咨询与建议

限定检索结果

文献类型

  • 28 篇 会议
  • 16 篇 期刊文献

馆藏范围

  • 44 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 33 篇 工学
    • 24 篇 计算机科学与技术...
    • 21 篇 软件工程
    • 7 篇 信息与通信工程
    • 5 篇 控制科学与工程
    • 4 篇 生物工程
    • 3 篇 机械工程
    • 3 篇 电气工程
    • 2 篇 电子科学与技术(可...
    • 1 篇 仪器科学与技术
    • 1 篇 化学工程与技术
    • 1 篇 航空宇航科学与技...
    • 1 篇 网络空间安全
  • 14 篇 理学
    • 8 篇 数学
    • 4 篇 生物学
    • 2 篇 物理学
    • 2 篇 系统科学
    • 1 篇 化学
    • 1 篇 统计学(可授理学、...
  • 11 篇 管理学
    • 7 篇 图书情报与档案管...
    • 5 篇 管理科学与工程(可...
    • 2 篇 工商管理
  • 1 篇 法学
    • 1 篇 社会学
  • 1 篇 教育学
    • 1 篇 教育学

主题

  • 5 篇 feature extracti...
  • 3 篇 semantics
  • 3 篇 training
  • 2 篇 deep neural netw...
  • 2 篇 trajectories
  • 2 篇 graph neural net...
  • 2 篇 security
  • 2 篇 low pass filters
  • 1 篇 facial expressio...
  • 1 篇 location-based
  • 1 篇 road sign
  • 1 篇 object detection
  • 1 篇 collaborative fi...
  • 1 篇 greedy algorithm...
  • 1 篇 reinforcement le...
  • 1 篇 rendering (compu...
  • 1 篇 database systems
  • 1 篇 document-level r...
  • 1 篇 e-learning
  • 1 篇 automatic classi...

机构

  • 16 篇 trusted cloud co...
  • 9 篇 school of comput...
  • 6 篇 school of inform...
  • 6 篇 guangxi key labo...
  • 6 篇 key laboratory o...
  • 5 篇 university of el...
  • 5 篇 key laboratory o...
  • 4 篇 guangxi cooperat...
  • 4 篇 laboratory of in...
  • 3 篇 guangxi key labo...
  • 2 篇 school of inform...
  • 2 篇 department of fu...
  • 2 篇 gansu photoelect...
  • 2 篇 guangxi key labo...
  • 2 篇 jangsu automatio...
  • 2 篇 china electronic...
  • 1 篇 college of compu...
  • 1 篇 guangxi key labo...
  • 1 篇 cloud and smart ...
  • 1 篇 university of el...

作者

  • 6 篇 hao zheng
  • 4 篇 kang zhao
  • 3 篇 gao shangbing
  • 3 篇 wan-li song
  • 3 篇 yang qing
  • 3 篇 tianxi huang
  • 3 篇 guiduo duan
  • 3 篇 zhang jingwei
  • 2 篇 zhang lizong
  • 2 篇 guangchun luo
  • 2 篇 rao zhihong
  • 2 篇 yanqing wang
  • 2 篇 zhang haiyan
  • 2 篇 lu xiao
  • 2 篇 zheng hao
  • 2 篇 chen aiguo
  • 2 篇 liu liang
  • 2 篇 jian yang
  • 2 篇 xu yi
  • 2 篇 ma zhengrui

语言

  • 44 篇 英文
检索条件"机构=Trusted Cloud Computing and Big Data"
44 条 记 录,以下是41-50 订阅
排序:
Exploring deep gradient information for biometric image feature representation
收藏 引用
Neurocomputing 2016年 213卷 162-171页
作者: Jianjun Qian Jian Yang Ying Tai Hao Zheng School of Computer Science and Engineering Nanjing University of Science and Technology China Key Laboratory of Trusted Cloud Computing and Big Data Analysis Nanjing Xiaozhuang University China
This paper presents a novel but simple biometric image feature representation method, called exploring deep gradient information (DGI). DGI first captures the local structure of an image by computing the histogram of ... 详细信息
来源: 评论
Sentiment Analysis of Tourism Micro-blog Comments
Sentiment Analysis of Tourism Micro-blog Comments
收藏 引用
2016 International Conference on Artificial Intelligence: Techniques and Applications(AITA 2016)
作者: Wan-li SONG Jun-hua WANG Key Laboratory of Trusted Cloud Computing and Big Data Analysis School of Information EngineeringNanjing XiaoZhuang University Nanjing Vocational Institute of Transport Technology College of Computer and Information Hohai University
Recent years,an amount of tourism micro-blog comments on the Internet have become an important source of information for potential customers and to improve the service quality. These micro-blog comments do help to res... 详细信息
来源: 评论
Micro-Expression Recognition based on 2D Gabor Filter and Sparse Representation
收藏 引用
Journal of Physics: Conference Series 2017年 第1期787卷
作者: Hao Zheng Key Laboratory of Trusted Cloud Computing and Big Data Analysis School of Information Engineering Nanjing XiaoZhuang University Nanjing China MOE Key Laboratory of Computer Network and Information Integration School of Computer Science and Engineering Southeast University Nanjing China State Key Laboratory for Novel Software Technology Nanjing University Nanjing China
Micro-expression recognition is always a challenging problem for its quick facial expression. This paper proposed a novel method named 2D Gabor filter and Sparse Representation (2DGSR) to deal with the recognition of ...
来源: 评论
Automatic salient object segmentation via shape prior based active contour model
收藏 引用
ICIC Express Letters, Part B: Applications 2016年 第11期7卷 2491-2496页
作者: Gao, Shangbing Zhang, Youdong Zhou, Jun Zheng, Hao The Key Laboratory for Traffic and Transportation Security of Jiangsu Province Faculty of Computer and Software Engineering No. 1 Meicheng Rd. Huai’an223003 China Jiangsu Provincial Key Laboratory for Advanced Manufacturing Technology Huaiyin Institute of Technology No. 1 Meicheng Rd. Huai’an223003 China Key Laboratory of Trusted Cloud Computing and Big Data Analysis Nanjing Xiaozhuang University No. 3601 Hongjing Ave. Jiangning Dist. Nanjing211171 China
In this paper, we propose a novel model for unsupervised segmentation of viewer's attention object from natural images based on localizing region-based active con-tour (LRAC). Firstly, we proposed the saliency det... 详细信息
来源: 评论