咨询与建议

限定检索结果

文献类型

  • 206 篇 会议
  • 120 篇 期刊文献

馆藏范围

  • 326 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 206 篇 工学
    • 137 篇 计算机科学与技术...
    • 114 篇 软件工程
    • 42 篇 信息与通信工程
    • 38 篇 生物工程
    • 28 篇 控制科学与工程
    • 23 篇 机械工程
    • 20 篇 光学工程
    • 13 篇 化学工程与技术
    • 8 篇 生物医学工程(可授...
    • 6 篇 仪器科学与技术
    • 5 篇 电气工程
    • 5 篇 建筑学
    • 5 篇 土木工程
    • 5 篇 交通运输工程
    • 4 篇 电子科学与技术(可...
    • 4 篇 安全科学与工程
    • 3 篇 材料科学与工程(可...
  • 118 篇 理学
    • 48 篇 数学
    • 40 篇 生物学
    • 37 篇 物理学
    • 19 篇 统计学(可授理学、...
    • 11 篇 系统科学
    • 10 篇 化学
  • 79 篇 管理学
    • 43 篇 管理科学与工程(可...
    • 39 篇 图书情报与档案管...
    • 10 篇 工商管理
  • 10 篇 法学
    • 10 篇 社会学
  • 4 篇 医学
    • 3 篇 基础医学(可授医学...
    • 3 篇 临床医学
  • 3 篇 艺术学
    • 3 篇 设计学(可授艺术学...
  • 1 篇 经济学
  • 1 篇 教育学
  • 1 篇 文学
  • 1 篇 农学

主题

  • 26 篇 feature extracti...
  • 17 篇 pattern recognit...
  • 17 篇 training
  • 15 篇 speech recogniti...
  • 14 篇 semantics
  • 11 篇 face recognition
  • 10 篇 image segmentati...
  • 9 篇 intelligent syst...
  • 8 篇 data mining
  • 8 篇 visualization
  • 8 篇 image classifica...
  • 7 篇 deep neural netw...
  • 7 篇 convolution
  • 7 篇 computer vision
  • 7 篇 character recogn...
  • 6 篇 hidden markov mo...
  • 6 篇 vectors
  • 6 篇 databases
  • 6 篇 machine learning
  • 6 篇 histograms

机构

  • 72 篇 pattern recognit...
  • 37 篇 pattern recognit...
  • 24 篇 pattern recognit...
  • 20 篇 pattern recognit...
  • 16 篇 the pattern reco...
  • 10 篇 guizhou key labo...
  • 9 篇 school of comput...
  • 8 篇 pattern recognit...
  • 6 篇 school of comput...
  • 6 篇 pattern recognit...
  • 5 篇 huawei beijing r...
  • 5 篇 department of st...
  • 4 篇 beijing academy ...
  • 4 篇 national lab of ...
  • 4 篇 university of ch...
  • 4 篇 department of st...
  • 4 篇 pattern recognit...
  • 4 篇 center for resea...
  • 4 篇 beijing universi...
  • 3 篇 department of el...

作者

  • 46 篇 guo jun
  • 44 篇 jun guo
  • 40 篇 ma zhanyu
  • 24 篇 honggang zhang
  • 19 篇 zhanyu ma
  • 19 篇 gang liu
  • 19 篇 deng weihong
  • 16 篇 zhang chuang
  • 13 篇 bin zhang
  • 12 篇 chang dongliang
  • 12 篇 liu gang
  • 12 篇 guohui li
  • 11 篇 wu ming
  • 10 篇 chuang zhang
  • 10 篇 li xiaoxu
  • 10 篇 song yi-zhe
  • 9 篇 yang yang
  • 9 篇 zhang honggang
  • 9 篇 zhiqing lin
  • 9 篇 du ruoyi

