咨询与建议

限定检索结果

文献类型

  • 299 篇 会议
  • 257 篇 期刊文献

馆藏范围

  • 556 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

  • 529 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"
556 条 记 录,以下是271-280 订阅
排序:
Oscillation resolution for massive cell phone traffic data  1
Oscillation resolution for massive cell phone traffic data
收藏 引用
1st Workshop on Mobile Data, MobiData 2016, co-located with MobiSys 2016
作者: Qi, Ling Qiao, Yuanyuan Abdesslem, Fehmi Ben Ma, Zhanyu Yang, Jie Center for Data Science Beijing Key Laboratory of Network System Architecture and Convergence Beijing Laboratory of Advanced Information Network BUPT Beijing China Decisions Networks and Analytics Laboratory SICS Stockholm Sweden Center for Data Science Pattern Recognition and Intelligent System Lab BUPT Beijing China
Cellular towers capture logs of mobile subscribers whenever their devices connect to the network. When the logs show data traffic at a cell tower generated by a device, it reveals that this device is close to the towe... 详细信息
来源: 评论
Fast KNN search for big data with set compression tree and best bin first  2
Fast KNN search for big data with set compression tree and b...
收藏 引用
2nd International Conference on Cloud Computing and Internet of Things, CCIOT 2016
作者: Chen, Zhenjie Yan, Jingqi Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Key Laboratory of Ministry of Education for System Control and Information Processing China Shanghai China
This paper proposes k nearest neighbors (kNN) search based on set compression tree (SCT) and best bin first (BBF) to deal with the problem for big data. The large compression rate by set compression tree is achieved b... 详细信息
来源: 评论
Analysis of key Factors in Heat Demand Prediction with Neural Networks
收藏 引用
Energy Procedia 2017年 105卷 2965-2970页
作者: Jiyang Xie Hailong Li Zhanyu Ma Qie Sun Fredrik Wallin Zhongwei Si Jun Guo Pattern Recognition and Intelligent Systems Lab. Beijing University of Posts and Telecommunications China School of Business Society and Engineering Mälardalen University Sweden Institute of Thermal Science and Technology Shandong University China Key Laboratory of Universal Wireless Communications Ministry of Education Beijing University of Posts and Telecommunications China
The development of heat metering has promoted the development of statistic models for the prediction of heat demand, due to the large amount of available data, or big data. Weather data have been commonly used as inpu... 详细信息
来源: 评论
Image spam classification based on convolutional neural network
Image spam classification based on convolutional neural netw...
收藏 引用
International Conference on Machine Learning and Cybernetics (ICMLC)
作者: Er-Xin Shang Hong-Gang Zhang Pattern Recognition and Intelligent System Laboratory Beijing University of Post and Telecommunication
Image classification is a fundamental problem in computer vision and pattern recognition. Feature extraction is often regarded as the key for classifying images. Traditional ways rely on handcrafted features heavily, ... 详细信息
来源: 评论
Instance-level coupled subspace learning for fine-grained sketch-based image retrieval  14
Instance-level coupled subspace learning for fine-grained sk...
收藏 引用
Computer Vision - ECCV 2016 Workshops, Proceedings
作者: Xu, Peng Yin, Qiyue Qi, Yonggang Song, Yi-Zhe Ma, Zhanyu Wang, Liang Guo, Jun Pattern Recognition and Intelligent System Laboratory Beijing University of Posts and Telecommunications Beijing China National Lab of Pattern Recognition Institute of Automation Chinese Academy of Sciences Beijing China SketchX Lab School of Electronic Engineering and Computer Science Queen Mary University of London London United Kingdom
Fine-grained sketch-based image retrieval (FG-SBIR) is a newly emerged topic in computer vision. The problem is challenging because in addition to bridging the sketch-photo domain gap, it also asks for instance-level ... 详细信息
来源: 评论
Nonconvex penalties with analytical solutions for one-bit compressive sensing
arXiv
收藏 引用
arXiv 2017年
作者: Huang, Xiaolin Yan, Ming Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University MOE Key Laboratory of System Control and Information Processing Shanghai200240 China Department of Computational Mathematics Science and Engineering Department of Mathematics Michigan State University East LansingMI48824 United States
