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CVPR
2012
IEEE
13 years 7 months ago
Robust Boltzmann Machines for recognition and denoising
While Boltzmann Machines have been successful at unsupervised learning and density modeling of images and speech data, they can be very sensitive to noise in the data. In this pap...
Yichuan Tang, Ruslan Salakhutdinov, Geoffrey E. Hi...
CVPR
2009
IEEE
17 years 11 hour ago
Shape Classification Through Structured Learning of Matching Measures
Many traditional methods for shape classification involve establishing point correspondences between shapes to produce matching scores, which are in turn used as similarity meas...
Longbin Chen, Julian John McAuley, Rogério ...
CVPR
2001
IEEE
16 years 7 months ago
Learning Representative Local Features for Face Detection
This paper describes a face detection approach via learning local features. The key idea is that local features, being manifested by a collection of pixels in a local region, are ...
Xiangrong Chen, Lie Gu, Stan Z. Li, HongJiang Zhan...
CVPR
2001
IEEE
16 years 7 months ago
A Bayesian Approach to Digital Matting
This paper proposes a new Bayesian framework for solving the matting problem, i.e. extracting a foreground element from a background image by estimating an opacity for each pixel ...
Yung-Yu Chuang, Brian Curless, David Salesin, Rich...
CVPR
2001
IEEE
16 years 7 months ago
Alpha Channel Estimation in High Resolution Images and Image Sequences
For Motion Picture Special Effects, it is often necessary to take a source image of an actor, segment the actor from the unwanted background, and then composite over a new backgro...
P. Hillman, John M. Hannah, David S. Renshaw