "" ], [ "Patsakis", "Constantinos", "" ] ]
Many malware campaigns use Microsoft (MS) Office documents as droppers to download and execute their malicious payload. Such campaigns often use these documents because MS Office is installed in billions of devices and that these files allow the execution of arbitrary VBA code. Recent versions of MS Office prevent the ...
2106.01215
Talha Bin Masood
Talha Bin Masood, Signe Sidwall Thygesen, Mathieu Linares, Alexei I. Abrikosov, Vijay Natarajan, Ingrid Hotz
Visual Analysis of Electronic Densities and Transitions in Molecules
15 pages, 9 figures, To appear in EuroVis 2021
null
null
null
cs.HC cs.CG physics.chem-ph
http://creativecommons.org/licenses/by-nc-sa/4.0/
The study of electronic transitions within a molecule connected to the absorption or emission of light is a common task in the process of the design of new materials. The transitions are complex quantum mechanical processes and a detailed analysis requires a breakdown of these processes into components that can be in...
[ { "created": "Wed, 2 Jun 2021 15:07:02 GMT", "version": "v1" } ]
2021-06-03
[ [ "Masood", "Talha Bin", "" ], [ "Thygesen", "Signe Sidwall", "" ], [ "Linares", "Mathieu", "" ], [ "Abrikosov", "Alexei I.", "" ], [ "Natarajan", "Vijay", "" ], [ "Hotz", "Ingrid", "" ] ]
The study of electronic transitions within a molecule connected to the absorption or emission of light is a common task in the process of the design of new materials. The transitions are complex quantum mechanical processes and a detailed analysis requires a breakdown of these processes into components that can be inte...
1106.5651
Loet Leydesdorff
Loet Leydesdorff
Hyperincursive Cogitata and Incursive Cogitantes: Scholarly Discourse as a Strongly Anticipatory System
arXiv admin note: substantial text overlap with arXiv:1011.3244
International Journal of Computing Anticipatory Systems, 28, 173-186
null
null
cs.DL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Strongly anticipatory systems-that is, systems which use models of themselves for their further development-and which additionally may be able to run hyperincursive routines-that is, develop only with reference to their future states-cannot exist in res extensa, but can only be envisaged in res cogitans. One needs in...
[ { "created": "Tue, 28 Jun 2011 12:56:19 GMT", "version": "v1" }, { "created": "Tue, 6 Jan 2015 06:01:18 GMT", "version": "v2" } ]
2015-01-07
[ [ "Leydesdorff", "Loet", "" ] ]
Strongly anticipatory systems-that is, systems which use models of themselves for their further development-and which additionally may be able to run hyperincursive routines-that is, develop only with reference to their future states-cannot exist in res extensa, but can only be envisaged in res cogitans. One needs incu...
1611.10212
Antonis Achilleos
Luca Aceto, Antonis Achilleos, Adrian Francalanza, Anna Ing\'olfsd\'ottir and S{\ae}var \"Orn Kjartansson
Determinizing Monitors for HML with Recursion
null
null
null
null
cs.LO cs.FL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We examine the determinization of monitors for HML with recursion. We demonstrate that every monitor is equivalent to a deterministic one, which is at most doubly exponential in size with respect to the original monitor. When monitors are described as CCS-like processes, this doubly exponential bound is optimal. When...
[ { "created": "Wed, 30 Nov 2016 15:21:01 GMT", "version": "v1" } ]
2016-12-01
[ [ "Aceto", "Luca", "" ], [ "Achilleos", "Antonis", "" ], [ "Francalanza", "Adrian", "" ], [ "Ingólfsdóttir", "Anna", "" ], [ "Kjartansson", "Sævar Örn", "" ] ]
We examine the determinization of monitors for HML with recursion. We demonstrate that every monitor is equivalent to a deterministic one, which is at most doubly exponential in size with respect to the original monitor. When monitors are described as CCS-like processes, this doubly exponential bound is optimal. When (...
2403.02010
Zhiyun Fan
Zhiyun Fan, Linhao Dong, Jun Zhang, Lu Lu, Zejun Ma
SA-SOT: Speaker-Aware Serialized Output Training for Multi-Talker ASR
null
null
null
null
cs.SD eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Multi-talker automatic speech recognition plays a crucial role in scenarios involving multi-party interactions, such as meetings and conversations. Due to its inherent complexity, this task has been receiving increasing attention. Notably, the serialized output training (SOT) stands out among various approaches becau...
[ { "created": "Mon, 4 Mar 2024 13:10:40 GMT", "version": "v1" } ]
2024-03-05
[ [ "Fan", "Zhiyun", "" ], [ "Dong", "Linhao", "" ], [ "Zhang", "Jun", "" ], [ "Lu", "Lu", "" ], [ "Ma", "Zejun", "" ] ]
Multi-talker automatic speech recognition plays a crucial role in scenarios involving multi-party interactions, such as meetings and conversations. Due to its inherent complexity, this task has been receiving increasing attention. Notably, the serialized output training (SOT) stands out among various approaches because...
2003.03486
Rodrigo de Lamare
A. Flores, R. C. de Lamare and B. Clerckx
Study of Linear Precoding and Stream Combining for Rate Splitting in MU-MIMO Systems
5 figures, 5 pages
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper develops stream combining techniques for rate-splitting (RS) multiple-antenna systems with multiple users to enhance the common rate. We propose linear combining techniques based on the Min-Max, the maximum ratio and the minimum mean-square error criteria along with Regularized Block Diagonalization (RBD) ...
