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SIAMJO
2008
212views more  SIAMJO 2008»
15 years 5 months ago
Convergence Rate of an Optimization Algorithm for Minimizing Quadratic Functions with Separable Convex Constraints
A new active set algorithm for minimizing quadratic functions with separable convex constraints is proposed by combining the conjugate gradient method with the projected gradient. ...
Radek Kucera
ISIPTA
2003
IEEE
15 years 10 months ago
Exploring Imprecise Probability Assessments Based on Linear Constraints
For many problems there is only suf£cient prior information for a Bayesian decision maker to identify a class of possible prior distributions. In such cases it is of interest to ...
Radu Lazar, Glen Meeden
IJIT
2004
15 years 6 months ago
Multiresolution Approach to Subpixel Registration by Linear Approximation of PSF
Linear approximation of point spread function (PSF) is a new method for determining subpixel translations between images. The problem with the actual algorithm is the inability of ...
Erol Seke, Kemal Özkan
COR
2008
118views more  COR 2008»
15 years 5 months ago
An effective two-stage simulated annealing algorithm for the minimum linear arrangement problem
In this paper, an improved Two-Stage Simulated Annealing algorithm is presented for the Minimum Linear Arrangement Problem for Graphs. This algorithm integrates several distinguis...
Eduardo Rodriguez-Tello, Jin-Kao Hao, Jose Torres-...
ICASSP
2010
IEEE
15 years 5 months ago
Large margin estimation of n-gram language models for speech recognition via linear programming
We present a novel discriminative training algorithm for n-gram language models for use in large vocabulary continuous speech recognition. The algorithm uses large margin estimati...
Vladimir Magdin, Hui Jiang