机构

• 长春光学精密机械与物... [1]
• 遥感与数字地球研究所 [1]
• 自动化研究所 [1]
• 西安光学精密机械研究... [1]

采集方式

• OAI收割 [4]

内容类型

• 会议论文 [2]
• 学位论文 [1]
• 期刊论文 [1]

发表日期

• 2014 [1]
• 2011 [2]
• 2009 [1]

学科主题

筛选

浏览/检索结果: 共4条，第1-4条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 知识与数据驱动机器学习模型的参数可辨识性理论研究 学位论文  OAI收割 工学博士, 中国科学院自动化研究所: 中国科学院大学, 2014 作者:  冉智勇 收藏  |  浏览/下载：236/0  |  提交时间：2015/09/02 可辨识性  参数冗余  信息论  Kullback_Leibler 散度  最优化理论  辨识函数  identifiability  parameter redundancy  information theory  Kullback-Leibler divergence  optimization theory  identifying function   Spectral Discrimination Method Information Divergence Combined with Gradient Angle 期刊论文  OAI收割 spectroscopy and spectral analysis, 2011, 卷号: 31, 期号: 3, 页码: 853-857 作者:  Zhang Xiu-bao;  Yuan Yan;  Jing Juan-juan;  Sun Cheng-ming;  Wang Qian 收藏  |  浏览/下载：30/0  |  提交时间：2015/09/28 Spectral discrimination method  Information divergence  Gradient angle  Temporally and spatially modulated fourier transform imaging spectrometer   Approach for detecting crowd panic behavior based on fluid kinematic features and entropy (EI CONFERENCE) 会议论文  OAI收割 International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2011, November 19, 2011 - November 23, 2011, Suzhou, China 作者:  Li Y.;  Li Y.;  Li Y.;  Zhang X.;  Zhang X. 收藏  |  浏览/下载：31/0  |  提交时间：2013/03/25 Crowd panic behavior detection is an important task in video analysis and event recognition  whose purpose is to detect when the panic behavior happened and alarming the abnormal event timely. In this paper  the crowd is regard as a fluid  and the crowd motion is described by four fluid kinematic features (divergence  vorticity  gradient tensor invariant and rotation tensor invariant). To discriminate the panic event from normal crowd behavior  an information entropy is calculated as a high level feature based on the fluid kinematic features. Experimental results show that the entropy raised dramatically once a panic event happened.   An Approach to Urban Surface Features Identification Using Pushbroom Hyperspectral Imager 会议论文  OAI收割 2009 Joint Urban Remote Sensing Event, Vols 1-3, New York He, Haixia; Zhang, Bing; Zhang, Hao; Liu, Xue; Li, Ru 收藏  |  浏览/下载：12/0  |  提交时间：2014/12/07 Urban surface features identification  PHI  Spectral information  divergence