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1210.0386
Junlin Hu
Junlin Hu and Ping Guo
Combined Descriptors in Spatial Pyramid Domain for Image Classification
9 pages, 5 figures
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recently spatial pyramid matching (SPM) with scale invariant feature transform (SIFT) descriptor has been successfully used in image classification. Unfortunately, the codebook generation and feature quantization procedures using SIFT feature have the high complexity both in time and space. To address this problem, i...
[ { "created": "Mon, 1 Oct 2012 13:05:20 GMT", "version": "v1" }, { "created": "Tue, 2 Oct 2012 06:03:23 GMT", "version": "v2" }, { "created": "Wed, 3 Oct 2012 02:48:47 GMT", "version": "v3" } ]
2012-10-04
[ [ "Hu", "Junlin", "" ], [ "Guo", "Ping", "" ] ]
Recently spatial pyramid matching (SPM) with scale invariant feature transform (SIFT) descriptor has been successfully used in image classification. Unfortunately, the codebook generation and feature quantization procedures using SIFT feature have the high complexity both in time and space. To address this problem, in ...
1905.07113
Ye Zhu
Ye Zhu
High Throughput Push Based Storage Manager
null
null
null
null
cs.DB
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The storage manager, as a key component of the database system, is responsible for organizing, reading, and delivering data to the execution engine for processing. According to the data serving mechanism, existing storage managers are either pull-based, incurring high latency, or push-based, leading to a high number ...
[ { "created": "Fri, 17 May 2019 04:50:53 GMT", "version": "v1" } ]
2019-05-20
[ [ "Zhu", "Ye", "" ] ]
The storage manager, as a key component of the database system, is responsible for organizing, reading, and delivering data to the execution engine for processing. According to the data serving mechanism, existing storage managers are either pull-based, incurring high latency, or push-based, leading to a high number of...
1811.04363
Asaf Cohen
Neri Merhav and Asaf Cohen
Universal Randomized Guessing with Application to Asynchronous Decentralized Brute-Force Attacks
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Consider the problem of guessing the realization of a random vector $\textbf{X}$ by repeatedly submitting queries (guesses) of the form "Is $\textbf{X}$ equal to $\textbf{x}$?" until an affirmative answer is obtained. In this setup, a key figure of merit is the number of queries required until the right vector is ide...
[ { "created": "Sun, 11 Nov 2018 07:00:19 GMT", "version": "v1" } ]
2018-11-13
[ [ "Merhav", "Neri", "" ], [ "Cohen", "Asaf", "" ] ]
Consider the problem of guessing the realization of a random vector $\textbf{X}$ by repeatedly submitting queries (guesses) of the form "Is $\textbf{X}$ equal to $\textbf{x}$?" until an affirmative answer is obtained. In this setup, a key figure of merit is the number of queries required until the right vector is ident...
1912.03383
Yan Wang
Yan Wang, Xu Wei, Fengze Liu, Jieneng Chen, Yuyin Zhou, Wei Shen, Elliot K. Fishman, Alan L. Yuille
Deep Distance Transform for Tubular Structure Segmentation in CT Scans
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Tubular structure segmentation in medical images, e.g., segmenting vessels in CT scans, serves as a vital step in the use of computers to aid in screening early stages of related diseases. But automatic tubular structure segmentation in CT scans is a challenging problem, due to issues such as poor contrast, noise and...
[ { "created": "Fri, 6 Dec 2019 23:04:51 GMT", "version": "v1" } ]
2019-12-10
[ [ "Wang", "Yan", "" ], [ "Wei", "Xu", "" ], [ "Liu", "Fengze", "" ], [ "Chen", "Jieneng", "" ], [ "Zhou", "Yuyin", "" ], [ "Shen", "Wei", "" ], [ "Fishman", "Elliot K.", "" ], [ "Yuille", "Alan L....
Tubular structure segmentation in medical images, e.g., segmenting vessels in CT scans, serves as a vital step in the use of computers to aid in screening early stages of related diseases. But automatic tubular structure segmentation in CT scans is a challenging problem, due to issues such as poor contrast, noise and c...
1903.09513
Julian Theis
Julian Theis, Ilia Mokhtarian, and Houshang Darabi
Process Mining of Programmable Logic Controllers: Input/Output Event Logs
null
null
10.1109/COASE.2019.8842900
null
cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper presents an approach to model an unknown Ladder Logic based Programmable Logic Controller (PLC) program consisting of Boolean logic and counters using Process Mining techniques. First, we tap the inputs and outputs of a PLC to create a data flow log. Second, we propose a method to translate the obtained da...
[ { "created": "Fri, 22 Mar 2019 14:05:30 GMT", "version": "v1" } ]
2019-09-24
[ [ "Theis", "Julian", "" ], [ "Mokhtarian", "Ilia", "" ], [ "Darabi", "Houshang", "" ] ]
This paper presents an approach to model an unknown Ladder Logic based Programmable Logic Controller (PLC) program consisting of Boolean logic and counters using Process Mining techniques. First, we tap the inputs and outputs of a PLC to create a data flow log. Second, we propose a method to translate the obtained data...
2110.00755
Kashif Ahmad
Imran Khan, Kashif Ahmad, Namra Gul, Talhat Khan, Nasir Ahmad, Ala Al-Fuqaha
Explainable Event Recognition
16 pages, 10 figures, 6 tables
null
null
null
cs.CV cs.AI cs.LG
http://creativecommons.org/licenses/by/4.0/
The literature shows outstanding capabilities for CNNs in event recognition in images. However, fewer attempts are made to analyze the potential causes behind the decisions of the models and exploring whether the predictions are based on event-salient objects or regions? To explore this important aspect of event reco...
[ { "created": "Sat, 2 Oct 2021 08:40:33 GMT", "version": "v1" }, { "created": "Sun, 10 Oct 2021 12:27:27 GMT", "version": "v2" } ]
2021-10-12
[ [ "Khan", "Imran", "" ], [ "Ahmad", "Kashif", "" ], [ "Gul", "Namra", "" ], [ "Khan", "Talhat", "" ], [ "Ahmad", "Nasir", "" ], [ "Al-Fuqaha", "Ala", "" ] ]
The literature shows outstanding capabilities for CNNs in event recognition in images. However, fewer attempts are made to analyze the potential causes behind the decisions of the models and exploring whether the predictions are based on event-salient objects or regions? To explore this important aspect of event recogn...
2304.07013
Xiaodan Hu
Xiaodan Hu, Yan Zhang, Hideaki Uchiyama, Naoya Isoyama, Nobuchika Sakata, Kiyoshi Kiyokawa
Smart Dimming Sunglasses for Photophobia Using Spatial Light Modulator
null
Elsevier Displays 81 (2024) 102611
10.1016/j.displa.2023.102611
null
cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a smart sunglasses system engineered to assist individuals experiencing photophobia, particularly those highly sensitive to light intensity. The system integrates a high dynamic range (HDR) camera and a liquid crystal spatial light modulator (SLM) to dynamically regulate light, adapting to environmental sc...
[ { "created": "Fri, 14 Apr 2023 09:17:27 GMT", "version": "v1" }, { "created": "Thu, 29 Jun 2023 07:40:46 GMT", "version": "v2" }, { "created": "Sun, 9 Jul 2023 13:51:56 GMT", "version": "v3" }, { "created": "Tue, 10 Oct 2023 11:54:19 GMT", "version": "v4" } ]
2023-12-11
[ [ "Hu", "Xiaodan", "" ], [ "Zhang", "Yan", "" ], [ "Uchiyama", "Hideaki", "" ], [ "Isoyama", "Naoya", "" ], [ "Sakata", "Nobuchika", "" ], [ "Kiyokawa", "Kiyoshi", "" ] ]
We present a smart sunglasses system engineered to assist individuals experiencing photophobia, particularly those highly sensitive to light intensity. The system integrates a high dynamic range (HDR) camera and a liquid crystal spatial light modulator (SLM) to dynamically regulate light, adapting to environmental scen...
1006.1186
Secretary Aircc Journal
A.Nag (1), S. Biswas (2), D. Sarkar (2) and P.P. Sarkar (2) ((1)Academy of Technology - Hoogly, India and (2) University of Kalyani, India)
A novel technique for image steganography based on Block-DCT and Huffman Encoding
10 pages
International Journal of Computer Science and Information Technology 2.3 (2010) 103-112
10.5121/ijcsit.2010.2308
null
cs.MM
http://creativecommons.org/licenses/by-nc-sa/3.0/
Image steganography is the art of hiding information into a cover image. This paper presents a novel technique for Image steganography based on Block-DCT, where DCT is used to transform original image (cover image) blocks from spatial domain to frequency domain. Firstly a gray level image of size M x N is divided int...
[ { "created": "Mon, 7 Jun 2010 06:59:18 GMT", "version": "v1" } ]
2010-07-15
[ [ "Nag", "A.", "" ], [ "Biswas", "S.", "" ], [ "Sarkar", "D.", "" ], [ "Sarkar", "P. P.", "" ] ]
Image steganography is the art of hiding information into a cover image. This paper presents a novel technique for Image steganography based on Block-DCT, where DCT is used to transform original image (cover image) blocks from spatial domain to frequency domain. Firstly a gray level image of size M x N is divided into ...
1911.03083
Bhavan Jasani
Bhavan Jasani, Rohit Girdhar, Deva Ramanan
Are we asking the right questions in MovieQA?
Spotlight presentation at CLVL workshop, ICCV 2019. Project page: https://bhavanj.github.io/MovieQAWithoutMovies/
null
null
null
cs.CV cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Joint vision and language tasks like visual question answering are fascinating because they explore high-level understanding, but at the same time, can be more prone to language biases. In this paper, we explore the biases in the MovieQA dataset and propose a strikingly simple model which can exploit them. We find th...
[ { "created": "Fri, 8 Nov 2019 06:49:45 GMT", "version": "v1" } ]
2019-11-11
[ [ "Jasani", "Bhavan", "" ], [ "Girdhar", "Rohit", "" ], [ "Ramanan", "Deva", "" ] ]
Joint vision and language tasks like visual question answering are fascinating because they explore high-level understanding, but at the same time, can be more prone to language biases. In this paper, we explore the biases in the MovieQA dataset and propose a strikingly simple model which can exploit them. We find that...
1312.0882
Yi Li
Yi Li, M. Cenk Gursoy, Senem Velipasalar
On the Throughput of Hybrid-ARQ under QoS Constraints
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Hybrid Automatic Repeat Request (HARQ) is a high performance communication protocol, leading to effective use of the wireless channel and the resources with only limited feedback about the channel state information (CSI) to the transmitter. In this paper, the throughput of HARQ with incremental redundancy (IR) and fi...
[ { "created": "Tue, 3 Dec 2013 17:21:42 GMT", "version": "v1" } ]
2013-12-04
[ [ "Li", "Yi", "" ], [ "Gursoy", "M. Cenk", "" ], [ "Velipasalar", "Senem", "" ] ]
Hybrid Automatic Repeat Request (HARQ) is a high performance communication protocol, leading to effective use of the wireless channel and the resources with only limited feedback about the channel state information (CSI) to the transmitter. In this paper, the throughput of HARQ with incremental redundancy (IR) and fixe...
1904.10454
Daniel Wiebking
Daniel Wiebking
Normalizers and permutational isomorphisms in simply-exponential time
12 pages
null
null
null
cs.DS cs.CC cs.DM math.GR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We show that normalizers and permutational isomorphisms of permutation groups given by generating sets can be computed in time simply exponential in the degree of the groups. The result is obtained by exploiting canonical forms for permutation groups (up to permutational isomorphism).
[ { "created": "Wed, 24 Apr 2019 17:28:15 GMT", "version": "v1" } ]
2019-06-11
[ [ "Wiebking", "Daniel", "" ] ]
We show that normalizers and permutational isomorphisms of permutation groups given by generating sets can be computed in time simply exponential in the degree of the groups. The result is obtained by exploiting canonical forms for permutation groups (up to permutational isomorphism).
1502.00115
Canyi Lu
Can-Yi Lu, De-Shuang Huang
Optimized Projection for Sparse Representation Based Classification
Neurocomputing 2013
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Dimensionality reduction (DR) methods have been commonly used as a principled way to understand the high-dimensional data such as facial images. In this paper, we propose a new supervised DR method called Optimized Projection for Sparse Representation based Classification (OP-SRC), which is based on the recent face r...
[ { "created": "Sat, 31 Jan 2015 14:44:05 GMT", "version": "v1" } ]
2015-02-03
[ [ "Lu", "Can-Yi", "" ], [ "Huang", "De-Shuang", "" ] ]
Dimensionality reduction (DR) methods have been commonly used as a principled way to understand the high-dimensional data such as facial images. In this paper, we propose a new supervised DR method called Optimized Projection for Sparse Representation based Classification (OP-SRC), which is based on the recent face rec...
2103.06587
Yuki Asano
Peiyang He, Charlie Griffin, Krzysztof Kacprzyk, Artjom Joosen, Michael Collyer, Aleksandar Shtedritski, Yuki M. Asano
Privacy-preserving Object Detection
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Privacy considerations and bias in datasets are quickly becoming high-priority issues that the computer vision community needs to face. So far, little attention has been given to practical solutions that do not involve collection of new datasets. In this work, we show that for object detection on COCO, both anonymizi...
[ { "created": "Thu, 11 Mar 2021 10:34:54 GMT", "version": "v1" } ]
2021-03-12
[ [ "He", "Peiyang", "" ], [ "Griffin", "Charlie", "" ], [ "Kacprzyk", "Krzysztof", "" ], [ "Joosen", "Artjom", "" ], [ "Collyer", "Michael", "" ], [ "Shtedritski", "Aleksandar", "" ], [ "Asano", "Yuki M.", "" ...
Privacy considerations and bias in datasets are quickly becoming high-priority issues that the computer vision community needs to face. So far, little attention has been given to practical solutions that do not involve collection of new datasets. In this work, we show that for object detection on COCO, both anonymizing...
