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NIPS
2008
13 years 8 months ago
Robust Regression and Lasso
We consider robust least-squares regression with feature-wise disturbance. We show that this formulation leads to tractable convex optimization problems, and we exhibit a particul...
Huan Xu, Constantine Caramanis, Shie Mannor
EMO
2006
Springer
170views Optimization» more  EMO 2006»
13 years 11 months ago
Robust Multi-Objective Optimization in High Dimensional Spaces
1 In most real world optimization problems several optimization goals have to be considered in parallel. For this reason, there has been a growing interest in Multi-Objective Optim...
André Sülflow, Nicole Drechsler, Rolf ...
ICIP
2004
IEEE
14 years 9 months ago
Robust circle detection using a weighted mse estimator
In this paper we introduce a novel circle detection algorithm based on a weighted minimum mean square error (MSE) formulation. Traditional approaches to circle detections consist ...
Guido M. Schuster, Aggelos K. Katsaggelos
ESA
2010
Springer
140views Algorithms» more  ESA 2010»
13 years 7 months ago
A Robust PTAS for Machine Covering and Packing
Abstract. Minimizing the makespan or maximizing the minimum machine load are two of the most important and fundamental parallel machine scheduling problems. In an online scenario, ...
Martin Skutella, José Verschae
DEBU
2008
165views more  DEBU 2008»
13 years 7 months ago
A Survey of Attack-Resistant Collaborative Filtering Algorithms
With the increasing popularity of recommender systems in commercial services, the quality of recommendations has increasingly become an important to study, much like the quality o...
Bhaskar Mehta, Thomas Hofmann