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» On Non-Approximability for Quadratic Programs
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SODA
2004
ACM
161views Algorithms» more  SODA 2004»
13 years 9 months ago
Approximation schemes for Metric Bisection and partitioning
We design polynomial time approximation schemes (PTASs) for Metric BISECTION, i.e. dividing a given finite metric space into two halves so as to minimize or maximize the sum of di...
Wenceslas Fernandez de la Vega, Marek Karpinski, C...
NIPS
1998
13 years 9 months ago
Using Analytic QP and Sparseness to Speed Training of Support Vector Machines
Training a Support Vector Machine (SVM) requires the solution of a very large quadratic programming (QP) problem. This paper proposes an algorithm for training SVMs: Sequential Mi...
John C. Platt
ICASSP
2010
IEEE
13 years 8 months ago
Semi-Supervised Hyperspectral Unmixing via the Weighted Lasso
In this paper a novel approach for semi-supervised hyperspectral unmixing is presented. First, it is shown that this problem inherently accepts a sparse solution. Then, based on t...
Konstantinos Themelis, Athanasios A. Rontogiannis,...
CORR
2010
Springer
208views Education» more  CORR 2010»
13 years 8 months ago
MapReduce for Integer Factorization
Abstract. Integer factorization is a very hard computational problem. Currently no ecient algorithm for integer factorization is publicly known. However, this is an important probl...
Javier Tordable
CORR
2010
Springer
118views Education» more  CORR 2010»
13 years 8 months ago
alphaCertified: certifying solutions to polynomial systems
Smale's -theory uses estimates related to the convergence of Newton's method to give criteria implying that Newton iterations will converge quadratically to solutions to ...
Jonathan D. Hauenstein, Frank Sottile