1311.1976
Otfried Cheong
Otfried Cheong, Sariel Har-Peled, Heuna Kim, Hyo-Sil Kim
On the Number of Edges of Fan-Crossing Free Graphs
null
null
null
null
cs.CG cs.DM math.CO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A graph drawn in the plane with n vertices is k-fan-crossing free for k > 1 if there are no k+1 edges $g,e_1,...e_k$, such that $e_1,e_2,...e_k$ have a common endpoint and $g$ crosses all $e_i$. We prove a tight bound of 4n-8 on the maximum number of edges of a 2-fan-crossing free graph, and a tight 4n-9 bound for a ...
[ { "created": "Fri, 8 Nov 2013 14:16:56 GMT", "version": "v1" } ]
2013-11-11
[ [ "Cheong", "Otfried", "" ], [ "Har-Peled", "Sariel", "" ], [ "Kim", "Heuna", "" ], [ "Kim", "Hyo-Sil", "" ] ]
A graph drawn in the plane with n vertices is k-fan-crossing free for k > 1 if there are no k+1 edges $g,e_1,...e_k$, such that $e_1,e_2,...e_k$ have a common endpoint and $g$ crosses all $e_i$. We prove a tight bound of 4n-8 on the maximum number of edges of a 2-fan-crossing free graph, and a tight 4n-9 bound for a st...
2403.13941
Leonardo Borgioli
Leonardo Borgioli, Ki-Hwan Oh, Alberto Mangano, Alvaro Ducas, Luciano Ambrosini, Federico Pinto, Paula A Lopez, Jessica Cassiani, Milos Zefran, Liaohai Chen and Pier Cristoforo Giulianotti
Sensory Glove-Based Surgical Robot User Interface
6 pages, 5 figures, 7 tables, submitted to International Conference on Intelligent Robots and Systems (IROS)2024
null
null
null
cs.RO cs.SY eess.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Robotic surgery has reached a high level of maturity and has become an integral part of standard surgical care. However, existing surgeon consoles are bulky and take up valuable space in the operating room, present challenges for surgical team coordination, and their proprietary nature makes it difficult to take adva...
[ { "created": "Wed, 20 Mar 2024 19:26:27 GMT", "version": "v1" } ]
2024-03-22
[ [ "Borgioli", "Leonardo", "" ], [ "Oh", "Ki-Hwan", "" ], [ "Mangano", "Alberto", "" ], [ "Ducas", "Alvaro", "" ], [ "Ambrosini", "Luciano", "" ], [ "Pinto", "Federico", "" ], [ "Lopez", "Paula A", "" ], [...
Robotic surgery has reached a high level of maturity and has become an integral part of standard surgical care. However, existing surgeon consoles are bulky and take up valuable space in the operating room, present challenges for surgical team coordination, and their proprietary nature makes it difficult to take advant...
2101.05718
Luiz Rodrigues
Luiz Rodrigues, Armando M. Toda, Wilk Oliveira, Paula T. Palomino, Julita Vassileva, Seiji Isotani
Automating Gamification Personalization: To the User and Beyond
14 pages, 2 figures, 8 tables. IEEE Transactions on Learning Technologies (2022)
null
10.1109/TLT.2022.3162409
null
cs.HC cs.AI
http://creativecommons.org/licenses/by/4.0/
Personalized gamification explores knowledge about the users to tailor gamification designs to improve one-size-fits-all gamification. The tailoring process should simultaneously consider user and contextual characteristics (e.g., activity to be done and geographic location), which leads to several occasions to tailo...
[ { "created": "Thu, 14 Jan 2021 16:47:00 GMT", "version": "v1" } ]
2022-03-29
[ [ "Rodrigues", "Luiz", "" ], [ "Toda", "Armando M.", "" ], [ "Oliveira", "Wilk", "" ], [ "Palomino", "Paula T.", "" ], [ "Vassileva", "Julita", "" ], [ "Isotani", "Seiji", "" ] ]
Personalized gamification explores knowledge about the users to tailor gamification designs to improve one-size-fits-all gamification. The tailoring process should simultaneously consider user and contextual characteristics (e.g., activity to be done and geographic location), which leads to several occasions to tailor....
1911.02744
Haoxuan You
Can Qin, Haoxuan You, Lichen Wang, C.-C. Jay Kuo, Yun Fu
PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud Representation
12 pages, 4 figures, 33rd Conference on Neural Information Processing Systems (NeurIPS 2019)
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Domain Adaptation (DA) approaches achieved significant improvements in a wide range of machine learning and computer vision tasks (i.e., classification, detection, and segmentation). However, as far as we are aware, there are few methods yet to achieve domain adaptation directly on 3D point cloud data. The unique cha...
[ { "created": "Thu, 7 Nov 2019 04:03:07 GMT", "version": "v1" } ]
2019-11-26
[ [ "Qin", "Can", "" ], [ "You", "Haoxuan", "" ], [ "Wang", "Lichen", "" ], [ "Kuo", "C. -C. Jay", "" ], [ "Fu", "Yun", "" ] ]
Domain Adaptation (DA) approaches achieved significant improvements in a wide range of machine learning and computer vision tasks (i.e., classification, detection, and segmentation). However, as far as we are aware, there are few methods yet to achieve domain adaptation directly on 3D point cloud data. The unique chall...
1209.5077
Farhad Farokhi
Farhad Farokhi, Henrik Sandberg, Karl H. Johansson
Complexity Reduction for Parameter-Dependent Linear Systems
null
null
null
null
cs.SY math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a complexity reduction algorithm for a family of parameter-dependent linear systems when the system parameters belong to a compact semi-algebraic set. This algorithm potentially describes the underlying dynamical system with fewer parameters or state variables. To do so, it minimizes the distance (i.e., H-...
[ { "created": "Sun, 23 Sep 2012 15:32:09 GMT", "version": "v1" } ]
2012-09-25
[ [ "Farokhi", "Farhad", "" ], [ "Sandberg", "Henrik", "" ], [ "Johansson", "Karl H.", "" ] ]
We present a complexity reduction algorithm for a family of parameter-dependent linear systems when the system parameters belong to a compact semi-algebraic set. This algorithm potentially describes the underlying dynamical system with fewer parameters or state variables. To do so, it minimizes the distance (i.e., H-in...
2206.02659
Hongyang Zhang
Haotian Ju, Dongyue Li, Hongyang R. Zhang
Robust Fine-Tuning of Deep Neural Networks with Hessian-based Generalization Guarantees
38 pages. Appeared in ICML 2022
null
null
null
cs.LG cs.CV math.ST stat.ML stat.TH
http://creativecommons.org/licenses/by/4.0/
We consider fine-tuning a pretrained deep neural network on a target task. We study the generalization properties of fine-tuning to understand the problem of overfitting, which has often been observed (e.g., when the target dataset is small or when the training labels are noisy). Existing generalization measures for ...
[ { "created": "Mon, 6 Jun 2022 14:52:46 GMT", "version": "v1" }, { "created": "Mon, 29 Aug 2022 00:20:04 GMT", "version": "v2" }, { "created": "Sat, 5 Nov 2022 06:03:40 GMT", "version": "v3" }, { "created": "Sun, 5 Feb 2023 07:16:05 GMT", "version": "v4" }, { "crea...
2023-12-27
[ [ "Ju", "Haotian", "" ], [ "Li", "Dongyue", "" ], [ "Zhang", "Hongyang R.", "" ] ]
We consider fine-tuning a pretrained deep neural network on a target task. We study the generalization properties of fine-tuning to understand the problem of overfitting, which has often been observed (e.g., when the target dataset is small or when the training labels are noisy). Existing generalization measures for de...
2402.18495
Xiaowei Li
Qin Zhang, Xiaowei Li, Jiexin Lu, Liping Qiu, Shirui Pan, Xiaojun Chen, Junyang Chen
ROG$_{PL}$: Robust Open-Set Graph Learning via Region-Based Prototype Learning
9 pages, 5 figures
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
Open-set graph learning is a practical task that aims to classify the known class nodes and to identify unknown class samples as unknowns. Conventional node classification methods usually perform unsatisfactorily in open-set scenarios due to the complex data they encounter, such as out-of-distribution (OOD) data and ...
[ { "created": "Wed, 28 Feb 2024 17:25:06 GMT", "version": "v1" }, { "created": "Thu, 29 Feb 2024 13:02:50 GMT", "version": "v2" } ]
2024-03-01
[ [ "Zhang", "Qin", "" ], [ "Li", "Xiaowei", "" ], [ "Lu", "Jiexin", "" ], [ "Qiu", "Liping", "" ], [ "Pan", "Shirui", "" ], [ "Chen", "Xiaojun", "" ], [ "Chen", "Junyang", "" ] ]
Open-set graph learning is a practical task that aims to classify the known class nodes and to identify unknown class samples as unknowns. Conventional node classification methods usually perform unsatisfactorily in open-set scenarios due to the complex data they encounter, such as out-of-distribution (OOD) data and in...
1905.07573
Sherif Saad
Sherif Saad, William Briguglio and Haytham Elmiligi
The Curious Case of Machine Learning In Malware Detection
9 pages
5th International Conference on Information Systems Security and Privacy, 2019
null
null
cs.CR cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we argue that machine learning techniques are not ready for malware detection in the wild. Given the current trend in malware development and the increase of unconventional malware attacks, we expect that dynamic malware analysis is the future for antimalware detection and prevention systems. A compreh...
[ { "created": "Sat, 18 May 2019 10:34:36 GMT", "version": "v1" } ]
2019-05-21
[ [ "Saad", "Sherif", "" ], [ "Briguglio", "William", "" ], [ "Elmiligi", "Haytham", "" ] ]
In this paper, we argue that machine learning techniques are not ready for malware detection in the wild. Given the current trend in malware development and the increase of unconventional malware attacks, we expect that dynamic malware analysis is the future for antimalware detection and prevention systems. A comprehen...
2109.14985
Christophe De Wagter
Christophe De Wagter and Federico Paredes-Vall\'es and Nilay Sheth and Guido de Croon
The Artificial Intelligence behind the winning entry to the 2019 AI Robotic Racing Competition
null
null
10.55417/fr.2022042
null
cs.RO cs.AI
http://creativecommons.org/licenses/by/4.0/
Robotics is the next frontier in the progress of Artificial Intelligence (AI), as the real world in which robots operate represents an enormous, complex, continuous state space with inherent real-time requirements. One extreme challenge in robotics is currently formed by autonomous drone racing. Human drone racers ca...
[ { "created": "Thu, 30 Sep 2021 10:32:23 GMT", "version": "v1" } ]
2022-06-23
[ [ "De Wagter", "Christophe", "" ], [ "Paredes-Vallés", "Federico", "" ], [ "Sheth", "Nilay", "" ], [ "de Croon", "Guido", "" ] ]
Robotics is the next frontier in the progress of Artificial Intelligence (AI), as the real world in which robots operate represents an enormous, complex, continuous state space with inherent real-time requirements. One extreme challenge in robotics is currently formed by autonomous drone racing. Human drone racers can ...
2111.07648
Gonzalo Imaz
Gonzalo E. Imaz
The Possibilistic Horn Non-Clausal Knowledge Bases
null
null
null
null
cs.AI
http://creativecommons.org/licenses/by/4.0/
Posibilistic logic is the most extended approach to handle uncertain and partially inconsistent information. Regarding normal forms, advances in possibilistic reasoning are mostly focused on clausal form. Yet, the encoding of real-world problems usually results in a non-clausal (NC) formula and NC-to-clausal translat...
[ { "created": "Mon, 15 Nov 2021 10:18:49 GMT", "version": "v1" } ]
2021-11-16
[ [ "Imaz", "Gonzalo E.", "" ] ]
Posibilistic logic is the most extended approach to handle uncertain and partially inconsistent information. Regarding normal forms, advances in possibilistic reasoning are mostly focused on clausal form. Yet, the encoding of real-world problems usually results in a non-clausal (NC) formula and NC-to-clausal translator...
2309.05828
Shan Zhao
Shan Zhao, Sudipan Saha, Zhitong Xiong, Niklas Boers, Xiao Xiang Zhu
Exploring Geometric Deep Learning For Precipitation Nowcasting
submitted and accepted in IGARSS2023
null
null
null
cs.LG cs.AI physics.ao-ph
http://creativecommons.org/licenses/by/4.0/
Precipitation nowcasting (up to a few hours) remains a challenge due to the highly complex local interactions that need to be captured accurately. Convolutional Neural Networks rely on convolutional kernels convolving with grid data and the extracted features are trapped by limited receptive field, typically expresse...
[ { "created": "Mon, 11 Sep 2023 21:14:55 GMT", "version": "v1" } ]
2023-09-13
[ [ "Zhao", "Shan", "" ], [ "Saha", "Sudipan", "" ], [ "Xiong", "Zhitong", "" ], [ "Boers", "Niklas", "" ], [ "Zhu", "Xiao Xiang", "" ] ]
Precipitation nowcasting (up to a few hours) remains a challenge due to the highly complex local interactions that need to be captured accurately. Convolutional Neural Networks rely on convolutional kernels convolving with grid data and the extracted features are trapped by limited receptive field, typically expressed ...
1312.0317
Chunxiao Jiang
Chunxiao Jiang and Yan Chen and K. J. Ray Liu
Evolutionary Dynamics of Information Diffusion over Social Networks
arXiv admin note: substantial text overlap with arXiv:1309.2920
null
10.1109/JSTSP.2014.2313024
null
cs.SI physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Current social networks are of extremely large-scale generating tremendous information flows at every moment. How information diffuse over social networks has attracted much attention from both industry and academics. Most of the existing works on information diffusion analysis are based on machine learning methods f...
[ { "created": "Mon, 2 Dec 2013 03:21:28 GMT", "version": "v1" } ]
2015-06-18
[ [ "Jiang", "Chunxiao", "" ], [ "Chen", "Yan", "" ], [ "Liu", "K. J. Ray", "" ] ]
Current social networks are of extremely large-scale generating tremendous information flows at every moment. How information diffuse over social networks has attracted much attention from both industry and academics. Most of the existing works on information diffusion analysis are based on machine learning methods foc...
1811.09712
Clement Fung
Clement Fung, Jamie Koerner, Stewart Grant, Ivan Beschastnikh
Dancing in the Dark: Private Multi-Party Machine Learning in an Untrusted Setting
16 pages
null
null
null
cs.CR cs.DC cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Distributed machine learning (ML) systems today use an unsophisticated threat model: data sources must trust a central ML process. We propose a brokered learning abstraction that allows data sources to contribute towards a globally-shared model with provable privacy guarantees in an untrusted setting. We realize this...
