42 search results - page 5 / 9 » Convergence Rate of an Optimization Algorithm for Minimizing... |
AAAI
2006
13 years 9 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...
ML
2007
ACM
13 years 7 months ago
2007
ACM
We consider multivariate density estimation with identically distributed observations. We study a density estimator which is a convex combination of functions in a dictionary and ...
ICASSP
2008
IEEE
14 years 2 months ago
2008
IEEE
Finding sparse approximate solutions to large underdetermined linear systems of equations is a common problem in signal/image processing and statistics. Basis pursuit, the least a...
VTC
2007
IEEE
14 years 1 months ago
2007
IEEE
—In this paper, we propose a low-complexity scheme for minimizing energy consumption in a clustered multirate CDMA sensor network with multiple receive antennas by jointly contro...
TASLP
2010
13 years 2 months ago
2010
We consider the problem of extracting the source signals from an under-determined convolutive mixture assuming known mixing filters. State-of-the-art methods operate in the time-fr...