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» Evaluating Usefulness for Dynamic Classification
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BIBM
2009
IEEE
192views Bioinformatics» more  BIBM 2009»
15 years 10 months ago
A Multi-task Feature Selection Filter for Microarray Classification
A major challenge in microarray classification and biomarker discovery is dealing with small-sample high-dimensional data where the number of genes used as features is typically o...
Liang Lan, Slobodan Vucetic
127
Voted
SEMWEB
2010
Springer
15 years 1 months ago
Optimising Ontology Classification
Abstract. Ontology classification--the computation of subsumption hierarchies for classes and properties--is one of the most important tasks for OWL reasoners. Based on the algorit...
Birte Glimm, Ian Horrocks, Boris Motik, Giorgos St...
132
Voted
MVA
1996
109views Computer Vision» more  MVA 1996»
15 years 4 months ago
Image Features Based on a Mixed Fractal Model and Evaluation of Their Effectiveness in Image Retrieval
Many research works on content-based image retrieval have made use of image features. On the other hand, many kinds of image features have also been developed in the research fiel...
Toshinori Hayashi, Yuzuru Tanaka
136
Voted
ICPR
2006
IEEE
16 years 4 months ago
Boosted Band Ratio Feature Selection for Hyperspectral Image Classification
Band ratios have many useful applications in hyperspectral image analysis. While optimal ratios have been chosen empirically in previous research, we propose a principled algorith...
Antonio Robles-Kelly, Nianjun Liu, Terry Caelli, Z...
137
Voted
AUSAI
2009
Springer
15 years 7 months ago
Classification of EEG for Affect Recognition: An Adaptive Approach
Research on affective computing is growing rapidly and new applications are being developed more frequently. They use information about the affective/mental states of users to adap...
Omar AlZoubi, Rafael A. Calvo, Ronald H. Stevens