[ { "created": "Fri, 23 Nov 2018 22:00:39 GMT", "version": "v1" }, { "created": "Sun, 24 Feb 2019 00:40:45 GMT", "version": "v2" } ]
2019-02-26
[ [ "Fung", "Clement", "" ], [ "Koerner", "Jamie", "" ], [ "Grant", "Stewart", "" ], [ "Beschastnikh", "Ivan", "" ] ]
Distributed machine learning (ML) systems today use an unsophisticated threat model: data sources must trust a central ML process. We propose a brokered learning abstraction that allows data sources to contribute towards a globally-shared model with provable privacy guarantees in an untrusted setting. We realize this a...
2309.10326
Kunlun Zhu
Kunlun Zhu, Shihao Liang, Xu Han, Zhi Zheng, Guoyang Zeng, Zhiyuan Liu, Maosong Sun
QASnowball: An Iterative Bootstrapping Framework for High-Quality Question-Answering Data Generation
null
null
null
null
cs.CL cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recent years have witnessed the success of question answering (QA), especially its potential to be a foundation paradigm for tackling diverse NLP tasks. However, obtaining sufficient data to build an effective and stable QA system still remains an open problem. For this problem, we introduce an iterative bootstrappin...
[ { "created": "Tue, 19 Sep 2023 05:20:36 GMT", "version": "v1" }, { "created": "Wed, 20 Sep 2023 01:57:10 GMT", "version": "v2" } ]
2023-09-21
[ [ "Zhu", "Kunlun", "" ], [ "Liang", "Shihao", "" ], [ "Han", "Xu", "" ], [ "Zheng", "Zhi", "" ], [ "Zeng", "Guoyang", "" ], [ "Liu", "Zhiyuan", "" ], [ "Sun", "Maosong", "" ] ]
Recent years have witnessed the success of question answering (QA), especially its potential to be a foundation paradigm for tackling diverse NLP tasks. However, obtaining sufficient data to build an effective and stable QA system still remains an open problem. For this problem, we introduce an iterative bootstrapping ...
2112.11956
Jim Magiera
Maria Alk\"amper, Jim Magiera, Christian Rohde
An Interface Preserving Moving Mesh in Multiple Space Dimensions
[1] Maria Alk\"{a}mper and Jim Magiera. 2021. Interface Preserving Moving Mesh (Code). DOI: 10.18419/darus-1671
null
null
null
cs.CG cs.NA math.NA
http://creativecommons.org/licenses/by/4.0/
An interface preserving moving mesh algorithm in two or higher dimensions is presented. It resolves a moving $(d-1)$-dimensional manifold directly within the $d$-dimensional mesh, which means that the interface is represented by a subset of moving mesh cell-surfaces. The underlying mesh is a conforming simplicial par...
[ { "created": "Wed, 22 Dec 2021 15:24:12 GMT", "version": "v1" } ]
2021-12-23
[ [ "Alkämper", "Maria", "" ], [ "Magiera", "Jim", "" ], [ "Rohde", "Christian", "" ] ]
An interface preserving moving mesh algorithm in two or higher dimensions is presented. It resolves a moving $(d-1)$-dimensional manifold directly within the $d$-dimensional mesh, which means that the interface is represented by a subset of moving mesh cell-surfaces. The underlying mesh is a conforming simplicial parti...
2111.05319
Shubhendu Jena
Shubhendu Jena, Franck Multon, Adnane Boukhayma
Monocular Human Shape and Pose with Dense Mesh-borne Local Image Features
FG 2021
null
10.1109/FG52635.2021.9666993
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose to improve on graph convolution based approaches for human shape and pose estimation from monocular input, using pixel-aligned local image features. Given a single input color image, existing graph convolutional network (GCN) based techniques for human shape and pose estimation use a single convolutional n...
[ { "created": "Tue, 9 Nov 2021 18:43:18 GMT", "version": "v1" }, { "created": "Wed, 10 Nov 2021 02:00:05 GMT", "version": "v2" }, { "created": "Thu, 11 Nov 2021 08:38:08 GMT", "version": "v3" } ]
2022-08-12
[ [ "Jena", "Shubhendu", "" ], [ "Multon", "Franck", "" ], [ "Boukhayma", "Adnane", "" ] ]
We propose to improve on graph convolution based approaches for human shape and pose estimation from monocular input, using pixel-aligned local image features. Given a single input color image, existing graph convolutional network (GCN) based techniques for human shape and pose estimation use a single convolutional neu...
2104.08671
Lucia Zheng
Lucia Zheng, Neel Guha, Brandon R. Anderson, Peter Henderson, Daniel E. Ho
When Does Pretraining Help? Assessing Self-Supervised Learning for Law and the CaseHOLD Dataset
ICAIL 2021. Code & data available at https://github.com/reglab/casehold
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
While self-supervised learning has made rapid advances in natural language processing, it remains unclear when researchers should engage in resource-intensive domain-specific pretraining (domain pretraining). The law, puzzlingly, has yielded few documented instances of substantial gains to domain pretraining in spite...
[ { "created": "Sun, 18 Apr 2021 00:57:16 GMT", "version": "v1" }, { "created": "Mon, 17 May 2021 22:45:11 GMT", "version": "v2" }, { "created": "Tue, 6 Jul 2021 00:56:00 GMT", "version": "v3" } ]
2021-07-07
[ [ "Zheng", "Lucia", "" ], [ "Guha", "Neel", "" ], [ "Anderson", "Brandon R.", "" ], [ "Henderson", "Peter", "" ], [ "Ho", "Daniel E.", "" ] ]
While self-supervised learning has made rapid advances in natural language processing, it remains unclear when researchers should engage in resource-intensive domain-specific pretraining (domain pretraining). The law, puzzlingly, has yielded few documented instances of substantial gains to domain pretraining in spite o...
2408.04683
Weisong Sun
Weisong Sun and Yuchen Chen and Chunrong Fang and Yebo Feng and Yuan Xiao and An Guo and Quanjun Zhang and Yang Liu and Baowen Xu and Zhenyu Chen
Eliminating Backdoors in Neural Code Models via Trigger Inversion
Under review
null
null
null
cs.CR cs.AI cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Neural code models (NCMs) have been widely used for addressing various code understanding tasks, such as defect detection and clone detection. However, numerous recent studies reveal that such models are vulnerable to backdoor attacks. Backdoored NCMs function normally on normal code snippets, but exhibit adversary-e...
[ { "created": "Thu, 8 Aug 2024 08:23:03 GMT", "version": "v1" } ]
2024-08-12
[ [ "Sun", "Weisong", "" ], [ "Chen", "Yuchen", "" ], [ "Fang", "Chunrong", "" ], [ "Feng", "Yebo", "" ], [ "Xiao", "Yuan", "" ], [ "Guo", "An", "" ], [ "Zhang", "Quanjun", "" ], [ "Liu", "Yang", ...
Neural code models (NCMs) have been widely used for addressing various code understanding tasks, such as defect detection and clone detection. However, numerous recent studies reveal that such models are vulnerable to backdoor attacks. Backdoored NCMs function normally on normal code snippets, but exhibit adversary-exp...
2407.13499
Kaiyi Pang
Minhao Bai, Jinshuai Yang, Kaiyi Pang, Xu Xin, Yongfeng Huang
Three-State Information Hiding: Provably Secure Asymmetric Steganography
null
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The rise of language models has provided a fertile ground for the application of steganography. Due to their qualified output, steganographic texts become similar to human and have attracted most of the steganography researchers' attention. However, running a language model requires a strong computation platform. It ...
[ { "created": "Thu, 18 Jul 2024 13:32:00 GMT", "version": "v1" } ]
2024-07-19
[ [ "Bai", "Minhao", "" ], [ "Yang", "Jinshuai", "" ], [ "Pang", "Kaiyi", "" ], [ "Xin", "Xu", "" ], [ "Huang", "Yongfeng", "" ] ]
The rise of language models has provided a fertile ground for the application of steganography. Due to their qualified output, steganographic texts become similar to human and have attracted most of the steganography researchers' attention. However, running a language model requires a strong computation platform. It li...
1909.00991
Joel Robertson
Joel Robertson
Modelling Bushfire Evacuation Behaviours
84 pages
null
null
null
cs.MA cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Bushfires pose a significant threat to Australia's regional areas. To minimise risk and increase resilience, communities need robust evacuation strategies that account for people's likely behaviour both before and during a bushfire. Agent-based modelling (ABM) offers a practical way to simulate a range of bushfire ev...
[ { "created": "Tue, 3 Sep 2019 08:07:27 GMT", "version": "v1" } ]
2019-09-04
[ [ "Robertson", "Joel", "" ] ]
Bushfires pose a significant threat to Australia's regional areas. To minimise risk and increase resilience, communities need robust evacuation strategies that account for people's likely behaviour both before and during a bushfire. Agent-based modelling (ABM) offers a practical way to simulate a range of bushfire evac...
1208.0959
Misha Denil
Misha Denil and Nando de Freitas
Recklessly Approximate Sparse Coding
null
null
null
null
cs.LG cs.CV stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
It has recently been observed that certain extremely simple feature encoding techniques are able to achieve state of the art performance on several standard image classification benchmarks including deep belief networks, convolutional nets, factored RBMs, mcRBMs, convolutional RBMs, sparse autoencoders and several ot...
[ { "created": "Sat, 4 Aug 2012 21:48:52 GMT", "version": "v1" }, { "created": "Sun, 6 Jan 2013 19:00:48 GMT", "version": "v2" } ]
2013-01-08
[ [ "Denil", "Misha", "" ], [ "de Freitas", "Nando", "" ] ]
It has recently been observed that certain extremely simple feature encoding techniques are able to achieve state of the art performance on several standard image classification benchmarks including deep belief networks, convolutional nets, factored RBMs, mcRBMs, convolutional RBMs, sparse autoencoders and several othe...
2101.00122
Xiulong Yang
Xiulong Yang, Hui Ye, Yang Ye, Xiang Li, Shihao Ji
Generative Max-Mahalanobis Classifiers for Image Classification, Generation and More
Accepted as a conference paper at ECML2021
null
null
null
cs.CV cs.LG
http://creativecommons.org/licenses/by/4.0/
Joint Energy-based Model (JEM) of Grathwohl et al. shows that a standard softmax classifier can be reinterpreted as an energy-based model (EBM) for the joint distribution p(x,y); the resulting model can be optimized to improve calibration, robustness, and out-of-distribution detection, while generating samples rivali...
[ { "created": "Fri, 1 Jan 2021 00:42:04 GMT", "version": "v1" }, { "created": "Thu, 25 Feb 2021 13:35:35 GMT", "version": "v2" }, { "created": "Fri, 2 Apr 2021 22:30:49 GMT", "version": "v3" }, { "created": "Thu, 1 Jul 2021 21:29:26 GMT", "version": "v4" } ]
2021-07-05
[ [ "Yang", "Xiulong", "" ], [ "Ye", "Hui", "" ], [ "Ye", "Yang", "" ], [ "Li", "Xiang", "" ], [ "Ji", "Shihao", "" ] ]
Joint Energy-based Model (JEM) of Grathwohl et al. shows that a standard softmax classifier can be reinterpreted as an energy-based model (EBM) for the joint distribution p(x,y); the resulting model can be optimized to improve calibration, robustness, and out-of-distribution detection, while generating samples rivaling...
1910.11105
Lior Wolf
Barak Battash, Lior Wolf
Adaptive and Iteratively Improving Recurrent Lateral Connections
null
null
null
null
cs.CV cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The current leading computer vision models are typically feed forward neural models, in which the output of one computational block is passed to the next one sequentially. This is in sharp contrast to the organization of the primate visual cortex, in which feedback and lateral connections are abundant. In this work, ...
[ { "created": "Wed, 16 Oct 2019 16:58:26 GMT", "version": "v1" } ]
2019-10-25
[ [ "Battash", "Barak", "" ], [ "Wolf", "Lior", "" ] ]
The current leading computer vision models are typically feed forward neural models, in which the output of one computational block is passed to the next one sequentially. This is in sharp contrast to the organization of the primate visual cortex, in which feedback and lateral connections are abundant. In this work, we...
1705.03186
Yiwei Zhang
Yiwei Zhang and Gennian Ge
Private Information Retrieval from MDS Coded Databases with Colluding Servers under Several Variant Models
The current draft is extended by considering several PIR models. The original version named "Multi-file Private Information Retrieval from MDS Coded Databases with Colluding Servers" is abridged into a section within the current draft. arXiv admin note: text overlap with arXiv:1704.06785
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Private information retrieval (PIR) gets renewed attentions due to its information-theoretic reformulation and its application in distributed storage system (DSS). The general PIR model considers a coded database containing $N$ servers storing $M$ files. Each file is stored independently via the same arbitrary $(N,K)...
[ { "created": "Tue, 9 May 2017 05:41:06 GMT", "version": "v1" }, { "created": "Wed, 11 Oct 2017 00:44:43 GMT", "version": "v2" } ]
2017-10-12
[ [ "Zhang", "Yiwei", "" ], [ "Ge", "Gennian", "" ] ]
Private information retrieval (PIR) gets renewed attentions due to its information-theoretic reformulation and its application in distributed storage system (DSS). The general PIR model considers a coded database containing $N$ servers storing $M$ files. Each file is stored independently via the same arbitrary $(N,K)$-...
2202.04006
Wojciech Przybyszewski
Wojciech Przybyszewski
Distal combinatorial tools for graphs of bounded twin-width
Accepted to LICS 2023
null
null
null
cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study set systems formed by neighborhoods in graphs of bounded twin-width. We start by proving that such graphs have linear neighborhood complexity, in analogy to previous results concerning graphs from classes with bounded expansion and of bounded clique-width. Next, we shift our attention to the notions of dista...
[ { "created": "Tue, 8 Feb 2022 17:23:17 GMT", "version": "v1" }, { "created": "Wed, 26 Apr 2023 14:30:54 GMT", "version": "v2" } ]
2023-04-27
[ [ "Przybyszewski", "Wojciech", "" ] ]
We study set systems formed by neighborhoods in graphs of bounded twin-width. We start by proving that such graphs have linear neighborhood complexity, in analogy to previous results concerning graphs from classes with bounded expansion and of bounded clique-width. Next, we shift our attention to the notions of distali...
