69 search results - page 10 / 14 » Unsupervised Feature Selection in High Dimensional Spaces an... |
IJCNN
2007
IEEE
15 years 3 months ago
2007
IEEE
— Although AdaBoost has achieved great success, it still suffers from following problems: (1) the training process could be unmanageable when the number of features is extremely ...
111
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ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
Graph data such as chemical compounds and XML documents are getting more common in many application domains. A main difficulty of graph data processing lies in the intrinsic high ...
102
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CIRA
2007
IEEE
15 years 3 months ago
2007
IEEE
Abstract—In classical image classification approaches, lowlevel features have been used. But the high dimensionality of feature spaces poses a challenge in terms of feature selec...
CVPR
2001
IEEE
15 years 11 months ago
2001
IEEE
Modeling subspaces of a distribution of interest in high dimensional spaces is a challenging problem in pattern analysis. In this paper, we present a novel framework for pose inva...
131
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IJCV
2006
14 years 9 months ago
2006
Subspacefacerecognitionoftensuffersfromtwoproblems:(1)thetrainingsamplesetissmallcompared with the high dimensional feature vector; (2) the performance is sensitive to the subspace...