[ { "created": "Sat, 7 Mar 2020 02:07:25 GMT", "version": "v1" } ]
2020-03-10
[ [ "Flores", "A.", "" ], [ "de Lamare", "R. C.", "" ], [ "Clerckx", "B.", "" ] ]
This paper develops stream combining techniques for rate-splitting (RS) multiple-antenna systems with multiple users to enhance the common rate. We propose linear combining techniques based on the Min-Max, the maximum ratio and the minimum mean-square error criteria along with Regularized Block Diagonalization (RBD) pr...
2305.11003
Chunming He
Chunming He and Kai Li and Yachao Zhang and Guoxia Xu and Longxiang Tang and Yulun Zhang and Zhenhua Guo and Xiu Li
Weakly-Supervised Concealed Object Segmentation with SAM-based Pseudo Labeling and Multi-scale Feature Grouping
12 pages, 5 figures
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Weakly-Supervised Concealed Object Segmentation (WSCOS) aims to segment objects well blended with surrounding environments using sparsely-annotated data for model training. It remains a challenging task since (1) it is hard to distinguish concealed objects from the background due to the intrinsic similarity and (2) t...
[ { "created": "Thu, 18 May 2023 14:31:34 GMT", "version": "v1" } ]
2023-05-19
[ [ "He", "Chunming", "" ], [ "Li", "Kai", "" ], [ "Zhang", "Yachao", "" ], [ "Xu", "Guoxia", "" ], [ "Tang", "Longxiang", "" ], [ "Zhang", "Yulun", "" ], [ "Guo", "Zhenhua", "" ], [ "Li", "Xiu", ...
Weakly-Supervised Concealed Object Segmentation (WSCOS) aims to segment objects well blended with surrounding environments using sparsely-annotated data for model training. It remains a challenging task since (1) it is hard to distinguish concealed objects from the background due to the intrinsic similarity and (2) the...
2005.11264
Konstantina Bereta
Konstantina Bereta, George Papadakis, Manolis Koubarakis
OBDA for the Web: Creating Virtual RDF Graphs On Top of Web Data Sources
12 pages, 6 figures
null
null
null
cs.DB
http://creativecommons.org/licenses/by/4.0/
Due to Variety, Web data come in many different structures and formats, with HTML tables and REST APIs (e.g., social media APIs) being among the most popular ones. A big subset of Web data is also characterised by Velocity, as data gets frequently updated so that consumers can obtain the most up-to-date version of th...
[ { "created": "Fri, 22 May 2020 16:29:25 GMT", "version": "v1" } ]
2020-05-25
[ [ "Bereta", "Konstantina", "" ], [ "Papadakis", "George", "" ], [ "Koubarakis", "Manolis", "" ] ]
Due to Variety, Web data come in many different structures and formats, with HTML tables and REST APIs (e.g., social media APIs) being among the most popular ones. A big subset of Web data is also characterised by Velocity, as data gets frequently updated so that consumers can obtain the most up-to-date version of the ...
1104.5069
Tuan Nguyen
Tuan Nguyen and Subbarao Kambhampati and Minh Do
Synthesizing Robust Plans under Incomplete Domain Models
null
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Most current planners assume complete domain models and focus on generating correct plans. Unfortunately, domain modeling is a laborious and error-prone task. While domain experts cannot guarantee completeness, often they are able to circumscribe the incompleteness of the model by providing annotations as to which pa...
[ { "created": "Wed, 27 Apr 2011 04:05:19 GMT", "version": "v1" } ]
2011-04-28
[ [ "Nguyen", "Tuan", "" ], [ "Kambhampati", "Subbarao", "" ], [ "Do", "Minh", "" ] ]
Most current planners assume complete domain models and focus on generating correct plans. Unfortunately, domain modeling is a laborious and error-prone task. While domain experts cannot guarantee completeness, often they are able to circumscribe the incompleteness of the model by providing annotations as to which part...
2105.07366
Stephen MacDonell
Solomon Mensah, Jacky Keung, Stephen G. MacDonell, Michael Franklin Bosu, and Kwabena Ebo Bennin
Investigating the Significance of the Bellwether Effect to Improve Software Effort Prediction: Further Empirical Study
Journal paper, 23 pages, 8 figures, 9 tables
IEEE Transactions on Reliability 67(3)(2018), pp.1176-1198
10.1109/TR.2018.2839718
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Context: In addressing how best to estimate how much effort is required to develop software, a recent study found that using exemplary and recently completed projects [forming Bellwether moving windows (BMW)] in software effort prediction (SEP) models leads to relatively improved accuracy. More studies need to be con...
[ { "created": "Sun, 16 May 2021 06:15:30 GMT", "version": "v1" } ]
2021-05-18
[ [ "Mensah", "Solomon", "" ], [ "Keung", "Jacky", "" ], [ "MacDonell", "Stephen G.", "" ], [ "Bosu", "Michael Franklin", "" ], [ "Bennin", "Kwabena Ebo", "" ] ]
Context: In addressing how best to estimate how much effort is required to develop software, a recent study found that using exemplary and recently completed projects [forming Bellwether moving windows (BMW)] in software effort prediction (SEP) models leads to relatively improved accuracy. More studies need to be condu...
2111.15020
Wensheng Gan
Gengsen Huang, Wensheng Gan, Jian Weng, and Philip S. Yu
US-Rule: Discovering Utility-driven Sequential Rules
Preprint. 3 figures, 9 tables
null
null
null
cs.DB cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Utility-driven mining is an important task in data science and has many applications in real life. High utility sequential pattern mining (HUSPM) is one kind of utility-driven mining. HUSPM aims to discover all sequential patterns with high utility. However, the existing algorithms of HUSPM can not provide an accurat...
