129 search results - page 1 / 26 » Margin Maximizing Discriminant Analysis |
52
Voted
ECML
2004
Springer
15 years 5 months ago
2004
Springer
109
Voted
CVPR
2007
IEEE
16 years 2 months ago
2007
IEEE
A novel algorithm called Average Neighborhood Margin Maximization (ANMM) is proposed for supervised linear feature extraction. For each data point, ANMM aims at pulling the neighb...
109
Voted
ICPR
2008
IEEE
15 years 7 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...
JMLR
2010
14 years 7 months ago
2010
In this paper, we introduce an assumption which makes it possible to extend the learning ability of discriminative model to unsupervised setting. We propose an informationtheoreti...
103
Voted
BMCBI
2010
15 years 17 days ago
2010
Background: Feature gene extraction is a fundamental issue in microarray-based biomarker discovery. It is normally treated as an optimization problem of finding the best predictiv...