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» A stochastic EM algorithm for a semiparametric mixture model
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ICPR
2004
IEEE
14 years 9 months ago
Bernoulli Mixture Models for Binary Images
Mixture modelling is a hot area in pattern recognition. Although most research in this area has focused on mixtures for continuous data, there are many pattern recognition tasks f...
Alfons Juan, Enrique Vidal
SSPR
2004
Springer
14 years 1 months ago
EM Initialisation for Bernoulli Mixture Learning
Mixture modelling is a hot area in pattern recognition. This paper focuses on the use of Bernoulli mixtures for binary data and, in particular, for binary images. More specificall...
Alfons Juan, José García-Herná...
ICASSP
2010
IEEE
13 years 8 months ago
Sound source separation in monaural music signals using excitation-filter model and em algorithm
This paper proposes a method for separating the signals of individual musical instruments from monaural musical audio. The mixture signal is modeled as a sum of the spectra of ind...
Anssi Klapuri, Tuomas Virtanen, Toni Heittola
ICCV
1999
IEEE
14 years 10 months ago
Unsupervised Image Classification with a Hierarchical EM Algorithm
This work takes place in the context of hierarchical stochastic models for the resolution of discrete inverse problems from low level vision. Some of these models lie on the nodes...
Annabelle Chardin, Patrick Pérez
ICPR
2008
IEEE
14 years 9 months ago
Component-wise parameter smoothing for learning mixture models
In this paper, we propose a novel component-wise smoothing algorithm that constructs a hierarchy (or family) of smoothened log-likelihood surfaces. Our approach first smoothens th...
Bala Rajaratnam, Chandan K. Reddy