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检索条件"主题词=Local coordinate coding"
17 条 记 录,以下是1-10 订阅
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Improving Generative Adversarial Networks With local coordinate coding
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IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 2022年 第1期44卷 211-227页
作者: Cao, Jiezhang Guo, Yong Wu, Qingyao Shen, Chunhua Huang, Junzhou Tan, Mingkui South China Univ Technol Sch Software Engn Guangzhou 510640 Guangdong Peoples R China Pazhou Lab Guangzhou 510335 Peoples R China Univ Adelaide Adelaide SA 5005 Australia Tencent AI Lab Shenzhen 518000 Peoples R China Univ Texas Arlington Dept Comp Sci & Engn Arlington TX 76019 USA
Generative adversarial networks (GANs) have shown remarkable success in generating realistic data from some predefined prior distribution (e.g., Gaussian noises). However, such prior distribution is often independent ... 详细信息
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Online dictionary learning for local coordinate coding with locality coding Adaptors
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NEUROCOMPUTING 2015年 157卷 61-69页
作者: Pang, Junbiao Zhang, Chunjie Qin, Lei Zhang, Weigang Qing, Laiyun Huang, Qingming Yin, Baocai Beijing Univ Technol Coll Metropolitan Transportat Beijing Key Lab Multimedia & Intelligent Software Beijing 100124 Peoples R China Univ Chinese Acad Sci Sch Comp & Control Engn Beijing 100049 Peoples R China Chinese Acad Sci Inst Comp Technol Key Lab Intelligent Informat Proc Beijing 100190 Peoples R China Harbin Inst Technol Sch Comp Sci & Technol Weihai 26209 Peoples R China
Dictionary in local coordinate coding (LCC) is important to approximate a non-linear function with linear ones. Optimizing dictionary from predefined coding schemes is a challenge task. This paper focuses on learning ... 详细信息
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Two-Layers local coordinate coding  1
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1st Chinese Conference on Computer Vision (CCCV)
作者: Xiao, Wei Liu, Hong Tang, Hao Liu, Huaping Peking Univ Engn Lab Intelligent Percept Internet Things ELIP Key Lab Machine Percept Shenzhen Grad Sch Beijing 100871 Peoples R China Tsinghua Univ State Key Lab Intelligent Technol & Syst Dept Comp Sci & Technol Beijing 100084 Peoples R China
Extracting informative regularized representations of input signals plays a key role in the field of artificial intelligence, such as machine learning and robotics. Traditional approaches feature l(2) norm and sparse ... 详细信息
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Robust 3D Face Landmark localization Based on local coordinate coding
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IEEE TRANSACTIONS ON IMAGE PROCESSING 2014年 第12期23卷 5108-5122页
作者: Song, Mingli Tao, Dacheng Sun, Shengpeng Chen, Chun Maybank, Stephen J. Zhejiang Univ Coll Comp Sci Hangzhou 310027 Peoples R China Univ Technol Sydney Fac Engn & Informat Technol Ctr Quantum Computat & Intelligent Syst Sydney NSW 2007 Australia Univ London Birkbeck Coll Dept Comp Sci & Informat Syst London WC1E 7HU England
In the 3D facial animation and synthesis community, input faces are usually required to be labeled by a set of landmarks for parameterization. Because of the variations in pose, expression and resolution, automatic 3D... 详细信息
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Encoding human activities using multimodal wearable sensory data
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EXPERT SYSTEMS WITH APPLICATIONS 2024年 261卷
作者: Khan, Muhammad Hassan Shafiq, Hadia Farid, Muhammad Shahid Grzegorzek, Marcin Univ Punjab Dept Comp Sci Lahore Pakistan Univ Lubeck Inst Med Informat Lubeck Germany
Human Activity Recognition (HAR) is the task to automatically analyze and recognize human body gestures or actions. HAR using time-series multi-modal sensory data is a challenging and important task in the field of ma... 详细信息
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Joint non-negative and fuzzy coding with graph regularization for efficient data clustering
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EGYPTIAN INFORMATICS JOURNAL 2021年 第1期22卷 91-100页
作者: Peng, Yong Zhang, Yikai Qin, Feiwei Kong, Wanzeng Hangzhou Dianzi Univ Sch Comp Sci & Technol Hangzhou 310018 Peoples R China Soochow Univ Prov Key Lab Comp Informat Proc Technol Suzhou 215123 Peoples R China Key Lab Brain Machine Collaborat Intelligence Zhe Hangzhou 310018 Peoples R China
Non-negative matrix factorization (NMF) is an effective model in converting data into non-negative coefficient representation whose discriminative ability is usually enhanced to be used for diverse pattern recognition... 详细信息
来源: 评论
Graph-Regularized local coordinate Concept Factorization for Image Representation
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NEURAL PROCESSING LETTERS 2017年 第2期46卷 427-449页
作者: Ye, Jun Jin, Zhong Nanjing Univ Posts & Telecommun Sch Nat Sci Nanjing 210003 Jiangsu Peoples R China Nanjing Univ Sci & Technol Sch Comp Sci & Technol Nanjing 210094 Jiangsu Peoples R China
Existing matrix factorization based techniques, such as nonnegative matrix factorization and concept factorization, have been widely applied for data representation. In order to make the obtained concepts to be as clo... 详细信息
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Traffic Sign Recognition with Transfer Learning
Traffic Sign Recognition with Transfer Learning
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IEEE Symposium Series on Computational Intelligence (IEEE SSCI)
作者: Peng, Xishuai Li, Yuanxiang Wei, Xian Luo, Jianhua Murphey, Yi Lu Shanghai Jiao Tong Univ Sch Aeronaut & Astronaut Shanghai 200240 Peoples R China Univ Michigan Dept Elect & Comp Engn Dearborn MI 48128 USA
Traffic signs are characterized by a wide variability in their visual appearance in real-world environments. Supervised algorithms have achieved superior results on German Traffic Sign Recognition Bench-mark (GTSRB) d... 详细信息
来源: 评论
Generalized Pooling for Robust Object Tracking
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IEEE TRANSACTIONS ON IMAGE PROCESSING 2016年 第9期25卷 4199-4208页
作者: Ma, Bo Hu, Hongwei Shen, Jianbing Liu, Yangbiao Shao, Ling Beijing Inst Technol Sch Comp Sci & Technol Beijing Lab Intelligent Informat Technol Beijing 100081 Peoples R China Northumbria Univ Dept Comp Sci & Digital Technol Newcastle Upon Tyne NE1 8ST Tyne & Wear England
Feature pooling in a majority of sparse coding-based tracking algorithms computes final feature vectors only by low-order statistics or extreme responses of sparse codes. The high-order statistics and the correlations... 详细信息
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Traffic Sign Recognition with Transfer Learning
Traffic Sign Recognition with Transfer Learning
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IEEE Symposium Series on Computational Intelligence
作者: Xishuai Peng Yuanxiang Li Xian Wei Jianhua Luo Yi Lu Murphey School of Aeronautics and Astronautics Shanghai Jiao Tong University Shanghai China University of Michigan Dearborn Dearborn MI US
Traffic signs are characterized by a wide variability in their visual appearance in real-world environments. Supervised algorithms have achieved superior results on German Traffic Sign Recognition Bench-mark (GTSRB) d... 详细信息
来源: 评论