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» Graph model selection using maximum likelihood
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SETN
2004
Springer
14 years 2 months ago
Incremental Mixture Learning for Clustering Discrete Data
Abstract. This paper elaborates on an efficient approach for clustering discrete data by incrementally building multinomial mixture models through likelihood maximization using the...
Konstantinos Blekas, Aristidis Likas
TSD
2004
Springer
14 years 2 months ago
A Speaker Clustering Algorithm for Fast Speaker Adaptation in Continuous Speech Recognition
In this paper a speaker adaptation methodology is proposed, which first automatically determines a number of speaker clusters in the training material, then estimates the paramete...
Luis Javier Rodríguez, Inés Torres
BMCBI
2011
13 years 3 months ago
Multiclass classification of microarray data samples with a reduced number of genes
Background: Multiclass classification of microarray data samples with a reduced number of genes is a rich and challenging problem in Bioinformatics research. The problem gets hard...
Elizabeth Tapia, Leonardo Ornella, Pilar Bulacio, ...
PAMI
2012
11 years 11 months ago
CPMC: Automatic Object Segmentation Using Constrained Parametric Min-Cuts
—We present a novel framework to generate and rank plausible hypotheses for the spatial extent of objects in images using bottom-up computational processes and mid-level selectio...
João Carreira, Cristian Sminchisescu
ICIP
1998
IEEE
14 years 10 months ago
Adaptive Restoration of Speckled SAR Images using a Compound Random Markov Field
This paper proposes a restoration scheme for noisy images generated by coherent imaging systems (e.g., synthetic aperture radar, synthetic aperture sonar, ultrasound imaging, and ...
José M. B. Dias, José M. N. Leit&ati...