咨询与建议

限定检索结果

文献类型

  • 581 篇 会议
  • 263 篇 期刊文献

馆藏范围

  • 844 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 567 篇 工学
    • 357 篇 计算机科学与技术...
    • 315 篇 软件工程
    • 145 篇 信息与通信工程
    • 104 篇 光学工程
    • 85 篇 控制科学与工程
    • 71 篇 生物工程
    • 57 篇 生物医学工程(可授...
    • 56 篇 电子科学与技术(可...
    • 52 篇 机械工程
    • 44 篇 电气工程
    • 38 篇 化学工程与技术
    • 29 篇 仪器科学与技术
    • 23 篇 交通运输工程
    • 16 篇 土木工程
    • 16 篇 航空宇航科学与技...
    • 14 篇 建筑学
    • 11 篇 材料科学与工程(可...
    • 10 篇 安全科学与工程
  • 345 篇 理学
    • 190 篇 数学
    • 122 篇 物理学
    • 80 篇 生物学
    • 65 篇 统计学(可授理学、...
    • 35 篇 化学
    • 24 篇 系统科学
  • 132 篇 管理学
    • 72 篇 图书情报与档案管...
    • 68 篇 管理科学与工程(可...
    • 11 篇 工商管理
  • 35 篇 医学
    • 31 篇 临床医学
    • 25 篇 基础医学(可授医学...
    • 20 篇 药学(可授医学、理...
  • 10 篇 法学
  • 10 篇 艺术学
  • 8 篇 农学
  • 6 篇 经济学
  • 5 篇 教育学
  • 5 篇 军事学
  • 2 篇 文学
  • 1 篇 哲学

主题

  • 61 篇 feature extracti...
  • 42 篇 image segmentati...
  • 42 篇 image processing
  • 41 篇 pattern recognit...
  • 23 篇 support vector m...
  • 23 篇 computer vision
  • 23 篇 training
  • 21 篇 object detection
  • 21 篇 laboratories
  • 21 篇 shape
  • 19 篇 convolution
  • 19 篇 principal compon...
  • 18 篇 image edge detec...
  • 17 篇 face recognition
  • 17 篇 image analysis
  • 16 篇 histograms
  • 16 篇 image reconstruc...
  • 16 篇 robustness
  • 15 篇 discrete wavelet...
  • 14 篇 semantics

机构

  • 74 篇 image processing...
  • 35 篇 institute of ima...
  • 23 篇 fujian key labor...
  • 23 篇 school of inform...
  • 18 篇 state key labora...
  • 18 篇 school of comput...
  • 17 篇 key laboratory o...
  • 16 篇 institute for pa...
  • 16 篇 school of softwa...
  • 15 篇 fujian key labor...
  • 14 篇 key laboratory o...
  • 13 篇 school of comput...
  • 12 篇 hubei key labora...
  • 12 篇 hubei engineerin...
  • 11 篇 college of compu...
  • 11 篇 key laboratory o...
  • 10 篇 key laboratory o...
  • 9 篇 national key lab...
  • 9 篇 pattern recognit...
  • 9 篇 institute of ima...

作者

  • 64 篇 ping guo
  • 35 篇 yang jie
  • 32 篇 zhang tianxu
  • 27 篇 guo ping
  • 26 篇 wang da-han
  • 25 篇 qian yin
  • 23 篇 huang xiaolin
  • 20 篇 jie yang
  • 19 篇 tian jinwen
  • 19 篇 liu jian
  • 18 篇 yunhong wang
  • 16 篇 ding mingyue
  • 15 篇 zhaoxiang zhang
  • 15 篇 jinwen tian
  • 15 篇 jian liu
  • 13 篇 zhou jie
  • 13 篇 zhu shunzhi
  • 13 篇 li qishen
  • 13 篇 tianxu zhang
  • 12 篇 shen hong-bin

