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PKDD
2009
Springer
120views Data Mining» more  PKDD 2009»
14 years 2 months ago
Variational Graph Embedding for Globally and Locally Consistent Feature Extraction
Existing feature extraction methods explore either global statistical or local geometric information underlying the data. In this paper, we propose a general framework to learn fea...
Shuang-Hong Yang, Hongyuan Zha, Shaohua Kevin Zhou...
TKDE
2011
479views more  TKDE 2011»
13 years 2 months ago
Learning Semi-Riemannian Metrics for Semisupervised Feature Extraction
—Discriminant feature extraction plays a central role in pattern recognition and classification. Linear Discriminant Analysis (LDA) is a traditional algorithm for supervised feat...
Wei Zhang, Zhouchen Lin, Xiaoou Tang
CVPR
2007
IEEE
14 years 9 months ago
Using Segmentation to Verify Object Hypotheses
We present an approach for object recognition that combines detection and segmentation within a efficient hypothesize/test framework. Scanning-window template classifiers are the ...
Deva Ramanan
ICMCS
2005
IEEE
161views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Gender identification using frontal facial images
Computer vision and pattern recognition systems play an important role in our lives by means of automated face detection, face and gesture recognition, and estimation of gender an...
Amit Jain, Jeffrey Huang, Shiaofen Fang
FUZZIEEE
2007
IEEE
14 years 2 months ago
Tolerance-based and Fuzzy-Rough Feature Selection
— One of the main obstacles facing the application of computational intelligence technologies in pattern recognition (and indeed in many other tasks) is that of dataset dimension...
Richard Jensen, Qiang Shen