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IJCNN
2006
IEEE
13 years 10 months ago
Common Subset Selection of Inputs in Multiresponse Regression
— We propose the Multiresponse Sparse Regression algorithm, an input selection method for the purpose of estimating several response variables. It is a forward selection procedur...
Timo Similä, Jarkko Tikka
ICANN
2005
Springer
13 years 10 months ago
Multiresponse Sparse Regression with Application to Multidimensional Scaling
Sparse regression is the problem of selecting a parsimonious subset of all available regressors for an efficient prediction of a target variable. We consider a general setting in w...
Timo Similä, Jarkko Tikka
PREMI
2011
Springer
12 years 7 months ago
Feature Set Selection for On-Line Signatures Using Selection of Regression Variables
Abstract. In this paper we approach feature set selection phase in signature verification by applying the method for selection of regression variables based on Mallows Cp criterio...
Desislava Boyadzieva, Georgi Gluhchev
ICASSP
2011
IEEE
12 years 8 months ago
Classifier subset selection and fusion for speaker verification
State-of-the-art speaker verification systems consists of a number of complementary subsystems whose outputs are fused, to arrive at more accurate and reliable verification deci...
Filip Sedlak, Tomi Kinnunen, Ville Hautamäki,...