咨询与建议

限定检索结果

文献类型

  • 919 篇 会议
  • 426 篇 期刊文献
  • 7 册 图书

馆藏范围

  • 1,352 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 890 篇 工学
    • 475 篇 计算机科学与技术...
    • 416 篇 软件工程
    • 180 篇 信息与通信工程
    • 144 篇 机械工程
    • 126 篇 控制科学与工程
    • 121 篇 光学工程
    • 113 篇 生物医学工程(可授...
    • 95 篇 生物工程
    • 84 篇 电子科学与技术(可...
    • 64 篇 仪器科学与技术
    • 58 篇 电气工程
    • 41 篇 化学工程与技术
    • 19 篇 交通运输工程
    • 18 篇 力学(可授工学、理...
    • 17 篇 航空宇航科学与技...
    • 15 篇 材料科学与工程(可...
    • 15 篇 土木工程
    • 14 篇 建筑学
  • 463 篇 理学
    • 289 篇 数学
    • 147 篇 物理学
    • 108 篇 生物学
    • 88 篇 统计学(可授理学、...
    • 40 篇 化学
    • 33 篇 系统科学
  • 154 篇 管理学
    • 90 篇 管理科学与工程(可...
    • 68 篇 图书情报与档案管...
  • 73 篇 医学
    • 65 篇 临床医学
    • 50 篇 基础医学(可授医学...
    • 40 篇 药学(可授医学、理...
  • 18 篇 艺术学
    • 17 篇 设计学(可授艺术学...
  • 15 篇 法学
  • 10 篇 农学
  • 8 篇 经济学
  • 6 篇 教育学
  • 4 篇 文学
  • 4 篇 军事学
  • 1 篇 哲学
  • 1 篇 历史学

主题

  • 153 篇 pattern recognit...
  • 142 篇 image processing
  • 92 篇 image segmentati...
  • 70 篇 feature extracti...
  • 60 篇 shape
  • 53 篇 image reconstruc...
  • 48 篇 computer vision
  • 45 篇 support vector m...
  • 44 篇 cameras
  • 41 篇 robustness
  • 39 篇 image analysis
  • 35 篇 face recognition
  • 34 篇 humans
  • 30 篇 image edge detec...
  • 30 篇 principal compon...
  • 29 篇 pixel
  • 28 篇 data mining
  • 26 篇 image recognitio...
  • 24 篇 object detection
  • 23 篇 training

机构

  • 262 篇 institute of ima...
  • 241 篇 institute of ima...
  • 44 篇 institute of ima...
  • 35 篇 institute of ima...
  • 26 篇 institute of med...
  • 25 篇 institute of ima...
  • 21 篇 institute of ima...
  • 19 篇 image processing...
  • 17 篇 institute of ima...
  • 17 篇 institute of ima...
  • 16 篇 institute for pa...
  • 14 篇 department of au...
  • 13 篇 school of comput...
  • 12 篇 college of compu...
  • 11 篇 the institute of...
  • 10 篇 key laboratory o...
  • 9 篇 institute of ima...
  • 9 篇 pattern recognit...
  • 9 篇 pattern recognit...
  • 9 篇 institute of ima...

作者

  • 175 篇 yang jie
  • 129 篇 jie yang
  • 57 篇 yuncai liu
  • 52 篇 huang xiaolin
  • 47 篇 pengfei shi
  • 23 篇 zhou yue
  • 21 篇 liu yuncai
  • 21 篇 shi pengfei
  • 20 篇 wang lisheng
  • 20 篇 hong-bin shen
  • 19 篇 mou xuanqin
  • 19 篇 杨杰
  • 19 篇 kropatsch walter...
  • 18 篇 gu yun
  • 17 篇 xuanqin mou
  • 17 篇 ping guo
  • 17 篇 yue zhou
  • 17 篇 shen hong-bin
  • 16 篇 r. sablatnig
  • 16 篇 yu qiao

