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» Stability in Discrete Tomography: Linear Programming, Additi...
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DGCI
2003
Springer
13 years 10 months ago
Stability in Discrete Tomography: Linear Programming, Additivity and Convexity
The problem of reconstructing finite subsets of the integer lattice from X-rays has been studied in discrete mathematics and applied in several fields like image processing, data...
Sara Brunetti, Alain Daurat
AIPS
2004
13 years 6 months ago
Heuristic Refinements of Approximate Linear Programming for Factored Continuous-State Markov Decision Processes
Approximate linear programming (ALP) offers a promising framework for solving large factored Markov decision processes (MDPs) with both discrete and continuous states. Successful ...
Branislav Kveton, Milos Hauskrecht
COMPGEOM
1991
ACM
13 years 8 months ago
A Pivoting Algorithm for Convex Hulls and Vertex Enumeration of Arrangements and Polyhedra
We present a new pivot-based algorithm which can be used with minor modification for the enumeration of the facets of the convex hull of a set of points, or for the enumeration o...
David Avis, Komei Fukuda
ICML
2008
IEEE
14 years 5 months ago
Efficiently solving convex relaxations for MAP estimation
The problem of obtaining the maximum a posteriori (map) estimate of a discrete random field is of fundamental importance in many areas of Computer Science. In this work, we build ...
M. Pawan Kumar, Philip H. S. Torr
NN
2000
Springer
128views Neural Networks» more  NN 2000»
13 years 4 months ago
A recurrent neural network for solving linear projection equations
Linear projection equations arise in many optimization problems and have important applications in science and engineering. In this paper, we present a recurrent neural network fo...
Youshen Xia, Jun Wang