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» Optimal face reconstruction using training
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CVPR
2009
IEEE
1351views Computer Vision» more  CVPR 2009»
16 years 4 months ago
Support Vector Machines in Face Recognition with Occlusions
Support Vector Machines (SVM) are one of the most useful techniques in classification problems. One clear example is face recognition. However, SVM cannot be applied when the fe...
Aleix M. Martínez, Hongjun Jia
JCAM
2011
78views more  JCAM 2011»
14 years 16 days ago
Symmetric box-splines on root lattices
Root lattices are efficient sampling lattices for reconstructing isotropic signals in arbitrary dimensions, due to their highly symmetric structure. One root lattice, the Cartesia...
Minho Kim, Jörg Peters
CA
2002
IEEE
15 years 2 months ago
CoArt: Co-articulation Region Analysis for Control of 2D Characters
A facial analysis-synthesis framework based on a concise set of local, independently actuated, Coarticulation Regions (CR) is presented for the control of 2D animated characters. ...
Douglas Fidaleo, Ulrich Neumann
VMV
2001
101views Visualization» more  VMV 2001»
14 years 11 months ago
Object Localization Using Linear Adaptive Filters
We present a novel approach to localization of objects in clutter images with the use of linear adaptive filters in a two-object classifier: target object versus clutter object. A...
Ben-Zion Shaick, Leonid P. Yaroslavsky
CVPR
2008
IEEE
14 years 9 months ago
Joint learning and dictionary construction for pattern recognition
We propose a joint representation and classification framework that achieves the dual goal of finding the most discriminative sparse overcomplete encoding and optimal classifier p...
Duc-Son Pham, Svetha Venkatesh