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SDM
2012
SIAM
216views Data Mining» more  SDM 2012»
13 years 9 months ago
Feature Selection "Tomography" - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable
:  Feature Selection “Tomography” - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable George Forman HP Laboratories HPL-2010-19R1 Feature selection; ...
George Forman

Lab
1627views
17 years 8 months ago
CVIP Lab
The Computer Vision and Image Processing Laboratory (CVIP Lab) was established in 1994 at the University of Louisville and is committed to excellence in research, teaching and trai...

Book
2911views
17 years 5 months ago
Shape Analysis and Classification: Theory and Practice
"Advances in shape analysis impact a wide range of disciplines, from mathematics and engineering to medicine, archeology, and art. Anyone just entering the field, however, may...
Roberto M. Cesar Jr

Book
5396views
17 years 5 months ago
Markov Random Field Modeling in Computer Vision
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
Stan Z. Li
CVPR
2009
IEEE
2452views Computer Vision» more  CVPR 2009»
17 years 2 months ago
CHoG: Compressed Histogram of Gradients: A Low Bit-Rate Feature Descriptor
Establishing visual correspondences is an essential component of many computer vision problems, and is often done with robust, local feature-descriptors. Transmission and storag...
Vijay Chandrasekhar (Stanford University), Gabriel...
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