244 search results - page 14 / 49 » Applications of Regularized Least Squares to Classification ... |
ICASSP
2011
IEEE
13 years 11 days ago
2011
IEEE
The 1 norm regularized least square technique has been proposed as an efficient method to calculate sparse solutions. However, the choice of the regularization parameter is still...
CVPR
1999
IEEE
14 years 29 days ago
1999
IEEE
We propose an efficient solution to the general M-view projective reconstruction problem, using matrix factorization and iterative least squares. The method can accept input with ...
JMLR
2010
13 years 3 months ago
2010
In this paper, we propose a general framework for sparse semi-supervised learning, which concerns using a small portion of unlabeled data and a few labeled data to represent targe...
TSP
2008
13 years 8 months ago
2008
In this paper, we consider the problem of estimating an unknown deterministic parameter vector in a linear regression model with random Gaussian uncertainty in the mixing matrix. W...
KDD
2008
ACM
14 years 9 months ago
2008
ACM
Multi-label problems arise in various domains such as multitopic document categorization and protein function prediction. One natural way to deal with such problems is to construc...