[ { "created": "Mon, 29 Nov 2021 23:38:28 GMT", "version": "v1" } ]
2021-12-01
[ [ "Huang", "Gengsen", "" ], [ "Gan", "Wensheng", "" ], [ "Weng", "Jian", "" ], [ "Yu", "Philip S.", "" ] ]
Utility-driven mining is an important task in data science and has many applications in real life. High utility sequential pattern mining (HUSPM) is one kind of utility-driven mining. HUSPM aims to discover all sequential patterns with high utility. However, the existing algorithms of HUSPM can not provide an accurate ...
2004.07886
Uthaipon Tantipongpipat
Vivek Madan, Aleksandar Nikolov, Mohit Singh, Uthaipon Tantipongpipat
Maximizing Determinants under Matroid Constraints
null
null
null
null
cs.DS cs.DM math.CO math.OC stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Given vectors $v_1,\dots,v_n\in\mathbb{R}^d$ and a matroid $M=([n],I)$, we study the problem of finding a basis $S$ of $M$ such that $\det(\sum_{i \in S}v_i v_i^\top)$ is maximized. This problem appears in a diverse set of areas such as experimental design, fair allocation of goods, network design, and machine learni...
[ { "created": "Thu, 16 Apr 2020 19:16:38 GMT", "version": "v1" } ]
2020-04-20
[ [ "Madan", "Vivek", "" ], [ "Nikolov", "Aleksandar", "" ], [ "Singh", "Mohit", "" ], [ "Tantipongpipat", "Uthaipon", "" ] ]
Given vectors $v_1,\dots,v_n\in\mathbb{R}^d$ and a matroid $M=([n],I)$, we study the problem of finding a basis $S$ of $M$ such that $\det(\sum_{i \in S}v_i v_i^\top)$ is maximized. This problem appears in a diverse set of areas such as experimental design, fair allocation of goods, network design, and machine learning...
2104.05215
Xiangde Luo
Xiangde Luo, Tao Song, Guotai Wang, Jieneng Chen, Yinan Chen, Kang Li, Dimitris N. Metaxas and Shaoting Zhang
SCPM-Net: An Anchor-free 3D Lung Nodule Detection Network using Sphere Representation and Center Points Matching
accept to Medical Image Analysis
null
10.1016/j.media.2021.102287
null
cs.CV
http://creativecommons.org/licenses/by-nc-sa/4.0/
Lung nodule detection from 3D Computed Tomography scans plays a vital role in efficient lung cancer screening. Despite the SOTA performance obtained by recent anchor-based detectors using CNNs for this task, they require predetermined anchor parameters such as the size, number, and aspect ratio of anchors, and have l...
[ { "created": "Mon, 12 Apr 2021 05:51:29 GMT", "version": "v1" }, { "created": "Thu, 6 Jan 2022 09:13:15 GMT", "version": "v2" } ]
2022-01-07
[ [ "Luo", "Xiangde", "" ], [ "Song", "Tao", "" ], [ "Wang", "Guotai", "" ], [ "Chen", "Jieneng", "" ], [ "Chen", "Yinan", "" ], [ "Li", "Kang", "" ], [ "Metaxas", "Dimitris N.", "" ], [ "Zhang", "S...
Lung nodule detection from 3D Computed Tomography scans plays a vital role in efficient lung cancer screening. Despite the SOTA performance obtained by recent anchor-based detectors using CNNs for this task, they require predetermined anchor parameters such as the size, number, and aspect ratio of anchors, and have lim...
1011.5606
Dan-Cristian Tomozei
Jean-Yves Le Boudec, Dan-Cristian Tomozei
Stability of a Stochastic Model for Demand-Response
Published in Stochastic Systems journal
null
10.1214/11-SSY048
null
cs.SY math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study the stability of a Markovian model of electricity production and consumption that incorporates production volatility due to renewables and uncertainty about actual demand versus planned production. We assume that the energy producer targets a fixed energy reserve, subject to ramp-up and ramp-down constraints...
[ { "created": "Thu, 25 Nov 2010 12:18:55 GMT", "version": "v1" }, { "created": "Mon, 25 Jul 2011 16:51:52 GMT", "version": "v2" }, { "created": "Mon, 22 Apr 2013 09:47:19 GMT", "version": "v3" } ]
2013-04-23
[ [ "Boudec", "Jean-Yves Le", "" ], [ "Tomozei", "Dan-Cristian", "" ] ]
We study the stability of a Markovian model of electricity production and consumption that incorporates production volatility due to renewables and uncertainty about actual demand versus planned production. We assume that the energy producer targets a fixed energy reserve, subject to ramp-up and ramp-down constraints, ...
2011.04723
Yen-Yu Chang
Yen-Yu Chang, Pan Li, Rok Sosic, M. H. Afifi, Marco Schweighauser, Jure Leskovec
F-FADE: Frequency Factorization for Anomaly Detection in Edge Streams
WSDM 2021
null
null
null
cs.SI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Edge streams are commonly used to capture interactions in dynamic networks, such as email, social, or computer networks. The problem of detecting anomalies or rare events in edge streams has a wide range of applications. However, it presents many challenges due to lack of labels, a highly dynamic nature of interactio...
[ { "created": "Mon, 9 Nov 2020 19:55:40 GMT", "version": "v1" }, { "created": "Fri, 5 Feb 2021 13:11:09 GMT", "version": "v2" } ]
2021-02-08
[ [ "Chang", "Yen-Yu", "" ], [ "Li", "Pan", "" ], [ "Sosic", "Rok", "" ], [ "Afifi", "M. H.", "" ], [ "Schweighauser", "Marco", "" ], [ "Leskovec", "Jure", "" ] ]
Edge streams are commonly used to capture interactions in dynamic networks, such as email, social, or computer networks. The problem of detecting anomalies or rare events in edge streams has a wide range of applications. However, it presents many challenges due to lack of labels, a highly dynamic nature of interactions...
