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2309.04975
Eduardo Noboro Tominaga
Eduardo Noboro Tominaga, Hsuan-Jung Su, Jinfeng Du, Sivarama Venkatesan, Richard Demo Souza and Hirley Alves
Trade-Off Between Beamforming and Macro-Diversity Gains in Distributed mMIMO
6 pages, 3 figures. Manuscript submitted to the IEEE Wireless Communications and Networking Conference (WCNC) 2024, Dubai, United Arab Emirates
null
null
null
cs.IT eess.SP math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Industry and academia have been working towards the evolution from Centralized massive Multiple-Input Multiple-Output (CmMIMO) to Distributed mMIMO (DmMIMO) architectures. Instead of splitting a coverage area into many cells, each served by a single Base Station equipped with several antennas, the whole coverage area...
[ { "created": "Sun, 10 Sep 2023 09:39:16 GMT", "version": "v1" } ]
2023-09-12
[ [ "Tominaga", "Eduardo Noboro", "" ], [ "Su", "Hsuan-Jung", "" ], [ "Du", "Jinfeng", "" ], [ "Venkatesan", "Sivarama", "" ], [ "Souza", "Richard Demo", "" ], [ "Alves", "Hirley", "" ] ]
Industry and academia have been working towards the evolution from Centralized massive Multiple-Input Multiple-Output (CmMIMO) to Distributed mMIMO (DmMIMO) architectures. Instead of splitting a coverage area into many cells, each served by a single Base Station equipped with several antennas, the whole coverage area i...
2403.05543
Pilar Aparicio-Mart\'inez Dr.
Olga Maria Luque Alcaraz, Pilar Aparicio-Mart\'inez, Antonio Gomera, Manuel Vaquero-Abell\'an
Nurses as agents for achieving Environmentally Sustainable Health Systems: A bibliometric analysis
9 pages,4 figures,2 tables
null
0.1111/jonm.13798
null
cs.CY cs.DL cs.SI
http://creativecommons.org/licenses/by/4.0/
Objective: To analyze the current scientific knowledge and research lines focused on environmentally sustainable health systems, including the role of nurses. Background: There seem to be differences between creating interventions focused on environmentally sustainable health systems, including nurses, and the scarci...
[ { "created": "Mon, 5 Feb 2024 12:14:04 GMT", "version": "v1" } ]
2024-03-12
[ [ "Alcaraz", "Olga Maria Luque", "" ], [ "Aparicio-Martínez", "Pilar", "" ], [ "Gomera", "Antonio", "" ], [ "Vaquero-Abellán", "Manuel", "" ] ]
Objective: To analyze the current scientific knowledge and research lines focused on environmentally sustainable health systems, including the role of nurses. Background: There seem to be differences between creating interventions focused on environmentally sustainable health systems, including nurses, and the scarcity...
1503.06375
Bharath Sankaran
Bharath Sankaran, Jeannette Bohg, Nathan Ratliff and Stefan Schaal
Policy Learning with Hypothesis based Local Action Selection
RLDM abstract
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
For robots to be able to manipulate in unknown and unstructured environments the robot should be capable of operating under partial observability of the environment. Object occlusions and unmodeled environments are some of the factors that result in partial observability. A common scenario where this is encountered i...
[ { "created": "Sun, 22 Mar 2015 02:36:49 GMT", "version": "v1" }, { "created": "Tue, 24 Mar 2015 00:24:43 GMT", "version": "v2" }, { "created": "Fri, 8 May 2015 05:25:47 GMT", "version": "v3" } ]
2015-05-11
[ [ "Sankaran", "Bharath", "" ], [ "Bohg", "Jeannette", "" ], [ "Ratliff", "Nathan", "" ], [ "Schaal", "Stefan", "" ] ]
For robots to be able to manipulate in unknown and unstructured environments the robot should be capable of operating under partial observability of the environment. Object occlusions and unmodeled environments are some of the factors that result in partial observability. A common scenario where this is encountered is ...
2402.03818
O Duranthon
O. Duranthon, L. Zdeborov\'a
Asymptotic generalization error of a single-layer graph convolutional network
null
null
null
null
cs.LG cond-mat.dis-nn
http://creativecommons.org/licenses/by-sa/4.0/
While graph convolutional networks show great practical promises, the theoretical understanding of their generalization properties as a function of the number of samples is still in its infancy compared to the more broadly studied case of supervised fully connected neural networks. In this article, we predict the per...
[ { "created": "Tue, 6 Feb 2024 09:07:26 GMT", "version": "v1" }, { "created": "Wed, 20 Mar 2024 15:08:27 GMT", "version": "v2" } ]
2024-03-21
[ [ "Duranthon", "O.", "" ], [ "Zdeborová", "L.", "" ] ]
While graph convolutional networks show great practical promises, the theoretical understanding of their generalization properties as a function of the number of samples is still in its infancy compared to the more broadly studied case of supervised fully connected neural networks. In this article, we predict the perfo...
1908.04924
Mingyuan Bai
Mingyuan Bai, S.T. Boris Choy, Xin Song, Junbin Gao
Tensor-Train Parameterization for Ultra Dimensionality Reduction
null
null
null
null
cs.LG eess.IV stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Locality preserving projections (LPP) are a classical dimensionality reduction method based on data graph information. However, LPP is still responsive to extreme outliers. LPP aiming for vectorial data may undermine data structural information when it is applied to multidimensional data. Besides, it assumes the dime...
[ { "created": "Wed, 14 Aug 2019 02:04:34 GMT", "version": "v1" } ]
2019-08-15
[ [ "Bai", "Mingyuan", "" ], [ "Choy", "S. T. Boris", "" ], [ "Song", "Xin", "" ], [ "Gao", "Junbin", "" ] ]
Locality preserving projections (LPP) are a classical dimensionality reduction method based on data graph information. However, LPP is still responsive to extreme outliers. LPP aiming for vectorial data may undermine data structural information when it is applied to multidimensional data. Besides, it assumes the dimens...
2009.05502
Johannes Knittel
Johannes Knittel, Andres Lalama, Steffen Koch, and Thomas Ertl
Visual Neural Decomposition to Explain Multivariate Data Sets
To appear in IEEE Transactions on Visualization and Computer Graphics and IEEE VIS 2020 (VAST)
null
null
null
cs.LG cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Investigating relationships between variables in multi-dimensional data sets is a common task for data analysts and engineers. More specifically, it is often valuable to understand which ranges of which input variables lead to particular values of a given target variable. Unfortunately, with an increasing number of i...
[ { "created": "Fri, 11 Sep 2020 15:53:37 GMT", "version": "v1" } ]
2020-09-14
[ [ "Knittel", "Johannes", "" ], [ "Lalama", "Andres", "" ], [ "Koch", "Steffen", "" ], [ "Ertl", "Thomas", "" ] ]
Investigating relationships between variables in multi-dimensional data sets is a common task for data analysts and engineers. More specifically, it is often valuable to understand which ranges of which input variables lead to particular values of a given target variable. Unfortunately, with an increasing number of ind...
1605.05106
Kaelon Lloyd
Kaelon Lloyd, David Marshall, Simon C. Moore, Paul L. Rosin
Detecting Violent and Abnormal Crowd activity using Temporal Analysis of Grey Level Co-occurrence Matrix (GLCM) Based Texture Measures
Published under open access, 9 pages, 12 Figures
Machine Vision and Applications (2017)
10.1007/s00138-017-0830-x
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The severity of sustained injury resulting from assault-related violence can be minimised by reducing detection time. However, it has been shown that human operators perform poorly at detecting events found in video footage when presented with simultaneous feeds. We utilise computer vision techniques to develop an au...
[ { "created": "Tue, 17 May 2016 10:53:07 GMT", "version": "v1" }, { "created": "Mon, 3 Apr 2017 10:39:02 GMT", "version": "v2" } ]
2017-04-04
[ [ "Lloyd", "Kaelon", "" ], [ "Marshall", "David", "" ], [ "Moore", "Simon C.", "" ], [ "Rosin", "Paul L.", "" ] ]
The severity of sustained injury resulting from assault-related violence can be minimised by reducing detection time. However, it has been shown that human operators perform poorly at detecting events found in video footage when presented with simultaneous feeds. We utilise computer vision techniques to develop an auto...
2405.05688
Dipankar Srirag
Dipankar Srirag and Aditya Joshi
Evaluating Dialect Robustness of Language Models via Conversation Understanding
13 pages, 7 figures, 6 tables
null
null
null
cs.CL
http://creativecommons.org/licenses/by-nc-sa/4.0/
With an evergrowing number of LLMs reporting superlative performance for English, their ability to perform equitably for different dialects of English (i.e., dialect robustness) needs to be ascertained. Specifically, we use English language (US English or Indian English) conversations between humans who play the word...
[ { "created": "Thu, 9 May 2024 11:38:23 GMT", "version": "v1" } ]
2024-05-10
[ [ "Srirag", "Dipankar", "" ], [ "Joshi", "Aditya", "" ] ]
With an evergrowing number of LLMs reporting superlative performance for English, their ability to perform equitably for different dialects of English (i.e., dialect robustness) needs to be ascertained. Specifically, we use English language (US English or Indian English) conversations between humans who play the word-g...
2007.08025
Hakim Hafidi
Hakim Hafidi, Mounir Ghogho, Philippe Ciblat and Ananthram Swami
GraphCL: Contrastive Self-Supervised Learning of Graph Representations
Under review for Neurips 2020
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose Graph Contrastive Learning (GraphCL), a general framework for learning node representations in a self supervised manner. GraphCL learns node embeddings by maximizing the similarity between the representations of two randomly perturbed versions of the intrinsic features and link structure of the same node's...
[ { "created": "Wed, 15 Jul 2020 22:36:53 GMT", "version": "v1" } ]
2020-07-17
[ [ "Hafidi", "Hakim", "" ], [ "Ghogho", "Mounir", "" ], [ "Ciblat", "Philippe", "" ], [ "Swami", "Ananthram", "" ] ]
We propose Graph Contrastive Learning (GraphCL), a general framework for learning node representations in a self supervised manner. GraphCL learns node embeddings by maximizing the similarity between the representations of two randomly perturbed versions of the intrinsic features and link structure of the same node's l...
2209.01292
Bargav Jayaraman
Bargav Jayaraman and David Evans
Are Attribute Inference Attacks Just Imputation?
13 (main body) + 4 (references and appendix) pages. To appear in CCS'22
null
null
null
cs.CR cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Models can expose sensitive information about their training data. In an attribute inference attack, an adversary has partial knowledge of some training records and access to a model trained on those records, and infers the unknown values of a sensitive feature of those records. We study a fine-grained variant of att...
[ { "created": "Fri, 2 Sep 2022 23:13:36 GMT", "version": "v1" } ]
2022-09-07
[ [ "Jayaraman", "Bargav", "" ], [ "Evans", "David", "" ] ]
Models can expose sensitive information about their training data. In an attribute inference attack, an adversary has partial knowledge of some training records and access to a model trained on those records, and infers the unknown values of a sensitive feature of those records. We study a fine-grained variant of attri...
1810.01256
Yang Chen
Guanxiong Zeng, Yang Chen, Bo Cui, Shan Yu
Continual Learning of Context-dependent Processing in Neural Networks
null
null
10.1038/s42256-019-0080-x
null
cs.LG cs.AI cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep neural networks (DNNs) are powerful tools in learning sophisticated but fixed mapping rules between inputs and outputs, thereby limiting their application in more complex and dynamic situations in which the mapping rules are not kept the same but changing according to different contexts. To lift such limits, we ...
[ { "created": "Sat, 29 Sep 2018 09:45:08 GMT", "version": "v1" }, { "created": "Fri, 5 Oct 2018 15:36:51 GMT", "version": "v2" }, { "created": "Sun, 27 Jun 2021 13:38:39 GMT", "version": "v3" } ]
2021-06-29
[ [ "Zeng", "Guanxiong", "" ], [ "Chen", "Yang", "" ], [ "Cui", "Bo", "" ], [ "Yu", "Shan", "" ] ]
Deep neural networks (DNNs) are powerful tools in learning sophisticated but fixed mapping rules between inputs and outputs, thereby limiting their application in more complex and dynamic situations in which the mapping rules are not kept the same but changing according to different contexts. To lift such limits, we de...
2401.15246
Chiyuan Zhang
Lynn Chua, Qiliang Cui, Badih Ghazi, Charlie Harrison, Pritish Kamath, Walid Krichene, Ravi Kumar, Pasin Manurangsi, Krishna Giri Narra, Amer Sinha, Avinash Varadarajan, Chiyuan Zhang
Training Differentially Private Ad Prediction Models with Semi-Sensitive Features
7 pages, 4 figures
null
null
null
cs.LG cs.CR cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Motivated by problems arising in digital advertising, we introduce the task of training differentially private (DP) machine learning models with semi-sensitive features. In this setting, a subset of the features is known to the attacker (and thus need not be protected) while the remaining features as well as the labe...
[ { "created": "Fri, 26 Jan 2024 23:41:28 GMT", "version": "v1" } ]
2024-01-30
[ [ "Chua", "Lynn", "" ], [ "Cui", "Qiliang", "" ], [ "Ghazi", "Badih", "" ], [ "Harrison", "Charlie", "" ], [ "Kamath", "Pritish", "" ], [ "Krichene", "Walid", "" ], [ "Kumar", "Ravi", "" ], [ "Manuran...
Motivated by problems arising in digital advertising, we introduce the task of training differentially private (DP) machine learning models with semi-sensitive features. In this setting, a subset of the features is known to the attacker (and thus need not be protected) while the remaining features as well as the label ...
2006.01222
Tanvi Dadu Miss
Tanvi Dadu, Kartikey Pant and Radhika Mamidi
BERT-based Ensembles for Modeling Disclosure and Support in Conversational Social Media Text
Accepted at the Affective Content workshop held at AAAI 2020 as the Best System Paper
null
null
null
cs.CL cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
There is a growing interest in understanding how humans initiate and hold conversations. The affective understanding of conversations focuses on the problem of how speakers use emotions to react to a situation and to each other. In the CL-Aff Shared Task, the organizers released Get it #OffMyChest dataset, which cont...
