咨询与建议

限定检索结果

文献类型

  • 973 篇 会议
  • 418 篇 期刊文献
  • 5 册 图书

馆藏范围

  • 1,396 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 910 篇 工学
    • 534 篇 计算机科学与技术...
    • 468 篇 软件工程
    • 211 篇 信息与通信工程
    • 154 篇 光学工程
    • 121 篇 控制科学与工程
    • 114 篇 生物医学工程(可授...
    • 108 篇 生物工程
    • 97 篇 机械工程
    • 85 篇 电子科学与技术(可...
    • 64 篇 电气工程
    • 51 篇 仪器科学与技术
    • 48 篇 化学工程与技术
    • 24 篇 交通运输工程
    • 22 篇 航空宇航科学与技...
    • 20 篇 土木工程
    • 18 篇 建筑学
    • 16 篇 力学(可授工学、理...
    • 14 篇 材料科学与工程(可...
  • 526 篇 理学
    • 319 篇 数学
    • 175 篇 物理学
    • 123 篇 生物学
    • 93 篇 统计学(可授理学、...
    • 46 篇 化学
    • 33 篇 系统科学
  • 165 篇 管理学
    • 88 篇 管理科学与工程(可...
    • 86 篇 图书情报与档案管...
    • 17 篇 工商管理
  • 68 篇 医学
    • 61 篇 临床医学
    • 51 篇 基础医学(可授医学...
    • 43 篇 药学(可授医学、理...
  • 14 篇 法学
  • 11 篇 艺术学
  • 10 篇 农学
  • 7 篇 经济学
  • 7 篇 教育学
  • 5 篇 文学
  • 5 篇 军事学
  • 1 篇 哲学

主题

  • 144 篇 pattern recognit...
  • 136 篇 image processing
  • 91 篇 image segmentati...
  • 80 篇 feature extracti...
  • 59 篇 shape
  • 54 篇 image reconstruc...
  • 45 篇 support vector m...
  • 45 篇 cameras
  • 45 篇 computer vision
  • 37 篇 image analysis
  • 37 篇 robustness
  • 36 篇 face recognition
  • 35 篇 image edge detec...
  • 32 篇 humans
  • 29 篇 image recognitio...
  • 29 篇 principal compon...
  • 28 篇 data mining
  • 27 篇 pixel
  • 26 篇 object detection
  • 26 篇 target tracking

机构

  • 237 篇 institute of ima...
  • 214 篇 institute of ima...
  • 37 篇 institute of ima...
  • 34 篇 institute of ima...
  • 24 篇 image processing...
  • 23 篇 institute of med...
  • 21 篇 institute of ima...
  • 21 篇 institute of ima...
  • 19 篇 institute for pa...
  • 17 篇 institute of ima...
  • 16 篇 state key labora...
  • 13 篇 department of au...
  • 13 篇 school of comput...
  • 12 篇 college of compu...
  • 11 篇 the institute of...
  • 11 篇 university of ch...
  • 10 篇 key laboratory o...
  • 9 篇 institute of ima...
  • 9 篇 institute of pat...
  • 9 篇 laboratory of im...

作者

  • 177 篇 yang jie
  • 114 篇 jie yang
  • 53 篇 yuncai liu
  • 53 篇 huang xiaolin
  • 40 篇 pengfei shi
  • 34 篇 zhang tianxu
  • 24 篇 ping guo
  • 22 篇 zhou yue
  • 21 篇 liu yuncai
  • 21 篇 shi pengfei
  • 19 篇 mou xuanqin
  • 19 篇 jian liu
  • 18 篇 wang lisheng
  • 17 篇 xuanqin mou
  • 17 篇 ding mingyue
  • 17 篇 hong-bin shen
  • 17 篇 gu yun
  • 16 篇 guo ping
  • 16 篇 yue zhou
  • 16 篇 xiangjian he

