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» Generalized Discriminant Analysis Using a Kernel Approach
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PR
2010
126views more  PR 2010»
13 years 7 months ago
Discriminability and reliability indexes: Two new measures to enhance multi-image face recognition
In order to handle complex face image variations in face recognition, multi-image face recognition has been proposed, instead of using a single still-imagebased approach. In many ...
Weiwen Zou, Pong C. Yuen
ECCV
2010
Springer
14 years 1 months ago
Kernel Sparse Representation for Image Classification and Face Recognition
Recent research has shown the effectiveness of using sparse coding(Sc) to solve many computer vision problems. Motivated by the fact that kernel trick can capture the nonlinear sim...
IBPRIA
2007
Springer
14 years 3 months ago
Blind Estimation of Motion Blur Parameters for Image Deconvolution
Abstract. This paper describes an approach to estimate the parameters of a motion blur (direction and length) directly form the observed image. The motion blur estimate can then be...
João P. Oliveira, Mário A. T. Figuei...
ICML
2005
IEEE
14 years 9 months ago
Semi-supervised graph clustering: a kernel approach
Semi-supervised clustering algorithms aim to improve clustering results using limited supervision. The supervision is generally given as pairwise constraints; such constraints are...
Brian Kulis, Sugato Basu, Inderjit S. Dhillon, Ray...
BMCBI
2007
144views more  BMCBI 2007»
13 years 8 months ago
Motif kernel generated by genetic programming improves remote homology and fold detection
Background: Protein remote homology detection is a central problem in computational biology. Most recent methods train support vector machines to discriminate between related and ...
Tony Håndstad, Arne J. H. Hestnes, Pål...