178 search results - page 24 / 36 » LSMR: An iterative algorithm for sparse least-squares proble... |
KDD
2009
ACM
14 years 8 months ago
2009
ACM
Logistic Regression is a well-known classification method that has been used widely in many applications of data mining, machine learning, computer vision, and bioinformatics. Spa...
ICANN
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. Trained support vector machines (SVMs) have a slow runtime classification speed if the classification problem is noisy and the sample data set is large. Approximating the...
CVPR
2009
IEEE
15 years 2 months ago
2009
IEEE
Restoring a clear image from a single motion-blurred
image due to camera shake has long been a challenging
problem in digital imaging. Existing blind deblurring techniques
eithe...
JCPHY
2011
12 years 10 months ago
2011
This paper is concerned with the fast solution of high frequency electromagnetic scattering problems using the boundary integral formulation. We extend the O(N log N) directional ...
TSP
2010
13 years 2 months ago
2010
The Lasso is a popular technique for joint estimation and continuous variable selection, especially well-suited for sparse and possibly under-determined linear regression problems....