775 search results - page 124 / 155 » Cone-restricted subspace methods |
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
We study the problem of discovering a manifold that best preserves information relevant to a nonlinear regression. Solving this problem involves extending and uniting two threads ...
ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
Given a classification problem, our goal is to find a low-dimensional linear transformation of the feature vectors which retains information needed to predict the class labels. We...
ISBI
2004
IEEE
15 years 10 months ago
2004
IEEE
Independent Component Analysis is becoming a popular exploratory method for analysing complex data such as that from FMRI experiments. The application of such `model-free' me...
FGR
2008
IEEE
15 years 4 months 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...
ICPR
2008
IEEE
15 years 4 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...