中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
软件研究所 [2]
遥感与数字地球研究所 [1]
自动化研究所 [1]
烟台海岸带研究所 [1]
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OAI收割 [5]
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会议论文 [3]
期刊论文 [2]
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2012 [1]
2011 [1]
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2005 [1]
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Computer S... [1]
摄影测量与遥感 [1]
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Ethnicity classification based on fusion of face and gait
会议论文
OAI收割
New Delhi, India, March 29 – April 1 2012
作者:
De Zhang
;
Yunhong Wang
;
Zhaoxiang Zhang
;
Maodi Hu
  |  
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2017/02/09
Face
Feature Extraction
Databases
Support Vector Machines
Cameras
Vectors
Legged Locomotion
a fuzzy support vector machine algorithm with dual membership based on hypersphere
期刊论文
OAI收割
Journal of Computational Information Systems, 2011, 卷号: 7, 期号: 6, 页码: 2028-2034
Ding Shifei
;
Gu Yaxiang
  |  
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2013/10/08
Algorithms
Statistics
Support vector machines
Vectors
Support Vector Machine based classification analysis of SARS spatial distribution
会议论文
OAI收割
2010 6th International Conference on Natural Computation, ICNC'10,, Yantai, Shandong, China, August 10, 2010 - August 12,2010
Hu, Bisong
;
Gong, Jianhua
收藏
  |  
浏览/下载:35/0
  |  
提交时间:2014/12/07
Cluster analysis
Classification (of information)
Data handling
Diagnosis
Diseases
Epidemiology
Natural language processing systems
Support vector machines
Vectors
Data-oriented composite kernel-based support vector machine for image classification
会议论文
OAI收割
2009-05-25
Tang,Jiakui
;
Zhang,Xianfeng
;
Chen,Xiuwan
;
Zhang,Jie
;
Wen,Xiaohu
;
Zhang,Zhidong
;
Wang,De
  |  
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2011/07/22
Image Analysis - Image Classification - Image Reconstruction - Image Retrieval - Multilayer Neural Networks - Observatories - Remote Sensing - Support Vector Machines - Text Processing - Vectors
theoretically optimal parameter choices for support vector regression machines with noisy input
期刊论文
OAI收割
SOFT COMPUTING, 2005, 卷号: 9, 期号: 10, 页码: 732-741
Wang ST
;
Zhu JG
;
Chung FL
;
Lin Q
;
Hu DW
  |  
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2011/07/28
复合事件,检测regularized linear regression
support vectors
Huber loss functions
norm-r loss functions