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DISOPT
2007
155views more  DISOPT 2007»
13 years 7 months ago
Linear-programming design and analysis of fast algorithms for Max 2-CSP
The class Max (r, 2)-CSP (or simply Max 2-CSP) consists of constraint satisfaction problems with at most two r-valued variables per clause. For instances with n variables and m bin...
Alexander D. Scott, Gregory B. Sorkin
CVPR
2010
IEEE
14 years 3 months ago
Efficient Piecewise Learning for Conditional Random Fields
Conditional Random Field models have proved effective for several low-level computer vision problems. Inference in these models involves solving a combinatorial optimization probl...
Karteek Alahari, Phil Torr
SOFSEM
2007
Springer
14 years 1 months ago
Exact Max 2-Sat: Easier and Faster
Prior algorithms known for exactly solving Max 2-Sat improve upon the trivial upper bound only for very sparse instances. We present new algorithms for exactly solving (in fact, c...
Martin Fürer, Shiva Prasad Kasiviswanathan
ICCV
2009
IEEE
1655views Computer Vision» more  ICCV 2009»
15 years 13 days ago
Shift-Map Image Editing
Geometric rearrangement of images includes operations such as image retargeting, inpainting, or object rearrangement. Each such operation can be characterized by a shiftmap: the...
Yael Pritch, Eitam Kav-Venaki, Shmuel Peleg
NIPS
2007
13 years 9 months ago
Fixing Max-Product: Convergent Message Passing Algorithms for MAP LP-Relaxations
We present a novel message passing algorithm for approximating the MAP problem in graphical models. The algorithm is similar in structure to max-product but unlike max-product it ...
Amir Globerson, Tommi Jaakkola