语言

  • 802 篇 英文
  • 21 篇 其他
  • 21 篇 中文
检索条件"机构=Key Laboratory of Image Processing and Pattern Recognition"
844 条 记 录,以下是411-420 订阅
排序:
Multiple kernel learning method using MRMR criterion and kernel alignment
Multiple kernel learning method using MRMR criterion and ker...
收藏 引用
20th International Conference on Neural Information processing, ICONIP 2013
作者: Wu, Peng Duan, Fuqing Guo, Ping Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing 100875 China Shandong Provincial Key Laboratory of Network Based Intelligent Computing University of Jinan Jinan 250022 China
Multiple kernel learning (MKL) is a widely used kernel learning method, but how to select kernel is lack of theoretical guidance. The performance of MKL is depend on the users' experience, which is difficult to ch... 详细信息
来源: 评论
Robust visual tracking based on online learning of joint sparse dictionary
Robust visual tracking based on online learning of joint spa...
收藏 引用
6th International Conference on Machine Vision, ICMV 2013
作者: Li, Qiaozhe Qiao, Yu Yang, Jie Bai, Li Key Laboratory of Ministry of Education for System Control and Information Processing Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China School of Computer Science University of Nottingham Nottingham United Kingdom
In this paper, we propose a robust visual tracking algorithm based on online learning of a joint sparse dictionary. The joint sparse dictionary consists of positive and negative sub-dictionaries, which model foregroun... 详细信息
来源: 评论
Object tracking within the framework of concept drift
Object tracking within the framework of concept drift
收藏 引用
11th Asian Conference on Computer Vision, ACCV 2012
作者: Chen, Li Zhou, Yue Yang, Jie Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai 200240 China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai Jiao Tong University Shanghai 200240 China
It is well known that the backgrounds or the targets always change in real scenes, which weakens the effectiveness of classical tracking algorithms because of frequent model mismatches. In this paper, an object tracki... 详细信息
来源: 评论
Cattle's fur detection in complex background based on Graph Cuts
Cattle's fur detection in complex background based on Graph ...
收藏 引用
International Conference on Advanced Computer Science and Information System (ICACSIS)
作者: Hisyam Fahmi Ary Noviyanto Aniati Murni Arymurthy Image Processing and Pattern Recognition Laboratory Faculty of Computer Science Universitas Indonesia
Segmentation becomes a difficult task if the objects are not homogeneous and have overlapping characteristics. The Graph Cuts methods combined with Gaussian Mixture Model (GMM) for initialization label has been adopte... 详细信息
来源: 评论
Mountain landslide monitoring based on wireless sensor network
收藏 引用
Information Technology Journal 2013年 第15期12卷 3357-3362页
作者: Li, Xiaoling Yuan, Jimin School of Computer Science and Technology Chengdu University 610106 Chengdu China University Key Laboratory of Pattern Recognition Intelligent Information Processing 610106 Chengdu China Department Computer Engineering Chengdu Aeronautic Vocational and Technical College Chengdu 610000 China
The study provides a design scheme for the mountain landslide monitoring System based on wireless sensor networks. Different sensors are mainly used to collect data about the water depth in the soil and the sloping an... 详细信息
来源: 评论
AN ACTIVE CONTOUR MODEL BASED ON MULTIPLE BOUNDARY MEASURES
AN ACTIVE CONTOUR MODEL BASED ON MULTIPLE BOUNDARY MEASURES
收藏 引用
IEEE International Conference on image processing
作者: Yu Qiao Lei Zhou Jie Yang Yonghui Gao The Key Laboratory of Ministry of Education for System Control and Information Processing Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University
Weak boundary contrast, inhomogeneous background and overlapped intensity distributions of the object and background are main causes that may lead to failure of boundary detection for many traditional active contour m... 详细信息
来源: 评论
Research for detection level and production sales management of raisins based on NN and SAS/GIS
收藏 引用
Advance Journal of Food Science and Technology 2013年 第8期5卷 1055-1058页
作者: Xiaoling, Li Jimin, Yuan School of Computer Science and Technology Chengdu University Chengdu 610106 China Key Laboratory of Pattern Recognition and Intelligent information Processing University Chengdu Chengdu 610106 China School of Computer Science and Technology Panzhihua University Pan Zhihua 610106 China
Raisins grade identification in China still relies on photoelectric sorting and manual separation, also, the function of management system for the production, processing, and sales of raisin is traditional and simple.... 详细信息
来源: 评论
Efficient Texture Classification using Short-time Fourier Transform with Spatial Pyramid Matching
Efficient Texture Classification using Short-time Fourier Tr...
收藏 引用
IEEE International Conference on Systems, Man, and Cybernetics
作者: Hassan Dawood Hussain Dawood Ping Guo Image Processing and Pattern Recognition Laboratory Beijing Normal University Beijing 100875 China
Texture feature extraction plays an important role in texture image classification. In this paper, we have proposed a texture feature extraction method by utilizing the Short-time Fourier Transform to provide local im... 详细信息
来源: 评论
Multi-feature bio-inspired model for scene classification
收藏 引用
Applied Mechanics and Materials 2013年 303-306卷 1569-1572页
作者: Hu, De-Kun Lin, Jie College 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 610106 China School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu 610054 China
A multi-feature bio-inspired model for scene image classification (MFBIM) is presented in this work;it extends the hierarchical feedforward model of the visual cortex. Firstly, each of three paths of classification us... 详细信息
来源: 评论
Mining top-K Frequent and Flexible pattern from sequences
Mining top-K Frequent and Flexible Pattern from sequences
收藏 引用
2013 IEEE Conference Anthology, ANTHOLOGY 2013
作者: Junyan, Zhang Fan, Min Information Science and Technology College Chengdu University China University Key Laboratory of Pattern Recognition and Intelligent Information Processing Sichuan Province Chengdu China School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu China
pattern Mining is a popular issue in biological sequence analysis. With the introduction of wildcard gaps, more interesting patterns can be mined. In this paper, we propose a new definition related to pattern frequenc... 详细信息
来源: 评论