[ { "created": "Mon, 1 Jun 2020 19:52:01 GMT", "version": "v1" } ]
2020-06-03
[ [ "Dadu", "Tanvi", "" ], [ "Pant", "Kartikey", "" ], [ "Mamidi", "Radhika", "" ] ]
There is a growing interest in understanding how humans initiate and hold conversations. The affective understanding of conversations focuses on the problem of how speakers use emotions to react to a situation and to each other. In the CL-Aff Shared Task, the organizers released Get it #OffMyChest dataset, which contai...
2304.14377
Hengyi Wang
Hengyi Wang, Jingwen Wang, Lourdes Agapito
Co-SLAM: Joint Coordinate and Sparse Parametric Encodings for Neural Real-Time SLAM
CVPR2023. First two authors contributed equally. Project page: https://hengyiwang.github.io/projects/CoSLAM
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present Co-SLAM, a neural RGB-D SLAM system based on a hybrid representation, that performs robust camera tracking and high-fidelity surface reconstruction in real time. Co-SLAM represents the scene as a multi-resolution hash-grid to exploit its high convergence speed and ability to represent high-frequency local ...
[ { "created": "Thu, 27 Apr 2023 17:46:45 GMT", "version": "v1" } ]
2023-04-28
[ [ "Wang", "Hengyi", "" ], [ "Wang", "Jingwen", "" ], [ "Agapito", "Lourdes", "" ] ]
We present Co-SLAM, a neural RGB-D SLAM system based on a hybrid representation, that performs robust camera tracking and high-fidelity surface reconstruction in real time. Co-SLAM represents the scene as a multi-resolution hash-grid to exploit its high convergence speed and ability to represent high-frequency local fe...
2403.08334
Cheng Huang Dr.
Cheng Huang (1), Nannan Wang (1), Ziyan Wang (1), Siqi Sun (1), Lingzi Li (1), Junren Chen (1), Qianchong Zhao (1), Jiaxuan Han (1), Zhen Yang (1), Lei Shi (2) ((1) Sichuan University, (2) Huawei Technologies)
DONAPI: Malicious NPM Packages Detector using Behavior Sequence Knowledge Mapping
18 pages, accepted for publication at USENIX Security 2024
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
With the growing popularity of modularity in software development comes the rise of package managers and language ecosystems. Among them, npm stands out as the most extensive package manager, hosting more than 2 million third-party open-source packages that greatly simplify the process of building code. However, this...
[ { "created": "Wed, 13 Mar 2024 08:38:21 GMT", "version": "v1" } ]
2024-03-14
[ [ "Huang", "Cheng", "", "Sichuan University" ], [ "Wang", "Nannan", "", "Sichuan University" ], [ "Wang", "Ziyan", "", "Sichuan University" ], [ "Sun", "Siqi", "", "Sichuan University" ], [ "Li", "Lingzi", "", "Sichuan U...
With the growing popularity of modularity in software development comes the rise of package managers and language ecosystems. Among them, npm stands out as the most extensive package manager, hosting more than 2 million third-party open-source packages that greatly simplify the process of building code. However, this o...
2305.17115
Mateo Perez
Rajeev Alur, Osbert Bastani, Kishor Jothimurugan, Mateo Perez, Fabio Somenzi, Ashutosh Trivedi
Policy Synthesis and Reinforcement Learning for Discounted LTL
null
null
null
null
cs.LO cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The difficulty of manually specifying reward functions has led to an interest in using linear temporal logic (LTL) to express objectives for reinforcement learning (RL). However, LTL has the downside that it is sensitive to small perturbations in the transition probabilities, which prevents probably approximately cor...
[ { "created": "Fri, 26 May 2023 17:32:38 GMT", "version": "v1" }, { "created": "Mon, 29 May 2023 23:43:19 GMT", "version": "v2" } ]
2023-05-31
[ [ "Alur", "Rajeev", "" ], [ "Bastani", "Osbert", "" ], [ "Jothimurugan", "Kishor", "" ], [ "Perez", "Mateo", "" ], [ "Somenzi", "Fabio", "" ], [ "Trivedi", "Ashutosh", "" ] ]
The difficulty of manually specifying reward functions has led to an interest in using linear temporal logic (LTL) to express objectives for reinforcement learning (RL). However, LTL has the downside that it is sensitive to small perturbations in the transition probabilities, which prevents probably approximately corre...
2407.12684
Yu-Jie Yuan
Yu-Jie Yuan, Leif Kobbelt, Jiwen Liu, Yuan Zhang, Pengfei Wan, Yu-Kun Lai, Lin Gao
4Dynamic: Text-to-4D Generation with Hybrid Priors
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Due to the fascinating generative performance of text-to-image diffusion models, growing text-to-3D generation works explore distilling the 2D generative priors into 3D, using the score distillation sampling (SDS) loss, to bypass the data scarcity problem. The existing text-to-3D methods have achieved promising resul...
[ { "created": "Wed, 17 Jul 2024 16:02:55 GMT", "version": "v1" } ]
2024-07-18
[ [ "Yuan", "Yu-Jie", "" ], [ "Kobbelt", "Leif", "" ], [ "Liu", "Jiwen", "" ], [ "Zhang", "Yuan", "" ], [ "Wan", "Pengfei", "" ], [ "Lai", "Yu-Kun", "" ], [ "Gao", "Lin", "" ] ]
Due to the fascinating generative performance of text-to-image diffusion models, growing text-to-3D generation works explore distilling the 2D generative priors into 3D, using the score distillation sampling (SDS) loss, to bypass the data scarcity problem. The existing text-to-3D methods have achieved promising results...
1102.2768
Ananthanarayanan Chockalingam
Suresh Chandrasekaran, Saif K. Mohammed, and A. Chockalingam
Achievable Rate Region of Quantized Broadcast and MAC Channels
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we study the achievable rate region of Gaussian multiuser channels with the messages transmitted being from finite input alphabets and the outputs being {\em quantized at the receiver}. In particular, we focus on the achievable rate region of $i)$ Gaussian broadcast channel (GBC) and $ii)$ Gaussian mul...
[ { "created": "Mon, 14 Feb 2011 13:49:31 GMT", "version": "v1" } ]
2011-02-15
[ [ "Chandrasekaran", "Suresh", "" ], [ "Mohammed", "Saif K.", "" ], [ "Chockalingam", "A.", "" ] ]
In this paper, we study the achievable rate region of Gaussian multiuser channels with the messages transmitted being from finite input alphabets and the outputs being {\em quantized at the receiver}. In particular, we focus on the achievable rate region of $i)$ Gaussian broadcast channel (GBC) and $ii)$ Gaussian multi...
2403.16239
Savinay Nagendra
Savinay Nagendra
Thermal Analysis for NVIDIA GTX480 Fermi GPU Architecture
null
null
null
null
cs.AR
http://creativecommons.org/licenses/by/4.0/
In this project, we design a four-layer (Silicon|TIM|Silicon|TIM), 3D floor plan for NVIDIA GTX480 Fermi GPU architecture and compare heat dissipation and power trends for matrix multiplication and Needleman-Wunsch kernels. First, cuda kernels for the two algorithms are written. These kernels are compiled and execute...
[ { "created": "Sun, 24 Mar 2024 17:06:45 GMT", "version": "v1" } ]
2024-03-26
[ [ "Nagendra", "Savinay", "" ] ]
In this project, we design a four-layer (Silicon|TIM|Silicon|TIM), 3D floor plan for NVIDIA GTX480 Fermi GPU architecture and compare heat dissipation and power trends for matrix multiplication and Needleman-Wunsch kernels. First, cuda kernels for the two algorithms are written. These kernels are compiled and executed ...
2105.06603
Emily Allaway
Emily Allaway, Malavika Srikanth, and Kathleen McKeown
Adversarial Learning for Zero-Shot Stance Detection on Social Media
To appear in NAACL 2021
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Stance detection on social media can help to identify and understand slanted news or commentary in everyday life. In this work, we propose a new model for zero-shot stance detection on Twitter that uses adversarial learning to generalize across topics. Our model achieves state-of-the-art performance on a number of un...
[ { "created": "Fri, 14 May 2021 01:08:48 GMT", "version": "v1" } ]
2021-05-17
[ [ "Allaway", "Emily", "" ], [ "Srikanth", "Malavika", "" ], [ "McKeown", "Kathleen", "" ] ]
Stance detection on social media can help to identify and understand slanted news or commentary in everyday life. In this work, we propose a new model for zero-shot stance detection on Twitter that uses adversarial learning to generalize across topics. Our model achieves state-of-the-art performance on a number of unse...
1812.04905
Frederic Bour
Fr\'ed\'eric Bour
CAMLroot: revisiting the OCaml FFI
null
null
null
null
cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The OCaml language comes with a facility for interfacing with C code -- the Foreign Function Interface or FFI. The primitives for working with the OCaml runtime -- and, in particular, with the garbage collector (GC) -- strive for a minimal overhead: they avoid unnecessary work and allow for calls to C code to be very...
[ { "created": "Wed, 12 Dec 2018 11:37:02 GMT", "version": "v1" }, { "created": "Fri, 26 Apr 2019 13:52:54 GMT", "version": "v2" } ]
2019-04-29
[ [ "Bour", "Frédéric", "" ] ]
The OCaml language comes with a facility for interfacing with C code -- the Foreign Function Interface or FFI. The primitives for working with the OCaml runtime -- and, in particular, with the garbage collector (GC) -- strive for a minimal overhead: they avoid unnecessary work and allow for calls to C code to be very c...
2003.00126
Zhe Zeng Miss
Zhe Zeng, Paolo Morettin, Fanqi Yan, Antonio Vergari, Guy Van den Broeck
Scaling up Hybrid Probabilistic Inference with Logical and Arithmetic Constraints via Message Passing
null
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Weighted model integration (WMI) is a very appealing framework for probabilistic inference: it allows to express the complex dependencies of real-world problems where variables are both continuous and discrete, via the language of Satisfiability Modulo Theories (SMT), as well as to compute probabilistic queries with ...
[ { "created": "Fri, 28 Feb 2020 23:51:45 GMT", "version": "v1" }, { "created": "Wed, 19 Aug 2020 22:41:13 GMT", "version": "v2" } ]
2020-08-21
[ [ "Zeng", "Zhe", "" ], [ "Morettin", "Paolo", "" ], [ "Yan", "Fanqi", "" ], [ "Vergari", "Antonio", "" ], [ "Broeck", "Guy Van den", "" ] ]
Weighted model integration (WMI) is a very appealing framework for probabilistic inference: it allows to express the complex dependencies of real-world problems where variables are both continuous and discrete, via the language of Satisfiability Modulo Theories (SMT), as well as to compute probabilistic queries with co...
2201.11897
Yuekai Huang
Yuekai Huang, Ye Yang, Junjie Wang, Wei Zheng, Qing Wang
Identifying Emergent Leadership in OSS Projects Based on Communication Styles
null
null
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In open source software (OSS) communities, existing leadership indicators are dominantly measured by code contribution or community influence. Recent studies on emergent leadership shed light on additional dimensions such as intellectual stimulation in collaborative communications. To that end, this paper proposes an...
[ { "created": "Fri, 28 Jan 2022 02:20:44 GMT", "version": "v1" } ]
2022-01-31
[ [ "Huang", "Yuekai", "" ], [ "Yang", "Ye", "" ], [ "Wang", "Junjie", "" ], [ "Zheng", "Wei", "" ], [ "Wang", "Qing", "" ] ]
In open source software (OSS) communities, existing leadership indicators are dominantly measured by code contribution or community influence. Recent studies on emergent leadership shed light on additional dimensions such as intellectual stimulation in collaborative communications. To that end, this paper proposes an a...
2009.13724
Fajie Yuan
Fajie Yuan, Guoxiao Zhang, Alexandros Karatzoglou, Joemon Jose, Beibei Kong, Yudong Li
One Person, One Model, One World: Learning Continual User Representation without Forgetting
null
null
null
null
cs.IR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Learning user representations is a vital technique toward effective user modeling and personalized recommender systems. Existing approaches often derive an individual set of model parameters for each task by training on separate data. However, the representation of the same user potentially has some commonalities, su...
[ { "created": "Tue, 29 Sep 2020 01:49:14 GMT", "version": "v1" }, { "created": "Thu, 1 Oct 2020 14:37:16 GMT", "version": "v2" }, { "created": "Sun, 9 May 2021 10:07:55 GMT", "version": "v3" } ]
2021-05-11
[ [ "Yuan", "Fajie", "" ], [ "Zhang", "Guoxiao", "" ], [ "Karatzoglou", "Alexandros", "" ], [ "Jose", "Joemon", "" ], [ "Kong", "Beibei", "" ], [ "Li", "Yudong", "" ] ]
Learning user representations is a vital technique toward effective user modeling and personalized recommender systems. Existing approaches often derive an individual set of model parameters for each task by training on separate data. However, the representation of the same user potentially has some commonalities, such...
1204.4209
Venkatesan Guruswami
Venkatesan Guruswami and Chaoping Xing
Folded Codes from Function Field Towers and Improved Optimal Rate List Decoding
Conference version appears at STOC 2012
null
null
null
cs.IT cs.DS math.AG math.IT math.NT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We give a new construction of algebraic codes which are efficiently list decodable from a fraction $1-R-\eps$ of adversarial errors where $R$ is the rate of the code, for any desired positive constant $\eps$. The worst-case list size output by the algorithm is $O(1/\eps)$, matching the existential bound for random co...
[ { "created": "Wed, 18 Apr 2012 21:02:36 GMT", "version": "v1" } ]
2015-03-20
[ [ "Guruswami", "Venkatesan", "" ], [ "Xing", "Chaoping", "" ] ]
We give a new construction of algebraic codes which are efficiently list decodable from a fraction $1-R-\eps$ of adversarial errors where $R$ is the rate of the code, for any desired positive constant $\eps$. The worst-case list size output by the algorithm is $O(1/\eps)$, matching the existential bound for random code...
2304.14358
\v{S}imon Bil\'ik
Juraj Lagin, Simon Bilik
Structure Analysis of the FRP Rebar Using Computer Vision Techniques
null
null
null
null
cs.CV cs.NA math.NA
http://creativecommons.org/licenses/by/4.0/
In this paper we present a method to analyze the inner structure of the composite FRP rebar, namely the shift of the real center of gravity with a respect to the geometrical center of rebar and changes of cross-sectional characteristics. We propose an automated pipeline based on classical computer vision techniques a...
