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ICPR
2004
IEEE
16 years 7 months ago
A Consistency-Based Model Selection for One-Class Classification
Model selection in unsupervised learning is a hard problem. In this paper a simple selection criterion for hyperparameters in one-class classifiers (OCCs) is proposed. It makes us...
David M. J. Tax, Klaus-Robert Müller
ICPR
2000
IEEE
16 years 7 months ago
Unsupervised Selection and Estimation of Finite Mixture Models
We propose a new method for fitting mixture models that performs component selection and does not require external initialization. The novelty of our approach includes: a minimum ...
Anil K. Jain, Mário A. T. Figueiredo
IEEESCC
2009
IEEE
16 years 29 days ago
A Backwards Composition Context Based Service Selection Approach for Service Composition
Abstract—In SOA applications are built from individual services offered by different providers. Typically an application comprises of several such services usually stemming from ...
HongQing Yu, Stephan Reiff-Marganiec
ICANN
2009
Springer
16 years 27 days ago
Selective Attention Improves Learning
Abstract. We demonstrate that selective attention can improve learning. Considerably fewer samples are needed to learn a source separation problem when the inputs are pre-segmented...
Antti Yli-Krekola, Jaakko Särelä, Harri ...
ACIVS
2008
Springer
16 years 20 days ago
Fuzzy Rule Iterative Feature Selection (FRIFS) with Respect to the Choquet Integral Apply to Fabric Defect Recognition
An iterative method to select suitable features in an industrial fabric defect recognition context is proposed in this paper. It combines a global feature selection method based on...
Emmanuel Schmitt, Vincent Bombardier, Laurent Wend...