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» Dirichlet Process Mixtures of Generalized Linear Models
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PAKDD
2007
ACM
152views Data Mining» more  PAKDD 2007»
15 years 9 months ago
Spectral Clustering Based Null Space Linear Discriminant Analysis (SNLDA)
While null space based linear discriminant analysis (NLDA) obtains a good discriminant performance, the ability easily suffers from an implicit assumption of Gaussian model with sa...
Wenxin Yang, Junping Zhang
WWW
2009
ACM
16 years 4 months ago
General auction mechanism for search advertising
In sponsored search, a number of advertising slots is available on a search results page, and have to be allocated among a set of advertisers competing to display an ad on the pag...
Dávid Pál, Gagan Aggarwal, Martin P&...
ESANN
2004
15 years 5 months ago
Separability of analytic postnonlinear blind source separation with bounded sources
The aim of blind source separation (BSS) is to transform a mixed random vector such that the original sources are recovered. If the sources are assumed to be statistically independ...
Fabian J. Theis, Peter Gruber
137
Voted
ICASSP
2011
IEEE
14 years 7 months ago
Phoneme selective speech enhancement using the generalized parametric spectral subtraction estimator
In this study, the generalized parametric spectral subtraction estimator is employed in the context of a ROVER speech enhancement framework to develop a robust phoneme class selec...
Amit Das, John H. L. Hansen
144
Voted
QRE
2008
140views more  QRE 2008»
15 years 3 months ago
Discrete mixtures of kernels for Kriging-based optimization
: Kriging-based exploration strategies often rely on a single Ordinary Kriging model which parametric covariance kernel is selected a priori or on the basis of an initial data set....
David Ginsbourger, Céline Helbert, Laurent ...