[ { "created": "Thu, 27 Apr 2023 17:37:23 GMT", "version": "v1" } ]
2023-04-28
[ [ "Lagin", "Juraj", "" ], [ "Bilik", "Simon", "" ] ]
In this paper we present a method to analyze the inner structure of the composite FRP rebar, namely the shift of the real center of gravity with a respect to the geometrical center of rebar and changes of cross-sectional characteristics. We propose an automated pipeline based on classical computer vision techniques and...
1807.07432
Thomas Mitchel
Thomas W. Mitchel, Sipu Ruan, Gregory S. Chirikjian
Signal Alignment for Humanoid Skeletons via the Globally Optimal Reparameterization Algorithm
Humanoids 2018 initial submission; companion paper to arXiv:1807.05485
null
null
null
cs.CV math.OC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The general ability to analyze and classify the 3D kinematics of the human form is an essential step in the development of socially adept humanoid robots. A variety of different types of signals can be used by machines to represent and characterize actions such as RGB videos, infrared maps, and optical flow. In parti...
[ { "created": "Wed, 18 Jul 2018 03:16:39 GMT", "version": "v1" }, { "created": "Fri, 20 Jul 2018 15:14:55 GMT", "version": "v2" } ]
2018-07-23
[ [ "Mitchel", "Thomas W.", "" ], [ "Ruan", "Sipu", "" ], [ "Chirikjian", "Gregory S.", "" ] ]
The general ability to analyze and classify the 3D kinematics of the human form is an essential step in the development of socially adept humanoid robots. A variety of different types of signals can be used by machines to represent and characterize actions such as RGB videos, infrared maps, and optical flow. In particu...
2310.13361
Wenyu Guo
Wenyu Guo, Qingkai Fang, Dong Yu, Yang Feng
Bridging the Gap between Synthetic and Authentic Images for Multimodal Machine Translation
Accepted to EMNLP 2023 main conference
null
null
null
cs.CV cs.AI cs.CL
http://creativecommons.org/licenses/by/4.0/
Multimodal machine translation (MMT) simultaneously takes the source sentence and a relevant image as input for translation. Since there is no paired image available for the input sentence in most cases, recent studies suggest utilizing powerful text-to-image generation models to provide image inputs. Nevertheless, s...
[ { "created": "Fri, 20 Oct 2023 09:06:30 GMT", "version": "v1" } ]
2023-10-23
[ [ "Guo", "Wenyu", "" ], [ "Fang", "Qingkai", "" ], [ "Yu", "Dong", "" ], [ "Feng", "Yang", "" ] ]
Multimodal machine translation (MMT) simultaneously takes the source sentence and a relevant image as input for translation. Since there is no paired image available for the input sentence in most cases, recent studies suggest utilizing powerful text-to-image generation models to provide image inputs. Nevertheless, syn...
1603.00418
Ahmad Al- Shamailh
Ahmad Al- Shamailh
Visualizing source code in 3D Maya software
null
null
null
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper is clarify the summaries codes for programmers through three-dimensional shapes, and clearly programmers and developers, scholars and researchers in the field of software engineering, as well as researchers from the representative about threedimensional forms. Through a three-dimensional drawing on a Ma...
[ { "created": "Tue, 1 Mar 2016 19:26:42 GMT", "version": "v1" } ]
2016-03-02
[ [ "Shamailh", "Ahmad Al-", "" ] ]
In this paper is clarify the summaries codes for programmers through three-dimensional shapes, and clearly programmers and developers, scholars and researchers in the field of software engineering, as well as researchers from the representative about threedimensional forms. Through a three-dimensional drawing on a Maya...
2109.11541
Han Wu
Han Wu, Kun Xu, Linqi Song
CSAGN: Conversational Structure Aware Graph Network for Conversational Semantic Role Labeling
To appear in EMNLP 2021
null
null
null
cs.CL cs.AI cs.LG
http://creativecommons.org/licenses/by-nc-sa/4.0/
Conversational semantic role labeling (CSRL) is believed to be a crucial step towards dialogue understanding. However, it remains a major challenge for existing CSRL parser to handle conversational structural information. In this paper, we present a simple and effective architecture for CSRL which aims to address thi...
[ { "created": "Thu, 23 Sep 2021 07:47:28 GMT", "version": "v1" }, { "created": "Thu, 4 Nov 2021 06:57:06 GMT", "version": "v2" } ]
2021-11-05
[ [ "Wu", "Han", "" ], [ "Xu", "Kun", "" ], [ "Song", "Linqi", "" ] ]
Conversational semantic role labeling (CSRL) is believed to be a crucial step towards dialogue understanding. However, it remains a major challenge for existing CSRL parser to handle conversational structural information. In this paper, we present a simple and effective architecture for CSRL which aims to address this ...
1910.12800
Xing Zhao
Xing Zhao, Ping Lu, Yanyan Zhang, Jianxiong Chen, and Xiaoyang Li
Attenuating Random Noise in Seismic Data by a Deep Learning Approach
33 pages, 11 figures
null
null
null
cs.LG cs.CV eess.IV stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the geophysical field, seismic noise attenuation has been considered as a critical and long-standing problem, especially for the pre-stack data processing. Here, we propose a model to leverage the deep-learning model for this task. Rather than directly applying an existing de-noising model from ordinary images to ...
[ { "created": "Mon, 28 Oct 2019 16:53:26 GMT", "version": "v1" } ]
2019-10-29
[ [ "Zhao", "Xing", "" ], [ "Lu", "Ping", "" ], [ "Zhang", "Yanyan", "" ], [ "Chen", "Jianxiong", "" ], [ "Li", "Xiaoyang", "" ] ]
In the geophysical field, seismic noise attenuation has been considered as a critical and long-standing problem, especially for the pre-stack data processing. Here, we propose a model to leverage the deep-learning model for this task. Rather than directly applying an existing de-noising model from ordinary images to th...
2305.00735
Roel Bouman
Roel Bouman, Zaharah Bukhsh, Tom Heskes
Unsupervised anomaly detection algorithms on real-world data: how many do we need?
The associated Git repository can be found at: https://github.com/RoelBouman/outlierdetection
Journal of Machine Learning Research 25.105 (2024): 1-34
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by/4.0/
In this study we evaluate 32 unsupervised anomaly detection algorithms on 52 real-world multivariate tabular datasets, performing the largest comparison of unsupervised anomaly detection algorithms to date. On this collection of datasets, the $k$-thNN (distance to the $k$-nearest neighbor) algorithm significantly out...
[ { "created": "Mon, 1 May 2023 09:27:42 GMT", "version": "v1" } ]
2024-05-28
[ [ "Bouman", "Roel", "" ], [ "Bukhsh", "Zaharah", "" ], [ "Heskes", "Tom", "" ] ]
In this study we evaluate 32 unsupervised anomaly detection algorithms on 52 real-world multivariate tabular datasets, performing the largest comparison of unsupervised anomaly detection algorithms to date. On this collection of datasets, the $k$-thNN (distance to the $k$-nearest neighbor) algorithm significantly outpe...
2106.05003
Guanchen Ding
Jingyuan Chen, Guanchen Ding, Yuchen Yang, Wenwei Han, Kangmin Xu, Tianyi Gao, Zhe Zhang, Wanping Ouyang, Hao Cai, Zhenzhong Chen
Dual-Modality Vehicle Anomaly Detection via Bilateral Trajectory Tracing
9 pages, 5 figures, accepted to CVPRW 2021
null
null
null
cs.CV cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Traffic anomaly detection has played a crucial role in Intelligent Transportation System (ITS). The main challenges of this task lie in the highly diversified anomaly scenes and variational lighting conditions. Although much work has managed to identify the anomaly in homogenous weather and scene, few resolved to cop...
[ { "created": "Wed, 9 Jun 2021 12:04:25 GMT", "version": "v1" } ]
2021-06-10
[ [ "Chen", "Jingyuan", "" ], [ "Ding", "Guanchen", "" ], [ "Yang", "Yuchen", "" ], [ "Han", "Wenwei", "" ], [ "Xu", "Kangmin", "" ], [ "Gao", "Tianyi", "" ], [ "Zhang", "Zhe", "" ], [ "Ouyang", "Wa...
Traffic anomaly detection has played a crucial role in Intelligent Transportation System (ITS). The main challenges of this task lie in the highly diversified anomaly scenes and variational lighting conditions. Although much work has managed to identify the anomaly in homogenous weather and scene, few resolved to cope ...
0903.1061
Tiberiu Marius Karnyanszky
Ovidiu Crista, Tiberiu Marius Karnyanszky
Application for Evaluation of the Professional Competencies of the Teaching Staff
6 pages (71-76), 5th "Actualities and Perspectives in Hard and Soft", 2007
Ann. Univ. Tibiscus Comp. Sci. Series 5 (2007), 71-76
null
null
cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The goal of the presented application is to offer a full support for universities in retrieving the feedback from their students with regard to their teachers. This is the main reason we described it in this paper. To build this application the following tools have been used: Microsoft Notepad 5.1 (to make the source...
[ { "created": "Thu, 5 Mar 2009 18:41:47 GMT", "version": "v1" } ]
2009-03-10
[ [ "Crista", "Ovidiu", "" ], [ "Karnyanszky", "Tiberiu Marius", "" ] ]
The goal of the presented application is to offer a full support for universities in retrieving the feedback from their students with regard to their teachers. This is the main reason we described it in this paper. To build this application the following tools have been used: Microsoft Notepad 5.1 (to make the source f...
1307.7211
Giovanni Geraci
Giovanni Geraci, Harpreet S. Dhillon, Jeffrey G. Andrews, Jinhong Yuan, and Iain B. Collings
Physical Layer Security in Downlink Multi-Antenna Cellular Networks
submitted to IEEE Transactions on Communications, July 2013
null
10.1109/TCOMM.2014.2314664
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we study physical layer security for the downlink of cellular networks, where the confidential messages transmitted to each mobile user can be eavesdropped by both (i) the other users in the same cell and (ii) the users in the other cells. The locations of base stations and mobile users are modeled as ...
[ { "created": "Sat, 27 Jul 2013 02:42:14 GMT", "version": "v1" } ]
2016-11-15
[ [ "Geraci", "Giovanni", "" ], [ "Dhillon", "Harpreet S.", "" ], [ "Andrews", "Jeffrey G.", "" ], [ "Yuan", "Jinhong", "" ], [ "Collings", "Iain B.", "" ] ]
In this paper, we study physical layer security for the downlink of cellular networks, where the confidential messages transmitted to each mobile user can be eavesdropped by both (i) the other users in the same cell and (ii) the users in the other cells. The locations of base stations and mobile users are modeled as tw...
1905.04093
Estefania Talavera
Estefania Talavera, Nicolai Petkov and Petia Radeva
Towards Unsupervised Familiar Scene Recognition in Egocentric Videos
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Nowadays, there is an upsurge of interest in using lifelogging devices. Such devices generate huge amounts of image data; consequently, the need for automatic methods for analyzing and summarizing these data is drastically increasing. We present a new method for familiar scene recognition in egocentric videos, based ...
[ { "created": "Fri, 10 May 2019 11:58:10 GMT", "version": "v1" } ]
2019-05-13
[ [ "Talavera", "Estefania", "" ], [ "Petkov", "Nicolai", "" ], [ "Radeva", "Petia", "" ] ]
Nowadays, there is an upsurge of interest in using lifelogging devices. Such devices generate huge amounts of image data; consequently, the need for automatic methods for analyzing and summarizing these data is drastically increasing. We present a new method for familiar scene recognition in egocentric videos, based on...
1701.02044
Abhishek Gupta
Abhishek K. Gupta, Jeffrey G. Andrews, Robert W. Heath Jr
Macro diversity in Cellular Networks with Random Blockages
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Blocking objects (blockages) between a transmitter and receiver cause wireless communication links to transition from line-of-sight (LOS) to non-line-of-sight (NLOS) propagation, which can greatly reduce the received power, particularly at higher frequencies such as millimeter wave (mmWave). We consider a cellular ne...
[ { "created": "Mon, 9 Jan 2017 01:17:51 GMT", "version": "v1" } ]
2017-01-10
[ [ "Gupta", "Abhishek K.", "" ], [ "Andrews", "Jeffrey G.", "" ], [ "Heath", "Robert W.", "Jr" ] ]
Blocking objects (blockages) between a transmitter and receiver cause wireless communication links to transition from line-of-sight (LOS) to non-line-of-sight (NLOS) propagation, which can greatly reduce the received power, particularly at higher frequencies such as millimeter wave (mmWave). We consider a cellular netw...
2209.10042
Hyeon Jeon
Hyeon Jeon, Michael Aupetit, DongHwa Shin, Aeri Cho, Seokhyeon Park, Jinwook Seo
Sanity Check for External Clustering Validation Benchmarks using Internal Validation Measures
Datasets available on https://github.com/hj-n/labeled-datasets
null
null
null
cs.LG
http://creativecommons.org/licenses/by-nc-nd/4.0/
We address the lack of reliability in benchmarking clustering techniques based on labeled datasets. A standard scheme in external clustering validation is to use class labels as ground truth clusters, based on the assumption that each class forms a single, clearly separated cluster. However, as such cluster-label mat...
[ { "created": "Tue, 20 Sep 2022 23:32:18 GMT", "version": "v1" } ]
2022-09-22
[ [ "Jeon", "Hyeon", "" ], [ "Aupetit", "Michael", "" ], [ "Shin", "DongHwa", "" ], [ "Cho", "Aeri", "" ], [ "Park", "Seokhyeon", "" ], [ "Seo", "Jinwook", "" ] ]
We address the lack of reliability in benchmarking clustering techniques based on labeled datasets. A standard scheme in external clustering validation is to use class labels as ground truth clusters, based on the assumption that each class forms a single, clearly separated cluster. However, as such cluster-label match...
2110.01616
Vikram Ramesh
Vikram Ramesh, Vighnesh Natarajan and Anil Prabhakar
A spatial-photonic Ising machine to solve the two-way number-partitioning problem
null
null
null
null
cs.ET physics.optics
http://creativecommons.org/licenses/by-nc-sa/4.0/
We evaluate the performance of different algorithms in minimizing the Hamiltonian of a spatial-photonic Ising machine (SPIM). We then encode the number-partitioning problem on the SPIM and adiabatically arrive at good solutions for the problem for over 16000 spins, with a time complexity that only scales linearly wit...
