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AMFG
2005
IEEE
203views Biometrics» more  AMFG 2005»
13 years 11 months ago
Learning to Fuse 3D+2D Based Face Recognition at Both Feature and Decision Levels
2D intensity images and 3D shape models are both useful for face recognition, but in different ways. While algorithms have long been developed using 2D or 3D data, recently has see...
Stan Z. Li, ChunShui Zhao, Meng Ao, Zhen Lei
COSIT
2001
Springer
139views GIS» more  COSIT 2001»
13 years 9 months ago
Two Path Prepositions: Along and Past
Abstract. We present results from a series of experiments, where relevant factors for the use of path prepositions were examined. We were especially interested in the concepts behi...
Christian Kray, Jörg Baus, Hubert D. Zimmer, ...
GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
13 years 9 months ago
Controlling overfitting with multi-objective support vector machines
Recently, evolutionary computation has been successfully integrated into statistical learning methods. A Support Vector Machine (SVM) using evolution strategies for its optimizati...
Ingo Mierswa
BMCBI
2010
151views more  BMCBI 2010»
13 years 5 months ago
Misty Mountain clustering: application to fast unsupervised flow cytometry gating
Background: There are many important clustering questions in computational biology for which no satisfactory method exists. Automated clustering algorithms, when applied to large,...
István P. Sugár, Stuart C. Sealfon
TMI
2002
191views more  TMI 2002»
13 years 4 months ago
Automatic Detection of Abnormalities in Chest Radiographs Using Local Texture Analysis
A fully automatic method is presented to detect abnormalities in frontal chest radiographs which are aggregated into an overall abnormality score. The method is aimed at finding ab...
Bram van Ginneken, Shigehiko Katsuragawa, Bart M. ...