39 search results - page 2 / 8 » Feature Extraction base on Local Maximum Margin Criterion |
ICPR
2008
IEEE
14 years 6 days 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...
IDA
2009
Springer
14 years 10 days ago
2009
Springer
Abstract. We present a Bayesian treatment of non-negative matrix factorization (NMF), based on a normal likelihood and exponential priors, and derive an efficient Gibbs sampler to ...
PKDD
2009
Springer
14 years 9 days ago
2009
Springer
Existing feature extraction methods explore either global statistical or local geometric information underlying the data. In this paper, we propose a general framework to learn fea...
AVBPA
1997
Springer
13 years 10 months ago
1997
Springer
In this paper we describe a system to reliably localize the position of the speaker’s face and mouth in videophone sequences. A statistical scheme based on a subspace method is p...
TIP
2010
13 years 15 days ago
2010
This paper addresses variational supervised texture segmentation. The main contributions are twofold. First, the proposed method circumvents a major problem related to classical t...