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» Mercer Kernels for Object Recognition with Local Features
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ICDM
2007
IEEE
129views Data Mining» more  ICDM 2007»
15 years 6 months ago
Feature Selection for Nonlinear Kernel Support Vector Machines
An easily implementable mixed-integer algorithm is proposed that generates a nonlinear kernel support vector machine (SVM) classifier with reduced input space features. A single ...
Olvi L. Mangasarian, Gang Kou
ICIP
2005
IEEE
16 years 6 months ago
Local manifold matching for face recognition
In this paper, we propose a novel classification method, called local manifold matching (LMM), for face recognition. LMM has great representational capacity of available prototypes...
Wei Liu, Wei Fan, Yunhong Wang, Tieniu Tan
ICPR
2008
IEEE
16 years 5 months ago
Multiple view based 3D object classification using ensemble learning of local subspaces
Multiple observation improves the performance of 3D object classification. However, since the distribution of feature vectors obtained from multiple view points have strong nonlin...
Jianing Wu, Kazuhiro Fukui
CCIA
2007
Springer
15 years 10 months ago
An Evaluation of an Object Recognition Schema Using Multiple Region Detectors
Abstract. Robust object recognition is one of the most challenging topics in computer vision. In the last years promising results have been obtained using local regions and descrip...
Meritxell Vinyals, Arnau Ramisa, Ricardo Toledo
CVPR
2011
IEEE
14 years 11 months ago
Deformation and Illumination Invariant Feature Point Descriptor
Recent advances in 3D shape recognition have shown that kernels based on diffusion geometry can be effectively used to describe local features of deforming surfaces. In this paper...
Francesc Moreno (Institut de Robotica i Informatic...