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174
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CORR
2012
Springer
225views Education» more  CORR 2012»
13 years 11 months ago
Compressive Principal Component Pursuit
We consider the problem of recovering a target matrix that is a superposition of low-rank and sparse components, from a small set of linear measurements. This problem arises in co...
John Wright, Arvind Ganesh, Kerui Min, Yi Ma
TOG
2012
178views Communications» more  TOG 2012»
13 years 6 months ago
Reconstructing the indirect light field for global illumination
Stochastic techniques for rendering indirect illumination suffer from noise due to the variance in the integrand. In this paper, we describe a general reconstruction technique tha...
Jaakko Lehtinen, Timo Aila, Samuli Laine, Fr&eacut...
120
Voted
AMFG
2003
IEEE
102views Biometrics» more  AMFG 2003»
15 years 9 months ago
PCA-Based Face Recognition in Infrared Imagery: Baseline and Comparative Studies
Techniques for face recognition generally fall into global and local approaches, with the principal component analysis (PCA) being the most prominent global approach. This paper u...
Xin Chen, Patrick J. Flynn, Kevin W. Bowyer
MM
2010
ACM
208views Multimedia» more  MM 2010»
15 years 3 months ago
A new approach to cross-modal multimedia retrieval
The problem of joint modeling the text and image components of multimedia documents is studied. The text component is represented as a sample from a hidden topic model, learned wi...
Nikhil Rasiwasia, Jose Costa Pereira, Emanuele Cov...
ISBI
2004
IEEE
16 years 4 months ago
Robust Unsupervised Tissue Classification in MR Images
A general framework for performing robust, unsupervised tissue classification in magnetic resonance images is presented. Tissue classification is formulated as an estimation probl...
Dzung L. Pham, Jerry L. Prince