244 search results - page 17 / 49 » Applications of Regularized Least Squares to Classification ... |
MICCAI
2010
Springer
13 years 6 months ago
2010
Springer
In this paper, we propose an efficient algorithm for MR image reconstruction. The algorithm minimizes a linear combination of three terms corresponding to a least square data fitti...
ICASSP
2010
IEEE
13 years 8 months ago
2010
IEEE
In this paper a novel approach for semi-supervised hyperspectral unmixing is presented. First, it is shown that this problem inherently accepts a sparse solution. Then, based on t...
ICML
2003
IEEE
14 years 9 months ago
2003
IEEE
A new method for classification is proposed. This is based on kernel orthonormalized partial least squares (PLS) dimensionality reduction of the original data space followed by a ...
ISCAS
2008
IEEE
14 years 3 months ago
2008
IEEE
— Non-negative matrix factorization (NMF), i.e. V ≈ WH where both V, W and H are non-negative has become a widely used blind source separation technique due to its part based r...
AAAI
2006
13 years 10 months ago
2006
L1 regularized logistic regression is now a workhorse of machine learning: it is widely used for many classification problems, particularly ones with many features. L1 regularized...