[ { "created": "Sun, 3 Oct 2021 22:00:58 GMT", "version": "v1" } ]
2021-10-06
[ [ "Ramesh", "Vikram", "" ], [ "Natarajan", "Vighnesh", "" ], [ "Prabhakar", "Anil", "" ] ]
We evaluate the performance of different algorithms in minimizing the Hamiltonian of a spatial-photonic Ising machine (SPIM). We then encode the number-partitioning problem on the SPIM and adiabatically arrive at good solutions for the problem for over 16000 spins, with a time complexity that only scales linearly with ...
2007.10934
Sujit P B Dr
Sarthak Bhagat and Sujit PB
UAV Target Tracking in Urban Environments Using Deep Reinforcement Learning
null
null
null
null
cs.RO cs.SY eess.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Persistent target tracking in urban environments using UAV is a difficult task due to the limited field of view, visibility obstruction from obstacles and uncertain target motion. The vehicle needs to plan intelligently in 3D such that the target visibility is maximized. In this paper, we introduce Target Following D...
[ { "created": "Tue, 21 Jul 2020 16:52:48 GMT", "version": "v1" } ]
2020-07-22
[ [ "Bhagat", "Sarthak", "" ], [ "PB", "Sujit", "" ] ]
Persistent target tracking in urban environments using UAV is a difficult task due to the limited field of view, visibility obstruction from obstacles and uncertain target motion. The vehicle needs to plan intelligently in 3D such that the target visibility is maximized. In this paper, we introduce Target Following DQN...
2009.12046
Lei Shu
Lei Shu, Alexandros Papangelis, Yi-Chia Wang, Gokhan Tur, Hu Xu, Zhaleh Feizollahi, Bing Liu, Piero Molino
Controllable Text Generation with Focused Variation
null
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This work introduces Focused-Variation Network (FVN), a novel model to control language generation. The main problems in previous controlled language generation models range from the difficulty of generating text according to the given attributes, to the lack of diversity of the generated texts. FVN addresses these i...
[ { "created": "Fri, 25 Sep 2020 06:31:06 GMT", "version": "v1" } ]
2020-09-28
[ [ "Shu", "Lei", "" ], [ "Papangelis", "Alexandros", "" ], [ "Wang", "Yi-Chia", "" ], [ "Tur", "Gokhan", "" ], [ "Xu", "Hu", "" ], [ "Feizollahi", "Zhaleh", "" ], [ "Liu", "Bing", "" ], [ "Molino", ...
This work introduces Focused-Variation Network (FVN), a novel model to control language generation. The main problems in previous controlled language generation models range from the difficulty of generating text according to the given attributes, to the lack of diversity of the generated texts. FVN addresses these iss...
2407.16200
Milan Tomy
Milan Tomy, Konstantin M. Seiler, Andrew J. Hill
MCTS Based Dispatch of Autonomous Vehicles under Operational Constraints for Continuous Transportation
International Conference on Automation Science and Engineering (CASE), 2024
null
null
null
cs.AI
http://creativecommons.org/licenses/by-nc-nd/4.0/
Continuous transportation of material in the mining industry is achieved by the dispatch of autonomous haul-trucks with discrete haulage capacities. Recently, Monte Carlo Tree Search (MCTS) was successfully deployed in tackling challenges of long-run optimality, scalability and adaptability in haul-truck dispatch. Ty...
[ { "created": "Tue, 23 Jul 2024 06:06:16 GMT", "version": "v1" } ]
2024-07-24
[ [ "Tomy", "Milan", "" ], [ "Seiler", "Konstantin M.", "" ], [ "Hill", "Andrew J.", "" ] ]
Continuous transportation of material in the mining industry is achieved by the dispatch of autonomous haul-trucks with discrete haulage capacities. Recently, Monte Carlo Tree Search (MCTS) was successfully deployed in tackling challenges of long-run optimality, scalability and adaptability in haul-truck dispatch. Typi...
2404.06139
Pengfei Zhou
Pengfei Zhou, Fangxiang Feng, Xiaojie Wang
DiffHarmony: Latent Diffusion Model Meets Image Harmonization
Accepted by ICMR 2024
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Image harmonization, which involves adjusting the foreground of a composite image to attain a unified visual consistency with the background, can be conceptualized as an image-to-image translation task. Diffusion models have recently promoted the rapid development of image-to-image translation tasks . However, traini...
[ { "created": "Tue, 9 Apr 2024 09:05:23 GMT", "version": "v1" } ]
2024-04-10
[ [ "Zhou", "Pengfei", "" ], [ "Feng", "Fangxiang", "" ], [ "Wang", "Xiaojie", "" ] ]
Image harmonization, which involves adjusting the foreground of a composite image to attain a unified visual consistency with the background, can be conceptualized as an image-to-image translation task. Diffusion models have recently promoted the rapid development of image-to-image translation tasks . However, training...
2212.08817
Jun-Gi Jang
Jun-Gi Jang, Sooyeon Shim, Vladimir Egay, Jeeyong Lee, Jongmin Park, Suhyun Chae, U Kang
Accurate Open-set Recognition for Memory Workload
15 pages, 5 figures
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
How can we accurately identify new memory workloads while classifying known memory workloads? Verifying DRAM (Dynamic Random Access Memory) using various workloads is an important task to guarantee the quality of DRAM. A crucial component in the process is open-set recognition which aims to detect new workloads not s...
[ { "created": "Sat, 17 Dec 2022 07:37:40 GMT", "version": "v1" } ]
2022-12-20
[ [ "Jang", "Jun-Gi", "" ], [ "Shim", "Sooyeon", "" ], [ "Egay", "Vladimir", "" ], [ "Lee", "Jeeyong", "" ], [ "Park", "Jongmin", "" ], [ "Chae", "Suhyun", "" ], [ "Kang", "U", "" ] ]
How can we accurately identify new memory workloads while classifying known memory workloads? Verifying DRAM (Dynamic Random Access Memory) using various workloads is an important task to guarantee the quality of DRAM. A crucial component in the process is open-set recognition which aims to detect new workloads not see...
2402.18698
Ziyun Yang
Ziyun Yang, Kevin Choy, and Sina Farsiu
Spatial Coherence Loss: All Objects Matter in Salient and Camouflaged Object Detection
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Generic object detection is a category-independent task that relies on accurate modeling of objectness. We show that for accurate semantic analysis, the network needs to learn all object-level predictions that appear at any stage of learning, including the pre-defined ground truth (GT) objects and the ambiguous decoy...
[ { "created": "Wed, 28 Feb 2024 20:27:49 GMT", "version": "v1" }, { "created": "Tue, 16 Jul 2024 20:23:30 GMT", "version": "v2" } ]
2024-07-18
[ [ "Yang", "Ziyun", "" ], [ "Choy", "Kevin", "" ], [ "Farsiu", "Sina", "" ] ]
Generic object detection is a category-independent task that relies on accurate modeling of objectness. We show that for accurate semantic analysis, the network needs to learn all object-level predictions that appear at any stage of learning, including the pre-defined ground truth (GT) objects and the ambiguous decoy o...
1504.01218
Mohammad Shahedul Karim
Mohammad S. Karim, Parastoo Sadeghi, Sameh Sorour, Neda Aboutorab
Instantly Decodable Network Coding for Real-Time Scalable Video Broadcast over Wireless Networks
null
null
10.1186/s13634-015-0299-6
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we study a real-time scalable video broadcast over wireless networks in instantly decodable network coded (IDNC) systems. Such real-time scalable video has a hard deadline and imposes a decoding order on the video layers.We first derive the upper bound on the probability that the individual completion ...
[ { "created": "Mon, 6 Apr 2015 07:14:46 GMT", "version": "v1" } ]
2016-02-17
[ [ "Karim", "Mohammad S.", "" ], [ "Sadeghi", "Parastoo", "" ], [ "Sorour", "Sameh", "" ], [ "Aboutorab", "Neda", "" ] ]
In this paper, we study a real-time scalable video broadcast over wireless networks in instantly decodable network coded (IDNC) systems. Such real-time scalable video has a hard deadline and imposes a decoding order on the video layers.We first derive the upper bound on the probability that the individual completion ti...
2209.01755
Atsushi Kawamoto
Yuki Sato, Teppei Deguchi, Tsuyoshi Nomura and Atsushi Kawamoto
Free material optimization of thermal conductivity tensors with asymmetric components
12 pages, 9 figures
null
null
null
cs.CE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Free Material Optimization (FMO), a branch of topology optimization, in which the design variables are the full constitutive tensors, can provide the most general form of the design problems. Considering the microstructure composed of isotropic materials, the constitutive tensors are yet positive definite and symmetr...
[ { "created": "Mon, 5 Sep 2022 04:20:58 GMT", "version": "v1" } ]
2022-09-07
[ [ "Sato", "Yuki", "" ], [ "Deguchi", "Teppei", "" ], [ "Nomura", "Tsuyoshi", "" ], [ "Kawamoto", "Atsushi", "" ] ]
Free Material Optimization (FMO), a branch of topology optimization, in which the design variables are the full constitutive tensors, can provide the most general form of the design problems. Considering the microstructure composed of isotropic materials, the constitutive tensors are yet positive definite and symmetric...
1811.02062
Xuankai Chang
Xuankai Chang and Yanmin Qian and Kai Yu and Shinji Watanabe
End-to-End Monaural Multi-speaker ASR System without Pretraining
submitted to ICASSP2019
null
null
null
cs.CL cs.SD eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recently, end-to-end models have become a popular approach as an alternative to traditional hybrid models in automatic speech recognition (ASR). The multi-speaker speech separation and recognition task is a central task in cocktail party problem. In this paper, we present a state-of-the-art monaural multi-speaker end...
[ { "created": "Mon, 5 Nov 2018 22:21:51 GMT", "version": "v1" } ]
2018-11-07
[ [ "Chang", "Xuankai", "" ], [ "Qian", "Yanmin", "" ], [ "Yu", "Kai", "" ], [ "Watanabe", "Shinji", "" ] ]
Recently, end-to-end models have become a popular approach as an alternative to traditional hybrid models in automatic speech recognition (ASR). The multi-speaker speech separation and recognition task is a central task in cocktail party problem. In this paper, we present a state-of-the-art monaural multi-speaker end-t...
2104.01355
Ermin Sakic
Ermin Sakic, Petra Vizarreta, Wolfgang Kellerer
SEER: Performance-Aware Leader Election in Single-Leader Consensus
null
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Modern stateful web services and distributed SDN controllers rely on log replication to omit data loss in case of fail-stop failures. In single-leader execution, the leader replica is responsible for ordering log updates and the initiation of distributed commits, in order to guarantee log consistency. Network congest...
[ { "created": "Sat, 3 Apr 2021 09:15:16 GMT", "version": "v1" } ]
2021-04-06
[ [ "Sakic", "Ermin", "" ], [ "Vizarreta", "Petra", "" ], [ "Kellerer", "Wolfgang", "" ] ]
Modern stateful web services and distributed SDN controllers rely on log replication to omit data loss in case of fail-stop failures. In single-leader execution, the leader replica is responsible for ordering log updates and the initiation of distributed commits, in order to guarantee log consistency. Network congestio...
1806.03639
Ali Esswie Dr.
Ali A. Esswie, Octavia A. Dobre, and Salama Ikki
Directional Spatial Channel Estimation For Massive FD-MIMO in Next Generation 5G Networks
null
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Full-dimensional (FD) channel state information at transmitter (CSIT) has always been a major limitation of the spectral efficiency of cellular multi-input multi-output (MIMO) networks. This letter proposes an FD-directional spatial channel estimation algorithm for frequency division duplex massive FD-MIMO systems. T...
[ { "created": "Sun, 10 Jun 2018 12:02:49 GMT", "version": "v1" } ]
2018-06-12
[ [ "Esswie", "Ali A.", "" ], [ "Dobre", "Octavia A.", "" ], [ "Ikki", "Salama", "" ] ]
Full-dimensional (FD) channel state information at transmitter (CSIT) has always been a major limitation of the spectral efficiency of cellular multi-input multi-output (MIMO) networks. This letter proposes an FD-directional spatial channel estimation algorithm for frequency division duplex massive FD-MIMO systems. The...
1601.02071
Eduardo Graells-Garrido
Eduardo Graells-Garrido, Mounia Lalmas, Ricardo Baeza-Yates
Sentiment Visualisation Widgets for Exploratory Search
Presented at the Social Personalization Workshop held jointly with ACM Hypertext 2014. 6 pages
null
null
null
cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper proposes the usage of \emph{visualisation widgets} for exploratory search with \emph{sentiment} as a facet. Starting from specific design goals for depiction of ambivalence in sentiment, two visualization widgets were implemented: \emph{scatter plot} and \emph{parallel coordinates}. Those widgets were eval...
[ { "created": "Sat, 9 Jan 2016 03:48:07 GMT", "version": "v1" } ]
2016-01-12
[ [ "Graells-Garrido", "Eduardo", "" ], [ "Lalmas", "Mounia", "" ], [ "Baeza-Yates", "Ricardo", "" ] ]
This paper proposes the usage of \emph{visualisation widgets} for exploratory search with \emph{sentiment} as a facet. Starting from specific design goals for depiction of ambivalence in sentiment, two visualization widgets were implemented: \emph{scatter plot} and \emph{parallel coordinates}. Those widgets were evalua...
1702.01695
EPTCS
Dan R Ghica (University of Birmingham), Aliaume Lopez (ENS Cachan)
A Structural and Nominal Syntax for Diagrams
In Proceedings QPL 2017, arXiv:1802.09737
EPTCS 266, 2018, pp. 71-83
10.4204/EPTCS.266.4
null
cs.PL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The correspondence between monoidal categories and graphical languages of diagrams has been studied extensively, leading to applications in quantum computing and communication, systems theory, circuit design and more. From the categorical perspective, diagrams can be specified using (name-free) combinators which enjo...