1904.03735
Mahmudur Rahman Khan
Mahmudur Khan and Jacob Chakareski
Visible Light Communication for Next Generation Untethered Virtual Reality Systems
Accepted at IEEE International Conference on Communications Workshop on Optical Wireless Communications, Shanghai, China, May 2019
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Virtual and augmented reality (VR/AR) systems are emerging technologies requiring data rates of multiple Gbps. Existing high quality VR headsets require connections through HDMI cables to a computer rendering rich graphic contents to meet the extremely high data transfer rate requirement. Such a cable connection limi...
[ { "created": "Sun, 7 Apr 2019 20:24:55 GMT", "version": "v1" } ]
2019-04-09
[ [ "Khan", "Mahmudur", "" ], [ "Chakareski", "Jacob", "" ] ]
Virtual and augmented reality (VR/AR) systems are emerging technologies requiring data rates of multiple Gbps. Existing high quality VR headsets require connections through HDMI cables to a computer rendering rich graphic contents to meet the extremely high data transfer rate requirement. Such a cable connection limits...
2109.05261
Shengyu Zhang
Shengyu Zhang, Dong Yao, Zhou Zhao, Tat-seng Chua, Fei Wu
CauseRec: Counterfactual User Sequence Synthesis for Sequential Recommendation
Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2021)
null
10.1145/3404835.3462908
null
cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Learning user representations based on historical behaviors lies at the core of modern recommender systems. Recent advances in sequential recommenders have convincingly demonstrated high capability in extracting effective user representations from the given behavior sequences. Despite significant progress, we argue t...
[ { "created": "Sat, 11 Sep 2021 11:41:07 GMT", "version": "v1" } ]
2021-09-14
[ [ "Zhang", "Shengyu", "" ], [ "Yao", "Dong", "" ], [ "Zhao", "Zhou", "" ], [ "Chua", "Tat-seng", "" ], [ "Wu", "Fei", "" ] ]
Learning user representations based on historical behaviors lies at the core of modern recommender systems. Recent advances in sequential recommenders have convincingly demonstrated high capability in extracting effective user representations from the given behavior sequences. Despite significant progress, we argue tha...
1711.02679
Volodymyr Kuleshov
Volodymyr Kuleshov, Stefano Ermon
Neural Variational Inference and Learning in Undirected Graphical Models
Appearing in Proceedings of the 31st Conference on Neural Information Processing Systems (NIPS) 2017, Long Beach, CA, USA
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Many problems in machine learning are naturally expressed in the language of undirected graphical models. Here, we propose black-box learning and inference algorithms for undirected models that optimize a variational approximation to the log-likelihood of the model. Central to our approach is an upper bound on the lo...
[ { "created": "Tue, 7 Nov 2017 19:00:20 GMT", "version": "v1" }, { "created": "Thu, 16 Nov 2017 21:33:11 GMT", "version": "v2" } ]
2017-11-20
[ [ "Kuleshov", "Volodymyr", "" ], [ "Ermon", "Stefano", "" ] ]
Many problems in machine learning are naturally expressed in the language of undirected graphical models. Here, we propose black-box learning and inference algorithms for undirected models that optimize a variational approximation to the log-likelihood of the model. Central to our approach is an upper bound on the log-...
2003.00336
Shrinu Kushagra
Shrinu Kushagra
Three-dimensional matching is NP-Hard
null
null
null
null
cs.CC
http://creativecommons.org/publicdomain/zero/1.0/
The standard proof of NP-Hardness of 3DM provides a power-$4$ reduction of 3SAT to 3DM. In this note, we provide a linear-time reduction. Under the exponential time hypothesis, this reduction improves the runtime lower bound from $2^{o(\sqrt[4]{m})}$ (under the standard reduction) to $2^{o(m)}$.
[ { "created": "Sat, 29 Feb 2020 19:51:55 GMT", "version": "v1" } ]
2020-03-03
[ [ "Kushagra", "Shrinu", "" ] ]
The standard proof of NP-Hardness of 3DM provides a power-$4$ reduction of 3SAT to 3DM. In this note, we provide a linear-time reduction. Under the exponential time hypothesis, this reduction improves the runtime lower bound from $2^{o(\sqrt[4]{m})}$ (under the standard reduction) to $2^{o(m)}$.
cs/0205052
Laemmel
Vasu Alagar and Ralf Laemmel
Three-Tiered Specification of Micro-Architectures
null
null
null
null
cs.SE cs.PL
null
A three-tiered specification approach is developed to formally specify collections of collaborating objects, say micro-architectures. (i) The structural properties to be maintained in the collaboration are specified in the lowest tier. (ii) The behaviour of the object methods in the classes is specified in the middle...
[ { "created": "Sun, 19 May 2002 14:46:34 GMT", "version": "v1" } ]
2007-05-23
[ [ "Alagar", "Vasu", "" ], [ "Laemmel", "Ralf", "" ] ]
A three-tiered specification approach is developed to formally specify collections of collaborating objects, say micro-architectures. (i) The structural properties to be maintained in the collaboration are specified in the lowest tier. (ii) The behaviour of the object methods in the classes is specified in the middle t...
2204.14117
Yusuke Ohtsubo
Yusuke Ohtsubo, Takuto Sato, Hirohiko Sagawa
A Comparative Study of Meter Detection Methods for Automated Infrastructure Inspection
2 pages, in Japanese language
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
In order to read meter values from a camera on an autonomous inspection robot with positional errors, it is necessary to detect meter regions from the image. In this study, we developed shape-based, texture-based, and background information-based methods as meter area detection techniques and compared their effective...