语言

  • 1,330 篇 英文
  • 44 篇 中文
  • 25 篇 其他
检索条件"机构=Institute of Image Processing and Pattern Recognition North China University of Technology"
1396 条 记 录,以下是151-160 订阅
排序:
image retrieval using weighted color co-occurrence matrix
Image retrieval using weighted color co-occurrence matrix
收藏 引用
22nd British National Conference on Databases, BNCOD 22
作者: Liang, Dong Yang, Jie Lu, Jin-Jun Chang, Yu-Chou Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai 200030 China
Weighted Color Co-occurrence Matrix (WCCM) is introduced as a novel feature for image retrieval. When indexing images with WCCM feature, the similarities of diagonal elements and non-diagonal elements are weighted res... 详细信息
来源: 评论
Face recognition using kernel principal component analysis and genetic algorithms  12
Face recognition using kernel principal component analysis a...
收藏 引用
12th IEEE Workshop on Neural Networks for Signal processing, NNSP 2002
作者: Zhang, Yankun Liu, Chongqing Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai200030 China
Kernel principal component analysis (KPCA) as a powerful nonlinear feature extraction method has proven as a preprocessing step for classification algorithm. A face recognition approach based on KPCA and genetic algor... 详细信息
来源: 评论
image recognition Based on Combined Filters with Pseudoinverse Learning Algorithm  15th
Image Recognition Based on Combined Filters with Pseudoinver...
收藏 引用
15th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2019
作者: Deng, Xiaodan Sun, Xiaoxuan Guo, Ping Yin, Qian Image Processing and Pattern Recognition Laboratory School of Systems Science Beijing Normal University Beijing100875 China Image Processing and Pattern Recognition Laboratory College of Information Science and Technology Beijing Normal University Beijing China
Deep convolution neural network (CNN) is one of the most popular Deep neural networks (DNN). It has won state-of-the-art performance in many computer vision tasks. The most used method to train DNN is Gradient descent... 详细信息
来源: 评论
The projective equation of a circle and its application in camera calibration
The projective equation of a circle and its application in c...
收藏 引用
作者: Zheng, Yinqiang Liu, Yuncai Image Processing and Pattern Recognition Institute Shanghai Jiao Tong University China
In this article, we present the projective equation of a circle in a perspective view, which naturally encodes such important geometric entities as the projected circle center, the vanishing point of the normal direct... 详细信息
来源: 评论
A simple but effective denoising algorithm in projection domain of CBCT  8th
A simple but effective denoising algorithm in projection dom...
收藏 引用
8th International Conference on image and Graphics, ICIG 2015
作者: Chang, Shaojie Zhang, Yanbo Bai, Ti Chen, Xi Xu, Qiong Mou, Xuanqin Institute of Image Processing and Pattern Recognition Xi’an Jiaotong University Xi’anShaanxi710049 China
There are growing concerns on the potential side effect of radiation, which could be decreased by lowering the tube current. However, this manner will lead to a degraded image since X-ray imaging is a quantum accumula... 详细信息
来源: 评论
A modified Hopfield neural network used in bilevel image restoration and reconstruction
A modified Hopfield neural network used in bilevel image res...
收藏 引用
1992 Singapore: Communications on the Move, ICCS/ISITA 1992
作者: Sun, Yi Yu, Song-Yu Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai200030 China
Approach for bilevel image restoration and reconstruction using a modified Hopfield neural network is proposed in this paper. A group of threshold update (TU) algorithms with respective to simultaneous, partially simu... 详细信息
来源: 评论
An eliminating highest error criterion in Hopfield neural network for bilevel image restoration
An eliminating highest error criterion in Hopfield neural ne...
收藏 引用
1992 Singapore: Communications on the Move, ICCS/ISITA 1992
作者: Sun, Yi Yu, Song-Yu Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai200030 China
In Hopfield neural network approach for bilevel image restoration the autoconnections of the network generally weight heavier than interconnections. This characteristic exists in general degradation models of image re... 详细信息
来源: 评论
image feature ratio model: similarity measures with both semantic and visual features in interactive image retrieval
Image feature ratio model: similarity measures with both sem...
收藏 引用
MIPPR 2005: image Analysis Techniques
作者: Tang, Hong Fang, Tao Shi, Peng-Fei Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai 200030 China
The feature contrast model (FCM), which is the simplest form of the matching function in Tversky's set-theoretic similarity, is a famous similarity model in psychological society. Although FCM can be employed to e... 详细信息
来源: 评论
Dysfunction and recovery of the cortical connectome gradient and its association with gene expression profiles in methamphetamine and heroin use disorders
收藏 引用
Progress in Neuro-Psychopharmacology and Biological Psychiatry 2025年 139卷 111391页
作者: Du, Zhe Yang, Wenhan Wen, Xinwen Cai, Suping Liu, Jun Yuan, Kai School of Life Science and Technology Xidian University Shaanxi Xi'an 710126 China Department of Radiology Second Xiangya Hospital Central South University Changsha 410011 China Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing School of Information Engineering Inner Mongolia University of Science and Technology Inner Mongolia Baotou 014010 China Engineering Research Center of Molecular and Neuro Imaging Ministry of Education Shaanxi Xi'an China Ganzhou City Key Laboratory of Mental Health The Third People's Hospital of Ganzhou City Jiangxi Ganzhou 341000 China Xi'an Key Laboratory of Intelligent Sensing and Regulation of Trans-Scale Life Information School of Life Science and Technology Xidian University Shaanxi Xi'an 710126 China
Background: The hierarchy and segregation of community-based brain networks can be characterized by functional connectome gradient (FCG). Whether the cortical FCG was disrupted and could even be reversed after prolong... 详细信息
来源: 评论
Blurred image recognition based on complex moment invariants
Blurred image recognition based on complex moment invariants
收藏 引用
2004 International Conference on image processing, ICIP 2004
作者: Tianxu, Zhang Jin, Liu Institute for Pattern Recognition and Artifical Intelligence State Key Laboratory of Image Processing and Intelligent Control HuaZhong University of Science and Technology China Institute for Pattern Recognition and Artifical Intelligence HuaZhong University of Science and Technology China
An important class of radiometric degradations we are faced with often in practice is image blurring. Special attention is paid to the recognition of the blurred image by moment invariant approach. Some important rule... 详细信息
来源: 评论