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AMFG
2005
IEEE
203views Biometrics» more  AMFG 2005»
15 years 8 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
195
Voted
BMCBI
2006
198views more  BMCBI 2006»
15 years 2 months ago
Gene selection and classification of microarray data using random forest
Background: Selection of relevant genes for sample classification is a common task in most gene expression studies, where researchers try to identify the smallest possible set of ...
Ramón Díaz-Uriarte, Sara Alvarez de ...
CLEF
2006
Springer
15 years 6 months ago
TALP at GeoCLEF 2006: Experiments Using JIRS and Lucene with the ADL Feature Type Thesaurus
This paper describes our experiments in Geographical Information Retrieval (GIR) in the context of our participation in the GeoCLEF 2006 Monolingual English task. The TALPGeoIR sy...
Daniel Ferrés, Horacio Rodríguez
OOPSLA
2001
Springer
15 years 7 months ago
Regression Test Selection for Java Software
Regression testing is applied to modified software to provide confidence that the changed parts behave as intended and that the unchanged parts have not been adversely affected ...
Mary Jean Harrold, James A. Jones, Tongyu Li, Dong...
140
Voted
BMCBI
2006
146views more  BMCBI 2006»
15 years 2 months ago
Recursive gene selection based on maximum margin criterion: a comparison with SVM-RFE
Background: In class prediction problems using microarray data, gene selection is essential to improve the prediction accuracy and to identify potential marker genes for a disease...
Satoshi Niijima, Satoru Kuhara