[ { "created": "Sun, 24 Apr 2022 13:59:57 GMT", "version": "v1" } ]
2022-05-02
[ [ "Ohtsubo", "Yusuke", "" ], [ "Sato", "Takuto", "" ], [ "Sagawa", "Hirohiko", "" ] ]
In order to read meter values from a camera on an autonomous inspection robot with positional errors, it is necessary to detect meter regions from the image. In this study, we developed shape-based, texture-based, and background information-based methods as meter area detection techniques and compared their effectivene...
1908.11341
Sergei O. Kuznetsov
Sergei O. Kuznetsov
Ordered Sets for Data Analysis
null
null
null
null
cs.LO cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This book dwells on mathematical and algorithmic issues of data analysis based on generality order of descriptions and respective precision. To speak of these topics correctly, we have to go some way getting acquainted with the important notions of relation and order theory. On the one hand, data often have a complex...
[ { "created": "Tue, 27 Aug 2019 18:01:13 GMT", "version": "v1" } ]
2019-08-30
[ [ "Kuznetsov", "Sergei O.", "" ] ]
This book dwells on mathematical and algorithmic issues of data analysis based on generality order of descriptions and respective precision. To speak of these topics correctly, we have to go some way getting acquainted with the important notions of relation and order theory. On the one hand, data often have a complex s...
2407.01031
Dan Peng
Dan Peng, Zhihui Fu, Jun Wang
PocketLLM: Enabling On-Device Fine-Tuning for Personalized LLMs
Accepted to the ACL 2024 Workshop on Privacy in Natural Language Processing (PrivateNLP)
null
null
null
cs.LG cs.CL
http://creativecommons.org/licenses/by-nc-sa/4.0/
Recent advancements in large language models (LLMs) have indeed showcased their impressive capabilities. On mobile devices, the wealth of valuable, non-public data generated daily holds great promise for locally fine-tuning personalized LLMs, while maintaining privacy through on-device processing. However, the constr...
[ { "created": "Mon, 1 Jul 2024 07:26:56 GMT", "version": "v1" } ]
2024-07-02
[ [ "Peng", "Dan", "" ], [ "Fu", "Zhihui", "" ], [ "Wang", "Jun", "" ] ]
Recent advancements in large language models (LLMs) have indeed showcased their impressive capabilities. On mobile devices, the wealth of valuable, non-public data generated daily holds great promise for locally fine-tuning personalized LLMs, while maintaining privacy through on-device processing. However, the constrai...
2009.00506
Oliver Horst
Oliver Horst and Johannes Wiesb\"ock and Raphael Wild and Uwe Baumgarten
Quantifying the Latency and Possible Throughput of External Interrupts on Cyber-Physical Systems
Appeared in proceedings of the 3rd Workshop on Benchmarking Cyber-Physical Systems and Internet of Things (CPS-IoTBench) held in conjunction with the 26th Annual International Conference on Mobile Computing and Networking (MobiCom)
null
null
null
cs.OS
http://creativecommons.org/licenses/by-sa/4.0/
An important characteristic of cyber-physical systems is their capability to respond, in-time, to events from their physical environment. However, to the best of our knowledge there exists no benchmark for assessing and comparing the interrupt handling performance of different software stacks. Hence, we present a fle...
[ { "created": "Tue, 1 Sep 2020 15:08:31 GMT", "version": "v1" } ]
2020-09-02
[ [ "Horst", "Oliver", "" ], [ "Wiesböck", "Johannes", "" ], [ "Wild", "Raphael", "" ], [ "Baumgarten", "Uwe", "" ] ]
An important characteristic of cyber-physical systems is their capability to respond, in-time, to events from their physical environment. However, to the best of our knowledge there exists no benchmark for assessing and comparing the interrupt handling performance of different software stacks. Hence, we present a flexi...
2308.10248
Gavin Leech
Alexander Matt Turner, Lisa Thiergart, Gavin Leech, David Udell, Juan J. Vazquez, Ulisse Mini, Monte MacDiarmid
Activation Addition: Steering Language Models Without Optimization
null
null
null
null
cs.CL cs.LG
http://creativecommons.org/licenses/by/4.0/
Reliably controlling the behavior of large language models is a pressing open problem. Existing methods include supervised finetuning, reinforcement learning from human feedback, prompt engineering and guided decoding. We instead investigate activation engineering: modifying activations at inference-time to predictab...
[ { "created": "Sun, 20 Aug 2023 12:21:05 GMT", "version": "v1" }, { "created": "Fri, 1 Sep 2023 17:07:29 GMT", "version": "v2" }, { "created": "Mon, 13 Nov 2023 14:05:13 GMT", "version": "v3" }, { "created": "Tue, 4 Jun 2024 10:08:39 GMT", "version": "v4" } ]
2024-06-05
[ [ "Turner", "Alexander Matt", "" ], [ "Thiergart", "Lisa", "" ], [ "Leech", "Gavin", "" ], [ "Udell", "David", "" ], [ "Vazquez", "Juan J.", "" ], [ "Mini", "Ulisse", "" ], [ "MacDiarmid", "Monte", "" ] ]
Reliably controlling the behavior of large language models is a pressing open problem. Existing methods include supervised finetuning, reinforcement learning from human feedback, prompt engineering and guided decoding. We instead investigate activation engineering: modifying activations at inference-time to predictably...
1806.06396
Qingqing Wu
Miao Cui, Guangchi Zhang, Qingqing Wu, and Derrick Wing Kwan Ng
Robust Trajectory and Transmit Power Design for Secure UAV Communications
Accepted by IEEE Transactions on Vehicular Technology, 2018
null
null
null
cs.IT math.DS math.IT math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Unmanned aerial vehicles (UAVs) are anticipated to be widely deployed in future wireless communications, due to their advantages of high mobility and easy deployment. However, the broadcast nature of air-to-ground line-of-sight wireless chan- nels brings a new challenge to the information security of UAV- ground comm...
