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ECCV
2006
Springer
16 years 5 months ago
Statistical Priors for Efficient Combinatorial Optimization Via Graph Cuts
Abstract. Bayesian inference provides a powerful framework to optimally integrate statistically learned prior knowledge into numerous computer vision algorithms. While the Bayesian...
Daniel Cremers, Leo Grady
159
Voted
ISSAC
1997
Springer
194views Mathematics» more  ISSAC 1997»
15 years 7 months ago
The Minimised Geometric Buchberger Algorithm: An Optimal Algebraic Algorithm for Integer Programming
IP problems characterise combinatorial optimisation problems where conventional numerical methods based on the hill-climbing technique can not be directly applied. Conventional me...
Qiang Li, Yike Guo, Tetsuo Ida, John Darlington
SSD
2005
Springer
153views Database» more  SSD 2005»
15 years 8 months ago
Constrained Shortest Path Computation
This paper proposes and solves a-autonomy and k-stops shortest path problems in large spatial databases. Given a source s and a destination d, an aautonomy query retrieves a sequen...
Manolis Terrovitis, Spiridon Bakiras, Dimitris Pap...
IOR
2008
89views more  IOR 2008»
15 years 3 months ago
Impulse Control of Brownian Motion: The Constrained Average Cost Case
When a manufacturer places repeated orders with a supplier to meet changing production requirements, he faces the challenge of finding the right balance between holding costs and ...
Melda Ormeci, J. G. Dai, John H. Vande Vate
JMLR
2012
13 years 5 months ago
A General Framework for Structured Sparsity via Proximal Optimization
We study a generalized framework for structured sparsity. It extends the well known methods of Lasso and Group Lasso by incorporating additional constraints on the variables as pa...
Luca Baldassarre, Jean Morales, Andreas Argyriou, ...