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118
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DISOPT
2008
107views more  DISOPT 2008»
15 years 2 months ago
The k-path tree matroid and its applications to survivable network design
We define the k-path tree matroid, and use it to solve network design problems in which the required connectivity is arbitrary for a given pair of nodes, and 1 for the other pairs...
Esther M. Arkin, Refael Hassin
158
Voted
JMLR
2012
13 years 4 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, ...
120
Voted
AI
1998
Springer
15 years 6 months ago
A Heuristic Incremental Modeling Approach to Course Timetabling
Abstract. The general timetabling problem is an assignment of activities to xed time intervals, adhering to a prede ned set of resource availabilities. Timetabling problems are di ...
Don Banks, Peter van Beek, Amnon Meisels
168
Voted
CVPR
2009
IEEE
1081views Computer Vision» more  CVPR 2009»
16 years 9 months ago
Learning Real-Time MRF Inference for Image Denoising
Many computer vision problems can be formulated in a Bayesian framework with Markov Random Field (MRF) or Conditional Random Field (CRF) priors. Usually, the model assumes that ...
Adrian Barbu (Florida State University)
110
Voted
CVPR
2006
IEEE
15 years 8 months ago
Combined Depth and Outlier Estimation in Multi-View Stereo
In this paper, we present a generative model based approach to solve the multi-view stereo problem. The input images are considered to be generated by either one of two processes:...
Christoph Strecha, Rik Fransens, Luc J. Van Gool