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检索条件"机构=Key Laboratory of Pattern Recognition and Intelligent System"
555 条 记 录,以下是301-310 订阅
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Detection Level of Apple Based on BP Neural Network
Detection Level of Apple Based on BP Neural Network
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International Conference on Information Sciences,Machinery,Materials and Energy(ICISMME 2015)
作者: Xiaoling LI Jimin YUAN School of Computer Science and Technology Chengdu University University Key Laboratory of Pattern Recognition and Intelligent information Processing The Department Computer Engineering Chengdu Aeronautic Vocational and Technical College
In view of the draw backs of apple grade identification in China,which still relies on photoelectric sorting and manual separation,this paper presents a processing method on the basis of the technology of computer vis... 详细信息
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Matrix Factorization Based Models Considering Item Categories and User Neighbors
Matrix Factorization Based Models Considering Item Categorie...
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International Symposium on Computational Intelligence and Design
作者: Lin Zhao Bo Xiao Pattern Recognition and Intelligent System Laboratory Beijing University of Posts and Telecommunications Beijing China
Matrix factorization is a popular collaborative filtering method for recommendation techniques with predictive accuracy and good scalability. In this paper, we propose two models on the basis of basic matrix factoriza... 详细信息
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Corrigendum to ‘Modeling the packing coloring problem of graphs’ [Appl. Math. Model. 39 (2015) 3588–3595]
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Applied Mathematical Modelling 2016年 第2期40卷 1683-1683页
作者: Zehui Shao Aleksander Vesel School of Information Science and Technology Chengdu University Chengdu 610106 China Key Laboratory of Pattern Recognition and Intelligent Information Processing Institutions of Higher Education of Sichuan Province China Faculty of Natural Sciences and Mathematics University of Maribor Maribor Slovenia
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Shape driven kernel adaptation in Convolutional Neural Network for robust facial trait recognition
Shape driven kernel adaptation in Convolutional Neural Netwo...
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Conference on Computer Vision and pattern recognition (CVPR)
作者: Shaoxin Li Junliang Xing Zhiheng Niu Shiguang Shan Shuicheng Yan Department of Electrical and Computer Engineering National University of Singapore Singapore Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS) Institute of Computing Technology CAS Beijing China National Laboratory of Pattern Recognition Institute of Automation CAS Beijing China
One key challenge of facial trait recognition is the large non-rigid appearance variations due to some irrelevant real world factors, such as viewpoint and expression changes. In this paper, we explore how the shape i... 详细信息
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Object classification via PCANet and color constancy model  4
Object classification via PCANet and color constancy model
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4th International Conference on Advanced Design and Manufacturing Engineering, ADME 2014
作者: Hu, De Kun Zhang, L. Zhao, Wei Dong Yan, Tao Key Laboratory of Pattern Recognition and Intelligent Information Processing Institutions of Higher Education of Sichuan Province Chengdu University Chengdu China
In order to classify the objects in nature images, a model with color constancy and principle component analysis network (PCANet) is proposed. The new color constancy model imitates the functional properties of the HV... 详细信息
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recognition of facial expression via kernel PCA network  3
Recognition of facial expression via kernel PCA network
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3rd International Conference on Information Technology and Management Innovation, ICITMI 2014
作者: Hu, De Kun Ye, An Sheng Li, Li Zhang, Li Key Laboratory of Pattern Recognition and Intelligent Information Processing Institutions of Higher Education of Sichuan Province Chengdu University Chengdu China
In this work, a kernel principle component analysis network (KPCANet) is proposed for classification of the facial expression in unconstrained images, which comprises only the very basic data processing components: ca... 详细信息
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A Novel Ordinal Regression Method with Minimum Class Variance Support Vector Machine
A Novel Ordinal Regression Method with Minimum Class Varianc...
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2015 International Conference on Materials Engineering and Information Technology Applications(MEITA 2015)
作者: Jinrong Hu Xiaoming Wang Zengxi Huang School of Computer and Soft Engineering Xihua University Key Laboratory of Pattern Recognition and Intelligent Information Processing Chengdu University
In the paper, we propose a novel ordinal regression method called minimum class variance support vector ordinal regression(MCVSVOR). MCVSVOR is derived from minimum class variance support vector machine(MCVSVM) which ... 详细信息
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A Robust CPD Approach Based on Shape Context  33
A Robust CPD Approach Based on Shape Context
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第三十三届中国控制会议
作者: YANG Yawen ZHANG Peng Peng QIAO Yu YANG Jie WANG Sheng Zheng The Key Laboratory of Ministry of Education for System Control and Information Processing Institute of Image Processing and Pattern RecognitionShanghai Jiao Tong University Merchant Marine College Shanghai Maritime University
Point matching is an important component of image *** years,Coherent Point Drift(CPD) method becomes a very popular point matching *** treats point matching as a probability estimation problem and speeds up the proces... 详细信息
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pattern matching with flexible wildcard gaps
Pattern matching with flexible wildcard gaps
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5th International Symposium on IT in Medicine and Education, ITME 2013
作者: Junyan, Zhang Chenhui, Yang Information Science and Technology College Chengdu University Chengdu China Key Laboratory of Pattern Recognition and Intelligent Information Processing of Sichuan Chengdu University Chengdu China
pattern matching is a fundamental application in biomedicine and biological sequence analysis. A wildcard can match any one character in a sequence. Multiple wildcards form a gap. A flexible wildcard gap can match any... 详细信息
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A bottom-up kernel of pattern learning for relation extraction
A bottom-up kernel of pattern learning for relation extracti...
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International Symposium on Chinese Spoken Language Processing
作者: Chunyun Zhang Weiran Xu Sheng Gao Jun Guo Pattern Recognition and Intelligent System Laboratory Beijing University of Posts and Telecommunications
Measuring the similarity of patterns is the key in pattern-based approaches in relation extraction. Most existing methods generally rely on inflexible pattern similarity measurements which often lead to low recall. In... 详细信息
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