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» Support Vector Machines for 3D Object Recognition
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BMCBI
2007
144views more  BMCBI 2007»
14 years 9 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...
TIFS
2010
143views more  TIFS 2010»
14 years 4 months ago
Face verification across age progression using discriminative methods
Face verification in the presence of age progression is an important problem that has not been widely addressed. In this paper, we study the problem by designing and evaluating dis...
Haibin Ling, Stefano Soatto, Narayanan Ramanathan,...
ICCV
2001
IEEE
15 years 11 months ago
Shape Deformation: SVM Regression and Application to Medical Image Segmentation
This paper presents a novel landmark-based shape deformation method. This method effectively solves two problems inherent in landmark-based shape deformation: (a) identification o...
Song Wang, Weiyu Zhu, Zhi-Pei Liang
ICRA
2008
IEEE
229views Robotics» more  ICRA 2008»
15 years 4 months ago
Learning of moving cast shadows for dynamic environments
Abstract— We propose a novel online framework for detecting moving shadows in video sequences using statistical learning techniques. In this framework, Support Vector Machines ar...
Ajay J. Joshi, Nikolaos Papanikolopoulos
ICDM
2006
IEEE
119views Data Mining» more  ICDM 2006»
15 years 3 months ago
Fast On-line Kernel Learning for Trees
Kernel methods have been shown to be very effective for applications requiring the modeling of structured objects. However kernels for structures usually are too computational dem...
Fabio Aiolli, Giovanni Da San Martino, Alessandro ...