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» Linear Regression for Face Recognition
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IJCNN
2007
IEEE
15 years 3 months ago
Multi-Stage Optimal Component Analysis
— Optimal component analysis (OCA) uses a stochastic gradient optimization process to find optimal representations for general criteria and shows good performance in object reco...
Yiming Wu, Xiuwen Liu, Washington Mio
MVA
2007
154views Computer Vision» more  MVA 2007»
14 years 11 months ago
Fisher Non-negative Matrix Factorization with Pairwise Weighting
Non-negative matrix factorization (NMF) is a powerful feature extraction method for finding parts-based, linear representations of non-negative data . Inherently, it is unsupervis...
Xi Li, Kazuhiro Fukui
ICANN
2010
Springer
14 years 10 months ago
A Bilinear Model for Consistent Topographic Representations
Visual recognition faces the difficult problem of recognizing objects despite the multitude of their appearances. Ample neuroscientific evidence shows that the cortex uses a topogr...
Urs Bergmann, Christoph von der Malsburg
IVC
2006
187views more  IVC 2006»
14 years 9 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...
CSCW
2004
ACM
15 years 2 months ago
Predictors of availability in home life context-mediated communication
A number of studies have explored issues of interruption and availability in workplace environments, but few have examined how attitudes toward availability play out in home life....
Kristine S. Nagel, James M. Hudson, Gregory D. Abo...