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NIPS
1997
15 years 5 months ago
Mapping a Manifold of Perceptual Observations
Nonlinear dimensionality reduction is formulated here as the problem of trying to find a Euclidean feature-space embedding of a set of observations that preserves as closely as p...
Joshua B. Tenenbaum
ICASSP
2010
IEEE
15 years 4 months ago
A novel estimation of feature-space MLLR for full-covariance models
In this paper we present a novel approach for estimating featurespace maximum likelihood linear regression (fMLLR) transforms for full-covariance Gaussian models by directly maxim...
Arnab Ghoshal, Daniel Povey, Mohit Agarwal, Pinar ...
118
Voted
EOR
2007
101views more  EOR 2007»
15 years 3 months ago
Comprehensible credit scoring models using rule extraction from support vector machines
In recent years, Support Vector Machines (SVMs) were successfully applied to a wide range of applications. Their good performance is achieved by an implicit non-linear transformat...
David Martens, Bart Baesens, Tony Van Gestel, Jan ...
PRL
2006
308views more  PRL 2006»
15 years 3 months ago
Image reconstruction from a complete set of similarity invariants extracted from complex moments
Various types of moments have been used to recognize image patterns in a number of applications. However, only few works have paid attention to the completeness property of the in...
Faouzi Ghorbel, Stéphane Derrode, Rim Mezho...
ISVC
2010
Springer
15 years 2 months ago
Robust Rigid Shape Registration Method Using a Level Set Formulation
Abstract. This paper presents a fast algorithm for robust registration of shapes implicitly represented by signed distance functions(SDF). The proposed algorithm aims to recover th...
Muayed S. Al-Huseiny, Sasan Mahmoodi, Mark S. Nixo...