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» Adaptive Bound Optimization for Online Convex Optimization
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CDC
2009
IEEE
180views Control Systems» more  CDC 2009»
14 years 1 months ago
Robustness analysis for Least Squares kernel based regression: an optimization approach
—In kernel based regression techniques (such as Support Vector Machines or Least Squares Support Vector Machines) it is hard to analyze the influence of perturbed inputs on the ...
Tillmann Falck, Johan A. K. Suykens, Bart De Moor
ICML
2003
IEEE
14 years 11 months ago
Adaptive Overrelaxed Bound Optimization Methods
We study a class of overrelaxed bound optimization algorithms, and their relationship to standard bound optimizers, such as ExpectationMaximization, Iterative Scaling, CCCP and No...
Ruslan Salakhutdinov, Sam T. Roweis
ICASSP
2011
IEEE
13 years 2 months ago
Robust adaptive beamforming based on jointly estimating covariance matrix and steering vector
In this paper, a new adaptive beamforming algorithm with joint robustness against covariance matrix uncertainty as well as steering vector mismatch is proposed. First, the theoret...
Yujie Gu, Amir Leshem
WDAG
2007
Springer
86views Algorithms» more  WDAG 2007»
14 years 4 months ago
Optimal On-Line Colorings for Minimizing the Number of ADMs in Optical Networks
We consider the problem of minimizing the number of ADMs in optical networks. All previous theoretical studies of this problem dealt with the off-line case, where all the lightpat...
Mordechai Shalom, Prudence W. H. Wong, Shmuel Zaks
CORR
2010
Springer
115views Education» more  CORR 2010»
13 years 8 months ago
Tight oracle bounds for low-rank matrix recovery from a minimal number of random measurements
This paper presents several novel theoretical results regarding the recovery of a low-rank matrix from just a few measurements consisting of linear combinations of the matrix entr...
Emmanuel J. Candès, Yaniv Plan