[ { "created": "Mon, 6 Feb 2017 16:40:00 GMT", "version": "v1" }, { "created": "Fri, 2 Mar 2018 03:45:32 GMT", "version": "v2" } ]
2018-03-05
[ [ "Ghica", "Dan R", "", "University of Birmingham" ], [ "Lopez", "Aliaume", "", "ENS Cachan" ] ]
The correspondence between monoidal categories and graphical languages of diagrams has been studied extensively, leading to applications in quantum computing and communication, systems theory, circuit design and more. From the categorical perspective, diagrams can be specified using (name-free) combinators which enjoy ...
2308.11300
Thomas O'Connell
Thomas P. O'Connell, Tyler Bonnen, Yoni Friedman, Ayush Tewari, Josh B. Tenenbaum, Vincent Sitzmann, Nancy Kanwisher
Approaching human 3D shape perception with neurally mappable models
null
null
null
null
cs.CV cs.GT
http://creativecommons.org/licenses/by-nc-nd/4.0/
Humans effortlessly infer the 3D shape of objects. What computations underlie this ability? Although various computational models have been proposed, none of them capture the human ability to match object shape across viewpoints. Here, we ask whether and how this gap might be closed. We begin with a relatively novel ...
[ { "created": "Tue, 22 Aug 2023 09:29:05 GMT", "version": "v1" }, { "created": "Thu, 7 Sep 2023 21:18:15 GMT", "version": "v2" } ]
2023-09-11
[ [ "O'Connell", "Thomas P.", "" ], [ "Bonnen", "Tyler", "" ], [ "Friedman", "Yoni", "" ], [ "Tewari", "Ayush", "" ], [ "Tenenbaum", "Josh B.", "" ], [ "Sitzmann", "Vincent", "" ], [ "Kanwisher", "Nancy", "" ...
Humans effortlessly infer the 3D shape of objects. What computations underlie this ability? Although various computational models have been proposed, none of them capture the human ability to match object shape across viewpoints. Here, we ask whether and how this gap might be closed. We begin with a relatively novel cl...
1511.04808
Mengyi Liu
Mengyi Liu, Ruiping Wang, Shiguang Shan, Xilin Chen
Learning Mid-level Words on Riemannian Manifold for Action Recognition
10 pages
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Human action recognition remains a challenging task due to the various sources of video data and large intra-class variations. It thus becomes one of the key issues in recent research to explore effective and robust representation to handle such challenges. In this paper, we propose a novel representation approach by...
[ { "created": "Mon, 16 Nov 2015 03:18:06 GMT", "version": "v1" } ]
2015-11-17
[ [ "Liu", "Mengyi", "" ], [ "Wang", "Ruiping", "" ], [ "Shan", "Shiguang", "" ], [ "Chen", "Xilin", "" ] ]
Human action recognition remains a challenging task due to the various sources of video data and large intra-class variations. It thus becomes one of the key issues in recent research to explore effective and robust representation to handle such challenges. In this paper, we propose a novel representation approach by c...
2407.08227
Joaquim Jorge
Chihcheng Hsieh, Catarina Moreira, Isabel Blanco Nobre, Sandra Costa Sousa, Chun Ouyang, Margot Brereton, Joaquim Jorge and Jacinto C. Nascimento
DALL-M: Context-Aware Clinical Data Augmentation with LLMs
we introduce a pioneering approach to clinical data augmentation that employs large language models (LLMs) to generate patient contextual synthetic data. It preserves the integrity of real patient data while enriching the dataset with contextually relevant synthetic features, significantly enhancing model perfo...
null
null
null
cs.AI cs.IR cs.LG
http://creativecommons.org/licenses/by/4.0/
X-ray images are vital in medical diagnostics, but their effectiveness is limited without clinical context. Radiologists often find chest X-rays insufficient for diagnosing underlying diseases, necessitating comprehensive clinical features and data integration. We present a novel technique to enhance the clinical con...
[ { "created": "Thu, 11 Jul 2024 07:01:50 GMT", "version": "v1" } ]
2024-07-12
[ [ "Hsieh", "Chihcheng", "" ], [ "Moreira", "Catarina", "" ], [ "Nobre", "Isabel Blanco", "" ], [ "Sousa", "Sandra Costa", "" ], [ "Ouyang", "Chun", "" ], [ "Brereton", "Margot", "" ], [ "Jorge", "Joaquim", ""...
X-ray images are vital in medical diagnostics, but their effectiveness is limited without clinical context. Radiologists often find chest X-rays insufficient for diagnosing underlying diseases, necessitating comprehensive clinical features and data integration. We present a novel technique to enhance the clinical conte...
2204.10245
Ping Li
Jinxing Yu, Yunfeng Cai, Mingming Sun, Ping Li
SpaceE: Knowledge Graph Embedding by Relational Linear Transformation in the Entity Space
null
null
null
null
cs.CL
http://creativecommons.org/licenses/by/4.0/
Translation distance based knowledge graph embedding (KGE) methods, such as TransE and RotatE, model the relation in knowledge graphs as translation or rotation in the vector space. Both translation and rotation are injective; that is, the translation or rotation of different vectors results in different results. In ...
[ { "created": "Thu, 21 Apr 2022 16:26:20 GMT", "version": "v1" } ]
2022-04-22
[ [ "Yu", "Jinxing", "" ], [ "Cai", "Yunfeng", "" ], [ "Sun", "Mingming", "" ], [ "Li", "Ping", "" ] ]
Translation distance based knowledge graph embedding (KGE) methods, such as TransE and RotatE, model the relation in knowledge graphs as translation or rotation in the vector space. Both translation and rotation are injective; that is, the translation or rotation of different vectors results in different results. In kn...
2207.13988
Matej Ul\v{c}ar
Matej Ul\v{c}ar, Marko Robnik-\v{S}ikonja
Sequence to sequence pretraining for a less-resourced Slovenian language
19 pages
null
null
null
cs.CL
http://creativecommons.org/licenses/by-sa/4.0/
Large pretrained language models have recently conquered the area of natural language processing. As an alternative to predominant masked language modelling introduced in BERT, the T5 model has introduced a more general training objective, namely sequence to sequence transformation, which includes masked language mod...
[ { "created": "Thu, 28 Jul 2022 10:08:50 GMT", "version": "v1" }, { "created": "Mon, 2 Jan 2023 15:57:04 GMT", "version": "v2" } ]
2023-01-03
[ [ "Ulčar", "Matej", "" ], [ "Robnik-Šikonja", "Marko", "" ] ]
Large pretrained language models have recently conquered the area of natural language processing. As an alternative to predominant masked language modelling introduced in BERT, the T5 model has introduced a more general training objective, namely sequence to sequence transformation, which includes masked language model...
1408.2034
Vicenc Gomez
Vicenc Gomez, Hilbert Kappen, Michael Chertkov
Approximate inference on planar graphs using Loop Calculus and Belief Propagation
Appears in Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence (UAI2009)
null
null
UAI-P-2009-PG-195-202
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We introduce novel results for approximate inference on planar graphical models using the loop calculus framework. The loop calculus (Chertkov and Chernyak, 2006b) allows to express the exact partition function Z of a graphical model as a finite sum of terms that can be evaluated once the belief propagation (BP) solu...
[ { "created": "Sat, 9 Aug 2014 05:28:26 GMT", "version": "v1" } ]
2014-08-12
[ [ "Gomez", "Vicenc", "" ], [ "Kappen", "Hilbert", "" ], [ "Chertkov", "Michael", "" ] ]
We introduce novel results for approximate inference on planar graphical models using the loop calculus framework. The loop calculus (Chertkov and Chernyak, 2006b) allows to express the exact partition function Z of a graphical model as a finite sum of terms that can be evaluated once the belief propagation (BP) soluti...
0904.0313
Petar Kormushev
Petar Kormushev
Visual approach for data mining on medical information databases using Fastmap algorithm
Master's Thesis in Bio- and Medical Informatics, 76 pages, in Bulgarian. Submitted to Faculty of Mathematics and Informatics, Sofia University, 2006
null
null
null
cs.IR cs.DB
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The rapid development of tools for acquisition and storage of information has lead to the formation of enormous medical databases. The large quantity of data definitely surpasses the abilities of humans for efficient usage without specialized tools for analysis. The situation is described as rich in data, but poor in...
[ { "created": "Thu, 2 Apr 2009 06:14:42 GMT", "version": "v1" } ]
2009-04-03
[ [ "Kormushev", "Petar", "" ] ]
The rapid development of tools for acquisition and storage of information has lead to the formation of enormous medical databases. The large quantity of data definitely surpasses the abilities of humans for efficient usage without specialized tools for analysis. The situation is described as rich in data, but poor in i...
2307.09642
Wei-Lun Huang
Wei-Lun Huang, Davood Tashayyod, Jun Kang, Amir Gandjbakhche, Michael Kazhdan, Mehran Armand
Skin Lesion Correspondence Localization in Total Body Photography
MICCAI-2023
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Longitudinal tracking of skin lesions - finding correspondence, changes in morphology, and texture - is beneficial to the early detection of melanoma. However, it has not been well investigated in the context of full-body imaging. We propose a novel framework combining geometric and texture information to localize sk...
[ { "created": "Tue, 18 Jul 2023 21:10:59 GMT", "version": "v1" }, { "created": "Tue, 22 Aug 2023 17:19:34 GMT", "version": "v2" } ]
2023-08-23
[ [ "Huang", "Wei-Lun", "" ], [ "Tashayyod", "Davood", "" ], [ "Kang", "Jun", "" ], [ "Gandjbakhche", "Amir", "" ], [ "Kazhdan", "Michael", "" ], [ "Armand", "Mehran", "" ] ]
Longitudinal tracking of skin lesions - finding correspondence, changes in morphology, and texture - is beneficial to the early detection of melanoma. However, it has not been well investigated in the context of full-body imaging. We propose a novel framework combining geometric and texture information to localize skin...
1810.06659
Yifan Wang
Yifan Wang, Shaoshan Liu, Xiaopei Wu, Weisong Shi
CAVBench: A Benchmark Suite for Connected and Autonomous Vehicles
13 pages, The Third ACM/IEEE Symposium on Edge Computing 2018 SEC
null
null
null
cs.DC cs.PF
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Connected and autonomous vehicles (CAVs) have recently attracted a significant amount of attention both from researchers and industry. Numerous studies targeting algorithms, software frameworks, and applications on the CAVs scenario have emerged. Meanwhile, several pioneer efforts have focused on the edge computing s...
[ { "created": "Mon, 15 Oct 2018 20:07:33 GMT", "version": "v1" } ]
2018-10-17
[ [ "Wang", "Yifan", "" ], [ "Liu", "Shaoshan", "" ], [ "Wu", "Xiaopei", "" ], [ "Shi", "Weisong", "" ] ]
Connected and autonomous vehicles (CAVs) have recently attracted a significant amount of attention both from researchers and industry. Numerous studies targeting algorithms, software frameworks, and applications on the CAVs scenario have emerged. Meanwhile, several pioneer efforts have focused on the edge computing sys...
1801.05086
Hung La
Huy X. Pham, Hung M. La, David Feil-Seifer, Luan V. Nguyen
Autonomous UAV Navigation Using Reinforcement Learning
null
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Unmanned aerial vehicles (UAV) are commonly used for missions in unknown environments, where an exact mathematical model of the environment may not be available. This paper provides a framework for using reinforcement learning to allow the UAV to navigate successfully in such environments. We conducted our simulation...
[ { "created": "Tue, 16 Jan 2018 01:14:12 GMT", "version": "v1" } ]
2018-01-17
[ [ "Pham", "Huy X.", "" ], [ "La", "Hung M.", "" ], [ "Feil-Seifer", "David", "" ], [ "Nguyen", "Luan V.", "" ] ]
Unmanned aerial vehicles (UAV) are commonly used for missions in unknown environments, where an exact mathematical model of the environment may not be available. This paper provides a framework for using reinforcement learning to allow the UAV to navigate successfully in such environments. We conducted our simulation a...
1910.04392
Yonglin Tian
Yonglin Tian, Kunfeng Wang, Yuang Wang, Yulin Tian, Zilei Wang, Fei-Yue Wang
Adaptive and Azimuth-Aware Fusion Network of Multimodal Local Features for 3D Object Detection
Accepted by Neurocomputing
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper focuses on the construction of stronger local features and the effective fusion of image and LiDAR data. We adopt different modalities of LiDAR data to generate richer features and present an adaptive and azimuth-aware network to aggregate local features from image, bird's eye view maps and point cloud. Ou...
[ { "created": "Thu, 10 Oct 2019 07:07:01 GMT", "version": "v1" }, { "created": "Wed, 3 Jun 2020 10:13:08 GMT", "version": "v2" } ]
2020-06-04
[ [ "Tian", "Yonglin", "" ], [ "Wang", "Kunfeng", "" ], [ "Wang", "Yuang", "" ], [ "Tian", "Yulin", "" ], [ "Wang", "Zilei", "" ], [ "Wang", "Fei-Yue", "" ] ]
This paper focuses on the construction of stronger local features and the effective fusion of image and LiDAR data. We adopt different modalities of LiDAR data to generate richer features and present an adaptive and azimuth-aware network to aggregate local features from image, bird's eye view maps and point cloud. Our ...
cs/0003022
Horacio Arlo-Costa
Horacio Arlo-Costa
Hypothetical revision and matter-of-fact supposition
9 pages. Presented at the Special Session on Belief change: theory and practice of the 8th Intl. Workshop on Non-Monotonic Reasoning NMR'2000
null
null
null
cs.AI cs.CL
null
The paper studies the notion of supposition encoded in non-Archimedean conditional probability (and revealed in the acceptance of the so-called indicative conditionals). The notion of qualitative change of view that thus arises is axiomatized and compared with standard notions like AGM and UPDATE. Applications in the...
[ { "created": "Wed, 8 Mar 2000 16:06:58 GMT", "version": "v1" } ]
2007-05-23
[ [ "Arlo-Costa", "Horacio", "" ] ]
The paper studies the notion of supposition encoded in non-Archimedean conditional probability (and revealed in the acceptance of the so-called indicative conditionals). The notion of qualitative change of view that thus arises is axiomatized and compared with standard notions like AGM and UPDATE. Applications in the f...
