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CVPR
1997
IEEE
14 years 2 months ago
Learning bilinear models for two-factor problems in vision
In many vision problems, we want to infer two (or more) hidden factors which interact to produce our observations. We may want to disentangle illuminant and object colors in color...
William T. Freeman, Joshua B. Tenenbaum
CACM
2000
225views more  CACM 2000»
13 years 9 months ago
Complementary Video and Audio Analysis for Broadcast News Archives
The Informedia Digital Video Library system extracts information from digitized video sources and allows full content search and retrieval over all extracted data. This extracted ...
Howard D. Wactlar, Alexander G. Hauptmann, Michael...
ICCV
2009
IEEE
15 years 2 months ago
Subspace Constrained Mean-Shift
Deformable model fitting has been actively pursued in the computer vision community for over a decade. As a result, numerous approaches have been proposed with varying degrees of...
Jason M. Saragih, Simon Lucey, Jeffrey F. Cohn
CVPR
2003
IEEE
14 years 12 months ago
Kullback-Leibler Boosting
In this paper, we develop a general classification framework called Kullback-Leibler Boosting, or KLBoosting. KLBoosting has following properties. First, classification is based o...
Ce Liu, Heung-Yeung Shum
CHI
2008
ACM
14 years 10 months ago
Human-aided computing: utilizing implicit human processing to classify images
In this paper, we present Human-Aided Computing, an approach that uses an electroencephalograph (EEG) device to measure the presence and outcomes of implicit cognitive processing,...
Pradeep Shenoy, Desney S. Tan