语言

  • 1,283 篇 英文
  • 48 篇 中文
  • 24 篇 其他
检索条件"机构=The Institute of Image Processing and Pattern Recognition"
1352 条 记 录,以下是131-140 订阅
排序:
Patch-based tracking and detecting for visual tracking
Patch-based tracking and detecting for visual tracking
收藏 引用
4th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2013
作者: Li, Qianwen Zhou, Yue Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai China
As one of the most traditional tracking methods, particle filter has been improved in many previous tracking methods due to its non-Gaussian and non-linear distribution. Meanwhile, pure tracking methods cannot achieve... 详细信息
来源: 评论
Conventional mammographic image generation method with increased calcification sensitivity based on dual-energy
Conventional mammographic image generation method with incre...
收藏 引用
12th International Workshop on Breast Imaging, IWDM 2014
作者: Chen, Xi Mou, Xuanqin Institute of Image Processing and Pattern Recognition Xi'an Jiaotong University Xi'an Shaanxi China
The visualization of calcifications could be obscured in mammograms because of overlapping of tissue structures. Dual-energy digital mammography (DEDM) can generate tissue-subtracted image for improving the detectabil... 详细信息
来源: 评论
image PCA: A new approach for face recognition
Image PCA: A new approach for face recognition
收藏 引用
2007 IEEE International Conference on Acoustics, Speech and Signal processing, ICASSP '07
作者: Ying, Wen Pengfei, Shi Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai 200030 China
Two-dimensional principal component analysis (2DPCA) for face recognition has been proposed which is based on 2D matrices. It needs more coefficients for feature vectors than principal component analysis (PCA). In thi... 详细信息
来源: 评论
A velocity-difference-separation model for car-following theory
收藏 引用
Chinese Physics B 2006年 第7期15卷 1570-1576页
作者: 李志鹏 刘允才 Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai 200030 China
We introduce a velocity-difference-separation model that modifies the previous models in the literature. The improvement of this new model over the previous ones lies in that it not only theoretically retains many str... 详细信息
来源: 评论
Synergism in color image segmentation
Synergism in color image segmentation
收藏 引用
8th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2004: Trends in Artificial Intelligence
作者: Wang, Yuzhong Yang, Jie Ningsong, Peng Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai 200030 China
An improved approach for JSEG is presented for unsupervised color image segmentation. Instead of color quantization algorithm, an automatic classification method based on adaptive mean shift (AMS) based clustering is ... 详细信息
来源: 评论
Revisiting the Benefits of Knowledge Distillation against Adversarial Examples  6
Revisiting the Benefits of Knowledge Distillation against Ad...
收藏 引用
6th International Conference on Data Science and Information Technology, DSIT 2023
作者: Li, Jiawen Yang, Jie Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai China
Deep neural networks (DNNs) have always been a popular base model in many image classification tasks. However, some recent works suggest that there are some man made images will easily lead DNNs give wrong predictions... 详细信息
来源: 评论
Visual saliency based on conditional entropy
收藏 引用
Lecture Notes in Computer Science
作者: Li, Yin Zhou, Yue Yan, Junchi Niu, Zhibin Yang, Jie Institute of Image Processing and Pattern Recognition Department of Automation Shanghai Jiaotong University China
By the guidance of attention, human visual system is able to locate objects of interest in complex scene. In this paper, we propose a novel visual saliency detection method - the conditional saliency for both image an... 详细信息
来源: 评论
A universal method for camera calibration in UITS scenes
收藏 引用
Chinese Optics Letters 2005年 第2期3卷 69-72页
作者: 陈兆学 施鹏飞 Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai 200030
A universal approach to camera calibration based on features of some representative lines on traffic ground is presented. It uses only a set of three parallel edges with known intervals and one of their intersected li... 详细信息
来源: 评论
Repetitive shapes detection using affine invariant constraints
Repetitive shapes detection using affine invariant constrain...
收藏 引用
2014 International Conference on Communication Technology and Application, CTA 2014
作者: Yang, Z.H. Dong, P. Institute of Image Processing and Pattern Recognition North China University of Technology Beijing China
This paper presents a novel approach for finding more accurate feature pairs which is not only invariant to affine transformation, but also deals with images with repetitive shapes. First, the more accurate and robust... 详细信息
来源: 评论
Voting-based matching for near-planar objects with drastic illumination variation
Voting-based matching for near-planar objects with drastic i...
收藏 引用
International Conference on Multimedia Technology
作者: Xie, Haiyong Yan, Jingqi Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai China
image registration is a challenging task when illumination changes drastically. In this paper, we propose a novel algorithm, APCurve, to address this problem. APCurve matches all principle curves extracted from the se... 详细信息
来源: 评论