One-bit measurements widely exist in the real world and can be used to recover sparse signals. This task is known as one-bit compressive sensing (1bit-CS). In this paper, we propose novel algorithms based on both conv... 详细信息
来源: 评论
Correction to: Internet gaming disorder: deficits in functional and structural connectivity in the ventral tegmental area-Accumbens pathway
收藏 引用
Brain imaging and behavior 2019年 第4期13卷 1182页
作者: Ruonan Wang Min Li Meng Zhao Dahua Yu Yu Hu Corinde E Wiers Gene-Jack Wang Nora D Volkow Kai Yuan School of Life Science and Technology Xidian University Xi'an Shaanxi 710071 People's Republic of China. Engineering Research Center of Molecular and Neuro Imaging Ministry of Education Xi'an People's Republic of China. Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing School of Information Engineering Inner Mongolia University of Science and Technology Baotou Inner Mongolia 014010 People's Republic of China. National Institute on Alcoholism and Alcohol Abuse National Institutes of Health Bethesda MD 20892 USA. National Institute on Drug Abuse National Institutes of Health Bethesda MD 20892 USA. School of Life Science and Technology Xidian University Xi'an Shaanxi 710071 People's Republic of China. kyuan@***. Engineering Research Center of Molecular and Neuro Imaging Ministry of Education Xi'an People's Republic of China. kyuan@***. Inner Mongolia Key Laboratory of Pattern Recognition and Intelligent Image Processing School of Information Engineering Inner Mongolia University of Science and Technology Baotou Inner Mongolia 014010 People's Republic of China. kyuan@***. National Institute on Alcoholism and Alcohol Abuse National Institutes of Health Bethesda MD 20892 USA. kyuan@***. Guangxi Key Laboratory of Multi-Source Information Mining and Security Guangxi Normal University Guilin People's Republic of China. kyuan@***.
The original version of this article contained mistakes, and the authors would like to correct them. The correct details are given below.
来源: 评论
An Image Segmentation Algorithm Based on Gray Bit Plane for Flame
An Image Segmentation Algorithm Based on Gray Bit Plane for ...
收藏 引用
2016 4th International Conference on Electrical&Electronics Engineering and Computer Science(ICEEECS 2016)
作者: Xing Deng Jinlan Li Fujian Feng Lin Wang Zhongming Yu School of physics and electronic science Guizhou Normal University Guizhou provincial key laboratory of pattern recognition and intelligent system Liupanshui Normal University
Flame region judgment is an important part of fire detection system;meanwhile the flame of intelligent monitoring system also has important practical significance to national fire control safety. Therefore, this artic... 详细信息
来源: 评论
A MIL-based interactive approach for hotspot segmentation from bone scintigraphy
A MIL-based interactive approach for hotspot segmentation fr...
收藏 引用
International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Shijie Geng Jingyang Ma Xiaoguang Niu Shaoyong Jia Yu Qiao Jie Yang Institute of Image Processing and Pattern Recognition The Key Laboratory of System Control and Information Processing Ministry of Education China
Bone scintigraphy is widely used to diagnose bone diseases. Accurate hotspot segmentation is a critical task for tumor metastasis diagnosis. In this paper, we propose an interactive approach to detect and extract hots... 详细信息
来源: 评论
MRI denoising using randomized version of nonlocal means method
MRI denoising using randomized version of nonlocal means met...
收藏 引用
2016 International Conference on Image Processing, Computer Vision, and pattern recognition, IPCV 2016
作者: Hu, Jinrong He, Jia Fu, Ying Wu, Xi Zhou, Jiliu School of Computer and Soft Engineering Xihua University Chengdu610039 China Key Laboratory of Pattern Recognition and Intelligent Information Processing Chengdu University Chengdu610106 China School of Computer Science Chengdu University of Information Technology Chengdu610225 China
- Non-local mean (NLM) algorithm has been implemented effectively in MRI denoising and is always limited by its computational complexity. To reduce the computational burden of NLM in 3D MRI dataset, in this paper, we ... 详细信息
来源: 评论