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检索条件"机构=Pattern Recognition and Intelligent System"
326 条 记 录,以下是61-70 订阅
排序:
Function Projective Lag Synchronization of Chaotic systems with Certain Parameters via Adaptive-impulsive Control
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International Journal of Automation and computing 2019年 第2期16卷 238-247页
作者: Xiu-Li Chai Zhi-Hua Gan Institute of Image Processing and Pattern Recognition Henan University Institute of Intelligent Network System School of SoftwareHenan University
A new method is presented to study the function projective lag synchronization(FPLS) of chaotic systems via adaptive-impulsive control. To achieve synchronization, suitable nonlinear adaptive-impulsive controllers are... 详细信息
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MRP-Net: A Light Multiple Region Perception Neural Network for Multi-label AU Detection
MRP-Net: A Light Multiple Region Perception Neural Network f...
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International Conference on pattern recognition
作者: Yang Tang Shuang Chen Honggang Zhang Gang Wang Rui Yang Pattern Recognition and Intelligent System Lab. Beijing University of Posts and Telecommunications Beijing Anding Hospital Capital Medical University
Facial Action Units (AUs) are of great significance in communication. Automatic AU detection can improve the understanding of psychological condition and emotional status. Recently, a number of deep learning methods h... 详细信息
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IEEE T-BIOM Editorial Board Changes
IEEE Transactions on Biometrics, Behavior, and Identity Scie...
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IEEE Transactions on Biometrics, Behavior, and Identity Science 2024年 第1期7卷 1-2页
作者: Naser Damer Weihong Deng Jianjiang Feng Vishal M. Patel Ajita Rattani Mark Nixon Smart Living & Biometric Technologies Fraunhofer Institute for Computer Graphics Research IGD Darmstadt Germany Pattern Recognition and Intelligent System Laboratory Beijing University of Posts and Telecommunications Beijing China Department of Automation Tsinghua University Beijing China Department of Electrical and Computer Engineering Johns Hopkins University Baltimore MD USA Department of Computer Science and Engineering College of Engineering University of North Texas Denton TX USA
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Progressive co-attention network for fine-grained visual classification
arXiv
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arXiv 2021年
作者: Zhang, Tian Chang, Dongliang Ma, Zhanyu Guo, Jun Pattern Recognition and Intelligent System Lab Beijing University of Posts and Telecommunications Beijing China Beijing Academy of Artificial Intelligence Beijing China
Fine-grained visual classification aims to recognize images belonging to multiple sub-categories within a same category. It is a challenging task due to the inherently subtle variations among highly-confused categorie... 详细信息
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Caption Feature Space Regularization for Audio Captioning
arXiv
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arXiv 2022年
作者: Zhang, Yiming Yu, Hong Du, Ruoyi Ma, Zhanyu Dong, Yuan The Pattern Recognition and Intelligent System Laboratory School of Artificial Intelligence Beijing University of Posts and Telecommunications Beijing100876 China Department of Artificial Intelligence School of Information and Electrical Engineering Ludong University Shandong Yantai264025 China
Audio captioning aims at describing the content of audio clips with human language. Due to the ambiguity of audio, different people may perceive the same audio differently, resulting in caption disparities (i.e., one ... 详细信息
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Fine-Grained Visual Classification via Progressive Multi-granularity Training of Jigsaw Patches  1
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16th European Conference on Computer Vision, ECCV 2020
作者: Du, Ruoyi Chang, Dongliang Bhunia, Ayan Kumar Xie, Jiyang Ma, Zhanyu Song, Yi-Zhe Guo, Jun Pattern Recognition and Intelligent System Laboratory School of Artificial Intelligence Beijing University of Posts and Telecommunications Beijing China SketchX CVSSP University of Surrey Guildford United Kingdom
Fine-grained visual classification (FGVC) is much more challenging than traditional classification tasks due to the inherently subtle intra-class object variations. Recent works are mainly part-driven (either explicit... 详细信息
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Progressive Co-Attention Network for Fine-Grained Visual Classification
Progressive Co-Attention Network for Fine-Grained Visual Cla...
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IEEE Visual Communications and Image Processing (VCIP)
作者: Tian Zhang Dongliang Chang Zhanyu Ma Jun Guo Pattern Recognition and Intelligent System Lab. Beijing University of Posts and Telecommunications Beijing China Beijing Academy of Artificial Intelligence Beijing China
Fine-grained visual classification aims to recognize images belonging to multiple sub-categories within a same category. It is a challenging task due to the inherently subtle variations among highly-confused categorie... 详细信息
来源: 评论
Meta Balanced Network for Fair Face recognition
arXiv
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arXiv 2022年
作者: Wang, Mei Zhang, Yaobin Deng, Weihong The Pattern Recognition and Intelligent System Lab. School of Artificial Intelligence Beijing University of Posts and Telecommunications Beijing China Key Lab. of Trustworthy Distributed Computing and Service Ministry of Education Beijing University of Posts and Telecommunications Beijing China
Although deep face recognition has achieved impressive progress in recent years, controversy has arisen regarding discrimination based on skin tone, questioning their deployment into real-world scenarios. In this pape... 详细信息
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Vehicle Routing Problem with Time Windows using Hybrid Metaheuristic Dragonfly Algorithm and Variable Neighborhood Search: Work on Progress
Vehicle Routing Problem with Time Windows using Hybrid Metah...
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International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)
作者: Yunita Yunita Deris Stiawan Dian Palupi Rini Doctoral Student at Faculty of Computer Science Sriwijaya University Intelligent System Research Group Faculty of Computer Science Sriwijaya University Palembang South Sumatera Communication Network and Information Security Research Group Faculty of Computer Science Sriwijaya University Palembang South Sumatera Image Processing dan Pattern Recognition Laboratory Group Faculty of Computer Science Sriwijaya University Palembang South Sumatera
One of the problems with Smart Transportation is the problem of cost and travel time. This problem is known as the Variable Routing Problem (VRP). In some real cases, in addition to considering route selection, there ... 详细信息
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Feature Decoupled of Deep Mutual Information Maximization
Feature Decoupled of Deep Mutual Information Maximization
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Automation, Robotics and Computer Engineering (ICARCE), International Conference on
作者: Xing He Changgen Peng Lin Wang Weijie Tan Zifan Wang State Key Laboratory of Public Big Data College of Computer Science and Technology Guizhou University Guiyang China Guizhou Big Data Academy Guizhou University Guiyang China Guizhou Key Laboratory of Pattern Recognition and Intelligent System Guizhou Minzu University Guiyang China Institute of Guizhou Aerospace Measuring and Testing Technology Guiyang China
In deep learning, supervised learning techniques usually require a large amount of expensive labeled data to train the network, and the feature representations extracted by the model usually mix multiple attributes, r...
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