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» Advances in Feature Selection with Mutual Information
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IWBRS
2005
Springer
168views Biometrics» more  IWBRS 2005»
15 years 3 months ago
Gabor Feature Selection for Face Recognition Using Improved AdaBoost Learning
Though AdaBoost has been widely used for feature selection and classifier learning, many of the selected features, or weak classifiers, are redundant. By incorporating mutual infor...
LinLin Shen, Li Bai, Daniel Bardsley, Yangsheng Wa...
AI
2009
Springer
15 years 4 months ago
An Iterative Hybrid Filter-Wrapper Approach to Feature Selection for Document Clustering
The manipulation of large-scale document data sets often involves the processing of a wealth of features that correspond with the available terms in the document space. The employm...
Mohammad-Amin Jashki, Majid Makki, Ebrahim Bagheri...
ICIP
2008
IEEE
15 years 3 months ago
Parallel AdaBoost algorithm for Gabor wavelet selection in face recognition
In this paper, the problem of automatic Gabor wavelet selection for face recognition is tackled by introducing an automatic algorithm based on Parallel AdaBoosting method. Incorpo...
Ulas Bagci, Li Bai
VIS
2003
IEEE
178views Visualization» more  VIS 2003»
15 years 10 months ago
Advanced Curved Planar Reformation: Flattening of Vascular Structures
Traditional volume visualization techniques may provide incomplete clinical information needed for many applications in medical visualization. Especially in the area of vascular v...
Armin Kanitsar, Dominik Fleischmann, Eduard Gr&oum...
BIBE
2008
IEEE
112views Bioinformatics» more  BIBE 2008»
14 years 11 months ago
Feature selection and classification for assessment of chronic stroke impairment
Recent advances of robotic/mechanical devices enable us to measure a subject's performance in an objective and precise manner. The main issue of using such devices is how to r...
Jae-Yoon Jung, Janice I. Glasgow, Stephen H. Scott