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» Evolutionary Computation for Modeling and Optimization
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ICPR
2004
IEEE
16 years 8 months ago
Image Segmentation by Shape Particle Filtering
Statistical appearance models are valuable tools in medical image segmentation. Current methods elegantly incorporate global shape and appearance, but can not cope with local appe...
Mads Nielsen, Marleen de Bruijne
ICML
2005
IEEE
16 years 7 months ago
Expectation maximization algorithms for conditional likelihoods
We introduce an expectation maximizationtype (EM) algorithm for maximum likelihood optimization of conditional densities. It is applicable to hidden variable models where the dist...
Jarkko Salojärvi, Kai Puolamäki, Samuel ...
ICPR
2008
IEEE
16 years 1 months ago
A variational inference based approach for image segmentation
In this paper, we present a variational Bayes (VB) approach for image segmentation. First, image is modeled by a mixture model, and then with the techniques of factor analyzer, th...
Zhenglong Li, Qingshan Liu, Jian Cheng, Hanqing Lu
IPPS
1998
IEEE
15 years 11 months ago
Deterministic Routing of h-relations on the Multibutterfly
In this paper we devise an optimal deterministic algorithm for routing h-relations on-line on an N-input/output multibutterfly. The algorithm, which is obtained by generalizing th...
Andrea Pietracaprina
RECOMB
2010
Springer
15 years 8 months ago
naiveBayesCall: An Efficient Model-Based Base-Calling Algorithm for High-Throughput Sequencing
Immense amounts of raw instrument data (i.e., images of fluorescence) are currently being generated using ultra high-throughput sequencing platforms. An important computational cha...
Wei-Chun Kao, Yun S. Song