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CVPR
2007
IEEE
14 years 2 months ago
Matrix-Structural Learning (MSL) of Cascaded Classifier from Enormous Training Set
Aiming at the problem when both positive and negative training set are enormous, this paper proposes a novel Matrix-Structural Learning (MSL) method, as an extension to Viola and ...
Shengye Yan, Shiguang Shan, Xilin Chen, Wen Gao, J...
ECCV
2010
Springer
13 years 11 months ago
Discovering Multipart Appearance Models from Captioned Images
Abstract. Even a relatively unstructured captioned image set depicting a variety of objects in cluttered scenes contains strong correlations between caption words and repeated visu...
TNN
2010
154views Management» more  TNN 2010»
13 years 2 months ago
Discriminative semi-supervised feature selection via manifold regularization
We consider the problem of semi-supervised feature selection, where we are given a small amount of labeled examples and a large amount of unlabeled examples. Since a small number ...
Zenglin Xu, Irwin King, Michael R. Lyu, Rong Jin
BMCBI
2008
109views more  BMCBI 2008»
13 years 7 months ago
Merging microsatellite data: enhanced methodology and software to combine genotype data for linkage and association analysis
Background: Correctly merged data sets that have been independently genotyped can increase statistical power in linkage and association studies. However, alleles from microsatelli...
Angela P. Presson, Eric M. Sobel, Paivi Pajukanta,...
KDD
2004
ACM
302views Data Mining» more  KDD 2004»
14 years 8 months ago
Redundancy based feature selection for microarray data
In gene expression microarray data analysis, selecting a small number of discriminative genes from thousands of genes is an important problem for accurate classification of diseas...
Lei Yu, Huan Liu