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检索条件"机构=Computer Vision and Pattern Recognition Lab."
297 条 记 录,以下是191-200 订阅
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Multi-Gradient Directional Features for Gender Identification
Multi-Gradient Directional Features for Gender Identificatio...
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International Conference on pattern recognition
作者: B.J. Navya G. C. Swetha Palaiahnakote Shivakumara Sangheeta Roy D. S. Guru Umapada Pal Tong Lu Department of Studies in Computer Science University of Mysore Karnataka India Faculty of Computer System and Information Technology University of Malaya Kuala Lumpur Malaysia Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata India National Key Lab for Novel Software Technology Nanjing University Nanjing China
Gender identification based on handwriting analysis has received a special attention to researchers in the field of document image analysis as it is useful for several real-time applications like forensic, population ... 详细信息
来源: 评论
A New RGB Based Fusion for Forged IMEI Number Detection in Mobile Images
A New RGB Based Fusion for Forged IMEI Number Detection in M...
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International Workshop on Frontiers in Handwriting recognition
作者: Palaiahnakote Shivakumara V. Basavaraja Harsha S. Gowda D. S. Guru Umapada Pal Tong Lu Faculty of Computer System and Information Technology University of Malaya Kuala Lumpur Malaysia Department of Studies in Computer Science University of Mysore Mysore Karnataka India Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata India National Key Lab for Novel Software Technology Nanjing University Nanjing China
As technology advances to make living comfortable for people, at the same time, different crimes also increase. One such sensitive crime is creating fake International Mobile Equipment Identity (IMEI) for smart mobile... 详细信息
来源: 评论
A new cold feature based handwriting analysis for enthnicity/nationality identification
arXiv
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arXiv 2018年
作者: Nag, Sauradip Shivakumara, Palaiahnakote Yirui, Wu Pal, Umapada Lu, Tong Kalyani Government Engineering College Kalyani Kolkata India Faculty of Computer Science and Information Technology University of Malaya Kuala Lumpur Malaysia College of Computer and Information Hohai University Nanjing China Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata India National Key Lab for Novel Software Technology Nanjing University Nanjing China
Identifying crime for forensic investigating teams when crimes involve people of different nationals is challenging. This paper proposes a new method for ethnicity (nationality) identification based on Cloud of Line D... 详细信息
来源: 评论
ChaLearn looking at people: IsoGD and ConGD large-scale RGB-D gesture recognition
arXiv
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arXiv 2019年
作者: Wan, Jun Lin, Chi Wen, Longyin Li, Yunan Miao, Qiguang Escalera, Sergio Anbarjafari, Gholamreza Guyon, Isabelle Guo, Guodong Li, Stan Z. National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences Beijing100190 China JD Finance Mountain ViewCA United States University of Southern California Los AngelesCA90089-0911 United States School of Computer Science and Technology Xidian University & Xi'an Key Laboratory of Big Data and Intelligent Vision 2nd South Taibai Road Xi'an710071 China Universitat de Barcelona Computer Vision Center Spain iCV Lab Institute of Technology University of Tartu Estonia Faculty of Engineering Hasan Kalyoncu University Gaziantep Turkey Institute of Digital Technologies Loughborough University London United Kingdom ChaLearn United States University Paris-Saclay France institute of Deep Learning Baidu Research National Engineering Laboratory for Deep Learning Technology and Application China
The ChaLearn large-scale gesture recognition challenge has been run twice in two workshops in conjunction with the International Conference on pattern recognition (ICPR) 2016 and International Conference on computer V... 详细信息
来源: 评论
New COLD Feature Based Handwriting Analysis for Enthnicity/Nationality Identification
New COLD Feature Based Handwriting Analysis for Enthnicity/N...
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International Workshop on Frontiers in Handwriting recognition
作者: Sauradip Nag Palaiahnakote Shivakumara Yirui Wu Umapada Pal Tong Lu Kalyani Government Engineering College Kalyani Kolkata India Faculty of Computer Science and Information Technology University of Malaya Kuala Lumpur Malaysia College of Computer and Information Hohai University Nanjing China Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata India National Key Lab for Novel Software Technology Nanjing University Nanjing China
Identifying crime for forensic investigating teams when crimes involve people of different nationals is challenging. This paper proposes a new method for ethnicity (nationality) identification based on Cloud of Line D... 详细信息
来源: 评论
BALSON: BAYESIAN LEAST SQUARES OPTIMIZATION WITH NONNEGATIVE L1-NORM CONSTRAINT
BALSON: BAYESIAN LEAST SQUARES OPTIMIZATION WITH NONNEGATIVE...
