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...
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...
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...
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...
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