1902.10191
Jie Chen
Aldo Pareja, Giacomo Domeniconi, Jie Chen, Tengfei Ma, Toyotaro Suzumura, Hiroki Kanezashi, Tim Kaler, Tao B. Schardl, Charles E. Leiserson
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
AAAI 2020. The code is available at https://github.com/IBM/EvolveGCN
null
null
null
cs.LG cs.SI stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Graph representation learning resurges as a trending research subject owing to the widespread use of deep learning for Euclidean data, which inspire various creative designs of neural networks in the non-Euclidean domain, particularly graphs. With the success of these graph neural networks (GNN) in the static setting...
[ { "created": "Tue, 26 Feb 2019 20:07:34 GMT", "version": "v1" }, { "created": "Sun, 8 Sep 2019 03:33:46 GMT", "version": "v2" }, { "created": "Mon, 18 Nov 2019 18:42:50 GMT", "version": "v3" } ]
2019-11-19
[ [ "Pareja", "Aldo", "" ], [ "Domeniconi", "Giacomo", "" ], [ "Chen", "Jie", "" ], [ "Ma", "Tengfei", "" ], [ "Suzumura", "Toyotaro", "" ], [ "Kanezashi", "Hiroki", "" ], [ "Kaler", "Tim", "" ], [ "Sch...
Graph representation learning resurges as a trending research subject owing to the widespread use of deep learning for Euclidean data, which inspire various creative designs of neural networks in the non-Euclidean domain, particularly graphs. With the success of these graph neural networks (GNN) in the static setting, ...
1808.07198
Wei Li
Min Chen, Wei Li, Giancarlo Fortino, Yixue Hao, Long Hu, and Iztok Humar
A Dynamic Service-Migration Mechanism in Edge Cognitive Computing
null
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Driven by the vision of edge computing and the success of rich cognitive services based on artificial intelligence, a new computing paradigm, edge cognitive computing (ECC), is a promising approach that applies cognitive computing at the edge of the network. ECC has the potential to provide the cognition of users and...
[ { "created": "Wed, 22 Aug 2018 03:07:27 GMT", "version": "v1" } ]
2018-08-23
[ [ "Chen", "Min", "" ], [ "Li", "Wei", "" ], [ "Fortino", "Giancarlo", "" ], [ "Hao", "Yixue", "" ], [ "Hu", "Long", "" ], [ "Humar", "Iztok", "" ] ]
Driven by the vision of edge computing and the success of rich cognitive services based on artificial intelligence, a new computing paradigm, edge cognitive computing (ECC), is a promising approach that applies cognitive computing at the edge of the network. ECC has the potential to provide the cognition of users and n...
2209.06257
Teddy Lazebnik Dr.
Liron Simon Keren, Alex Liberzon, Teddy Lazebnik
A computational framework for physics-informed symbolic regression with straightforward integration of domain knowledge
null
Sci Rep 13, 1249 (2023)
10.1038/s41598-023-28328-2
null
cs.LG cs.CE cs.HC cs.IR
http://creativecommons.org/licenses/by-nc-nd/4.0/
Discovering a meaningful symbolic expression that explains experimental data is a fundamental challenge in many scientific fields. We present a novel, open-source computational framework called Scientist-Machine Equation Detector (SciMED), which integrates scientific discipline wisdom in a scientist-in-the-loop appro...
[ { "created": "Tue, 13 Sep 2022 18:31:23 GMT", "version": "v1" }, { "created": "Tue, 20 Dec 2022 04:54:11 GMT", "version": "v2" }, { "created": "Mon, 23 Jan 2023 19:10:13 GMT", "version": "v3" } ]
2023-03-02
[ [ "Keren", "Liron Simon", "" ], [ "Liberzon", "Alex", "" ], [ "Lazebnik", "Teddy", "" ] ]
Discovering a meaningful symbolic expression that explains experimental data is a fundamental challenge in many scientific fields. We present a novel, open-source computational framework called Scientist-Machine Equation Detector (SciMED), which integrates scientific discipline wisdom in a scientist-in-the-loop approac...
1902.04694
Thomas Gabor
Thomas Gabor, Marie Kiermeier, Andreas Sedlmeier, Bernhard Kempter, Cornel Klein, Horst Sauer, Reiner Schmid, Jan Wieghardt
Adapting Quality Assurance to Adaptive Systems: The Scenario Coevolution Paradigm
17 pages, published at ISOLA 2018
International Symposium on Leveraging Applications of Formal Methods (ISOLA). Springer, 2018
10.1007/978-3-030-03424-5_10
null
cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
From formal and practical analysis, we identify new challenges that self-adaptive systems pose to the process of quality assurance. When tackling these, the effort spent on various tasks in the process of software engineering is naturally re-distributed. We claim that all steps related to testing need to become self-...
[ { "created": "Wed, 13 Feb 2019 01:27:18 GMT", "version": "v1" } ]
2019-02-14
[ [ "Gabor", "Thomas", "" ], [ "Kiermeier", "Marie", "" ], [ "Sedlmeier", "Andreas", "" ], [ "Kempter", "Bernhard", "" ], [ "Klein", "Cornel", "" ], [ "Sauer", "Horst", "" ], [ "Schmid", "Reiner", "" ], [ ...
From formal and practical analysis, we identify new challenges that self-adaptive systems pose to the process of quality assurance. When tackling these, the effort spent on various tasks in the process of software engineering is naturally re-distributed. We claim that all steps related to testing need to become self-ad...
1907.06853
Wenqi Fan
Wenqi Fan, Yao Ma, Dawei Yin, Jianping Wang, Jiliang Tang, Qing Li
Deep Social Collaborative Filtering
Accepted by 13th ACM Conference on Recommender Systems (RecSys 2019, Long Paper)
null
null
null
cs.IR cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recommender systems are crucial to alleviate the information overload problem in online worlds. Most of the modern recommender systems capture users' preference towards items via their interactions based on collaborative filtering techniques. In addition to the user-item interactions, social networks can also provide...
[ { "created": "Tue, 16 Jul 2019 06:05:29 GMT", "version": "v1" } ]
2019-07-17
[ [ "Fan", "Wenqi", "" ], [ "Ma", "Yao", "" ], [ "Yin", "Dawei", "" ], [ "Wang", "Jianping", "" ], [ "Tang", "Jiliang", "" ], [ "Li", "Qing", "" ] ]
Recommender systems are crucial to alleviate the information overload problem in online worlds. Most of the modern recommender systems capture users' preference towards items via their interactions based on collaborative filtering techniques. In addition to the user-item interactions, social networks can also provide u...
1608.05864
Ahmad Masoud Dr
Ahmad A. Masoud
A Hybrid, PDE-ODE Control Strategy for Intercepting an Intelligent, well-informed Target in a Stationary, Cluttered Environment
22 pages, 20 figures, Journal paper
Applied Mathematical Sciences, HIKARI Ltd, Vol. 1, 2007, No. 48, 2345-2371
null
null
cs.RO cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In [1,2] a new class of intelligent controllers that can semantically embed an agent in a spatial context constraining its behavior in a goal-oriented manner was suggested. A controller of such a class can guide an agent in a stationary unknown environment to a fixed target zone along an obstacle-free trajectory. Her...
[ { "created": "Sat, 20 Aug 2016 19:02:19 GMT", "version": "v1" } ]
2016-08-23
[ [ "Masoud", "Ahmad A.", "" ] ]
In [1,2] a new class of intelligent controllers that can semantically embed an agent in a spatial context constraining its behavior in a goal-oriented manner was suggested. A controller of such a class can guide an agent in a stationary unknown environment to a fixed target zone along an obstacle-free trajectory. Here,...
1202.4406
Oleg Verbitsky
Johannes K\"obler, Sebastian Kuhnert, Oleg Verbitsky
Solving the Canonical Representation and Star System Problems for Proper Circular-Arc Graphs in Log-Space
19 pages, 3 figures, major revision
null
null
null
cs.CC cs.DM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a logspace algorithm that constructs a canonical intersection model for a given proper circular-arc graph, where `canonical' means that models of isomorphic graphs are equal. This implies that the recognition and the isomorphism problems for this class of graphs are solvable in logspace. For a broader clas...
[ { "created": "Mon, 20 Feb 2012 18:06:08 GMT", "version": "v1" }, { "created": "Wed, 7 Mar 2012 10:05:17 GMT", "version": "v2" }, { "created": "Thu, 15 Mar 2012 09:23:07 GMT", "version": "v3" }, { "created": "Tue, 8 May 2012 08:07:27 GMT", "version": "v4" }, { "cre...
2013-12-06
[ [ "Köbler", "Johannes", "" ], [ "Kuhnert", "Sebastian", "" ], [ "Verbitsky", "Oleg", "" ] ]
We present a logspace algorithm that constructs a canonical intersection model for a given proper circular-arc graph, where `canonical' means that models of isomorphic graphs are equal. This implies that the recognition and the isomorphism problems for this class of graphs are solvable in logspace. For a broader class ...
1908.03176
Sobhan Soleymani
Sobhan Soleymani, Ali Dabouei, Jeremy Dawson, Nasser M. Nasrabadi
Defending Against Adversarial Iris Examples Using Wavelet Decomposition
The Tenth IEEE International Conference on Biometrics: Theory, Applications, and Systems (BTAS 2019)
null
null
null
cs.CV cs.LG eess.IV stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep neural networks have presented impressive performance in biometric applications. However, their performance is highly at risk when facing carefully crafted input samples known as adversarial examples. In this paper, we present three defense strategies to detect adversarial iris examples. These defense strategies...
[ { "created": "Thu, 8 Aug 2019 17:08:25 GMT", "version": "v1" } ]
2019-08-09
[ [ "Soleymani", "Sobhan", "" ], [ "Dabouei", "Ali", "" ], [ "Dawson", "Jeremy", "" ], [ "Nasrabadi", "Nasser M.", "" ] ]
Deep neural networks have presented impressive performance in biometric applications. However, their performance is highly at risk when facing carefully crafted input samples known as adversarial examples. In this paper, we present three defense strategies to detect adversarial iris examples. These defense strategies a...
1707.01344
Wen Chean Teh
Wen Chean Teh
Compositions of Functions and Permutations Specified by Minimal Reaction Systems
10 pages, preprint
null
null
null
cs.FL math.CO q-bio.MN
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper studies mathematical properties of reaction systems that was introduced by Enrenfeucht and Rozenberg as computational models inspired by biochemical reaction in the living cells. In particular, we continue the study on the generative power of functions specified by minimal reaction systems under compositio...
[ { "created": "Tue, 4 Jul 2017 02:53:52 GMT", "version": "v1" } ]
2017-07-06
[ [ "Teh", "Wen Chean", "" ] ]
This paper studies mathematical properties of reaction systems that was introduced by Enrenfeucht and Rozenberg as computational models inspired by biochemical reaction in the living cells. In particular, we continue the study on the generative power of functions specified by minimal reaction systems under composition ...
1811.00839
Jiankai Sun
Jiankai Sun, Bortik Bandyopadhyay, Armin Bashizade, Jiongqian Liang, P. Sadayappan and Srinivasan Parthasarathy
ATP: Directed Graph Embedding with Asymmetric Transitivity Preservation
has been accepted to the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI 2019), acceptance rate: 1150/7095 = 16.2%
null
null
null
cs.AI cs.IR cs.LG cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Directed graphs have been widely used in Community Question Answering services (CQAs) to model asymmetric relationships among different types of nodes in CQA graphs, e.g., question, answer, user. Asymmetric transitivity is an essential property of directed graphs, since it can play an important role in downstream gra...
[ { "created": "Fri, 2 Nov 2018 12:45:16 GMT", "version": "v1" }, { "created": "Tue, 6 Nov 2018 14:25:49 GMT", "version": "v2" } ]
2018-11-07
[ [ "Sun", "Jiankai", "" ], [ "Bandyopadhyay", "Bortik", "" ], [ "Bashizade", "Armin", "" ], [ "Liang", "Jiongqian", "" ], [ "Sadayappan", "P.", "" ], [ "Parthasarathy", "Srinivasan", "" ] ]
Directed graphs have been widely used in Community Question Answering services (CQAs) to model asymmetric relationships among different types of nodes in CQA graphs, e.g., question, answer, user. Asymmetric transitivity is an essential property of directed graphs, since it can play an important role in downstream graph...
1206.1299
John Sun
John Z. Sun, Vinith Misra and Vivek K Goyal
Distributed Functional Scalar Quantization Simplified
null
IEEE Trans. on Signal Processing, vol. 61, no. 14, pp. 3495-3508, July 2013
10.1109/TSP.2013.2259483
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Distributed functional scalar quantization (DFSQ) theory provides optimality conditions and predicts performance of data acquisition systems in which a computation on acquired data is desired. We address two limitations of previous works: prohibitively expensive decoder design and a restriction to sources with bounde...
[ { "created": "Wed, 6 Jun 2012 19:00:45 GMT", "version": "v1" } ]
2015-03-24
[ [ "Sun", "John Z.", "" ], [ "Misra", "Vinith", "" ], [ "Goyal", "Vivek K", "" ] ]
Distributed functional scalar quantization (DFSQ) theory provides optimality conditions and predicts performance of data acquisition systems in which a computation on acquired data is desired. We address two limitations of previous works: prohibitively expensive decoder design and a restriction to sources with bounded ...
2302.08674
Tianyi Zheng
Tianyi Zheng
EnfoMax: Domain Entropy and Mutual Information Maximization for Domain Generalized Face Anti-spoofing
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The face anti-spoofing (FAS) method performs well under intra-domain setups. However, its cross-domain performance is unsatisfactory. As a result, the domain generalization (DG) method has gained more attention in FAS. Existing methods treat FAS as a simple binary classification task and propose a heuristic training ...
[ { "created": "Fri, 17 Feb 2023 03:54:18 GMT", "version": "v1" }, { "created": "Sun, 4 Jun 2023 11:28:48 GMT", "version": "v2" } ]
2023-06-06
[ [ "Zheng", "Tianyi", "" ] ]
The face anti-spoofing (FAS) method performs well under intra-domain setups. However, its cross-domain performance is unsatisfactory. As a result, the domain generalization (DG) method has gained more attention in FAS. Existing methods treat FAS as a simple binary classification task and propose a heuristic training ob...
