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JMLR
2006
89views more  JMLR 2006»
13 years 5 months ago
Maximum-Gain Working Set Selection for SVMs
Support vector machines are trained by solving constrained quadratic optimization problems. This is usually done with an iterative decomposition algorithm operating on a small wor...
Tobias Glasmachers, Christian Igel
AAAI
2006
13 years 6 months ago
A Direct Evolutionary Feature Extraction Algorithm for Classifying High Dimensional Data
Among various feature extraction algorithms, those based on genetic algorithms are promising owing to their potential parallelizability and possible applications in large scale an...
Qijun Zhao, David Zhang, Hongtao Lu
SIAMSC
2011
162views more  SIAMSC 2011»
13 years 7 days ago
Accelerating the LSTRS Algorithm
In a recent paper [Rojas, Santos, Sorensen: ACM ToMS 34 (2008), Article 11] an efficient method for solving the Large-Scale Trust-Region Subproblem was suggested which is based on ...
Jörg Lampe, Marielba Rojas, Danny C. Sorensen...
ICPR
2008
IEEE
14 years 6 months ago
Solving quadratically constrained geometrical problems using lagrangian duality
In this paper we consider the problem of solving different pose and registration problems under rotational constraints. Traditionally, methods such as the iterative closest point ...
Carl Olsson, Anders Eriksson
IROS
2006
IEEE
142views Robotics» more  IROS 2006»
13 years 11 months ago
Application of Optimization Techniques for an Optimal Fertilization by Centrifugal Spreading
— Mineral fertilizers application is an agricultural task widely performed by centrifugal spreaders. These machines give satisfying results with regularly spaced parallel tractor...
Teddy Virin, Jonas Koko, Emmanuel Piron, Philippe ...