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ICML
2010
IEEE
15 years 8 months ago
Deep networks for robust visual recognition
Deep Belief Networks (DBNs) are hierarchical generative models which have been used successfully to model high dimensional visual data. However, they are not robust to common vari...
Yichuan Tang, Chris Eliasmith
ANOR
2007
126views more  ANOR 2007»
15 years 7 months ago
Lifting, superadditivity, mixed integer rounding and single node flow sets revisited
In this survey we attempt to give a unified presentation of a variety of results on the lifting of valid inequalities, as well as a standard procedure combining mixed integer roun...
Quentin Louveaux, Laurence A. Wolsey
COR
2010
101views more  COR 2010»
15 years 7 months ago
Constraint-specific recovery network for solving airline recovery problems
In this paper, we consider the recovery of an airline schedule after an unforeseen event called disruption, making the planned schedule infeasible. We present a modeling framework...
Niklaus Eggenberg, Matteo Salani, Michel Bierlaire
DAM
2008
145views more  DAM 2008»
15 years 7 months ago
Graph coloring in the estimation of sparse derivative matrices: Instances and applications
We describe a graph coloring problem associated with the determination of mathematical derivatives. The coloring instances are obtained as intersection graphs of row partitioned s...
Shahadat Hossain, Trond Steihaug
APAL
2006
67views more  APAL 2006»
15 years 7 months ago
Pretopologies and a uniform presentation of sup-lattices, quantales and frames
We introduce the notion of infinitary preorder and use it to obtain a predicative presentation of sup-lattices by generators and relations. The method is uniform in that it extend...
Giulia Battilotti, Giovanni Sambin