咨询与建议

限定检索结果

文献类型

  • 299 篇 会议
  • 256 篇 期刊文献

馆藏范围

  • 555 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 368 篇 工学
    • 233 篇 计算机科学与技术...
    • 198 篇 软件工程
    • 82 篇 信息与通信工程
    • 60 篇 生物工程
    • 50 篇 控制科学与工程
    • 44 篇 机械工程
    • 43 篇 光学工程
    • 33 篇 生物医学工程(可授...
    • 26 篇 化学工程与技术
    • 25 篇 电气工程
    • 22 篇 电子科学与技术(可...
    • 12 篇 仪器科学与技术
    • 9 篇 建筑学
    • 9 篇 土木工程
    • 7 篇 安全科学与工程
    • 6 篇 力学(可授工学、理...
  • 233 篇 理学
    • 115 篇 数学
    • 77 篇 物理学
    • 68 篇 生物学
    • 44 篇 统计学(可授理学、...
    • 25 篇 系统科学
    • 22 篇 化学
  • 94 篇 管理学
    • 51 篇 管理科学与工程(可...
    • 47 篇 图书情报与档案管...
    • 12 篇 工商管理
  • 20 篇 医学
    • 19 篇 临床医学
    • 13 篇 基础医学(可授医学...
    • 13 篇 药学(可授医学、理...
  • 8 篇 法学
    • 6 篇 社会学
  • 6 篇 经济学
    • 6 篇 应用经济学
  • 6 篇 教育学
  • 6 篇 农学
  • 5 篇 艺术学
  • 2 篇 军事学
  • 1 篇 文学

主题

  • 26 篇 feature extracti...
  • 25 篇 pattern recognit...
  • 20 篇 semantics
  • 19 篇 training
  • 18 篇 image segmentati...
  • 18 篇 face recognition
  • 15 篇 image processing
  • 14 篇 speech recogniti...
  • 12 篇 laboratories
  • 11 篇 convolution
  • 10 篇 deep neural netw...
  • 10 篇 machine learning
  • 10 篇 computer vision
  • 10 篇 robustness
  • 9 篇 support vector m...
  • 9 篇 deep learning
  • 8 篇 data mining
  • 8 篇 image reconstruc...
  • 8 篇 shape
  • 8 篇 character recogn...

机构

  • 72 篇 pattern recognit...
  • 27 篇 institute of ima...
  • 20 篇 pattern recognit...
  • 16 篇 the pattern reco...
  • 11 篇 national laborat...
  • 11 篇 key laboratory o...
  • 10 篇 guizhou key labo...
  • 10 篇 university of ch...
  • 10 篇 key laboratory o...
  • 9 篇 institute of ima...
  • 9 篇 institute for pa...
  • 9 篇 school of comput...
  • 8 篇 college of infor...
  • 8 篇 institute of pat...
  • 8 篇 pattern recognit...
  • 8 篇 key laboratory o...
  • 8 篇 key laboratory o...
  • 7 篇 key laboratory o...
  • 7 篇 school of comput...
  • 7 篇 school of inform...

作者

  • 35 篇 guo jun
  • 31 篇 ma zhanyu
  • 30 篇 jun guo
  • 24 篇 yang jie
  • 19 篇 gang liu
  • 19 篇 deng weihong
  • 16 篇 huang xiaolin
  • 14 篇 jie yang
  • 13 篇 liu jian
  • 13 篇 honggang zhang
  • 12 篇 liu gang
  • 11 篇 shen hong-bin
  • 11 篇 wang lin
  • 10 篇 chang dongliang
  • 10 篇 jian liu
  • 10 篇 lin wang
  • 10 篇 song yi-zhe
  • 9 篇 shao zehui
  • 9 篇 yang yang
  • 9 篇 tian jinwen

