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ICASSP
2010
IEEE
15 years 6 months ago
Exponentially embedded families for multimodal sensor processing
The exponential embedding of two or more probability density functions (PDFs) is proposed for multimodal sensor processing. It approximates the unknown PDF by exponentially embedd...
Steven Kay, Quan Ding
ML
2006
ACM
132views Machine Learning» more  ML 2006»
15 years 6 months ago
A suffix tree approach to anti-spam email filtering
We present an approach to email filtering based on the suffix tree data structure. A method for the scoring of emails using the suffix tree is developed and a number of scoring and...
Rajesh Pampapathi, Boris Mirkin, Mark Levene
JC
2000
78views more  JC 2000»
15 years 6 months ago
Finding at Least One Point in Each Connected Component of a Real Algebraic Set Defined by a Single Equation
Deciding efficiently the emptiness of a real algebraic set defined by a single equation is a fundamental problem of computational real algebraic geometry. We propose an algorithm ...
Fabrice Rouillier, Marie-Françoise Roy, Moh...
JMLR
2010
115views more  JMLR 2010»
15 years 1 months ago
Fast and Scalable Local Kernel Machines
A computationally efficient approach to local learning with kernel methods is presented. The Fast Local Kernel Support Vector Machine (FaLK-SVM) trains a set of local SVMs on redu...
Nicola Segata, Enrico Blanzieri
JMLR
2010
130views more  JMLR 2010»
15 years 1 months ago
A Regularization Approach to Nonlinear Variable Selection
In this paper we consider a regularization approach to variable selection when the regression function depends nonlinearly on a few input variables. The proposed method is based o...
Lorenzo Rosasco, Matteo Santoro, Sofia Mosci, Ales...