[ { "created": "Sun, 17 Jun 2018 15:44:20 GMT", "version": "v1" } ]
2018-06-19
[ [ "Cui", "Miao", "" ], [ "Zhang", "Guangchi", "" ], [ "Wu", "Qingqing", "" ], [ "Ng", "Derrick Wing Kwan", "" ] ]
Unmanned aerial vehicles (UAVs) are anticipated to be widely deployed in future wireless communications, due to their advantages of high mobility and easy deployment. However, the broadcast nature of air-to-ground line-of-sight wireless chan- nels brings a new challenge to the information security of UAV- ground commun...
2303.12364
Maurice Rupp
Maurice Rupp, Oriane Peter, Thirupathi Pattipaka
ExBEHRT: Extended Transformer for Electronic Health Records to Predict Disease Subtypes & Progressions
ICLR 2023 Workshop on Trustworthy Machine Learning for Healthcare (Website: https://sites.google.com/view/tml4h2023/accepted-papers )
Lecture Notes in Computer Science, vol 13932. Springer, Cham 2023
10.1007/978-3-031-39539-0_7
null
cs.LG cs.AI
http://creativecommons.org/licenses/by/4.0/
In this study, we introduce ExBEHRT, an extended version of BEHRT (BERT applied to electronic health records), and apply different algorithms to interpret its results. While BEHRT considers only diagnoses and patient age, we extend the feature space to several multimodal records, namely demographics, clinical charact...
[ { "created": "Wed, 22 Mar 2023 08:03:27 GMT", "version": "v1" }, { "created": "Tue, 11 Apr 2023 07:00:49 GMT", "version": "v2" }, { "created": "Fri, 11 Aug 2023 14:59:36 GMT", "version": "v3" } ]
2023-08-14
[ [ "Rupp", "Maurice", "" ], [ "Peter", "Oriane", "" ], [ "Pattipaka", "Thirupathi", "" ] ]
In this study, we introduce ExBEHRT, an extended version of BEHRT (BERT applied to electronic health records), and apply different algorithms to interpret its results. While BEHRT considers only diagnoses and patient age, we extend the feature space to several multimodal records, namely demographics, clinical character...
2107.02434
Shunquan Tan
Long Zhuo and Shunquan Tan and Bin Li and Jiwu Huang
Self-Adversarial Training incorporating Forgery Attention for Image Forgery Localization
accepted by TIFS
null
10.1109/TIFS.2022.3152362
null
cs.CV cs.MM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Image editing techniques enable people to modify the content of an image without leaving visual traces and thus may cause serious security risks. Hence the detection and localization of these forgeries become quite necessary and challenging. Furthermore, unlike other tasks with extensive data, there is usually a lack...
[ { "created": "Tue, 6 Jul 2021 07:20:08 GMT", "version": "v1" }, { "created": "Thu, 3 Feb 2022 04:14:46 GMT", "version": "v2" } ]
2022-02-21
[ [ "Zhuo", "Long", "" ], [ "Tan", "Shunquan", "" ], [ "Li", "Bin", "" ], [ "Huang", "Jiwu", "" ] ]
Image editing techniques enable people to modify the content of an image without leaving visual traces and thus may cause serious security risks. Hence the detection and localization of these forgeries become quite necessary and challenging. Furthermore, unlike other tasks with extensive data, there is usually a lack o...
2403.02936
Mahdi Taheri
Mahdi Taheri, Natalia Cherezova, Samira Nazari, Ahsan Rafiq, Ali Azarpeyvand, Tara Ghasempouri, Masoud Daneshtalab, Jaan Raik and Maksim Jenihhin
AdAM: Adaptive Fault-Tolerant Approximate Multiplier for Edge DNN Accelerators
null
null
null
null
cs.AI cs.AR cs.LG
http://creativecommons.org/licenses/by-nc-nd/4.0/
In this paper, we propose an architecture of a novel adaptive fault-tolerant approximate multiplier tailored for ASIC-based DNN accelerators.
[ { "created": "Tue, 5 Mar 2024 13:03:31 GMT", "version": "v1" } ]
2024-03-06
[ [ "Taheri", "Mahdi", "" ], [ "Cherezova", "Natalia", "" ], [ "Nazari", "Samira", "" ], [ "Rafiq", "Ahsan", "" ], [ "Azarpeyvand", "Ali", "" ], [ "Ghasempouri", "Tara", "" ], [ "Daneshtalab", "Masoud", "" ],...
In this paper, we propose an architecture of a novel adaptive fault-tolerant approximate multiplier tailored for ASIC-based DNN accelerators.
2210.15615
Nikita Moghe
Chantal Amrhein and Nikita Moghe and Liane Guillou
ACES: Translation Accuracy Challenge Sets for Evaluating Machine Translation Metrics
preprint for WMT 2022 with updated tables
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
As machine translation (MT) metrics improve their correlation with human judgement every year, it is crucial to understand the limitations of such metrics at the segment level. Specifically, it is important to investigate metric behaviour when facing accuracy errors in MT because these can have dangerous consequences...
[ { "created": "Thu, 27 Oct 2022 16:59:02 GMT", "version": "v1" }, { "created": "Tue, 6 Dec 2022 09:45:29 GMT", "version": "v2" } ]
2022-12-07
[ [ "Amrhein", "Chantal", "" ], [ "Moghe", "Nikita", "" ], [ "Guillou", "Liane", "" ] ]
As machine translation (MT) metrics improve their correlation with human judgement every year, it is crucial to understand the limitations of such metrics at the segment level. Specifically, it is important to investigate metric behaviour when facing accuracy errors in MT because these can have dangerous consequences i...
