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» Robust Principal Component Analysis for Computer Vision
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CVPR
2009
IEEE
13 years 11 months ago
Nonlinear Nonnegative Component Analysis
In this paper general solutions for Nonlinear Nonnegative Component Analysis for data representation and recognition are proposed. That is, motivated by a combination of the Nonne...
Stefanos Zafeiriou, Maria Petrou
CVPR
2005
IEEE
14 years 9 months ago
Multilinear Independent Components Analysis
Independent Components Analysis (ICA) maximizes the statistical independence of the representational components of a training image ensemble, but it cannot distinguish between the...
M. Alex O. Vasilescu, Demetri Terzopoulos
GRAPHITE
2007
ACM
13 years 11 months ago
Eigentransport for efficient and accurate all-frequency relighting
We present a method for creating a geometry-dependent basis for precomputed radiance transfer. Unlike previous PRT bases, ours is derived from principal component analysis of the ...
Derek Nowrouzezahrai, Patricio D. Simari, Evangelo...
ACII
2011
Springer
12 years 7 months ago
Investigating the Prosody and Voice Quality of Social Signals in Scenario Meetings
Abstract. In this study we propose a methodology to investigate possible prosody and voice quality correlates of social signals, and test-run it on annotated naturalistic recording...
Marcela Charfuelan, Marc Schröder
CVPR
2005
IEEE
14 years 9 months ago
Representational Oriented Component Analysis (ROCA) for Face Recognition with One Sample Image per Training Class
Subspace methods such as PCA, LDA, ICA have become a standard tool to perform visual learning and recognition. In this paper we propose Representational Oriented Component Analysi...
Fernando De la Torre, Ralph Gross, Simon Baker, B....