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CVPR
2010
IEEE
15 years 10 months ago
Parallel and Distributed Graph Cuts by Dual Decomposition
Graph cuts methods are at the core of many state-of-theart algorithms in computer vision due to their efficiency in computing globally optimal solutions. In this paper, we solve t...
Petter Strandmark, Fredrik Kahl
SOCO
2009
Springer
15 years 8 months ago
Feature (De)composition in Functional Programming
Abstract. The separation of concerns is a fundamental principle in software engineering. Crosscutting concerns are concerns that do not align with hierarchical and block decomposit...
Sven Apel, Christian Kästner, Armin Grö&...
WG
2005
Springer
15 years 7 months ago
Fully Dynamic Algorithm for Recognition and Modular Decomposition of Permutation Graphs
This paper considers the problem of maintaining a compact representation (O(n) space) of permutation graphs under vertex and edge modifications (insertion or deletion). That repr...
Christophe Crespelle, Christophe Paul
ECCV
2010
Springer
15 years 6 months ago
MRF Inference by k-Fan Decomposition and Tight Lagrangian Relaxation
We present a novel dual decomposition approach to MAP inference with highly connected discrete graphical models. Decompositions into cyclic k-fan structured subproblems are shown t...
PKDD
1999
Springer
90views Data Mining» more  PKDD 1999»
15 years 5 months ago
Learning from Highly Structured Data by Decomposition
This paper addresses the problem of learning from highly structured data. Speci cally, it describes a procedure, called decomposition, that allows a learner to access automatically...
René MacKinney-Romero, Christophe G. Giraud...