2210.15063
Sharman Tan
Sharman Tan, Piyush Behre, Nick Kibre, Issac Alphonso, Shuangyu Chang
Four-in-One: A Joint Approach to Inverse Text Normalization, Punctuation, Capitalization, and Disfluency for Automatic Speech Recognition
null
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Features such as punctuation, capitalization, and formatting of entities are important for readability, understanding, and natural language processing tasks. However, Automatic Speech Recognition (ASR) systems produce spoken-form text devoid of formatting, and tagging approaches to formatting address just one or two ...
[ { "created": "Wed, 26 Oct 2022 22:21:03 GMT", "version": "v1" } ]
2022-10-28
[ [ "Tan", "Sharman", "" ], [ "Behre", "Piyush", "" ], [ "Kibre", "Nick", "" ], [ "Alphonso", "Issac", "" ], [ "Chang", "Shuangyu", "" ] ]
Features such as punctuation, capitalization, and formatting of entities are important for readability, understanding, and natural language processing tasks. However, Automatic Speech Recognition (ASR) systems produce spoken-form text devoid of formatting, and tagging approaches to formatting address just one or two fe...
2304.11330
Shaoteng Liu
Shaoteng Liu, Xiangyu Zhang, Tao Hu, Jiaya Jia
Self-supervised Learning by View Synthesis
13 pages, 12 figures
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present view-synthesis autoencoders (VSA) in this paper, which is a self-supervised learning framework designed for vision transformers. Different from traditional 2D pretraining methods, VSA can be pre-trained with multi-view data. In each iteration, the input to VSA is one view (or multiple views) of a 3D object...
[ { "created": "Sat, 22 Apr 2023 06:12:13 GMT", "version": "v1" } ]
2023-04-25
[ [ "Liu", "Shaoteng", "" ], [ "Zhang", "Xiangyu", "" ], [ "Hu", "Tao", "" ], [ "Jia", "Jiaya", "" ] ]
We present view-synthesis autoencoders (VSA) in this paper, which is a self-supervised learning framework designed for vision transformers. Different from traditional 2D pretraining methods, VSA can be pre-trained with multi-view data. In each iteration, the input to VSA is one view (or multiple views) of a 3D object a...
2101.01508
N M Anoop Krishnan
Vineeth Venugopal, Sourav Sahoo, Mohd Zaki, Manish Agarwal, Nitya Nand Gosvami, N. M. Anoop Krishnan
Looking Through Glass: Knowledge Discovery from Materials Science Literature using Natural Language Processing
17 pages, 5 figures
null
null
null
cs.DL physics.comp-ph physics.data-an
http://creativecommons.org/licenses/by-sa/4.0/
Most of the knowledge in materials science literature is in the form of unstructured data such as text and images. Here, we present a framework employing natural language processing, which automates text and image comprehension and precision knowledge extraction from inorganic glasses' literature. The abstracts are a...
[ { "created": "Tue, 5 Jan 2021 13:48:22 GMT", "version": "v1" } ]
2021-01-06
[ [ "Venugopal", "Vineeth", "" ], [ "Sahoo", "Sourav", "" ], [ "Zaki", "Mohd", "" ], [ "Agarwal", "Manish", "" ], [ "Gosvami", "Nitya Nand", "" ], [ "Krishnan", "N. M. Anoop", "" ] ]
Most of the knowledge in materials science literature is in the form of unstructured data such as text and images. Here, we present a framework employing natural language processing, which automates text and image comprehension and precision knowledge extraction from inorganic glasses' literature. The abstracts are aut...
2006.14360
Lauren Watson
Lauren Watson, Benedek Rozemberczki, Rik Sarkar
Stability Enhanced Privacy and Applications in Private Stochastic Gradient Descent
null
null
null
null
cs.LG cs.CR stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Private machine learning involves addition of noise while training, resulting in lower accuracy. Intuitively, greater stability can imply greater privacy and improve this privacy-utility tradeoff. We study this role of stability in private empirical risk minimization, where differential privacy is achieved by output ...
[ { "created": "Thu, 25 Jun 2020 13:04:18 GMT", "version": "v1" } ]
2020-06-26
[ [ "Watson", "Lauren", "" ], [ "Rozemberczki", "Benedek", "" ], [ "Sarkar", "Rik", "" ] ]
Private machine learning involves addition of noise while training, resulting in lower accuracy. Intuitively, greater stability can imply greater privacy and improve this privacy-utility tradeoff. We study this role of stability in private empirical risk minimization, where differential privacy is achieved by output pe...
2004.14071
Noa Fish
Noa Fish, Richard Zhang, Lilach Perry, Daniel Cohen-Or, Eli Shechtman, Connelly Barnes
Image Morphing with Perceptual Constraints and STN Alignment
null
null
10.1111/cgf.14027
null
cs.GR cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In image morphing, a sequence of plausible frames are synthesized and composited together to form a smooth transformation between given instances. Intermediates must remain faithful to the input, stand on their own as members of the set, and maintain a well-paced visual transition from one to the next. In this paper,...
[ { "created": "Wed, 29 Apr 2020 10:49:10 GMT", "version": "v1" } ]
2020-05-05
[ [ "Fish", "Noa", "" ], [ "Zhang", "Richard", "" ], [ "Perry", "Lilach", "" ], [ "Cohen-Or", "Daniel", "" ], [ "Shechtman", "Eli", "" ], [ "Barnes", "Connelly", "" ] ]
In image morphing, a sequence of plausible frames are synthesized and composited together to form a smooth transformation between given instances. Intermediates must remain faithful to the input, stand on their own as members of the set, and maintain a well-paced visual transition from one to the next. In this paper, w...
0810.1631
Danny Bickson
Danny Bickson, Yoav Tock, Ori Shental and Danny Dolev
Polynomial Linear Programming with Gaussian Belief Propagation
7 pages, 1 figure, appeared in the 46th Annual Allerton Conference on Communication, Control and Computing, Allerton House, Illinois, Sept. 2008
The 46th Annual Allerton Conference on Communication, Control and Computing, Allerton House, Illinois, Sept. 2008
10.1109/ALLERTON.2008.4797652
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Interior-point methods are state-of-the-art algorithms for solving linear programming (LP) problems with polynomial complexity. Specifically, the Karmarkar algorithm typically solves LP problems in time O(n^{3.5}), where $n$ is the number of unknown variables. Karmarkar's celebrated algorithm is known to be an instan...
[ { "created": "Thu, 9 Oct 2008 11:49:12 GMT", "version": "v1" } ]
2009-04-16
[ [ "Bickson", "Danny", "" ], [ "Tock", "Yoav", "" ], [ "Shental", "Ori", "" ], [ "Dolev", "Danny", "" ] ]
Interior-point methods are state-of-the-art algorithms for solving linear programming (LP) problems with polynomial complexity. Specifically, the Karmarkar algorithm typically solves LP problems in time O(n^{3.5}), where $n$ is the number of unknown variables. Karmarkar's celebrated algorithm is known to be an instance...
2201.11451
Hans-Martin Heyn
Hans-Martin Heyn and Padmini Subbiash and Jennifer Linder and Eric Knauss and Olof Eriksson
Setting AI in context: A case study on defining the context and operational design domain for automated driving
Accepted for the 28th International Working Conference on Requirement Engineering: Foundation for Software Quality
null
null
null
cs.SE cs.LG
http://creativecommons.org/licenses/by/4.0/
[Context and motivation] For automated driving systems, the operational context needs to be known in order to state guarantees on performance and safety. The operational design domain (ODD) is an abstraction of the operational context, and its definition is an integral part of the system development process. [Questio...
[ { "created": "Thu, 27 Jan 2022 11:26:32 GMT", "version": "v1" } ]
2022-01-28
[ [ "Heyn", "Hans-Martin", "" ], [ "Subbiash", "Padmini", "" ], [ "Linder", "Jennifer", "" ], [ "Knauss", "Eric", "" ], [ "Eriksson", "Olof", "" ] ]
[Context and motivation] For automated driving systems, the operational context needs to be known in order to state guarantees on performance and safety. The operational design domain (ODD) is an abstraction of the operational context, and its definition is an integral part of the system development process. [Question ...
cs/0512062
Matteo Gagliolo
Juergen Schmidhuber, Matteo Gagliolo, Daan Wierstra, Faustino Gomez
Evolino for recurrent support vector machines
10 pages, 2 figures
null
null
IDSIA-19-05 version 2.0
cs.NE
null
Traditional Support Vector Machines (SVMs) need pre-wired finite time windows to predict and classify time series. They do not have an internal state necessary to deal with sequences involving arbitrary long-term dependencies. Here we introduce a new class of recurrent, truly sequential SVM-like devices with internal...
[ { "created": "Thu, 15 Dec 2005 15:05:22 GMT", "version": "v1" } ]
2007-05-23
[ [ "Schmidhuber", "Juergen", "" ], [ "Gagliolo", "Matteo", "" ], [ "Wierstra", "Daan", "" ], [ "Gomez", "Faustino", "" ] ]
Traditional Support Vector Machines (SVMs) need pre-wired finite time windows to predict and classify time series. They do not have an internal state necessary to deal with sequences involving arbitrary long-term dependencies. Here we introduce a new class of recurrent, truly sequential SVM-like devices with internal a...
1809.02958
Nare Karapetyan
Jason Moulton, Nare Karapetyan, Alberto Quattrini Li, and Ioannis Rekleitis
External Force Field Modeling for Autonomous Surface Vehicles
In proceedings of International Symposium of Experimental Robotics (ISER), 2018
null
10.1007/978-3-030-33950-0_29
null
cs.RO
http://creativecommons.org/licenses/by-nc-sa/4.0/
Operating in the presence of strong adverse forces is a particularly challenging problem in field robotics. In most robotic operations where the robot is not firmly grounded, such as aerial, surface, and underwater, minimal external forces are assumed as the standard operating procedures. The first action for operati...
[ { "created": "Sun, 9 Sep 2018 11:36:42 GMT", "version": "v1" } ]
2021-01-13
[ [ "Moulton", "Jason", "" ], [ "Karapetyan", "Nare", "" ], [ "Li", "Alberto Quattrini", "" ], [ "Rekleitis", "Ioannis", "" ] ]
Operating in the presence of strong adverse forces is a particularly challenging problem in field robotics. In most robotic operations where the robot is not firmly grounded, such as aerial, surface, and underwater, minimal external forces are assumed as the standard operating procedures. The first action for operating...
1501.06042
Qi Zhang
Qi Zhang, Meizhu Li, Yong Deng, Sankaran Mahadevan
Tsallis entropy of complex networks
12 pages
null
null
null
cs.SI physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
How complex of the complex networks has attracted many researchers to explore it. The entropy is an useful method to describe the degree of the $complex$ of the complex networks. In this paper, a new method which is based on the Tsallis entropy is proposed to describe the $complex$ of the complex networks. The result...
[ { "created": "Sat, 24 Jan 2015 13:51:28 GMT", "version": "v1" } ]
2015-01-29
[ [ "Zhang", "Qi", "" ], [ "Li", "Meizhu", "" ], [ "Deng", "Yong", "" ], [ "Mahadevan", "Sankaran", "" ] ]
How complex of the complex networks has attracted many researchers to explore it. The entropy is an useful method to describe the degree of the $complex$ of the complex networks. In this paper, a new method which is based on the Tsallis entropy is proposed to describe the $complex$ of the complex networks. The results ...
1810.10188
Sanket Biswas
Subhajit Maity, Sujan Sarkar, Avinaba Tapadar, Ayan Dutta, Sanket Biswas, Sayon Nayek, Pritam Saha
Fault Area Detection in Leaf Diseases using k-means Clustering
This article is of 5 pages in IEEE format. It has been presented as a full paper in International Conference on Trends in Electronics and Informatics (ICOEI 2018) and is currently under the proceedings of the conference and yet to be published in IEEE Xplore
null
10.1109/ICOEI.2018.8553913
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
With increasing population the crisis of food is getting bigger day by day.In this time of crisis,the leaf disease of crops is the biggest problem in the food industry.In this paper, we have addressed that problem and proposed an efficient method to detect leaf disease.Leaf diseases can be detected from sample images...
[ { "created": "Wed, 24 Oct 2018 05:08:08 GMT", "version": "v1" } ]
2021-05-18
[ [ "Maity", "Subhajit", "" ], [ "Sarkar", "Sujan", "" ], [ "Tapadar", "Avinaba", "" ], [ "Dutta", "Ayan", "" ], [ "Biswas", "Sanket", "" ], [ "Nayek", "Sayon", "" ], [ "Saha", "Pritam", "" ] ]
With increasing population the crisis of food is getting bigger day by day.In this time of crisis,the leaf disease of crops is the biggest problem in the food industry.In this paper, we have addressed that problem and proposed an efficient method to detect leaf disease.Leaf diseases can be detected from sample images o...
2208.04190
Mehdi Khoshboresh-Masouleh
Mehdi Khoshboresh-Masouleh and Reza Shah-Hosseini
SA-NET.v2: Real-time vehicle detection from oblique UAV images with use of uncertainty estimation in deep meta-learning
null
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022
10.5194/isprs-archives-XLVI-M-2-2022-141-2022
null
cs.CV cs.LG
http://creativecommons.org/licenses/by/4.0/
In recent years, unmanned aerial vehicle (UAV) imaging is a suitable solution for real-time monitoring different vehicles on the urban scale. Real-time vehicle detection with the use of uncertainty estimation in deep meta-learning for the portable platforms (e.g., UAV) potentially improves video understanding in real...
[ { "created": "Thu, 4 Aug 2022 09:08:47 GMT", "version": "v1" } ]
2022-08-09
[ [ "Khoshboresh-Masouleh", "Mehdi", "" ], [ "Shah-Hosseini", "Reza", "" ] ]
In recent years, unmanned aerial vehicle (UAV) imaging is a suitable solution for real-time monitoring different vehicles on the urban scale. Real-time vehicle detection with the use of uncertainty estimation in deep meta-learning for the portable platforms (e.g., UAV) potentially improves video understanding in real-w...
