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» Comparing distributions and shapes using the kernel distance
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ICASSP
2011
IEEE
14 years 1 months ago
Probabilistic distance SVM with Hellinger-Exponential Kernel for sound event classification
This paper presents a novel method for sound event classification based on probabilistic distance SVM. The basic idea is to embed probabilistic distances into classical SVM to cl...
Tran Huy Dat, Haizhou Li
CATA
2004
14 years 10 months ago
Angular Histograms for Shape Retrieval
Distance histograms have been used for Shape Representation and Retrieval [1][2]. In this paper, we have proposed the use of angular histograms for shape representation. We have im...
Atul Sajjanhar, Guojun Lu, Dengsheng Zhang
ICASSP
2011
IEEE
14 years 1 months ago
A kernelized maximal-figure-of-merit learning approach based on subspace distance minimization
We propose a kernelized maximal-figure-of-merit (MFoM) learning approach to efficiently training a nonlinear model using subspace distance minimization. In particular, a fixed,...
Byungki Byun, Chin-Hui Lee
CGF
2010
111views more  CGF 2010»
14 years 9 months ago
One Point Isometric Matching with the Heat Kernel
A common operation in many geometry processing algorithms consists of finding correspondences between pairs of shapes by finding structure-preserving maps between them. A particul...
Maks Ovsjanikov, Quentin Mérigot, Facundo M...
ICPR
2002
IEEE
15 years 2 months ago
Tangent Distance Kernels for Support Vector Machines
When dealing with pattern recognition problems one encounters different types of a-priori knowledge. It is important to incorporate such knowledge into the classification method ...
Bernard Haasdonk, Daniel Keysers