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BMCBI
2011
13 years 3 months ago
Phenotype Recognition with Combined Features and Random Subspace Classifier Ensemble
Background: Automated, image based high-content screening is a fundamental tool for discovery in biological science. Modern robotic fluorescence microscopes are able to capture th...
Bailing Zhang, Tuan D. Pham
VLDB
2004
ACM
106views Database» more  VLDB 2004»
14 years 2 months ago
Structures, Semantics and Statistics
At a fundamental level, the key challenge in data integration is to reconcile the semantics of disparate data sets, each expressed with a different database structure. I argue th...
Alon Y. Halevy
FLAIRS
2004
13 years 10 months ago
Iterative Improvement of Neural Classifiers
A new objective function for neural net classifier design is presented, which has more free parameters than the classical objective function. An iterative minimization technique f...
Jiang Li, Michael T. Manry, Li-min Liu, Changhua Y...
GECCO
2003
Springer
110views Optimization» more  GECCO 2003»
14 years 2 months ago
Evolutionary Multiobjective Optimization for Generating an Ensemble of Fuzzy Rule-Based Classifiers
One advantage of evolutionary multiobjective optimization (EMO) algorithms over classical approaches is that many non-dominated solutions can be simultaneously obtained by their si...
Hisao Ishibuchi, Takashi Yamamoto
ICIP
2006
IEEE
14 years 10 months ago
A Partition Constrained Minimization Scheme for Efficient Multiphase Level Set Image Segmentation
This study investigates a new multiphase minimization scheme which embeds a simple, efficient partition constraint directly in multiple level set evolution. Starting from an arbit...
Ismail Ben Ayed, Amar Mitiche