688 search results - page 77 / 138 » Computing with subspaces |
151
Voted
BMVC
2010
15 years 17 days ago
2010
This paper explores a recently proposed and rarely reported subspace learning method, Spectral Regression Discriminant Analysis (SRDA) [1, 2], on silhouette based human action rec...
130
Voted
CVPR
2007
IEEE
16 years 4 months ago
2007
IEEE
In this paper, we present novel ridge regression (RR) and kernel ridge regression (KRR) techniques for multivariate labels and apply the methods to the problem of face recognition...
109
Voted
NA
2006
15 years 2 months ago
2006
Abstract. The problem of computing a few of the largest or smallest singular values and associated singular vectors of a large matrix arises in many applications. This paper descri...
166
Voted
IJON
2010
15 years 1 months ago
2010
Linear Discriminant Analysis (LDA) is a well-known scheme for supervised subspace learning. It has been widely used in the applications of computer vision and pattern recognition....
137
Voted
ICASSP
2011
IEEE
14 years 6 months ago
2011
IEEE
Due to multipath delay spread and relatively high sampling rate in OFDM systems, the channel estimation is formulated as a sparse recovery problem, where a hybrid compressed sensi...