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ICML
2009
IEEE
14 years 9 months ago
Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
There has been much interest in unsupervised learning of hierarchical generative models such as deep belief networks. Scaling such models to full-sized, high-dimensional images re...
Honglak Lee, Roger Grosse, Rajesh Ranganath, Andre...
ICASSP
2007
IEEE
14 years 25 days ago
Texture Classification by using Advanced Local Binary Patterns and Spatial Distribution of Dominant Patterns
In this paper, we propose a new feature extraction method, which is robust against rotation and histogram equalization for texture classification. To this end, we introduce the co...
Shu Liao, Albert C. S. Chung
CVPR
2011
IEEE
13 years 5 months ago
On Deep Generative Models with Applications to Recognition
The most popular way to use probabilistic models in vision is first to extract some descriptors of small image patches or object parts using well-engineered features, and then to...
Marc', Aurelio Ranzato, Joshua Susskind, Volodymyr...
USENIX
2008
13 years 11 months ago
Fast, Inexpensive Content-Addressed Storage in Foundation
Foundation is a preservation system for users' personal, digital artifacts. Foundation preserves all of a user's data and its dependencies--fonts, programs, plugins, ker...
Sean C. Rhea, Russ Cox, Alex Pesterev
ACCV
2007
Springer
14 years 3 months ago
Simultaneous Appearance Modeling and Segmentation for Matching People Under Occlusion
We describe an approach to segmenting foreground regions corresponding to a group of people into individual humans. Given background subtraction and ground plane homography, hierar...
Zhe Lin, Larry S. Davis, David S. Doermann, Daniel...