2001.02568
Xishun Wang
Xishun Wang and Zhouwang Yang and Xingye Yue and Hui Wang
A Group Norm Regularized Factorization Model for Subspace Segmentation
null
IEEE ACCESS,8:106601-106613,2020
10.1109/ACCESS.2020.3000816
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Subspace segmentation assumes that data comes from the union of different subspaces and the purpose of segmentation is to partition the data into the corresponding subspace. Low-rank representation (LRR) is a classic spectral-type method for solving subspace segmentation problems, that is, one first obtains an affini...
[ { "created": "Wed, 8 Jan 2020 15:20:51 GMT", "version": "v1" }, { "created": "Tue, 14 Jul 2020 09:13:40 GMT", "version": "v2" } ]
2020-07-15
[ [ "Wang", "Xishun", "" ], [ "Yang", "Zhouwang", "" ], [ "Yue", "Xingye", "" ], [ "Wang", "Hui", "" ] ]
Subspace segmentation assumes that data comes from the union of different subspaces and the purpose of segmentation is to partition the data into the corresponding subspace. Low-rank representation (LRR) is a classic spectral-type method for solving subspace segmentation problems, that is, one first obtains an affinity...
2301.08140
Alistair Weld
Alistair Weld, Joao Cartucho, Chi Xu, Joseph Davids and Stamatia Giannarou
Regularising disparity estimation via multi task learning with structured light reconstruction
null
Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization 2022
10.1080/21681163.2022.2156391
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
3D reconstruction is a useful tool for surgical planning and guidance. However, the lack of available medical data stunts research and development in this field, as supervised deep learning methods for accurate disparity estimation rely heavily on large datasets containing ground truth information. Alternative approa...
[ { "created": "Thu, 19 Jan 2023 15:54:52 GMT", "version": "v1" } ]
2023-04-06
[ [ "Weld", "Alistair", "" ], [ "Cartucho", "Joao", "" ], [ "Xu", "Chi", "" ], [ "Davids", "Joseph", "" ], [ "Giannarou", "Stamatia", "" ] ]
3D reconstruction is a useful tool for surgical planning and guidance. However, the lack of available medical data stunts research and development in this field, as supervised deep learning methods for accurate disparity estimation rely heavily on large datasets containing ground truth information. Alternative approach...
1909.10034
Kevin Lynch
Jian Shi and Kevin M. Lynch
In-hand Sliding Regrasp with Spring-Sliding Compliance
null
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We investigate in-hand regrasping by pushing an object against an external constraint and allowing sliding at the fingertips. Each fingertip is modeled as attached to a multidimensional spring mounted to a position-controlled anchor. Spring compliance maps contact forces to spring compressions, ensuring the fingers r...
[ { "created": "Sun, 22 Sep 2019 15:51:59 GMT", "version": "v1" } ]
2019-09-24
[ [ "Shi", "Jian", "" ], [ "Lynch", "Kevin M.", "" ] ]
We investigate in-hand regrasping by pushing an object against an external constraint and allowing sliding at the fingertips. Each fingertip is modeled as attached to a multidimensional spring mounted to a position-controlled anchor. Spring compliance maps contact forces to spring compressions, ensuring the fingers rem...
2001.06209
Florentin Liebmann MSc
Florentin Liebmann, Simon Roner, Marco von Atzigen, Florian Wanivenhaus, Caroline Neuhaus, Jos\'e Spirig, Davide Scaramuzza, Reto Sutter, Jess Snedeker, Mazda Farshad, Philipp F\"urnstahl
Registration made easy -- standalone orthopedic navigation with HoloLens
6 pages, 5 figures, accepted at CVPR 2019 workshop on Computer Vision Applications for Mixed Reality Headsets (https://docs.microsoft.com/en-us/windows/mixed-reality/cvpr-2019)
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In surgical navigation, finding correspondence between preoperative plan and intraoperative anatomy, the so-called registration task, is imperative. One promising approach is to intraoperatively digitize anatomy and register it with the preoperative plan. State-of-the-art commercial navigation systems implement such ...
[ { "created": "Fri, 17 Jan 2020 09:22:21 GMT", "version": "v1" } ]
2020-01-20
[ [ "Liebmann", "Florentin", "" ], [ "Roner", "Simon", "" ], [ "von Atzigen", "Marco", "" ], [ "Wanivenhaus", "Florian", "" ], [ "Neuhaus", "Caroline", "" ], [ "Spirig", "José", "" ], [ "Scaramuzza", "Davide", ...
In surgical navigation, finding correspondence between preoperative plan and intraoperative anatomy, the so-called registration task, is imperative. One promising approach is to intraoperatively digitize anatomy and register it with the preoperative plan. State-of-the-art commercial navigation systems implement such ap...
2106.02677
Jing Cheng
Jing Cheng, Chao Shen
Relay Selection and Resource Allocation for Ultra-Reliable Uplink Transmission in Smart Factory Scenarios
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, a relay-aided two-phase transmission protocol for the smart factory scenario is proposed. This protocol aims at enabling all robots' ultra-reliable target number of uplink critical data transmission within a latency constraint by jointly optimizing the relay selection, resource block (RB) assignment, a...
[ { "created": "Fri, 4 Jun 2021 19:17:30 GMT", "version": "v1" } ]
2021-06-08
[ [ "Cheng", "Jing", "" ], [ "Shen", "Chao", "" ] ]
In this paper, a relay-aided two-phase transmission protocol for the smart factory scenario is proposed. This protocol aims at enabling all robots' ultra-reliable target number of uplink critical data transmission within a latency constraint by jointly optimizing the relay selection, resource block (RB) assignment, and...
1506.07933
Amir Gholami
Amir Gholami, Judith Hill, Dhairya Malhotra, George Biros
AccFFT: A library for distributed-memory FFT on CPU and GPU architectures
Parallel FFT Library
null
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a new library for parallel distributed Fast Fourier Transforms (FFT). The importance of FFT in science and engineering and the advances in high performance computing necessitate further improvements. AccFFT extends existing FFT libraries for CUDA-enabled Graphics Processing Units (GPUs) to distributed memo...
[ { "created": "Fri, 26 Jun 2015 01:19:31 GMT", "version": "v1" }, { "created": "Tue, 22 Sep 2015 19:58:27 GMT", "version": "v2" }, { "created": "Wed, 25 May 2016 20:06:16 GMT", "version": "v3" } ]
2016-05-27
[ [ "Gholami", "Amir", "" ], [ "Hill", "Judith", "" ], [ "Malhotra", "Dhairya", "" ], [ "Biros", "George", "" ] ]
We present a new library for parallel distributed Fast Fourier Transforms (FFT). The importance of FFT in science and engineering and the advances in high performance computing necessitate further improvements. AccFFT extends existing FFT libraries for CUDA-enabled Graphics Processing Units (GPUs) to distributed memory...
1909.03983
Debarpita Santra
Debarpita Santra, S. K. Basu, J. K. Mondal, Subrata Goswami
Lattice-Based Fuzzy Medical Expert System for Low Back Pain Management
null
null
null
null
cs.AI
http://creativecommons.org/licenses/by/4.0/
Low Back Pain (LBP) is a common medical condition that deprives many individuals worldwide of their normal routine activities. In the absence of external biomarkers, diagnosis of LBP is quite challenging. It requires dealing with several clinical variables, which have no precisely quantified values. Aiming at the dev...
[ { "created": "Mon, 9 Sep 2019 16:44:51 GMT", "version": "v1" } ]
2019-09-10
[ [ "Santra", "Debarpita", "" ], [ "Basu", "S. K.", "" ], [ "Mondal", "J. K.", "" ], [ "Goswami", "Subrata", "" ] ]
Low Back Pain (LBP) is a common medical condition that deprives many individuals worldwide of their normal routine activities. In the absence of external biomarkers, diagnosis of LBP is quite challenging. It requires dealing with several clinical variables, which have no precisely quantified values. Aiming at the devel...
0801.1282
Shashi Kiran Chilappagari
Shashi Kiran Chilappagari, Anantha Raman Krishnan, Bane Vasic
LDPC Codes Which Can Correct Three Errors Under Iterative Decoding
5 pages, 3 figures, submitted to IEEE Information Theory Workshop (ITW), 2008
null
10.1109/ITW.2008.4578696
null
cs.IT math.IT
null
In this paper, we provide necessary and sufficient conditions for a column-weight-three LDPC code to correct three errors when decoded using Gallager A algorithm. We then provide a construction technique which results in a code satisfying the above conditions. We also provide numerical assessment of code performance ...
[ { "created": "Tue, 8 Jan 2008 17:12:21 GMT", "version": "v1" } ]
2016-11-17
[ [ "Chilappagari", "Shashi Kiran", "" ], [ "Krishnan", "Anantha Raman", "" ], [ "Vasic", "Bane", "" ] ]
In this paper, we provide necessary and sufficient conditions for a column-weight-three LDPC code to correct three errors when decoded using Gallager A algorithm. We then provide a construction technique which results in a code satisfying the above conditions. We also provide numerical assessment of code performance vi...
1312.4077
Srinjoy Ganguly Mr.
Arpita Chakraborty, Srinjoy Ganguly, Mrinal Kanti Naskar and Anupam Karmakar
A Trust Based Congestion Aware Hybrid Ant Colony Optimization Algorithm for Energy Efficient Routing in Wireless Sensor Networks (TC-ACO)
6 pages, 5 figures and 2 tables (Conference Paper)
Proceedings of the IEEE International Conference on Advanced Computing (ICoAC)-2013, pp.XX-XX,Chennai, India, 18 - 20 December (2013)
10.1109/ICoAC.2013.6921940
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Congestion is a problem of paramount importance in resource constrained Wireless Sensor Networks, especially for large networks, where the traffic loads exceed the available capacity of the resources. Sensor nodes are prone to failure and the misbehavior of these faulty nodes creates further congestion. The resulting...
[ { "created": "Sat, 14 Dec 2013 18:41:22 GMT", "version": "v1" } ]
2016-11-18
[ [ "Chakraborty", "Arpita", "" ], [ "Ganguly", "Srinjoy", "" ], [ "Naskar", "Mrinal Kanti", "" ], [ "Karmakar", "Anupam", "" ] ]
Congestion is a problem of paramount importance in resource constrained Wireless Sensor Networks, especially for large networks, where the traffic loads exceed the available capacity of the resources. Sensor nodes are prone to failure and the misbehavior of these faulty nodes creates further congestion. The resulting e...
2405.06931
Jaekeol Choi
Jaekeol Choi
Identifying Key Terms in Prompts for Relevance Evaluation with GPT Models
19pages, 2 figures
International Journal of Natural Language Computing, April 2024, Volume 13, Number 2
null
null
cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Relevance evaluation of a query and a passage is essential in Information Retrieval (IR). Recently, numerous studies have been conducted on tasks related to relevance judgment using Large Language Models (LLMs) such as GPT-4, demonstrating significant improvements. However, the efficacy of LLMs is considerably influe...
[ { "created": "Sat, 11 May 2024 06:30:13 GMT", "version": "v1" } ]
2024-05-14
[ [ "Choi", "Jaekeol", "" ] ]
Relevance evaluation of a query and a passage is essential in Information Retrieval (IR). Recently, numerous studies have been conducted on tasks related to relevance judgment using Large Language Models (LLMs) such as GPT-4, demonstrating significant improvements. However, the efficacy of LLMs is considerably influenc...
cs/0312019
Aniello Buonocore
Laura Bozzelli, Massimo Benerecetti and Adriano Peron
Verification of recursive parallel systems
49 pages, 1 figure
null
null
null
cs.LO
null
In this paper we consider the problem of proving properties of infinite behaviour of formalisms suitable to describe (infinite state) systems with recursion and parallelism. As a formal setting, we consider the framework of Process Rewriting Systems (PRSs). For a meaningfull fragment of PRSs, allowing to accommodate ...
[ { "created": "Thu, 11 Dec 2003 14:54:06 GMT", "version": "v1" } ]
2011-11-09
[ [ "Bozzelli", "Laura", "" ], [ "Benerecetti", "Massimo", "" ], [ "Peron", "Adriano", "" ] ]
In this paper we consider the problem of proving properties of infinite behaviour of formalisms suitable to describe (infinite state) systems with recursion and parallelism. As a formal setting, we consider the framework of Process Rewriting Systems (PRSs). For a meaningfull fragment of PRSs, allowing to accommodate bo...
2006.02081
Olivier Bailleux
Olivier Bailleux (LIB), Yacine Boufkhad (LIAFA)
Constraint Reductions
null
null
null
null
cs.AI cs.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This is a commentary on the CP 2003 paper "Efficient cnf encoding of boolean cardinality constraints". After recalling its context, we outline a classification of Constraints with respect to their deductive power regarding General Arc Consistency (GAC).
[ { "created": "Wed, 3 Jun 2020 07:37:05 GMT", "version": "v1" } ]
2020-06-04
[ [ "Bailleux", "Olivier", "", "LIB" ], [ "Boufkhad", "Yacine", "", "LIAFA" ] ]
This is a commentary on the CP 2003 paper "Efficient cnf encoding of boolean cardinality constraints". After recalling its context, we outline a classification of Constraints with respect to their deductive power regarding General Arc Consistency (GAC).
1901.06722
Jean Lienard
Jean F. Li\'enard
Fitting 3D Shapes from Partial and Noisy Point Clouds with Evolutionary Computing
null
null
null
null
cs.CV q-bio.QM
http://creativecommons.org/licenses/by-sa/4.0/
Point clouds obtained from photogrammetry are noisy and incomplete models of reality. We propose an evolutionary optimization methodology that is able to approximate the underlying object geometry on such point clouds. This approach assumes a priori knowledge on the 3D structure modeled and enables the identification...
[ { "created": "Sun, 20 Jan 2019 20:12:34 GMT", "version": "v1" } ]
2019-01-23
[ [ "Liénard", "Jean F.", "" ] ]
Point clouds obtained from photogrammetry are noisy and incomplete models of reality. We propose an evolutionary optimization methodology that is able to approximate the underlying object geometry on such point clouds. This approach assumes a priori knowledge on the 3D structure modeled and enables the identification o...