1701.08517
Pieter Leyman
Pieter Leyman, San Tu Pham, Patrick De Causmaecker
The Intermittent Traveling Salesman Problem with Different Temperature Profiles: Greedy or not?
null
null
null
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this research, we discuss the intermittent traveling salesman problem (ITSP), which extends the traditional traveling salesman problem (TSP) by imposing temperature restrictions on each node. These additional constraints limit the maximum allowable visit time per node, and result in multiple visits for each node w...
[ { "created": "Mon, 30 Jan 2017 09:22:08 GMT", "version": "v1" } ]
2017-01-31
[ [ "Leyman", "Pieter", "" ], [ "Pham", "San Tu", "" ], [ "De Causmaecker", "Patrick", "" ] ]
In this research, we discuss the intermittent traveling salesman problem (ITSP), which extends the traditional traveling salesman problem (TSP) by imposing temperature restrictions on each node. These additional constraints limit the maximum allowable visit time per node, and result in multiple visits for each node whi...
1204.3372
Anton Salikhmetov
Anton Salikhmetov
Blind graph rewriting systems
4 pages
null
null
null
cs.LO cs.FL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider a simple (probably, the simplest) structure for random access memory. This structure can be used to construct a universal system with nearly void processor, namely, we demonstrate that the processor of such a system may have empty instruction set, in a more strong manner than the existing ZISC (zero instr...
[ { "created": "Mon, 16 Apr 2012 07:02:25 GMT", "version": "v1" } ]
2012-04-17
[ [ "Salikhmetov", "Anton", "" ] ]
We consider a simple (probably, the simplest) structure for random access memory. This structure can be used to construct a universal system with nearly void processor, namely, we demonstrate that the processor of such a system may have empty instruction set, in a more strong manner than the existing ZISC (zero instruc...
2206.02511
Yang Li
Yang Li, Yu Shen, Huaijun Jiang, Tianyi Bai, Wentao Zhang, Ce Zhang and Bin Cui
Transfer Learning based Search Space Design for Hyperparameter Tuning
9 pages and 2 extra pages for appendix
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022)
10.1145/3534678.3539369
null
cs.LG cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The tuning of hyperparameters becomes increasingly important as machine learning (ML) models have been extensively applied in data mining applications. Among various approaches, Bayesian optimization (BO) is a successful methodology to tune hyper-parameters automatically. While traditional methods optimize each tunin...
[ { "created": "Mon, 6 Jun 2022 11:48:58 GMT", "version": "v1" } ]
2022-06-07
[ [ "Li", "Yang", "" ], [ "Shen", "Yu", "" ], [ "Jiang", "Huaijun", "" ], [ "Bai", "Tianyi", "" ], [ "Zhang", "Wentao", "" ], [ "Zhang", "Ce", "" ], [ "Cui", "Bin", "" ] ]
The tuning of hyperparameters becomes increasingly important as machine learning (ML) models have been extensively applied in data mining applications. Among various approaches, Bayesian optimization (BO) is a successful methodology to tune hyper-parameters automatically. While traditional methods optimize each tuning ...
1004.3555
Vishal Goyal
Sukhvinder S. Bamber, Ajay K. Sharma
Comparative Performance Investigations of different scenarios for 802.15.4 WPAN
International Journal of Computer Science Issues online at http://ijcsi.org/articles/Comparative-Performance-Investigations-of-different-scenarios-for-802-15-4-WPAN.php
IJCSI, Volume 7, Issue 2, March 2010
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper investigates the performance of WPAN based on various topological scenarios like: cluster, star and ring. The comparative results have been reported for the performance metrics like: Throughput, Traffic sent, Traffic received and Packets dropped. Cluster topology is best in comparison with star and ring to...
[ { "created": "Tue, 20 Apr 2010 20:10:49 GMT", "version": "v1" } ]
2010-04-22
[ [ "Bamber", "Sukhvinder S.", "" ], [ "Sharma", "Ajay K.", "" ] ]
This paper investigates the performance of WPAN based on various topological scenarios like: cluster, star and ring. The comparative results have been reported for the performance metrics like: Throughput, Traffic sent, Traffic received and Packets dropped. Cluster topology is best in comparison with star and ring topo...
1504.07597
Nicolas Turenne
Nicolas Turenne
Duplicate Detection with Efficient Language Models for Automatic Bibliographic Heterogeneous Data Integration
null
null
null
null
cs.DB
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a new method to detect duplicates used to merge different bibliographic record corpora with the help of lexical and social information. As we show, a trivial key is not available to delete useless documents. Merging heteregeneous document databases to get a maximum of information can be of interest. In our...
[ { "created": "Mon, 27 Apr 2015 11:53:01 GMT", "version": "v1" } ]
2015-04-29
[ [ "Turenne", "Nicolas", "" ] ]
We present a new method to detect duplicates used to merge different bibliographic record corpora with the help of lexical and social information. As we show, a trivial key is not available to delete useless documents. Merging heteregeneous document databases to get a maximum of information can be of interest. In our c...
1812.05195
Vaibhav Saini
Vaibhav Saini, Farima Farmahinifarahani, Yadong Lu, Di Yang, Pedro Martins, Hitesh Sajnani, Pierre Baldi, Cristina Lopes
Towards Automating Precision Studies of Clone Detectors
Accepted to be published in the 41st ACM/IEEE International Conference on Software Engineering
Proceeding 2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE)
10.1109/ICSE.2019.00023
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Current research in clone detection suffers from poor ecosystems for evaluating precision of clone detection tools. Corpora of labeled clones are scarce and incomplete, making evaluation labor intensive and idiosyncratic, and limiting inter tool comparison. Precision-assessment tools are simply lacking. We present a ...
