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» Segmentation of medical images using a genetic algorithm
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340
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CVPR
2012
IEEE
13 years 9 months ago
A tiered move-making algorithm for general pairwise MRFs
A large number of problems in computer vision can be modeled as energy minimization problems in a markov random field (MRF) framework. Many methods have been developed over the y...
Vibhav Vineet, Jonathan Warrell, Philip H. S. Torr
VISUALIZATION
2005
IEEE
16 years 19 days ago
Statistically Quantitative Volume Visualization
Visualization users are increasingly in need of techniques for assessing quantitative uncertainty and error in the images produced. Statistical segmentation algorithms compute the...
Joe Michael Kniss, Robert L. Van Uitert Jr., Abrah...
ICDAR
2005
IEEE
16 years 20 days ago
A Statistical Learning Approach To Document Image Analysis
In the field of computer analysis of document images, the problems of physical and logical layout analysis have been approached through a variety of heuristic, rule-based, and gr...
Kevin Laven, Scott Leishman, Sam T. Roweis
GECCO
2005
Springer
149views Optimization» more  GECCO 2005»
16 years 18 days ago
There's more to a model than code: understanding and formalizing in silico modeling experience
Mapping biology into computation has both a domain specific aspect – biological theory – and a methodological aspect – model development. Computational modelers have implici...
Janet Wiles, Nicholas Geard, James Watson, Kai Wil...
168
Voted
MVA
2000
122views Computer Vision» more  MVA 2000»
15 years 8 months ago
Unsupervised Classification of X-Ray Mapping Images of Polished Sections
X-ray mapping images of polished sections are classified using two unsupervised clustering algorithms. The methods applied are the k-means algorithm and an extended spectral fuzzy...
Klaus Baggesen Hilger, Allan Aasbjerg Nielsen, Jen...