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IEEE Workshop on Machine Learning for Signal Processing
作者: Jiyang Xie Zhanyu Ma Guoqiang Zhang Jing-Hao Xue Jen-Tzung Chien Zhiqing Lin Jun Guo Pattern Recognition and Intelligent Systems Lab. Beijing University of Posts and Telecommunications China School of Computing and Communications University of Technology Sydney Australia Department of Statistical Science University College London United Kingdom Department of Electrical and Computer Engineering National Chiao Tung University Taiwan
A Bayesian approach termed the BAyesian Least Squares Optimization with Nonnegative L 1 -norm constraint (BALSON) is proposed. The error distribution of data fitting is described by Gaussian likelihood. The parameter ... 详细信息
来源: 评论
Author Correction: Development and clinical deployment of a smartphone-based visual field deep learning system for glaucoma detection
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NPJ digital medicine 2022年 第1期5卷 38页
作者: Fei Li Diping Song Han Chen Jian Xiong Xingyi Li Hua Zhong Guangxian Tang Sujie Fan Dennis S C Lam Weihua Pan Yajuan Zheng Ying Li Guoxiang Qu Junjun He Zhe Wang Ling Jin Rouxi Zhou Yunhe Song Yi Sun Weijing Cheng Chunman Yang Yazhi Fan Yingjie Li Hengli Zhang Ye Yuan Yang Xu Yunfan Xiong Lingfei Jin Aiguo Lv Lingzhi Niu Yuhong Liu Shaoli Li Jiani Zhang Linda M Zangwill Alejandro F Frangi Tin Aung Ching-Yu Cheng Yu Qiao Xiulan Zhang Daniel S W Ting State Key Laboratory of Ophthalmology Zhongshan Ophthalmic Center Sun Yat-Sen University Guangzhou People's Republic of China. ShenZhen Key Lab of Computer Vision and Pattern Recognition Shenzhen Institutes of Advanced Technology The Chinese Academy of Sciences Shenzhen People's Republic of China. University of Chinese Academy of Sciences Beijing People's Republic of China. Department of Ophthalmology The First Affiliated Hospital of Kunming Medical University Kunming People's Republic of China. The First Hospital of Shijiazhuang City Shijiazhuang People's Republic of China. gxtykyy@***. Handan City Eye Hospital Handan People's Republic of China. C-MER (Shenzhen) Dennis Lam Eye Hospital International Eye Research Institute of The Chinese University of Hong Kong (Shenzhen) Shenzhen People's Republic of China. The Eye Hospital WMU at Hangzhou Hangzhou People's Republic of China. Department of Ophthalmology The Second Hospital of Jilin University Changchun People's Republic of China. SenseTime Group Limited Hong Kong People's Republic of China. Department of Ophthalmology The Second Affiliated Hospital of Guizhou Medical University Kaili People's Republic of China. Department of Ophthalmology The Second Affiliated Hospital of Xi'an Jiaotong University Xi'an People's Republic of China. Department of Ophthalmology The Third Affiliated Hospital of Nanchang University Nanchang People's Republic of China. The First Hospital of Shijiazhuang City Shijiazhuang People's Republic of China. Hamilton Glaucoma Center Shiley Eye Institute Viterbi Family Department of Ophthalmology UC San Diego La Jolla CA United States. CISTIB Center for Computational Imaging and Simulation Technologies in Biomedicine Schools of Computing and Medicine University of Leeds Leeds UK. Singapore Eye Research Institute and Singapore National Eye Centre Singapore Singapore. ShenZhen Key Lab of Computer Vision and Pattern Recognition Shenzhen Institutes of Advanced Technology The Chinese Academy of Sci
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Unsupervised Feature Learning for Writer Identification and Writer Retrieval
arXiv
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arXiv 2017年
作者: Christlein, Vincent Gropp, Martin Fiel, Stefan Maier, Andreas Pattern Recognition Lab Friedrich-Alexander-Universität Erlangen-Nürnberg Erlangen91058 Germany Computer Vision Lab TU Wien Vienna1040 Austria
Deep Convolutional Neural Networks (CNN) have shown great success in supervised classification tasks such as character classification or dating. Deep learning methods typically need a lot of annotated training data, w... 详细信息
来源: 评论
Ui-net: Interactive artificial neural networks for iterative image segmentation based on a user model
arXiv
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arXiv 2017年
作者: Amrehn, Mario Gaube, Sven Unberath, Mathias Schebesch, Frank Horz, Tim Strumia, Maddalena Steidl, Stefan Kowarschik, Markus Maier, Andreas Pattern Recognition Lab. Computer Science Department Friedrich-Alexander University Erlangen-Nuremberg Germany Erlangen Germany Siemens Healthcare GmbH Forchheim Germany
For complex segmentation tasks, fully automatic systems are inherently limited in their achievable accuracy for extracting relevant objects. Especially in cases where only few data sets need to be processed for a high... 详细信息
来源: 评论
CROSS-MODAL SUBSPACE LEARNING FOR SKETCH-BASED IMAGE RETRIEVAL:A COMPARATIVE STUDY  5
CROSS-MODAL SUBSPACE LEARNING FOR SKETCH-BASED IMAGE RETRIEV...
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2016 5th IEEE International Conference on Network Infrastructure and Digital Content(IC-NIDC 2016)
作者: Peng Xu Ke Li Zhanyu Ma Yi-Zhe Song Liang Wang Jun Guo Pattern Recognition and Intelligent System Lab. Beijing University of Posts and Telecommunications SketchX Lab School of Electronic Engineering and Computer ScienceQueen Mary University of London National Lab of Pattern Recognition Institute of AutomationChinese Academy of Sciences
Sketch-based image retrieval(SBIR)has become a prominent research topic in recent years due to the proliferation of touch *** problem is however very challenging for that photos and sketches are inherently modeled i... 详细信息
来源: 评论