2203.10225
Xingda Wei
Xingda Wei, Fangming Lu, Tianxia Wang, Jinyu Gu, Yuhan Yang, Rong Chen, and Haibo Chen
No Provisioned Concurrency: Fast RDMA-codesigned Remote Fork for Serverless Computing
To appear in OSDI'23
null
null
null
cs.OS cs.DC
http://creativecommons.org/licenses/by/4.0/
Serverless platforms essentially face a tradeoff between container startup time and provisioned concurrency (i.e., cached instances), which is further exaggerated by the frequent need for remote container initialization. This paper presents MITOSIS, an operating system primitive that provides fast remote fork, which ...
[ { "created": "Sat, 19 Mar 2022 02:49:55 GMT", "version": "v1" }, { "created": "Thu, 25 Aug 2022 03:35:43 GMT", "version": "v2" }, { "created": "Sat, 17 Sep 2022 01:52:44 GMT", "version": "v3" } ]
2022-09-20
[ [ "Wei", "Xingda", "" ], [ "Lu", "Fangming", "" ], [ "Wang", "Tianxia", "" ], [ "Gu", "Jinyu", "" ], [ "Yang", "Yuhan", "" ], [ "Chen", "Rong", "" ], [ "Chen", "Haibo", "" ] ]
Serverless platforms essentially face a tradeoff between container startup time and provisioned concurrency (i.e., cached instances), which is further exaggerated by the frequent need for remote container initialization. This paper presents MITOSIS, an operating system primitive that provides fast remote fork, which ex...
2109.09051
Chunming Tang
Qi Liu, Cunsheng Ding, Sihem Mesnager, Chunming Tang, Vladimir D. Tonchev
On Infinite Families of Narrow-Sense Antiprimitive BCH Codes Admitting 3-Transitive Automorphism Groups and their Consequences
arXiv admin note: text overlap with arXiv:2010.09448
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The Bose-Chaudhuri-Hocquenghem (BCH) codes are a well-studied subclass of cyclic codes that have found numerous applications in error correction and notably in quantum information processing. A subclass of attractive BCH codes is the narrow-sense BCH codes over the Galois field $\mathrm{GF}(q)$ with length $q+1$, whi...
[ { "created": "Sun, 19 Sep 2021 03:10:59 GMT", "version": "v1" } ]
2021-09-21
[ [ "Liu", "Qi", "" ], [ "Ding", "Cunsheng", "" ], [ "Mesnager", "Sihem", "" ], [ "Tang", "Chunming", "" ], [ "Tonchev", "Vladimir D.", "" ] ]
The Bose-Chaudhuri-Hocquenghem (BCH) codes are a well-studied subclass of cyclic codes that have found numerous applications in error correction and notably in quantum information processing. A subclass of attractive BCH codes is the narrow-sense BCH codes over the Galois field $\mathrm{GF}(q)$ with length $q+1$, which...
1803.10146
Ke Wang
Ke Wang, Junbo Zhang, Yujun Wang, Lei Xie
Empirical Evaluation of Speaker Adaptation on DNN based Acoustic Model
Interspeech 2018
Proceedings of Interspeech, 2018, pp. 2429-2433
10.21437/Interspeech.2018-1897
null
cs.SD cs.CL eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Speaker adaptation aims to estimate a speaker specific acoustic model from a speaker independent one to minimize the mismatch between the training and testing conditions arisen from speaker variabilities. A variety of neural network adaptation methods have been proposed since deep learning models have become the main...
[ { "created": "Tue, 27 Mar 2018 15:39:46 GMT", "version": "v1" }, { "created": "Sun, 17 Jun 2018 08:14:42 GMT", "version": "v2" }, { "created": "Thu, 25 Oct 2018 07:11:54 GMT", "version": "v3" } ]
2019-01-01
[ [ "Wang", "Ke", "" ], [ "Zhang", "Junbo", "" ], [ "Wang", "Yujun", "" ], [ "Xie", "Lei", "" ] ]
Speaker adaptation aims to estimate a speaker specific acoustic model from a speaker independent one to minimize the mismatch between the training and testing conditions arisen from speaker variabilities. A variety of neural network adaptation methods have been proposed since deep learning models have become the main s...
2004.05224
Yaodong Cui
Yaodong Cui, Ren Chen, Wenbo Chu, Long Chen, Daxin Tian, Ying Li, Dongpu Cao
Deep Learning for Image and Point Cloud Fusion in Autonomous Driving: A Review
null
IEEE Transactions on Intelligent Transportation Systems.(2021)
10.1109/TITS.2020.3023541
null
cs.CV cs.LG cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Autonomous vehicles were experiencing rapid development in the past few years. However, achieving full autonomy is not a trivial task, due to the nature of the complex and dynamic driving environment. Therefore, autonomous vehicles are equipped with a suite of different sensors to ensure robust, accurate environmenta...
[ { "created": "Fri, 10 Apr 2020 20:43:14 GMT", "version": "v1" }, { "created": "Wed, 9 Sep 2020 14:12:13 GMT", "version": "v2" } ]
2021-04-08
[ [ "Cui", "Yaodong", "" ], [ "Chen", "Ren", "" ], [ "Chu", "Wenbo", "" ], [ "Chen", "Long", "" ], [ "Tian", "Daxin", "" ], [ "Li", "Ying", "" ], [ "Cao", "Dongpu", "" ] ]
Autonomous vehicles were experiencing rapid development in the past few years. However, achieving full autonomy is not a trivial task, due to the nature of the complex and dynamic driving environment. Therefore, autonomous vehicles are equipped with a suite of different sensors to ensure robust, accurate environmental ...
1609.08513
Sebastian Wild
Markus E. Nebel, Elisabeth Neumann, Sebastian Wild
Median-of-k Jumplists and Dangling-Min BSTs
appears in ANALCO 2019
null
10.1137/1.9781611975505.8
null
cs.DS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We extend randomized jumplists introduced by Br\"onnimann et al. (STACS 2003) to choose jump-pointer targets as median of a small sample for better search costs, and present randomized algorithms with expected $O(\log n)$ time complexity that maintain the probability distribution of jump pointers upon insertions and ...
[ { "created": "Tue, 27 Sep 2016 16:05:10 GMT", "version": "v1" }, { "created": "Wed, 28 Sep 2016 08:59:31 GMT", "version": "v2" }, { "created": "Tue, 30 Oct 2018 15:01:46 GMT", "version": "v3" } ]
2019-05-07
[ [ "Nebel", "Markus E.", "" ], [ "Neumann", "Elisabeth", "" ], [ "Wild", "Sebastian", "" ] ]
We extend randomized jumplists introduced by Br\"onnimann et al. (STACS 2003) to choose jump-pointer targets as median of a small sample for better search costs, and present randomized algorithms with expected $O(\log n)$ time complexity that maintain the probability distribution of jump pointers upon insertions and de...
1811.08586
Changjian Li
Changjian Li, Krzysztof Czarnecki
Urban Driving with Multi-Objective Deep Reinforcement Learning
Accepted at AAMAS 2019
null
null
null
cs.LG cs.AI cs.RO
http://creativecommons.org/licenses/by/4.0/
Autonomous driving is a challenging domain that entails multiple aspects: a vehicle should be able to drive to its destination as fast as possible while avoiding collision, obeying traffic rules and ensuring the comfort of passengers. In this paper, we present a deep learning variant of thresholded lexicographic Q-le...
[ { "created": "Wed, 21 Nov 2018 03:36:52 GMT", "version": "v1" }, { "created": "Tue, 26 Feb 2019 22:03:26 GMT", "version": "v2" } ]
2019-02-28
[ [ "Li", "Changjian", "" ], [ "Czarnecki", "Krzysztof", "" ] ]
Autonomous driving is a challenging domain that entails multiple aspects: a vehicle should be able to drive to its destination as fast as possible while avoiding collision, obeying traffic rules and ensuring the comfort of passengers. In this paper, we present a deep learning variant of thresholded lexicographic Q-lear...
1912.04376
Mohammad Rashidi
Tyler Dauphinee, Nikunj Patel, Mohammad Rashidi
Modular Multimodal Architecture for Document Classification
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Page classification is a crucial component to any document analysis system, allowing for complex branching control flows for different components of a given document. Utilizing both the visual and textual content of a page, the proposed method exceeds the current state-of-the-art performance on the RVL-CDIP benchmark...
[ { "created": "Mon, 9 Dec 2019 21:06:15 GMT", "version": "v1" } ]
2019-12-11
[ [ "Dauphinee", "Tyler", "" ], [ "Patel", "Nikunj", "" ], [ "Rashidi", "Mohammad", "" ] ]
Page classification is a crucial component to any document analysis system, allowing for complex branching control flows for different components of a given document. Utilizing both the visual and textual content of a page, the proposed method exceeds the current state-of-the-art performance on the RVL-CDIP benchmark a...
cs/0206034
Atsushi Fujii
Masatoshi Fukui, Shigeto Higuchi, Youichi Nakatani, Masao Tanaka, Atsushi Fujii and Tetsuya Ishikawa
Applying a Hybrid Query Translation Method to Japanese/English Cross-Language Patent Retrieval
null
ACM SIGIR 2000 Workshop on Patent Retrieval, July, 2000
null
null
cs.CL
null
This paper applies an existing query translation method to cross-language patent retrieval. In our method, multiple dictionaries are used to derive all possible translations for an input query, and collocational statistics are used to resolve translation ambiguity. We used Japanese/English parallel patent abstracts t...
[ { "created": "Mon, 24 Jun 2002 07:46:06 GMT", "version": "v1" } ]
2007-05-23
[ [ "Fukui", "Masatoshi", "" ], [ "Higuchi", "Shigeto", "" ], [ "Nakatani", "Youichi", "" ], [ "Tanaka", "Masao", "" ], [ "Fujii", "Atsushi", "" ], [ "Ishikawa", "Tetsuya", "" ] ]
This paper applies an existing query translation method to cross-language patent retrieval. In our method, multiple dictionaries are used to derive all possible translations for an input query, and collocational statistics are used to resolve translation ambiguity. We used Japanese/English parallel patent abstracts to ...
2206.13072
Yan-Li Lee
Yan-Li Lee, Tao Zhou, Kexin Yang, Yajun Du, Liming Pan
Personalized recommendation system based on social relationships and historical behaviors
28 pages, 7 figures
null
null
null
cs.SI
http://creativecommons.org/licenses/by-nc-sa/4.0/
Previous studies show that recommendation algorithms based on historical behaviors of users can provide satisfactory recommendation performance. Many of these algorithms pay attention to the interest of users, while ignore the influence of social relationships on user behaviors. Social relationships not only carry in...
[ { "created": "Mon, 27 Jun 2022 06:33:01 GMT", "version": "v1" }, { "created": "Thu, 14 Jul 2022 13:05:14 GMT", "version": "v2" } ]
2022-07-15
[ [ "Lee", "Yan-Li", "" ], [ "Zhou", "Tao", "" ], [ "Yang", "Kexin", "" ], [ "Du", "Yajun", "" ], [ "Pan", "Liming", "" ] ]
Previous studies show that recommendation algorithms based on historical behaviors of users can provide satisfactory recommendation performance. Many of these algorithms pay attention to the interest of users, while ignore the influence of social relationships on user behaviors. Social relationships not only carry intr...
1202.0116
Yuriy Ostapov
Yuriy Ostapov
Inference and Plausible Reasoning in a Natural Language Understanding System Based on Object-Oriented Semantics
null
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Algorithms of inference in a computer system oriented to input and semantic processing of text information are presented. Such inference is necessary for logical questions when the direct comparison of objects from a question and database can not give a result. The following classes of problems are considered: a chec...
[ { "created": "Wed, 1 Feb 2012 08:36:50 GMT", "version": "v1" } ]
2012-02-02
[ [ "Ostapov", "Yuriy", "" ] ]
Algorithms of inference in a computer system oriented to input and semantic processing of text information are presented. Such inference is necessary for logical questions when the direct comparison of objects from a question and database can not give a result. The following classes of problems are considered: a check ...
1602.04034
Christopher Blake
Christopher G. Blake and Frank R. Kschischang
On Scaling Rules for Energy of VLSI Polar Encoders and Decoders
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
It is shown that all polar encoding schemes of rate $R>\frac{1}{2}$ of block length $N$ implemented according to the Thompson VLSI model must take energy $E\ge\Omega\left(N^{3/2}\right)$. This lower bound is achievable up to polylogarithmic factors using a mesh network topology defined by Thompson and the encoding al...
[ { "created": "Fri, 12 Feb 2016 12:38:58 GMT", "version": "v1" } ]
2016-02-15
[ [ "Blake", "Christopher G.", "" ], [ "Kschischang", "Frank R.", "" ] ]
It is shown that all polar encoding schemes of rate $R>\frac{1}{2}$ of block length $N$ implemented according to the Thompson VLSI model must take energy $E\ge\Omega\left(N^{3/2}\right)$. This lower bound is achievable up to polylogarithmic factors using a mesh network topology defined by Thompson and the encoding algo...
1812.10315
Amit Kirschenbaum
Milan Dojchinovski and Julio Hernandez and Markus Ackermann and Amit Kirschenbaum and Sebastian Hellmann
DBpedia NIF: Open, Large-Scale and Multilingual Knowledge Extraction Corpus
15 pages, 1 figure, 4 tables, 1 listing
null
null
null
cs.CL cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the past decade, the DBpedia community has put significant amount of effort on developing technical infrastructure and methods for efficient extraction of structured information from Wikipedia. These efforts have been primarily focused on harvesting, refinement and publishing semi-structured information found in W...
[ { "created": "Wed, 26 Dec 2018 13:50:50 GMT", "version": "v1" } ]
2018-12-27
[ [ "Dojchinovski", "Milan", "" ], [ "Hernandez", "Julio", "" ], [ "Ackermann", "Markus", "" ], [ "Kirschenbaum", "Amit", "" ], [ "Hellmann", "Sebastian", "" ] ]
In the past decade, the DBpedia community has put significant amount of effort on developing technical infrastructure and methods for efficient extraction of structured information from Wikipedia. These efforts have been primarily focused on harvesting, refinement and publishing semi-structured information found in Wik...
