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FLAIRS
2004
15 years 5 months ago
Iterative Improvement of Neural Classifiers
A new objective function for neural net classifier design is presented, which has more free parameters than the classical objective function. An iterative minimization technique f...
Jiang Li, Michael T. Manry, Li-min Liu, Changhua Y...
TACAS
2010
Springer
255views Algorithms» more  TACAS 2010»
15 years 1 months ago
Satisfiability Modulo the Theory of Costs: Foundations and Applications
Abstract. We extend the setting of Satisfiability Modulo Theories (SMT) by introducing a theory of costs C, where it is possible to model and reason about resource consumption and ...
Alessandro Cimatti, Anders Franzén, Alberto...
IJCV
2008
209views more  IJCV 2008»
15 years 2 months ago
Motion and Appearance Nonparametric Joint Entropy for Video Segmentation
This paper deals with video segmentation based on motion and spatial information. Classically, the motion term is based on a motion compensation error (MCE) between two consecutiv...
Sylvain Boltz, Ariane Herbulot, Eric Debreuve, Mic...
ESANN
2006
15 years 5 months ago
Determination of the Mahalanobis matrix using nonparametric noise estimations
In this paper, the problem of an optimal transformation of the input space for function approximation problems is addressed. The transformation is defined determining the Mahalanob...
Amaury Lendasse, Francesco Corona, Jin Hao, Nima R...
EOR
2008
85views more  EOR 2008»
15 years 4 months ago
The Linear Ordering Problem with cumulative costs
Several optimization problems require finding a permutation of a given set of items that minimizes a certain cost function. These problems are naturally modelled in graph-theory t...
Livio Bertacco, Lorenzo Brunetta, Matteo Fischetti