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JGO
2010
117views more  JGO 2010»
13 years 6 months ago
Machine learning problems from optimization perspective
Both optimization and learning play important roles in a system for intelligent tasks. On one hand, we introduce three types of optimization tasks studied in the machine learning l...
Lei Xu
AUTOMATICA
2007
129views more  AUTOMATICA 2007»
13 years 8 months ago
Robust control of polytopic systems by convex optimization
— Robust control synthesis of linear time-invariant SISO polytopic systems is investigated using the polynomial approach. A convex set of all stabilizing controllers for a polyto...
Alireza Karimi, Hamid Khatibi, Roland Longchamp
SWAT
2004
Springer
109views Algorithms» more  SWAT 2004»
14 years 1 months ago
Robust Subgraphs for Trees and Paths
Consider a graph problem which is associated with a parameter, for example, that of finding a longest tour spanning k vertices. The following question is natural: Is there a smal...
Refael Hassin, Danny Segev
CDC
2009
IEEE
180views Control Systems» more  CDC 2009»
13 years 11 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
CVPR
2010
IEEE
13 years 6 months ago
Efficient computation of robust low-rank matrix approximations in the presence of missing data using the L1 norm
The calculation of a low-rank approximation of a matrix is a fundamental operation in many computer vision applications. The workhorse of this class of problems has long been the ...
Anders Eriksson, Anton van den Hengel