429 search results - page 21 / 86 » Unsupervised feature selection for principal components anal... |
146
Voted
SINOBIOMETRICS
2004
Springer
15 years 9 months ago
2004
Springer
This paper presents a novel face recognition method based on cascade Linear Discriminant Analysis (LDA) of the component-based face representation. In the proposed method, a face i...
146
Voted
AAAI
2010
15 years 5 months ago
2010
Spectral feature selection identifies relevant features by measuring their capability of preserving sample similarity. It provides a powerful framework for both supervised and uns...
147
Voted
ICML
2009
IEEE
16 years 4 months ago
2009
IEEE
Training principles for unsupervised learning are often derived from motivations that appear to be independent of supervised learning. In this paper we present a simple unificatio...
125
Voted
ICANN
2003
Springer
15 years 9 months ago
2003
Springer
Abstract. An abstract recurrent neural network trained by an unsupervised method is applied to the kinematic control of a robot arm. The network is a novel extension of the Neural ...
151
Voted
PAMI
2010
15 years 2 months ago
2010
—A new formulation for multiway spectral clustering is proposed. This method corresponds to a weighted kernel principal component analysis (PCA) approach based on primal-dual lea...