38 search results - page 2 / 8 » Linear grouping using orthogonal regression |
CVPR
2012
IEEE
11 years 9 months ago
2012
IEEE
We introduce a framework for defining a distance on the (non-Euclidean) space of Linear Dynamical Systems (LDSs). The proposed distance is induced by the action of the group of o...
BMCBI
2008
13 years 7 months ago
2008
Background: Kernel-based classification and regression methods have been successfully applied to modelling a wide variety of biological data. The Kernel-based Orthogonal Projectio...
CVPR
2007
IEEE
14 years 9 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...
CORR
2007
Springer
13 years 7 months ago
2007
Springer
We consider the least-square regression problem with regularization by a block 1-norm, that is, a sum of Euclidean norms over spaces of dimensions larger than one. This problem, r...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
Abstract--In this paper we construct low ML decoding complexity STBCs by using the Pauli matrices as linear dispersion matrices. In this case the Hurwitz-Radon orthogonality condit...