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ECAI
2006
Springer
15 years 10 months ago
Extracting MUCs from Constraint Networks
Abstract. We address the problem of extracting Minimal Unsatisfiable Cores (MUCs) from constraint networks. This computationally hard problem has a practical interest in many appli...
Fred Hemery, Christophe Lecoutre, Lakhdar Sais, Fr...
AAECC
1995
Springer
137views Algorithms» more  AAECC 1995»
15 years 10 months ago
About Approximations of Exponentials
Abstract. We look for the approximation of exp(A1 + A2) by a product in form exp(x1A1) exp(y1A2) · · · exp(xnA1) exp(ynA2). We specially are interested in minimal approximations...
Pierre-Vincent Koseleff
DAGM
2006
Springer
15 years 8 months ago
Introducing Dynamic Prior Knowledge to Partially-Blurred Image Restoration
Abstract. The paper presents an unsupervised method for partiallyblurred image restoration without influencing unblurred regions or objects. Maximum a posteriori estimation of para...
Hongwei Zheng, Olaf Hellwich
FMCAD
2008
Springer
15 years 8 months ago
Optimal Constraint-Preserving Netlist Simplification
Abstract-- We consider the problem of optimal netlist simplification in the presence of constraints. Because constraints restrict the reachable states of a netlist, they may enhanc...
Jason Baumgartner, Hari Mony, Adnan Aziz
ICAI
2007
15 years 8 months ago
Dynamic Programming Algorithm for Training Functional Networks
Abstract— The paper proposes a dynamic programming algorithm for training of functional networks. The algorithm considers each node as a state. The problem is formulated as find...
Emad A. El-Sebakhy, Salahadin Mohammed, Moustafa E...