1411.6027
Bernhard Rumpe
Radu Grosu, Bernhard Rumpe
Concurrent Timed Port Automata
34 pages, 3 figures, Technical Report TUM-I9533, TU Munich, 1995
null
null
TUM-I9533
cs.FL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a new and powerful class of automata which are explicitly concurrent and allow a very simple definition of composition. The novelty of these automata is their time-synchronous message-asynchronous communication mechanism. Time synchrony is obtained by using global clock. Message asynchrony is obtained by r...
[ { "created": "Mon, 10 Nov 2014 13:07:05 GMT", "version": "v1" } ]
2014-11-25
[ [ "Grosu", "Radu", "" ], [ "Rumpe", "Bernhard", "" ] ]
We present a new and powerful class of automata which are explicitly concurrent and allow a very simple definition of composition. The novelty of these automata is their time-synchronous message-asynchronous communication mechanism. Time synchrony is obtained by using global clock. Message asynchrony is obtained by req...
1804.08850
Bin Chen
Bin Chen, Chigo Okonkwo, Hartmut Hafermann, Alex Alvarado
Increasing Achievable Information Rates via Geometric Shaping
Additional references have been added
null
10.1109/ECOC.2018.8535358
null
cs.IT eess.SP math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Achievable information rates are used as a metric to design novel modulation formats via geometric shaping. The proposed geometrically shaped 256-ary constellation achieves SNR gains of up to 1.18 dB.
[ { "created": "Tue, 24 Apr 2018 06:12:25 GMT", "version": "v1" }, { "created": "Tue, 1 May 2018 15:59:41 GMT", "version": "v2" } ]
2020-06-05
[ [ "Chen", "Bin", "" ], [ "Okonkwo", "Chigo", "" ], [ "Hafermann", "Hartmut", "" ], [ "Alvarado", "Alex", "" ] ]
Achievable information rates are used as a metric to design novel modulation formats via geometric shaping. The proposed geometrically shaped 256-ary constellation achieves SNR gains of up to 1.18 dB.
2407.15326
Xu Long
Long Xu
Intelligence Preschool Education System based on Multimodal Interaction Systems and AI
null
null
null
null
cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Rapid progress in AI technologies has generated considerable interest in their potential to address challenges in every field and education is no exception. Improving learning outcomes and providing relevant education to all have been dominant themes universally, both in the developed and developing world. And they h...
[ { "created": "Mon, 22 Jul 2024 02:12:42 GMT", "version": "v1" }, { "created": "Fri, 2 Aug 2024 03:35:05 GMT", "version": "v2" } ]
2024-08-05
[ [ "Xu", "Long", "" ] ]
Rapid progress in AI technologies has generated considerable interest in their potential to address challenges in every field and education is no exception. Improving learning outcomes and providing relevant education to all have been dominant themes universally, both in the developed and developing world. And they hav...
2401.06366
Minzhao Lyu
Minzhao Lyu and Sharat Chandra Madanapalli and Arun Vishwanath and Vijay Sivaraman
Network Anatomy and Real-Time Measurement of Nvidia GeForce NOW Cloud Gaming
This paper is accepted at Passive and Active Measurement (PAM) conference Mar 2024
M. Lyu, S. C. Madanapalli, A. Vishwanath, and V. Sivaraman, "Network Anatomy and Real-Time Measurement of Nvidia GeForce NOW Cloud Gaming", in Proc. PAM, Virtual Event, Mar 2024
10.1007/978-3-031-56249-5_3
null
cs.NI cs.PF
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Cloud gaming, wherein game graphics is rendered in the cloud and streamed back to the user as real-time video, expands the gaming market to billions of users who do not have gaming consoles or high-power graphics PCs. Companies like Nvidia, Amazon, Sony and Microsoft are investing in building cloud gaming platforms t...
[ { "created": "Fri, 12 Jan 2024 04:33:55 GMT", "version": "v1" }, { "created": "Tue, 13 Feb 2024 08:18:34 GMT", "version": "v2" } ]
2024-04-05
[ [ "Lyu", "Minzhao", "" ], [ "Madanapalli", "Sharat Chandra", "" ], [ "Vishwanath", "Arun", "" ], [ "Sivaraman", "Vijay", "" ] ]
Cloud gaming, wherein game graphics is rendered in the cloud and streamed back to the user as real-time video, expands the gaming market to billions of users who do not have gaming consoles or high-power graphics PCs. Companies like Nvidia, Amazon, Sony and Microsoft are investing in building cloud gaming platforms to ...
2012.07541
Guangyao Zhai
Guangyao Zhai, Xin Kong, Jinhao Cui, Yong Liu, and Zhen Yang
FlowMOT: 3D Multi-Object Tracking by Scene Flow Association
Internship technical report
null
null
null
cs.CV cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Most end-to-end Multi-Object Tracking (MOT) methods face the problems of low accuracy and poor generalization ability. Although traditional filter-based methods can achieve better results, they are difficult to be endowed with optimal hyperparameters and often fail in varying scenarios. To alleviate these drawbacks, ...
[ { "created": "Mon, 14 Dec 2020 14:03:48 GMT", "version": "v1" }, { "created": "Tue, 15 Dec 2020 13:18:56 GMT", "version": "v2" }, { "created": "Fri, 5 Mar 2021 10:36:56 GMT", "version": "v3" } ]
2021-03-08
[ [ "Zhai", "Guangyao", "" ], [ "Kong", "Xin", "" ], [ "Cui", "Jinhao", "" ], [ "Liu", "Yong", "" ], [ "Yang", "Zhen", "" ] ]
Most end-to-end Multi-Object Tracking (MOT) methods face the problems of low accuracy and poor generalization ability. Although traditional filter-based methods can achieve better results, they are difficult to be endowed with optimal hyperparameters and often fail in varying scenarios. To alleviate these drawbacks, we...
2307.01197
Frano Raji\v{c}
Frano Raji\v{c}, Lei Ke, Yu-Wing Tai, Chi-Keung Tang, Martin Danelljan, Fisher Yu
Segment Anything Meets Point Tracking
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The Segment Anything Model (SAM) has established itself as a powerful zero-shot image segmentation model, enabled by efficient point-centric annotation and prompt-based models. While click and brush interactions are both well explored in interactive image segmentation, the existing methods on videos focus on mask ann...
[ { "created": "Mon, 3 Jul 2023 17:58:01 GMT", "version": "v1" }, { "created": "Sun, 3 Dec 2023 23:57:43 GMT", "version": "v2" } ]
2023-12-05
[ [ "Rajič", "Frano", "" ], [ "Ke", "Lei", "" ], [ "Tai", "Yu-Wing", "" ], [ "Tang", "Chi-Keung", "" ], [ "Danelljan", "Martin", "" ], [ "Yu", "Fisher", "" ] ]
The Segment Anything Model (SAM) has established itself as a powerful zero-shot image segmentation model, enabled by efficient point-centric annotation and prompt-based models. While click and brush interactions are both well explored in interactive image segmentation, the existing methods on videos focus on mask annot...
2311.01634
Cory Dal Ponte
Cory Dal Ponte, Sathana Dushyanthen and Kayley Lyons
"Close...but not as good as an educator." -- Using ChatGPT to provide formative feedback in large-class collaborative learning
4 pages, 2 figures, 1 table
null
null
null
cs.HC cs.AI cs.CY
http://creativecommons.org/licenses/by/4.0/
Delivering personalised, formative feedback to multiple problem-based learning groups in a short time period can be almost impossible. We employed ChatGPT to provide personalised formative feedback in a one-hour Zoom break-out room activity that taught practicing health professionals how to formulate evaluation plans...
[ { "created": "Thu, 2 Nov 2023 23:00:38 GMT", "version": "v1" } ]
2023-11-06
[ [ "Ponte", "Cory Dal", "" ], [ "Dushyanthen", "Sathana", "" ], [ "Lyons", "Kayley", "" ] ]
Delivering personalised, formative feedback to multiple problem-based learning groups in a short time period can be almost impossible. We employed ChatGPT to provide personalised formative feedback in a one-hour Zoom break-out room activity that taught practicing health professionals how to formulate evaluation plans f...
2010.13952
Farzaneh Khoshnevisan
Farzaneh Khoshnevisan and Min Chi
An Adversarial Domain Separation Framework for Septic Shock Early Prediction Across EHR Systems
to be published in 2020 IEEE International Conference on Big Data
null
10.1109/BigData50022.2020.9378058
null
cs.LG cs.NE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Modeling patient disease progression using Electronic Health Records (EHRs) is critical to assist clinical decision making. While most of prior work has mainly focused on developing effective disease progression models using EHRs collected from an individual medical system, relatively little work has investigated bui...
[ { "created": "Mon, 26 Oct 2020 23:41:33 GMT", "version": "v1" } ]
2021-03-23
[ [ "Khoshnevisan", "Farzaneh", "" ], [ "Chi", "Min", "" ] ]
Modeling patient disease progression using Electronic Health Records (EHRs) is critical to assist clinical decision making. While most of prior work has mainly focused on developing effective disease progression models using EHRs collected from an individual medical system, relatively little work has investigated build...
0711.3291
EDA Publishing Association
J. Juillard, E. Colinet (LETI), M. Dominguez, Joan Pons, J. Ricart
Resolution Limits for Resonant Mems Sensors Based on Discrete Relay Feedback Techniques
Submitted on behalf of TIMA Editions (http://irevues.inist.fr/tima-editions)
Dans Symposium on Design, Test, Integration and Packaging of MEMS/MOEMS - DTIP 2006, Stresa, Lago Maggiore : Italie (2006)
null
null
cs.OH
null
This paper is devoted to the analysis of resonant MEMS sensors based on discrete relay feedback techniques. One drawback of such techniques is that some synchronization usually occurs between the discrete part and the continuous part of the system: this results in sensor responses that are very similar to the curves ...
[ { "created": "Wed, 21 Nov 2007 09:35:07 GMT", "version": "v1" } ]
2007-11-29
[ [ "Juillard", "J.", "", "LETI" ], [ "Colinet", "E.", "", "LETI" ], [ "Dominguez", "M.", "" ], [ "Pons", "Joan", "" ], [ "Ricart", "J.", "" ] ]
This paper is devoted to the analysis of resonant MEMS sensors based on discrete relay feedback techniques. One drawback of such techniques is that some synchronization usually occurs between the discrete part and the continuous part of the system: this results in sensor responses that are very similar to the curves kn...
2108.09200
David Aparicio
Maria In\^es Silva, David Apar\'icio, Beatriz Malveiro, Jo\~ao Tiago Ascens\~ao, Pedro Bizarro
GUDIE: a flexible, user-defined method to extract subgraphs of interest from large graphs
16 pages, 8 figures, accepted at GEM2021
null
null
null
cs.SI
http://creativecommons.org/licenses/by/4.0/
Large, dense, small-world networks often emerge from social phenomena, including financial networks, social media, or epidemiology. As networks grow in importance, it is often necessary to partition them into meaningful units of analysis. In this work, we propose GUDIE, a message-passing algorithm that extracts relev...
[ { "created": "Fri, 20 Aug 2021 14:42:13 GMT", "version": "v1" } ]
2021-08-23
[ [ "Silva", "Maria Inês", "" ], [ "Aparício", "David", "" ], [ "Malveiro", "Beatriz", "" ], [ "Ascensão", "João Tiago", "" ], [ "Bizarro", "Pedro", "" ] ]
Large, dense, small-world networks often emerge from social phenomena, including financial networks, social media, or epidemiology. As networks grow in importance, it is often necessary to partition them into meaningful units of analysis. In this work, we propose GUDIE, a message-passing algorithm that extracts relevan...
2404.06404
Mohammad Namvarpour
M. Namvarpour and A. Razi
Apprentices to Research Assistants: Advancing Research with Large Language Models
null
null
null
null
cs.HC cs.AI cs.LG
http://creativecommons.org/licenses/by-nc-nd/4.0/
Large Language Models (LLMs) have emerged as powerful tools in various research domains. This article examines their potential through a literature review and firsthand experimentation. While LLMs offer benefits like cost-effectiveness and efficiency, challenges such as prompt tuning, biases, and subjectivity must be...
[ { "created": "Tue, 9 Apr 2024 15:53:06 GMT", "version": "v1" } ]
2024-04-10
[ [ "Namvarpour", "M.", "" ], [ "Razi", "A.", "" ] ]
Large Language Models (LLMs) have emerged as powerful tools in various research domains. This article examines their potential through a literature review and firsthand experimentation. While LLMs offer benefits like cost-effectiveness and efficiency, challenges such as prompt tuning, biases, and subjectivity must be a...
1704.01006
Gerrit Bagschik
Gerrit Bagschik, Till Menzel, Markus Maurer
Ontology based Scene Creation for the Development of Automated Vehicles
Accepted at the 2018 IEEE Intelligent Vehicles Symposium, 8 pages, 10 figures
null
null
null
cs.AI cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The introduction of automated vehicles without permanent human supervision demands a functional system description, including functional system boundaries and a comprehensive safety analysis. These inputs to the technical development can be identified and analyzed by a scenario-based approach. Furthermore, to establi...
[ { "created": "Wed, 29 Mar 2017 20:02:39 GMT", "version": "v1" }, { "created": "Thu, 15 Jun 2017 07:22:17 GMT", "version": "v2" }, { "created": "Thu, 4 Jan 2018 11:56:14 GMT", "version": "v3" }, { "created": "Fri, 19 Jan 2018 08:50:19 GMT", "version": "v4" }, { "cr...
2018-04-25
[ [ "Bagschik", "Gerrit", "" ], [ "Menzel", "Till", "" ], [ "Maurer", "Markus", "" ] ]
The introduction of automated vehicles without permanent human supervision demands a functional system description, including functional system boundaries and a comprehensive safety analysis. These inputs to the technical development can be identified and analyzed by a scenario-based approach. Furthermore, to establish...
2106.07830
Zongyu Dai
Zhiqi Bu, Hua Wang, Zongyu Dai, Qi Long
On the Convergence and Calibration of Deep Learning with Differential Privacy
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Differentially private (DP) training preserves the data privacy usually at the cost of slower convergence (and thus lower accuracy), as well as more severe mis-calibration than its non-private counterpart. To analyze the convergence of DP training, we formulate a continuous time analysis through the lens of neural ta...