语言

  • 314 篇 英文
  • 10 篇 中文
  • 4 篇 其他
检索条件"机构=Pattern Recognition and Intelligent System"
326 条 记 录,以下是81-90 订阅
排序:
Fine-Grained Visual Classification via Progressive Multi-granularity Training of Jigsaw Patches  1
收藏 引用
16th European Conference on Computer Vision, ECCV 2020
作者: Du, Ruoyi Chang, Dongliang Bhunia, Ayan Kumar Xie, Jiyang Ma, Zhanyu Song, Yi-Zhe Guo, Jun Pattern Recognition and Intelligent System Laboratory School of Artificial Intelligence Beijing University of Posts and Telecommunications Beijing China SketchX CVSSP University of Surrey Guildford United Kingdom
Fine-grained visual classification (FGVC) is much more challenging than traditional classification tasks due to the inherently subtle intra-class object variations. Recent works are mainly part-driven (either explicit... 详细信息
来源: 评论
A new RCNN-RF for efficient and robust parking lot available detection  16
A new RCNN-RF for efficient and robust parking lot available...
收藏 引用
16th International Conference on Digital Image Processing, ICDIP 2024
作者: Zhang, Qian Ran, Yaqin Luo, Di Xu, Kaili Shi, Jilaing School of Data Science and Information Engineering GuiZhou MinZu University Guiyang550025 China Guizhou Key Laboratory of Pattern Recognition and Intelligent System Guiyang550025 China
It's very meaningful to conduct the driver to the parking space available in the parking lot clearly and accurately by computer vision and computational intelligence. While it is an extremely difficult task, becau... 详细信息
来源: 评论
BLOG EXTRACTION WITH TEMPLATEINDEPENDENT WRAPPER
BLOG EXTRACTION WITH TEMPLATEINDEPENDENT WRAPPER
收藏 引用
2010 2nd IEEE International Conference on Network Infrasturcture & Digital Content(2010年第二届IEEE网络基础设施与数字内容国际会议 IC-NIDC 2010)
作者: Zhixuan Zhang Chuang Zhang Zhiqing Lin Bo Xiao Pattern Recognition and Intelligent System Laboratory(PRIS) Beijing University of Posts and Telecomm Pattern Recognition and Intelligent System Laboratory(PRIS) Beijing University of Posts and Telecom
Rich information is contributed to blogs by millions of users all around the world with the development of blogsphere. However, few work has been done on the study of blog extraction so far. Unlike the traditional tem... 详细信息
来源: 评论
Quantile-based method for the recognition of handwritten Chinese characters
Quantile-based method for the recognition of handwritten Chi...
收藏 引用
International Conference on Signal Processing Proceedings (ICSP)
作者: Ren Junling Wang Chengquan Guo Jun Pattern Recognition and Intelligent System Laboratory BUPT Beijing China
In course of generating templates of handwritten Chinese characters, the method based on average of the samples features is popular. In this paper, an approach based on quantile is put forward to generate templates. A... 详细信息
来源: 评论
Research on Real-time Video Action Classification Based on Three-Dimensional Convolutional Neural Network
Research on Real-time Video Action Classification Based on T...
收藏 引用
IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC)
作者: Mingli Yu Chuang Zhang Ming Wu Pattern Recognition and Intelligent System Lab BUPT Beijing China
This paper describes a model for performing action classification in real-time video streaming. This model can simultaneously analyze the spatio-temporal information of video under the constraint of low delay. In addi... 详细信息
来源: 评论
A novel keypoint detection in wavelet pyramid space
International Journal of Digital Content Technology and its ...
收藏 引用
International Journal of Digital Content Technology and its Applications 2011年 第6期5卷 55-62页
作者: Gao, Yanyan Zhang, Honggang Guo, Jun Pattern Recognition and Intelligent System Laboratory Beijing University of Posts and telecommunications Beijing China
Keypoint detection is important for object recognition, image retrieval, mosaicing etc., and has attracted ample research. In this paper, we propose a novel wavelet-based detector (NWBD) based on the previous research... 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
A proposed GM-GRNN model for the prediction of behavior in complex system
A proposed GM-GRNN model for the prediction of behavior in c...
收藏 引用
19th IASTED International Conference on Modelling and Simulation, MS 2008
作者: Pan, Wei Huang, Yupeng DeGaris, Hugo Pattern Recognition and Intelligent System Institute Information Science and Technology School Xiamen University China Artificial Intelligence Institute Information Science and Technology School Xiamen University China
This paper analyses the kernel of the General Regression Neural Network (GRNN) model in detail, and presents its deficiencies in the domain of complex systems forecasting. We import various aspects of the Broyden-Flet... 详细信息
来源: 评论
Competing Ratio Loss for Multi-class image Classification  34
Competing Ratio Loss for Multi-class image Classification
收藏 引用
34th IEEE International Conference on Visual Communications and Image Processing, VCIP 2019
作者: Zhang, Ke Wang, Xinsheng Guo, Yurong Zhao, Zhenbing Ma, Zhanyu North China Electric Power University Department of Electronic and Communication Engineering Hebei China Pattern Recognition and Intelligent System Laboratory Beijing University of Posts and Telecommunications Beijing China
Cross-entropy loss function (CEL) is widely used for training a multi-class classification deep convolutional neural network (DCNN). While CEL has been successfully implemented in image classification tasks, it only f... 详细信息
来源: 评论
intelligent Parking Big Data Cloud Platform Algorithm Research and Application  6
Intelligent Parking Big Data Cloud Platform Algorithm Resear...
收藏 引用
6th International Conference on Computer Information Science and Application Technology, CISAT 2023
作者: Yan, Xiaobo Zou, Xue Cai, Shan Wang, Lin Key Laboratory of Pattern Recognition and Intelligent System of Guizhou Province Guizhou Minzu University Guiyang China College of Date Science and Information Engineering Guizhou Minzu University Guiyang China
With the rapid development of the domestic economy and the increasing living standards of the people, the ownership of private cars has increased explosively. Currently, urban traffic congestion and parking difficulty... 详细信息
来源: 评论