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ICDAR
2003
IEEE
15 years 9 months ago
Optimizing the Number of States, Training Iterations and Gaussians in an HMM-based Handwritten Word Recognizer
In off-line handwriting recognition, classifiers based on hidden Markov models (HMMs) have become very popular. However, while there exist well-established training algorithms, s...
Simon Günter, Horst Bunke
BMCBI
2005
140views more  BMCBI 2005»
15 years 4 months ago
Dissecting systems-wide data using mixture models: application to identify affected cellular processes
Background: Functional analysis of data from genome-scale experiments, such as microarrays, requires an extensive selection of differentially expressed genes. Under many condition...
J. Peter Svensson, Renée X. de Menezes, Ing...
TSP
2008
154views more  TSP 2008»
15 years 4 months ago
Bayesian Inference for Linear Dynamic Models With Dirichlet Process Mixtures
Francois Caron, Manuel Davy, Arnaud Doucet, Emmanu...
JMIV
2010
87views more  JMIV 2010»
15 years 2 months ago
Spatially Varying Mixtures Incorporating Line Processes for Image Segmentation
Giorgos Sfikas, Christophoros Nikou, Nikolas P. Ga...
ICDM
2008
IEEE
193views Data Mining» more  ICDM 2008»
15 years 11 months ago
Multiplicative Mixture Models for Overlapping Clustering
The problem of overlapping clustering, where a point is allowed to belong to multiple clusters, is becoming increasingly important in a variety of applications. In this paper, we ...
Qiang Fu, Arindam Banerjee