100 search results - page 19 / 20 » Two-Dimensional Bayesian Subspace Analysis for Face Recognit... |
PAMI
2007
13 years 5 months ago
2007
—We address the problem of comparing sets of images for object recognition, where the sets may represent variations in an object’s appearance due to changing camera pose and li...
ICMCS
2005
IEEE
13 years 11 months ago
2005
IEEE
In this paper we face the problem of partitioning the news videos into stories, and of their classification according to a predefined set of categories. In particular, we propose ...
IJCAI
2007
13 years 7 months ago
2007
Linear Discriminant Analysis (LDA) is a popular data-analytic tool for studying the class relationship between data points. A major disadvantage of LDA is that it fails to discove...
ICPR
2008
IEEE
13 years 12 months ago
2008
IEEE
In this paper, a novel subspace learning method, semi-supervised marginal discriminant analysis (SMDA), is proposed for classification. SMDA aims at maintaining the intrinsic neig...
FGR
2008
IEEE
14 years 14 min ago
2008
IEEE
Linear Discriminant Analysis (LDA) has been a popular method for feature extracting and face recognition. As a supervised method, it requires manually labeled samples for training...