2312.04572
Feifan Yu
Feifan Yu, Wenyuan Cong, Xinmin Chen, Yue Lin and Jiqiang Wang
Harnessing LSTM for Nonlinear Ship Deck Motion Prediction in UAV Autonomous Landing amidst High Sea States
11 pages, 7 figures, accept by ICANDVC2023
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Autonomous landing of UAVs in high sea states requires the UAV to land exclusively during the ship deck's "rest period," coinciding with minimal movement. Given this scenario, determining the ship's "rest period" based on its movement patterns becomes a fundamental prerequisite for addressing this challenge. This stu...
[ { "created": "Wed, 15 Nov 2023 07:29:10 GMT", "version": "v1" } ]
2023-12-11
[ [ "Yu", "Feifan", "" ], [ "Cong", "Wenyuan", "" ], [ "Chen", "Xinmin", "" ], [ "Lin", "Yue", "" ], [ "Wang", "Jiqiang", "" ] ]
Autonomous landing of UAVs in high sea states requires the UAV to land exclusively during the ship deck's "rest period," coinciding with minimal movement. Given this scenario, determining the ship's "rest period" based on its movement patterns becomes a fundamental prerequisite for addressing this challenge. This study...
2111.01086
Stefanie Scherzinger
Stefanie Scherzinger and Andreas Thor
AutoShard -- Declaratively Managing Hot Spot Data Objects in NoSQL Document Stores
Published at WebDB 2014
WebDB 2014
null
null
cs.DB
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
NoSQL document stores are becoming increasingly popular as backends in web development. Not only do they scale out to large volumes of data, many systems are even custom-tailored for this domain: NoSQL document stores like Google Cloud Datastore have been designed to support massively parallel reads, and even guarant...
[ { "created": "Mon, 1 Nov 2021 16:55:43 GMT", "version": "v1" } ]
2021-11-02
[ [ "Scherzinger", "Stefanie", "" ], [ "Thor", "Andreas", "" ] ]
NoSQL document stores are becoming increasingly popular as backends in web development. Not only do they scale out to large volumes of data, many systems are even custom-tailored for this domain: NoSQL document stores like Google Cloud Datastore have been designed to support massively parallel reads, and even guarantee...
2404.18117
Jing Yang
Jing Yang and Wei Yang
A Basis-preserving Algorithm for Computing the Bezout Matrix of Newton Polynomials
null
null
null
null
cs.SC cs.NA math.NA
http://creativecommons.org/licenses/by/4.0/
This paper tackles the problem of constructing Bezout matrices for Newton polynomials in a basis-preserving approach that operates directly with the given Newton basis, thus avoiding the need for transformation from Newton basis to monomial basis. This approach significantly reduces the computational cost and also mi...
[ { "created": "Sun, 28 Apr 2024 08:54:57 GMT", "version": "v1" } ]
2024-04-30
[ [ "Yang", "Jing", "" ], [ "Yang", "Wei", "" ] ]
This paper tackles the problem of constructing Bezout matrices for Newton polynomials in a basis-preserving approach that operates directly with the given Newton basis, thus avoiding the need for transformation from Newton basis to monomial basis. This approach significantly reduces the computational cost and also miti...
2007.10529
Jinyue Song
Jinyue Song, Tianbo Gu, Zheng Fang, Xiaotao Feng, Yunjie Ge, Hao Fu, Pengfei Hu, Prasant Mohapatra
Blockchain Meets COVID-19: A Framework for Contact Information Sharing and Risk Notification System
11 pages, 7 figures, this work has been accepted by IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS) 2021
null
null
null
cs.CR cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
COVID-19 is a severe global epidemic in human history. Even though there are particular medications and vaccines to curb the epidemic, tracing and isolating the infection source is the best option to slow the virus spread and reduce infection and death rates. There are three disadvantages to the existing contact trac...
[ { "created": "Mon, 20 Jul 2020 23:36:46 GMT", "version": "v1" }, { "created": "Tue, 1 Feb 2022 19:14:55 GMT", "version": "v2" } ]
2022-02-03
[ [ "Song", "Jinyue", "" ], [ "Gu", "Tianbo", "" ], [ "Fang", "Zheng", "" ], [ "Feng", "Xiaotao", "" ], [ "Ge", "Yunjie", "" ], [ "Fu", "Hao", "" ], [ "Hu", "Pengfei", "" ], [ "Mohapatra", "Prasant"...
COVID-19 is a severe global epidemic in human history. Even though there are particular medications and vaccines to curb the epidemic, tracing and isolating the infection source is the best option to slow the virus spread and reduce infection and death rates. There are three disadvantages to the existing contact tracin...
1802.02629
David Minnen
David Minnen, George Toderici, Michele Covell, Troy Chinen, Nick Johnston, Joel Shor, Sung Jin Hwang, Damien Vincent, Saurabh Singh
Spatially adaptive image compression using a tiled deep network
null
International Conference on Image Processing 2017
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Deep neural networks represent a powerful class of function approximators that can learn to compress and reconstruct images. Existing image compression algorithms based on neural networks learn quantized representations with a constant spatial bit rate across each image. While entropy coding introduces some spatial v...
[ { "created": "Wed, 7 Feb 2018 20:59:39 GMT", "version": "v1" } ]
2018-02-09
[ [ "Minnen", "David", "" ], [ "Toderici", "George", "" ], [ "Covell", "Michele", "" ], [ "Chinen", "Troy", "" ], [ "Johnston", "Nick", "" ], [ "Shor", "Joel", "" ], [ "Hwang", "Sung Jin", "" ], [ "Vinc...
Deep neural networks represent a powerful class of function approximators that can learn to compress and reconstruct images. Existing image compression algorithms based on neural networks learn quantized representations with a constant spatial bit rate across each image. While entropy coding introduces some spatial var...
1610.08717
Kashyap Thimmaraju
Kashyap Thimmaraju, Bhargava Shastry, Tobias Fiebig, Felicitas Hetzelt, Jean-Pierre Seifert, Anja Feldmann, Stefan Schmid
Reins to the Cloud: Compromising Cloud Systems via the Data Plane
null
null
null
null
cs.NI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Virtual switches have become popular among cloud operating systems to interconnect virtual machines in a more flexible manner. However, this paper demonstrates that virtual switches introduce new attack surfaces in cloud setups, whose effects can be disastrous. Our analysis shows that these vulnerabilities are caused...
[ { "created": "Thu, 27 Oct 2016 11:39:47 GMT", "version": "v1" }, { "created": "Fri, 10 Feb 2017 16:24:25 GMT", "version": "v2" } ]
2017-02-13
[ [ "Thimmaraju", "Kashyap", "" ], [ "Shastry", "Bhargava", "" ], [ "Fiebig", "Tobias", "" ], [ "Hetzelt", "Felicitas", "" ], [ "Seifert", "Jean-Pierre", "" ], [ "Feldmann", "Anja", "" ], [ "Schmid", "Stefan", ...
Virtual switches have become popular among cloud operating systems to interconnect virtual machines in a more flexible manner. However, this paper demonstrates that virtual switches introduce new attack surfaces in cloud setups, whose effects can be disastrous. Our analysis shows that these vulnerabilities are caused b...
2403.13843
Hamza Kheddar
Yassine Habchi, Hamza Kheddar, Yassine Himeur, Abdelkrim Boukabou, Ammar Chouchane, Abdelmalik Ouamane, Shadi Atalla, Wathiq Mansoor
Machine Learning and Vision Transformers for Thyroid Carcinoma Diagnosis: A review
null
null
null
null
cs.LG cs.AI eess.IV
http://creativecommons.org/licenses/by/4.0/
The growing interest in developing smart diagnostic systems to help medical experts process extensive data for treating incurable diseases has been notable. In particular, the challenge of identifying thyroid cancer (TC) has seen progress with the use of machine learning (ML) and big data analysis, incorporating tran...
[ { "created": "Sun, 17 Mar 2024 17:45:04 GMT", "version": "v1" } ]
2024-03-22
[ [ "Habchi", "Yassine", "" ], [ "Kheddar", "Hamza", "" ], [ "Himeur", "Yassine", "" ], [ "Boukabou", "Abdelkrim", "" ], [ "Chouchane", "Ammar", "" ], [ "Ouamane", "Abdelmalik", "" ], [ "Atalla", "Shadi", "" ...
The growing interest in developing smart diagnostic systems to help medical experts process extensive data for treating incurable diseases has been notable. In particular, the challenge of identifying thyroid cancer (TC) has seen progress with the use of machine learning (ML) and big data analysis, incorporating transf...
1210.1572
Hector Zenil
Hector Zenil
Turing Patterns with Turing Machines: Emergence and Low-level Structure Formation
27 pages, 14 figures. Forthcoming in Natural Computing
null
null
null
cs.CC nlin.CG nlin.PS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Despite having advanced a reaction-diffusion model of ODE's in his 1952 paper on morphogenesis, reflecting his interest in mathematical biology, Alan Turing has never been considered to have approached a definition of Cellular Automata. However, his treatment of morphogenesis, and in particular a difficulty he identi...
[ { "created": "Thu, 4 Oct 2012 19:51:48 GMT", "version": "v1" } ]
2012-10-08
[ [ "Zenil", "Hector", "" ] ]
Despite having advanced a reaction-diffusion model of ODE's in his 1952 paper on morphogenesis, reflecting his interest in mathematical biology, Alan Turing has never been considered to have approached a definition of Cellular Automata. However, his treatment of morphogenesis, and in particular a difficulty he identifi...
2212.14678
Princy Chahal
Princy Chahal
Exploring Transformer Backbones for Image Diffusion Models
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present an end-to-end Transformer based Latent Diffusion model for image synthesis. On the ImageNet class conditioned generation task we show that a Transformer based Latent Diffusion model achieves a 14.1FID which is comparable to the 13.1FID score of a UNet based architecture. In addition to showing the applicat...
[ { "created": "Tue, 27 Dec 2022 07:05:14 GMT", "version": "v1" } ]
2023-01-02
[ [ "Chahal", "Princy", "" ] ]
We present an end-to-end Transformer based Latent Diffusion model for image synthesis. On the ImageNet class conditioned generation task we show that a Transformer based Latent Diffusion model achieves a 14.1FID which is comparable to the 13.1FID score of a UNet based architecture. In addition to showing the applicatio...
1907.08610
Michael Zhang
Michael R. Zhang, James Lucas, Geoffrey Hinton, Jimmy Ba
Lookahead Optimizer: k steps forward, 1 step back
Accepted to Neural Information Processing Systems 2019. Code available at: https://github.com/michaelrzhang/lookahead
null
null
null
cs.LG cs.NE stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The vast majority of successful deep neural networks are trained using variants of stochastic gradient descent (SGD) algorithms. Recent attempts to improve SGD can be broadly categorized into two approaches: (1) adaptive learning rate schemes, such as AdaGrad and Adam, and (2) accelerated schemes, such as heavy-ball ...
[ { "created": "Fri, 19 Jul 2019 17:59:50 GMT", "version": "v1" }, { "created": "Tue, 3 Dec 2019 15:55:38 GMT", "version": "v2" } ]
2019-12-04
[ [ "Zhang", "Michael R.", "" ], [ "Lucas", "James", "" ], [ "Hinton", "Geoffrey", "" ], [ "Ba", "Jimmy", "" ] ]
The vast majority of successful deep neural networks are trained using variants of stochastic gradient descent (SGD) algorithms. Recent attempts to improve SGD can be broadly categorized into two approaches: (1) adaptive learning rate schemes, such as AdaGrad and Adam, and (2) accelerated schemes, such as heavy-ball an...
2004.14010
Laura Zabawa
Laura Zabawa, Anna Kicherer, Lasse Klingbeil, Reinhard T\"opfer, Heiner Kuhlmann, Ribana Roscher
Counting of Grapevine Berries in Images via Semantic Segmentation using Convolutional Neural Networks
null
Journal of Photogrammetry and Remote Sensing, vol. 164, pp.73-83,2020
10.1016/j.isprsjprs.2020.04.002
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The extraction of phenotypic traits is often very time and labour intensive. Especially the investigation in viticulture is restricted to an on-site analysis due to the perennial nature of grapevine. Traditionally skilled experts examine small samples and extrapolate the results to a whole plot. Thereby different gra...
[ { "created": "Wed, 29 Apr 2020 08:10:19 GMT", "version": "v1" } ]
2020-04-30
[ [ "Zabawa", "Laura", "" ], [ "Kicherer", "Anna", "" ], [ "Klingbeil", "Lasse", "" ], [ "Töpfer", "Reinhard", "" ], [ "Kuhlmann", "Heiner", "" ], [ "Roscher", "Ribana", "" ] ]
The extraction of phenotypic traits is often very time and labour intensive. Especially the investigation in viticulture is restricted to an on-site analysis due to the perennial nature of grapevine. Traditionally skilled experts examine small samples and extrapolate the results to a whole plot. Thereby different grape...
2311.01423
Jen-Hao Cheng
Jen-Hao Cheng, Sheng-Yao Kuan, Hugo Latapie, Gaowen Liu, Jenq-Neng Hwang
CenterRadarNet: Joint 3D Object Detection and Tracking Framework using 4D FMCW Radar
null
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Robust perception is a vital component for ensuring safe autonomous and assisted driving. Automotive radar (77 to 81 GHz), which offers weather-resilient sensing, provides a complementary capability to the vision- or LiDAR-based autonomous driving systems. Raw radio-frequency (RF) radar tensors contain rich spatiotem...
[ { "created": "Thu, 2 Nov 2023 17:36:40 GMT", "version": "v1" }, { "created": "Sat, 4 Nov 2023 21:30:42 GMT", "version": "v2" } ]
2023-11-07
[ [ "Cheng", "Jen-Hao", "" ], [ "Kuan", "Sheng-Yao", "" ], [ "Latapie", "Hugo", "" ], [ "Liu", "Gaowen", "" ], [ "Hwang", "Jenq-Neng", "" ] ]
Robust perception is a vital component for ensuring safe autonomous and assisted driving. Automotive radar (77 to 81 GHz), which offers weather-resilient sensing, provides a complementary capability to the vision- or LiDAR-based autonomous driving systems. Raw radio-frequency (RF) radar tensors contain rich spatiotempo...
1603.04726
Amir Kiperwas
Amir Kiperwas, Daniel Rosenfeld and Yonina C. Eldar
The SPURS Algorithm for Resampling an Irregularly Sampled Signal onto a Cartesian Grid
16 pages, 21 figures
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present an algorithm for resampling a function from its values on a non-Cartesian grid onto a Cartesian grid. This problem arises in many applications such as MRI, CT, radio astronomy and geophysics. Our algorithm, termed SParse Uniform ReSampling (SPURS), employs methods from modern sampling theory to achieve a s...
