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» Advances in Feature Selection with Mutual Information
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CIBCB
2005
IEEE
15 years 3 months ago
Two-Phase EA/k-NN for Feature Selection and Classification in Cancer Microarray Datasets
Efficient and reliable methods that can find a small sample of informative genes amongst thousands are of great importance. In this area, much research is investigating the combina...
Thorhildur Juliusdottir, David Corne, Ed Keedwell,...
SPEECH
2011
14 years 4 months ago
Discrimination of speech from nonspeeech in broadcast news based on modulation frequency features
We describe a content based speech discrimination algorithm in broadcast news based on the time-varying information provided by the modulation spectrum. Due to the varying degrees...
Maria E. Markaki, Yannis Stylianou
ESANN
2007
14 years 11 months ago
Agglomerative Independent Variable Group Analysis
Independent Variable Group Analysis (IVGA) is a method for grouping dependent variables together while keeping mutually independent or weakly dependent variables in separate group...
Antti Honkela, Jeremias Seppä, Esa Alhoniemi
CVPR
2011
IEEE
14 years 5 months ago
Coupled Information-Theoretic Encoding for Face Photo-Sketch Recognition
Automatic face photo-sketch recognition has important applications to law enforcement. Recent research has focused on transforming photos and sketches into the same modality for m...
Wei Zhang, Xiaogang Wang, Xiaoou Tang
IVC
2006
259views more  IVC 2006»
14 years 9 months ago
Object detection using spatial histogram features
In this paper, we propose an object detection approach using spatial histogram features. As spatial histograms consist of marginal distributions of an image over local patches, th...
Hongming Zhang, Wen Gao, Xilin Chen, Debin Zhao