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TKDE
2011
479views more  TKDE 2011»
13 years 17 days 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
IJPRAI
2000
135views more  IJPRAI 2000»
13 years 5 months ago
Towards Unrestricted Lip Reading
Lip reading provides useful information in speech perception and language understanding, especially when the auditory speech is degraded. However, many current automatic lip readi...
Uwe Meier, Rainer Stiefelhagen, Jie Yang, Alex Wai...
IVC
2006
187views more  IVC 2006»
13 years 5 months ago
Dynamics of facial expression extracted automatically from video
We present a systematic comparison of machine learning methods applied to the problem of fully automatic recognition of facial expressions, including AdaBoost, support vector mach...
Gwen Littlewort, Marian Stewart Bartlett, Ian R. F...
PKDD
2009
Springer
120views Data Mining» more  PKDD 2009»
14 years 5 days 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...
PAMI
2007
154views more  PAMI 2007»
13 years 5 months ago
Graph Embedding and Extensions: A General Framework for Dimensionality Reduction
—Over the past few decades, a large family of algorithms—supervised or unsupervised; stemming from statistics or geometry theory—has been designed to provide different soluti...
Shuicheng Yan, Dong Xu, Benyu Zhang, HongJiang Zha...