[ { "created": "Tue, 15 Mar 2016 15:49:27 GMT", "version": "v1" }, { "created": "Wed, 16 Mar 2016 12:13:01 GMT", "version": "v2" } ]
2016-03-17
[ [ "Kiperwas", "Amir", "" ], [ "Rosenfeld", "Daniel", "" ], [ "Eldar", "Yonina C.", "" ] ]
We present an algorithm for resampling a function from its values on a non-Cartesian grid onto a Cartesian grid. This problem arises in many applications such as MRI, CT, radio astronomy and geophysics. Our algorithm, termed SParse Uniform ReSampling (SPURS), employs methods from modern sampling theory to achieve a sma...
2212.09219
Mengying Chen
Mengying Chen, Wannian An, Yang Liu, Chen Dong, Xiaodong Xu, Boxiao Han, Ping Zhang
Modeling and Performance Analysis of Single-Server Database Over Quasi-static Rayleigh Fading Channel
null
null
null
null
cs.DB
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Cloud database is the key technology in cloud computing. The effective and efficient service quality of the cloud database is inseparable from communication technology, just as improving communication quality will reduce the concurrency phenomenon in the ticketing system. In order to visually observe the impact of co...
[ { "created": "Mon, 19 Dec 2022 02:44:03 GMT", "version": "v1" }, { "created": "Wed, 21 Dec 2022 03:39:41 GMT", "version": "v2" }, { "created": "Tue, 17 Jan 2023 09:07:16 GMT", "version": "v3" } ]
2023-01-18
[ [ "Chen", "Mengying", "" ], [ "An", "Wannian", "" ], [ "Liu", "Yang", "" ], [ "Dong", "Chen", "" ], [ "Xu", "Xiaodong", "" ], [ "Han", "Boxiao", "" ], [ "Zhang", "Ping", "" ] ]
Cloud database is the key technology in cloud computing. The effective and efficient service quality of the cloud database is inseparable from communication technology, just as improving communication quality will reduce the concurrency phenomenon in the ticketing system. In order to visually observe the impact of comm...
2306.12274
Enes Yigitbas
Enes Yigitbas, Alexander Nowosad, Gregor Engels
Supporting Construction and Architectural Visualization through BIM and AR/VR: A Systematic Literature Review
Preprint of accepted paper at INTERACT'23
null
null
null
cs.HC
http://creativecommons.org/licenses/by-sa/4.0/
The Architecture, Engineering, Construction, and Facility Management (AEC/FM) industry deals with the design, construction, and operation of complex buildings. Today, Building Information Modeling (BIM) is used to represent information about a building in a single, non-redundant representation. Here, Augmented Realit...
[ { "created": "Wed, 21 Jun 2023 13:52:37 GMT", "version": "v1" } ]
2023-06-22
[ [ "Yigitbas", "Enes", "" ], [ "Nowosad", "Alexander", "" ], [ "Engels", "Gregor", "" ] ]
The Architecture, Engineering, Construction, and Facility Management (AEC/FM) industry deals with the design, construction, and operation of complex buildings. Today, Building Information Modeling (BIM) is used to represent information about a building in a single, non-redundant representation. Here, Augmented Reality ...
2204.06450
Soroosh Tayebi Arasteh
Soroosh Tayebi Arasteh, Tobias Weise, Maria Schuster, Elmar Noeth, Andreas Maier, Seung Hee Yang
The effect of speech pathology on automatic speaker verification -- a large-scale study
Published in Scientific Reports
Sci Rep 13, 20476 (2023)
10.1038/s41598-023-47711-7
null
cs.SD cs.LG eess.AS
http://creativecommons.org/licenses/by/4.0/
Navigating the challenges of data-driven speech processing, one of the primary hurdles is accessing reliable pathological speech data. While public datasets appear to offer solutions, they come with inherent risks of potential unintended exposure of patient health information via re-identification attacks. Using a co...
[ { "created": "Wed, 13 Apr 2022 15:17:00 GMT", "version": "v1" }, { "created": "Fri, 2 Dec 2022 00:20:50 GMT", "version": "v2" }, { "created": "Wed, 22 Nov 2023 14:10:56 GMT", "version": "v3" } ]
2023-11-23
[ [ "Arasteh", "Soroosh Tayebi", "" ], [ "Weise", "Tobias", "" ], [ "Schuster", "Maria", "" ], [ "Noeth", "Elmar", "" ], [ "Maier", "Andreas", "" ], [ "Yang", "Seung Hee", "" ] ]
Navigating the challenges of data-driven speech processing, one of the primary hurdles is accessing reliable pathological speech data. While public datasets appear to offer solutions, they come with inherent risks of potential unintended exposure of patient health information via re-identification attacks. Using a comp...
2302.13825
Marco Favorito
Marco Favorito
Forward LTLf Synthesis: DPLL At Work
null
null
null
null
cs.LO cs.AI cs.FL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper proposes a new AND-OR graph search framework for synthesis of Linear Temporal Logic on finite traces (\LTLf), that overcomes some limitations of previous approaches. Within such framework, we devise a procedure inspired by the Davis-Putnam-Logemann-Loveland (DPLL) algorithm to generate the next available a...
[ { "created": "Mon, 27 Feb 2023 14:33:50 GMT", "version": "v1" }, { "created": "Mon, 19 Jun 2023 17:02:21 GMT", "version": "v2" } ]
2023-06-21
[ [ "Favorito", "Marco", "" ] ]
This paper proposes a new AND-OR graph search framework for synthesis of Linear Temporal Logic on finite traces (\LTLf), that overcomes some limitations of previous approaches. Within such framework, we devise a procedure inspired by the Davis-Putnam-Logemann-Loveland (DPLL) algorithm to generate the next available age...
2103.08368
Hongxiang Yu
Hongxiang Yu, Dashun Guo, Huan Yin, Anzhe Chen, Kechun Xu, Yue Wang and Rong Xiong
Neural Motion Prediction for In-flight Uneven Object Catching
null
null
null
null
cs.RO
http://creativecommons.org/licenses/by/4.0/
In-flight objects capture is extremely challenging. The robot is required to complete trajectory prediction, interception position calculation and motion planning in sequence within tens of milliseconds. As in-flight uneven objects are affected by various kinds of forces, motion prediction is difficult for a time-var...
[ { "created": "Mon, 15 Mar 2021 13:16:28 GMT", "version": "v1" } ]
2021-03-16
[ [ "Yu", "Hongxiang", "" ], [ "Guo", "Dashun", "" ], [ "Yin", "Huan", "" ], [ "Chen", "Anzhe", "" ], [ "Xu", "Kechun", "" ], [ "Wang", "Yue", "" ], [ "Xiong", "Rong", "" ] ]
In-flight objects capture is extremely challenging. The robot is required to complete trajectory prediction, interception position calculation and motion planning in sequence within tens of milliseconds. As in-flight uneven objects are affected by various kinds of forces, motion prediction is difficult for a time-varyi...
2004.01832
Avery Ma
Avery Ma, Fartash Faghri, Nicolas Papernot, Amir-massoud Farahmand
SOAR: Second-Order Adversarial Regularization
null
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Adversarial training is a common approach to improving the robustness of deep neural networks against adversarial examples. In this work, we propose a novel regularization approach as an alternative. To derive the regularizer, we formulate the adversarial robustness problem under the robust optimization framework and...
[ { "created": "Sat, 4 Apr 2020 01:35:07 GMT", "version": "v1" }, { "created": "Sun, 7 Feb 2021 22:52:49 GMT", "version": "v2" } ]
2021-02-09
[ [ "Ma", "Avery", "" ], [ "Faghri", "Fartash", "" ], [ "Papernot", "Nicolas", "" ], [ "Farahmand", "Amir-massoud", "" ] ]
Adversarial training is a common approach to improving the robustness of deep neural networks against adversarial examples. In this work, we propose a novel regularization approach as an alternative. To derive the regularizer, we formulate the adversarial robustness problem under the robust optimization framework and a...
2404.08691
Koffka Khan
Koffka Khan
Enhancing Adaptive Video Streaming through Fuzzy Logic-Based Content Recommendation Systems: A Comprehensive Review and Future Directions
7 pages
null
null
null
cs.IR
http://creativecommons.org/licenses/by/4.0/
As the demand for high-quality video content continues to rise, adaptive video streaming plays a pivotal role in delivering an optimal viewing experience. However, traditional content recommendation systems face challenges in dynamically adapting to users' preferences, content features, and contextual information. Th...
[ { "created": "Wed, 10 Apr 2024 02:58:54 GMT", "version": "v1" } ]
2024-04-16
[ [ "Khan", "Koffka", "" ] ]
As the demand for high-quality video content continues to rise, adaptive video streaming plays a pivotal role in delivering an optimal viewing experience. However, traditional content recommendation systems face challenges in dynamically adapting to users' preferences, content features, and contextual information. This...
2407.06720
Moritz Schubotz
David Carliste, Paul Libbrecht, Moritz Schubotz, Neil Soiffer
Author Intent: Eliminating Ambiguity in MathML
This preprint has not undergone peer review or any post-submission improvements or corrections. The Version of Record of this contribution is published in Int. Conf. on Computers Helping People with Special Needs will be available online at TBD
null
null
null
cs.DL cs.HC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
MathML has been successful in improving the accessibility of mathematical notation on the web. All major screen readers support MathML to generate speech, allow navigation of the math, and generate braille. A troublesome area remains: handling ambiguous notations such as \( \vert x\vert\). While it is possible to spe...
[ { "created": "Tue, 9 Jul 2024 09:50:16 GMT", "version": "v1" } ]
2024-07-10
[ [ "Carliste", "David", "" ], [ "Libbrecht", "Paul", "" ], [ "Schubotz", "Moritz", "" ], [ "Soiffer", "Neil", "" ] ]
MathML has been successful in improving the accessibility of mathematical notation on the web. All major screen readers support MathML to generate speech, allow navigation of the math, and generate braille. A troublesome area remains: handling ambiguous notations such as \( \vert x\vert\). While it is possible to speak...
2212.11140
Hammond Pearce
Shailja Thakur, Baleegh Ahmad, Zhenxing Fan, Hammond Pearce, Benjamin Tan, Ramesh Karri, Brendan Dolan-Gavitt, Siddharth Garg
Benchmarking Large Language Models for Automated Verilog RTL Code Generation
Accepted in DATE 2023. 7 pages, 4 tables, 7 figures
null
null
null
cs.PL cs.LG cs.SE
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Automating hardware design could obviate a significant amount of human error from the engineering process and lead to fewer errors. Verilog is a popular hardware description language to model and design digital systems, thus generating Verilog code is a critical first step. Emerging large language models (LLMs) are a...
[ { "created": "Tue, 13 Dec 2022 16:34:39 GMT", "version": "v1" } ]
2022-12-22
[ [ "Thakur", "Shailja", "" ], [ "Ahmad", "Baleegh", "" ], [ "Fan", "Zhenxing", "" ], [ "Pearce", "Hammond", "" ], [ "Tan", "Benjamin", "" ], [ "Karri", "Ramesh", "" ], [ "Dolan-Gavitt", "Brendan", "" ], [ ...
Automating hardware design could obviate a significant amount of human error from the engineering process and lead to fewer errors. Verilog is a popular hardware description language to model and design digital systems, thus generating Verilog code is a critical first step. Emerging large language models (LLMs) are abl...
2101.06968
Javier Fumanal-Idocin Mr.
Javier Fumanal-Idocin, Yu-Kai Wang, Chin-Teng Lin, Javier Fern\'andez, Jose Antonio Sanz, Humberto Bustince
Motor-Imagery-Based Brain Computer Interface using Signal Derivation and Aggregation Functions
IEEE Transactions on Cybernetics (2021)
null
10.1109/TCYB.2021.3073210
null
cs.HC cs.AI cs.SY eess.SY
http://creativecommons.org/licenses/by/4.0/
Brain Computer Interface technologies are popular methods of communication between the human brain and external devices. One of the most popular approaches to BCI is Motor Imagery. In BCI applications, the ElectroEncephaloGraphy is a very popular measurement for brain dynamics because of its non-invasive nature. Alth...
[ { "created": "Mon, 18 Jan 2021 10:14:01 GMT", "version": "v1" }, { "created": "Wed, 2 Jun 2021 08:41:37 GMT", "version": "v2" } ]
2021-06-03
[ [ "Fumanal-Idocin", "Javier", "" ], [ "Wang", "Yu-Kai", "" ], [ "Lin", "Chin-Teng", "" ], [ "Fernández", "Javier", "" ], [ "Sanz", "Jose Antonio", "" ], [ "Bustince", "Humberto", "" ] ]
Brain Computer Interface technologies are popular methods of communication between the human brain and external devices. One of the most popular approaches to BCI is Motor Imagery. In BCI applications, the ElectroEncephaloGraphy is a very popular measurement for brain dynamics because of its non-invasive nature. Althou...
2401.14420
Md Arif Hassan
Md Arif Hassan, Cong T. Nguyen, Chi-Hieu Nguyen, Dinh Thai Hoang, Diep N. Nguyen and Eryk Dutkiewicz
A Novel Blockchain Based Information Management Framework for Web 3.0
null
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Web 3.0 is the third generation of the World Wide Web (WWW), concentrating on the critical concepts of decentralization, availability, and increasing client usability. Although Web 3.0 is undoubtedly an essential component of the future Internet, it currently faces critical challenges, including decentralized data co...
[ { "created": "Tue, 23 Jan 2024 12:34:02 GMT", "version": "v1" } ]
2024-01-29
[ [ "Hassan", "Md Arif", "" ], [ "Nguyen", "Cong T.", "" ], [ "Nguyen", "Chi-Hieu", "" ], [ "Hoang", "Dinh Thai", "" ], [ "Nguyen", "Diep N.", "" ], [ "Dutkiewicz", "Eryk", "" ] ]
Web 3.0 is the third generation of the World Wide Web (WWW), concentrating on the critical concepts of decentralization, availability, and increasing client usability. Although Web 3.0 is undoubtedly an essential component of the future Internet, it currently faces critical challenges, including decentralized data coll...