[ { "created": "Tue, 15 Jun 2021 01:32:29 GMT", "version": "v1" }, { "created": "Sat, 17 Jul 2021 04:11:06 GMT", "version": "v2" }, { "created": "Sun, 10 Oct 2021 04:41:31 GMT", "version": "v3" }, { "created": "Sat, 29 Jan 2022 05:25:22 GMT", "version": "v4" }, { "c...
2023-06-21
[ [ "Bu", "Zhiqi", "" ], [ "Wang", "Hua", "" ], [ "Dai", "Zongyu", "" ], [ "Long", "Qi", "" ] ]
Differentially private (DP) training preserves the data privacy usually at the cost of slower convergence (and thus lower accuracy), as well as more severe mis-calibration than its non-private counterpart. To analyze the convergence of DP training, we formulate a continuous time analysis through the lens of neural tang...
2404.10206
Valdemar \v{S}v\'abensk\'y
Jan Vykopal, Pavel \v{C}eleda, Valdemar \v{S}v\'abensk\'y, Martin Hofbauer, Martin Hor\'ak
Research and Practice of Delivering Tabletop Exercises
Published in ACM ITiCSE 2024 conference proceedings, see https://doi.org/10.1145/3649217.3653642
null
10.1145/3649217.3653642
null
cs.CY
http://creativecommons.org/licenses/by/4.0/
Tabletop exercises are used to train personnel in the efficient mitigation and resolution of incidents. They are applied in practice to support the preparedness of organizations and to highlight inefficient processes. Since tabletop exercises train competencies required in the workplace, they have been introduced int...
[ { "created": "Tue, 16 Apr 2024 01:12:20 GMT", "version": "v1" } ]
2024-04-17
[ [ "Vykopal", "Jan", "" ], [ "Čeleda", "Pavel", "" ], [ "Švábenský", "Valdemar", "" ], [ "Hofbauer", "Martin", "" ], [ "Horák", "Martin", "" ] ]
Tabletop exercises are used to train personnel in the efficient mitigation and resolution of incidents. They are applied in practice to support the preparedness of organizations and to highlight inefficient processes. Since tabletop exercises train competencies required in the workplace, they have been introduced into ...
1812.00929
Eric Tzeng
Eric Tzeng, Kaylee Burns, Kate Saenko, Trevor Darrell
SPLAT: Semantic Pixel-Level Adaptation Transforms for Detection
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Domain adaptation of visual detectors is a critical challenge, yet existing methods have overlooked pixel appearance transformations, focusing instead on bootstrapping and/or domain confusion losses. We propose a Semantic Pixel-Level Adaptation Transform (SPLAT) approach to detector adaptation that efficiently genera...
[ { "created": "Mon, 3 Dec 2018 17:38:52 GMT", "version": "v1" } ]
2018-12-04
[ [ "Tzeng", "Eric", "" ], [ "Burns", "Kaylee", "" ], [ "Saenko", "Kate", "" ], [ "Darrell", "Trevor", "" ] ]
Domain adaptation of visual detectors is a critical challenge, yet existing methods have overlooked pixel appearance transformations, focusing instead on bootstrapping and/or domain confusion losses. We propose a Semantic Pixel-Level Adaptation Transform (SPLAT) approach to detector adaptation that efficiently generate...
1710.02019
Daniel Augot
Daniel Augot (GRACE), Herv\'e Chabanne, Thomas Chenevier, William George (LIX, GRACE), Laurent Lamber
A User-Centric System for Verified Identities on the Bitcoin Blockchain
null
International Workshop on Cryptocurrencies and Blockchain Technology - CBT'17, Sep 2017, Oslo, Norway
null
null
cs.CR cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present an identity management scheme built into the Bitcoin blockchain, allowing for identities that are as indelible as the blockchain itself. Moreover, we take advantage of Bitcoin's decentralized nature to facilitate a shared control between users and identity providers, allowing users to directly manage their...
[ { "created": "Thu, 5 Oct 2017 13:48:04 GMT", "version": "v1" } ]
2017-10-06
[ [ "Augot", "Daniel", "", "GRACE" ], [ "Chabanne", "Hervé", "", "LIX, GRACE" ], [ "Chenevier", "Thomas", "", "LIX, GRACE" ], [ "George", "William", "", "LIX, GRACE" ], [ "Lamber", "Laurent", "" ] ]
We present an identity management scheme built into the Bitcoin blockchain, allowing for identities that are as indelible as the blockchain itself. Moreover, we take advantage of Bitcoin's decentralized nature to facilitate a shared control between users and identity providers, allowing users to directly manage their o...
1501.02419
Jeffrey Wildman
Jeffrey Wildman, Yusuf Osmanlioglu, Steven Weber, Ali Shokoufandeh
Delay Minimizing User Association in Cellular Networks via Hierarchically Well-Separated Trees
6 pages, 5 figures. Submitted on 2013-10-03 to the 2015 IEEE International Conference on Communications (ICC). Accepted on 2015-01-09 to the 2015 IEEE International Conference on Communications (ICC)
null
10.1109/ICC.2015.7248950
null
cs.IT cs.NI math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We study downlink delay minimization within the context of cellular user association policies that map mobile users to base stations. We note the delay minimum user association problem fits within a broader class of network utility maximization and can be posed as a non-convex quadratic program. This non-convexity mo...
[ { "created": "Sun, 11 Jan 2015 05:40:03 GMT", "version": "v1" } ]
2015-10-08
[ [ "Wildman", "Jeffrey", "" ], [ "Osmanlioglu", "Yusuf", "" ], [ "Weber", "Steven", "" ], [ "Shokoufandeh", "Ali", "" ] ]
We study downlink delay minimization within the context of cellular user association policies that map mobile users to base stations. We note the delay minimum user association problem fits within a broader class of network utility maximization and can be posed as a non-convex quadratic program. This non-convexity moti...
2304.04410
Shaowei Wang
Shaowei Wang, Jin Li, Yuntong Li, Jin Li, Wei Yang, Hongyang Yan
Differentially Private Numerical Vector Analyses in the Local and Shuffle Model
Full version of "Hiding Numerical Vectors in Local Private and Shuffled Messages" (IJCAI 2021)
null
null
null
cs.CR
http://creativecommons.org/licenses/by/4.0/
Numerical vector aggregation plays a crucial role in privacy-sensitive applications, such as distributed gradient estimation in federated learning and statistical analysis of key-value data. In the context of local differential privacy, this study provides a tight minimax error bound of $O(\frac{ds}{n\epsilon^2})$, w...
[ { "created": "Mon, 10 Apr 2023 06:44:15 GMT", "version": "v1" } ]
2023-04-11
[ [ "Wang", "Shaowei", "" ], [ "Li", "Jin", "" ], [ "Li", "Yuntong", "" ], [ "Li", "Jin", "" ], [ "Yang", "Wei", "" ], [ "Yan", "Hongyang", "" ] ]
Numerical vector aggregation plays a crucial role in privacy-sensitive applications, such as distributed gradient estimation in federated learning and statistical analysis of key-value data. In the context of local differential privacy, this study provides a tight minimax error bound of $O(\frac{ds}{n\epsilon^2})$, whe...
2408.04693
Yuchen Xia
Yuchen Xia, Jiho Kim, Yuhan Chen, Haojie Ye, Souvik Kundu, Cong Hao and Nishil Talati
Understanding the Performance and Estimating the Cost of LLM Fine-Tuning
10 pages, conference
null
null
null
cs.CL cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Due to the cost-prohibitive nature of training Large Language Models (LLMs), fine-tuning has emerged as an attractive alternative for specializing LLMs for specific tasks using limited compute resources in a cost-effective manner. In this paper, we characterize sparse Mixture of Experts (MoE) based LLM fine-tuning to...
[ { "created": "Thu, 8 Aug 2024 16:26:07 GMT", "version": "v1" } ]
2024-08-15
[ [ "Xia", "Yuchen", "" ], [ "Kim", "Jiho", "" ], [ "Chen", "Yuhan", "" ], [ "Ye", "Haojie", "" ], [ "Kundu", "Souvik", "" ], [ "Hao", "Cong", "" ], [ "Talati", "Nishil", "" ] ]
Due to the cost-prohibitive nature of training Large Language Models (LLMs), fine-tuning has emerged as an attractive alternative for specializing LLMs for specific tasks using limited compute resources in a cost-effective manner. In this paper, we characterize sparse Mixture of Experts (MoE) based LLM fine-tuning to u...
1604.01833
Jyothi Korra
Jinju Joby P, Jyothi Korra
System for Filtering Messages on Social Media Content
null
null
null
null
cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The social networking era has left us with little privacy. The details of the social network users are published on Social Networking sites. Vulnerability has reached new heights due to the overpowering effects of social networking. The sites like Facebook, Twitter are having a huge set of users who publish their fil...
[ { "created": "Wed, 6 Apr 2016 23:46:54 GMT", "version": "v1" } ]
2016-04-08
[ [ "P", "Jinju Joby", "" ], [ "Korra", "Jyothi", "" ] ]
The social networking era has left us with little privacy. The details of the social network users are published on Social Networking sites. Vulnerability has reached new heights due to the overpowering effects of social networking. The sites like Facebook, Twitter are having a huge set of users who publish their files...
1512.05849
Miles Brundage
Miles Brundage
Modeling Progress in AI
AAAI 2016 Workshop on AI, Ethics, and Society
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Participants in recent discussions of AI-related issues ranging from intelligence explosion to technological unemployment have made diverse claims about the nature, pace, and drivers of progress in AI. However, these theories are rarely specified in enough detail to enable systematic evaluation of their assumptions o...
[ { "created": "Fri, 18 Dec 2015 04:17:39 GMT", "version": "v1" } ]
2015-12-21
[ [ "Brundage", "Miles", "" ] ]
Participants in recent discussions of AI-related issues ranging from intelligence explosion to technological unemployment have made diverse claims about the nature, pace, and drivers of progress in AI. However, these theories are rarely specified in enough detail to enable systematic evaluation of their assumptions or ...
2104.01350
Masaki Kitayama
Masaki Kitayama, Hitoshi Kiya
Generation of Gradient-Preserving Images allowing HOG Feature Extraction
Accepted for publication in IEEE International Conference on Consumer Electronics - Taiwan, 2021(ICCE-TW 2021)
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we propose a method for generating visually protected images, referred to as gradient-preserving images. The protected images allow us to directly extract Histogram-of-Oriented-Gradients (HOG) features for privacy-preserving machine learning. In an experiment, HOG features extracted from gradient-prese...
[ { "created": "Sat, 3 Apr 2021 09:06:58 GMT", "version": "v1" }, { "created": "Sat, 22 May 2021 06:46:37 GMT", "version": "v2" } ]
2021-05-25
[ [ "Kitayama", "Masaki", "" ], [ "Kiya", "Hitoshi", "" ] ]
In this paper, we propose a method for generating visually protected images, referred to as gradient-preserving images. The protected images allow us to directly extract Histogram-of-Oriented-Gradients (HOG) features for privacy-preserving machine learning. In an experiment, HOG features extracted from gradient-preserv...
1807.09464
Colas Le Guernic
Julien Duchene (CALID, LAAS-TSF), Eric Alata (LAAS-TSF), Vincent Nicomette (LAAS-TSF), Mohamed Ka\^aniche (LAAS-TSF), Colas Le Guernic (DGA.MI, TAMIS)
Specification-Based Protocol Obfuscation
null
2018 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), Jun 2018, Luxembourg City, France. IEEE, 2018
10.1109/DSN.2018.00056
null
cs.CR cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper proposes a new obfuscation technique of a communication protocol that is aimed at making the reverse engineering of the protocol more complex. The obfuscation is based on the transformation of protocol message format specification. The obfuscating transformations are applied to the Abstract Syntax Tree (AS...
[ { "created": "Wed, 25 Jul 2018 07:49:25 GMT", "version": "v1" } ]
2018-07-26
[ [ "Duchene", "Julien", "", "CALID, LAAS-TSF" ], [ "Alata", "Eric", "", "LAAS-TSF" ], [ "Nicomette", "Vincent", "", "LAAS-TSF" ], [ "Kaâniche", "Mohamed", "", "LAAS-TSF" ], [ "Guernic", "Colas Le", "", "DGA.MI, TAMIS" ]...
This paper proposes a new obfuscation technique of a communication protocol that is aimed at making the reverse engineering of the protocol more complex. The obfuscation is based on the transformation of protocol message format specification. The obfuscating transformations are applied to the Abstract Syntax Tree (AST)...
2209.02124
Jimmy Bao
Jimmy Bao
Utilizing Post-Hurricane Satellite Imagery to Identify Flooding Damage with Convolutional Neural Networks
18 pages without figures/references, 12 figures. Patrick Emedom-Nnamdi is the Editor
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Post-hurricane damage assessment is crucial towards managing resource allocations and executing an effective response. Traditionally, this evaluation is performed through field reconnaissance, which is slow, hazardous, and arduous. Instead, in this paper we furthered the idea of implementing deep learning through con...
[ { "created": "Mon, 5 Sep 2022 20:12:39 GMT", "version": "v1" } ]
2022-09-07
[ [ "Bao", "Jimmy", "" ] ]
Post-hurricane damage assessment is crucial towards managing resource allocations and executing an effective response. Traditionally, this evaluation is performed through field reconnaissance, which is slow, hazardous, and arduous. Instead, in this paper we furthered the idea of implementing deep learning through convo...
1503.03553
Teruyoshi Washizawa
Yasuhiro Nakahara and Teruyoshi Washizawa
Accelerating DEM simulations on GPUs by reducing the impact of warp divergences
15 pages, 4 figures
null
null
null
cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A way to accelerate DEM calculations on the GPUs is developed. We examined how warp divergences take place in the contact detection and the force calculations taking account of the GPU architecture. Then we showed a strategy to reduce the impact of the warp divergences on the runtime of the DEM force calculations.
[ { "created": "Thu, 12 Mar 2015 01:40:58 GMT", "version": "v1" } ]
2015-03-13
[ [ "Nakahara", "Yasuhiro", "" ], [ "Washizawa", "Teruyoshi", "" ] ]
A way to accelerate DEM calculations on the GPUs is developed. We examined how warp divergences take place in the contact detection and the force calculations taking account of the GPU architecture. Then we showed a strategy to reduce the impact of the warp divergences on the runtime of the DEM force calculations.