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» Disease Modeling Using Evolved Discriminate Function
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CVPR
2006
IEEE
14 years 9 months ago
Principled Hybrids of Generative and Discriminative Models
When labelled training data is plentiful, discriminative techniques are widely used since they give excellent generalization performance. However, for large-scale applications suc...
Julia A. Lasserre, Christopher M. Bishop, Thomas P...
PAMI
1998
131views more  PAMI 1998»
13 years 7 months ago
Characterization of Neuropathological Shape Deformations
—We present a framework for analyzing the shape deformation of structures within the human brain. A mathematical model is developed describing the deformation of any brain struct...
John Martin, Alex Pentland, Stan Sclaroff, Ron Kik...
VIS
2004
IEEE
156views Visualization» more  VIS 2004»
14 years 8 months ago
Force-Feedback-Enhanced Navigation for Interactive Visualization of Coronary Vessels
Coronary heart disease (CHD) is the number one killer in the United States. Although it is well known that CHD mainly occurs due to blocked arteries, there are contradictory resul...
Thomas Wischgoll, Elke Moritz, Jörg Meyer
GECCO
2007
Springer
532views Optimization» more  GECCO 2007»
14 years 1 months ago
Evolving evolutionary algorithms using evolutionary algorithms
A new model for automatic generation of Evolutionary Algorithms (EAs) by evolutionary means is proposed in this paper. The model is based on a simple Genetic Algorithm (GA). Every...
Laura Diosan, Mihai Oltean
BMCBI
2007
130views more  BMCBI 2007»
13 years 7 months ago
HMM-ModE - Improved classification using profile hidden Markov models by optimising the discrimination threshold and modifying e
Background: Profile Hidden Markov Models (HMM) are statistical representations of protein families derived from patterns of sequence conservation in multiple alignments and have b...
Prashant K. Srivastava, Dhwani K. Desai, Soumyadee...