[ { "created": "Wed, 12 Dec 2018 23:28:59 GMT", "version": "v1" }, { "created": "Fri, 14 Dec 2018 02:36:31 GMT", "version": "v2" } ]
2019-05-30
[ [ "Saini", "Vaibhav", "" ], [ "Farmahinifarahani", "Farima", "" ], [ "Lu", "Yadong", "" ], [ "Yang", "Di", "" ], [ "Martins", "Pedro", "" ], [ "Sajnani", "Hitesh", "" ], [ "Baldi", "Pierre", "" ], [ "...
Current research in clone detection suffers from poor ecosystems for evaluating precision of clone detection tools. Corpora of labeled clones are scarce and incomplete, making evaluation labor intensive and idiosyncratic, and limiting inter tool comparison. Precision-assessment tools are simply lacking. We present a se...
2309.06672
Zhengyang Chen
Zhengyang Chen, Bing Han, Shuai Wang and Yanmin Qian
Attention-based Encoder-Decoder End-to-End Neural Diarization with Embedding Enhancer
IEEE/ACM Transactions on Audio Speech and Language Processing Under Review
null
null
null
cs.SD eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep neural network-based systems have significantly improved the performance of speaker diarization tasks. However, end-to-end neural diarization (EEND) systems often struggle to generalize to scenarios with an unseen number of speakers, while target speaker voice activity detection (TS-VAD) systems tend to be overl...
[ { "created": "Wed, 13 Sep 2023 02:17:13 GMT", "version": "v1" } ]
2023-09-14
[ [ "Chen", "Zhengyang", "" ], [ "Han", "Bing", "" ], [ "Wang", "Shuai", "" ], [ "Qian", "Yanmin", "" ] ]
Deep neural network-based systems have significantly improved the performance of speaker diarization tasks. However, end-to-end neural diarization (EEND) systems often struggle to generalize to scenarios with an unseen number of speakers, while target speaker voice activity detection (TS-VAD) systems tend to be overly ...
1703.03262
Ching-Hua Yu
Ching-Hua Yu
Does Nash Envy Immunity
null
null
null
null
cs.GT cs.CC cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The most popular stability notion in games should be Nash equilibrium under the rationality of players who maximize their own payoff individually. In contrast, in many scenarios, players can be (partly) irrational with some unpredictable factors. Hence a strategy profile can be more robust if it is resilient against ...
[ { "created": "Thu, 9 Mar 2017 13:45:45 GMT", "version": "v1" } ]
2017-03-10
[ [ "Yu", "Ching-Hua", "" ] ]
The most popular stability notion in games should be Nash equilibrium under the rationality of players who maximize their own payoff individually. In contrast, in many scenarios, players can be (partly) irrational with some unpredictable factors. Hence a strategy profile can be more robust if it is resilient against ce...
2312.15820
Qi Chen
Qi Chen, Dileepa Pitawela, Chongyang Zhao, Gengze Zhou, Hsiang-Ting Chen, Qi Wu
WebVLN: Vision-and-Language Navigation on Websites
Accepted by AAAI2024
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Vision-and-Language Navigation (VLN) task aims to enable AI agents to accurately understand and follow natural language instructions to navigate through real-world environments, ultimately reaching specific target locations. We recognise a promising opportunity to extend VLN to a comparable navigation task that holds...
[ { "created": "Mon, 25 Dec 2023 22:13:26 GMT", "version": "v1" } ]
2023-12-27
[ [ "Chen", "Qi", "" ], [ "Pitawela", "Dileepa", "" ], [ "Zhao", "Chongyang", "" ], [ "Zhou", "Gengze", "" ], [ "Chen", "Hsiang-Ting", "" ], [ "Wu", "Qi", "" ] ]
Vision-and-Language Navigation (VLN) task aims to enable AI agents to accurately understand and follow natural language instructions to navigate through real-world environments, ultimately reaching specific target locations. We recognise a promising opportunity to extend VLN to a comparable navigation task that holds s...
2001.01861
Subru Krishnan
Mohammad Hossein Namaki, Avrilia Floratou, Fotis Psallidas, Subru Krishnan, Ashvin Agrawal, Yinghui Wu, Yiwen Zhu and Markus Weimer
Vamsa: Automated Provenance Tracking in Data Science Scripts
null
null
10.1145/3394486.3403205
null
cs.LG cs.DC stat.ML
http://creativecommons.org/licenses/by-nc-sa/4.0/
There has recently been a lot of ongoing research in the areas of fairness, bias and explainability of machine learning (ML) models due to the self-evident or regulatory requirements of various ML applications. We make the following observation: All of these approaches require a robust understanding of the relationsh...
[ { "created": "Tue, 7 Jan 2020 02:39:02 GMT", "version": "v1" }, { "created": "Thu, 30 Jul 2020 16:58:22 GMT", "version": "v2" } ]
2020-07-31
[ [ "Namaki", "Mohammad Hossein", "" ], [ "Floratou", "Avrilia", "" ], [ "Psallidas", "Fotis", "" ], [ "Krishnan", "Subru", "" ], [ "Agrawal", "Ashvin", "" ], [ "Wu", "Yinghui", "" ], [ "Zhu", "Yiwen", "" ], ...
There has recently been a lot of ongoing research in the areas of fairness, bias and explainability of machine learning (ML) models due to the self-evident or regulatory requirements of various ML applications. We make the following observation: All of these approaches require a robust understanding of the relationship...