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» Learning Mixtures of Gaussians
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IDA
2009
Springer
14 years 8 months ago
A Cascade System for Solving Permutation and Gain Problems in Frequency-Domain BSS
Abstract. This paper presents a novel technique for separating convolutive mixtures of statistically independent non-Gaussian signals. The time-domain convolution is transformed in...
Daniel I. Iglesia, Héctor J. Pérez-I...
ICCV
2011
IEEE
13 years 10 months ago
From Learning Models of Natural Image Patches to Whole Image Restoration
Learning good image priors is of utmost importance for the study of vision, computer vision and image processing applications. Learning priors and optimizing over whole images can...
Daniel Zoran, Yair Weiss
NIPS
2000
14 years 12 months ago
Mixtures of Gaussian Processes
We introduce the mixture of Gaussian processes (MGP) model which is useful for applications in which the optimal bandwidth of a map is input dependent. The MGP is derived from the...
Volker Tresp
69
Voted
ICPR
2006
IEEE
15 years 11 months ago
GMM-based SVM for face recognition
A new face recognition algorithm is presented. It supposes that a video sequence of a person is available both at enrollment and test time. During enrollment, a client Gaussian Mi...
Gérard Chollet, Hervé Bredin, Najim ...
100
Voted
ICASSP
2011
IEEE
14 years 2 months ago
A partial least squares framework for speaker recognition
Modern approaches to speaker recognition (verification) operate in a space of “supervectors” created via concatenation of the mean vectors of a Gaussian mixture model (GMM) a...
Balaji Vasan Srinivasan, Dmitry N. Zotkin, Ramani ...