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» Globally Convergent Autocalibration
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NIPS
2004
15 years 1 months ago
Parallel Support Vector Machines: The Cascade SVM
We describe an algorithm for support vector machines (SVM) that can be parallelized efficiently and scales to very large problems with hundreds of thousands of training vectors. I...
Hans Peter Graf, Eric Cosatto, Léon Bottou,...
SIP
2003
15 years 1 months ago
Time Domain Optimization Techniques for Blind Separation of Non-stationary Convolutive Mixed Signals
This paper aims to solve the problem of Blind Signal Separation (BSS) in a convolutive environment based on output correlation matrix diagonalization. Firstly an extension of the ...
Iain Russell, Alfred Mertins, Jiangtao Xi
VMV
2007
122views Visualization» more  VMV 2007»
15 years 28 days ago
An iterative framework for registration with reconstruction
The core of most registration algorithms aligns scan data by pairs, minimizing their relative distance. This local optimization must generally pass through a validation procedure t...
Thales Vieira, Adelailson Peixoto, Luiz Velho, Tho...
EOR
2010
116views more  EOR 2010»
14 years 12 months ago
Speeding up continuous GRASP
Continuous GRASP (C-GRASP) is a stochastic local search metaheuristic for finding cost-efficient solutions to continuous global optimization problems subject to box constraints (Hi...
Michael J. Hirsch, Panos M. Pardalos, Mauricio G. ...
SIAMJO
2008
92views more  SIAMJO 2008»
14 years 11 months ago
An Active-Set Newton Method for Mathematical Programs with Complementarity Constraints
For a mathematical program with complementarity constraints (MPCC), we propose an active-set Newton method, which has the property of local quadratic convergence under the MPCC lin...
Alexey F. Izmailov, Mikhail V. Solodov