语言

  • 528 篇 英文
  • 23 篇 中文
  • 6 篇 其他
检索条件"机构=Key Laboratory of Pattern Recognition and Intelligent System"
555 条 记 录,以下是281-290 订阅
排序:
Region-Based Simplification of Laser Scanned Meshes
收藏 引用
Journal of Graphics Tools 2003年 第2期8卷 41-50页
作者: Ye Jianhui[a] [a]Image Processing & Intelligent Control Key Laboratory of China Institute of Pattern Recognition & Artificial Int elligence Huazhong University of Science and Technology Wuhan 430074 PR China E-mail:
To simplify the mesh acquired from at hree-dimensional laser scanner, it is more important to keep the boundary and quality of the region of interest than of other regions. The algorithm must not be sensitive to noise...
来源: 评论
Incremental tensor discriminant analysis for image detection
收藏 引用
Advanced Materials Research 2013年 710卷 579-583页
作者: Yan, Tao Liu, Chang Zhao, Wei Dong College of Information Science and Technology Chengdu University Chengdu 610106 China Key Laboratory of Pattern Recognition and Intelligent Information Processing Sichuan Province Chengdu 610106 China
In order to settle incremental learning and preserve the space information of images, this paper proposes an incremental tensor discriminant analysis for facial image detection. The proposed algorithm employs tensor r... 详细信息
来源: 评论
Integer Haar wavelet for remote sensing image compression
Integer Haar wavelet for remote sensing image compression
收藏 引用
International Conference on Signal Processing Proceedings (ICSP)
作者: Wang Zhenhua Xu Hongbo Tian Yan Tian Jinwen Liu Jian Institute for Pattern Recognition and Artificial Intelligence State Key Laboratory for Image Processing and Intelligent Control Huazhong University of science and Technology Wuhan China
With the development of remote sensing technique, onboard data compression has become an urgent need and a lot of study has been directed toward the development of efficient techniques. In this paper, the construction... 详细信息
来源: 评论
Multi-feature content-based product image retrieval based on region of main object
Multi-feature content-based product image retrieval based on...
收藏 引用
International Conference on Information, Communications and Signal Processing
作者: Lunshao Chai Honggang Zhang Zhen Qin Jie Yu Yonggang Qi Pattern Recognition and Intelligent System Laboratory Beijing University of Posts and Telecommunications Beijing China Riverside Laboratory for Artificial Intelligence Research University of California Riverside Riverside CA USA
Content-based image retrieval (CBIR) has got an intense interest and seen considerable progress over the last decade. But most of the time it is only applied in laboratory. One important reason for this is the diversi... 详细信息
来源: 评论
A fusion algorithm of remote sensing image based on discrete wavelet packet
A fusion algorithm of remote sensing image based on discrete...
收藏 引用
International Conference on Machine Learning and Cybernetics (ICMLC)
作者: Hai-Hui Wang Jia-Xiong Peng Wei Wu State Key Laboratory for Image Processing and Intelligent Control Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan China
Image fusion refers to the techniques that integrate complementary information from multiple image sensor data such that the new images are more suitable for the purpose of human visual perception and the compute proc... 详细信息
来源: 评论
<i>L</i>(2,1)-Labeling of the Brick Product Graphs
收藏 引用
Journal of Applied Mathematics and Physics 2017年 第8期5卷 1529-1536页
作者: Xiujun Zhang Hong Yang Hong Li School of Information Science and Engineering Chengdu University Chengdu China Key Laboratory of Pattern Recognition and Intelligent Information Processing Institutions of Higher Education of Sichuan Province Chengdu University Chengdu China
A k-L(2,1)-labeling for a graph G is a function such that whenever and whenever u and v are at distance two apart. The λ-number for G, denoted by λ(G), is the minimum k over all k-L(2,1)-labelings of G. In this pape... 详细信息
来源: 评论
A robust cell tracking framework by fusing global and local optimization algorithms
A robust cell tracking framework by fusing global and local ...
收藏 引用
第28届中国控制与决策会议
作者: Shu Meng Hong-Bin Shen Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China
Automated cell tracking is an important branch of multi-object tracking,which can be used for quantitatively analyzing cell migration,proliferation and *** this paper,we proposed a hierarchical tracking method,fusing ... 详细信息
来源: 评论
NiuEM: A Nested-iterative Unsupervised Learning Model for Single-particle Cryo-EM Image Processing
NiuEM: A Nested-iterative Unsupervised Learning Model for Si...
收藏 引用
2020 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2020
作者: Hu, Rui Cai, Jiaming Zheng, Wangjie Yang, Yang Shen, Hong-Bin Shanghai Jiao Tong University Key Lab. of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering Department of Computer Science and Engineering Shanghai200240 China Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai200240 China Shanghai Jiao Tong University Department of Bioinformatics and Biostatistics Shanghai200240 China
Cryo-electron microscopy (cryo-EM) has become a mainstream technology for solving spatial structures of biomacromolecules, while the processing of cryo-EM images is a very challenging task. One of the great challenges... 详细信息
来源: 评论
A Novel Approach to Edge Detection of Color Image Based on Quaternion Fractional Directional Differentiation
A Novel Approach to Edge Detection of Color Image Based on Q...
收藏 引用
The 2011 International Conference on Automation and Robotics(ICAR 2011)
作者: Chaobang Gao Jiliu Zhou Fangnian Lang Qiang Pu Chang Liu College of Computer Science and Technology Chengdu University School of Computer Science Sichuan University Key Laboratory of Pattern Recognition and Intelligent Information Processing
In this paper, we denote a color image by a quaternion function, then find edge points by solving the maximum of quaternion fractional directional differentiation(QFDD)'s norm. This method is called edge detection... 详细信息
来源: 评论
Sequence-level training for non-autoregressive neural machine translation
arXiv
收藏 引用
arXiv 2021年
作者: Shao, Chenze Feng, Yang Zhang, Jinchao Meng, Fandong Zhou, Jie Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Pattern Recognition Center WeChat AI Tencent Inc
In recent years, Neural Machine Translation (NMT) has achieved notable results in various translation tasks. However, the word-by-word generation manner determined by the autoregressive mechanism leads to high transla... 详细信息
来源: 评论