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ICASSP
2011
IEEE
12 years 11 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
ICASSP
2011
IEEE
12 years 11 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
CORR
2011
Springer
196views Education» more  CORR 2011»
12 years 11 months ago
A Gentle Introduction to the Kernel Distance
Jeff M. Phillips, Suresh Venkatasubramanian
KES
2007
Springer
14 years 1 months ago
Inductive Concept Retrieval and Query Answering with Semantic Knowledge Bases Through Kernel Methods
This work deals with the application of kernel methods to structured relational settings such as semantic knowledge bases expressed in Description Logics. Our method integrates a n...
Nicola Fanizzi, Claudia d'Amato