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CVPR
2009
IEEE
15 years 7 months ago
Markov Chain Monte Carlo Combined with Deterministic Methods for Markov Random Field Optimization
Many vision problems have been formulated as en- ergy minimization problems and there have been signif- icant advances in energy minimization algorithms. The most widely-used energ...
Wonsik Kim (Seoul National University), Kyoung Mu ...
ICCAD
2002
IEEE
227views Hardware» more  ICCAD 2002»
15 years 6 months ago
Generic ILP versus specialized 0-1 ILP: an update
Optimized solvers for the Boolean Satisfiability (SAT) problem have many applications in areas such as hardware and software verification, FPGA routing, planning, etc. Further use...
Fadi A. Aloul, Arathi Ramani, Igor L. Markov, Kare...
ECCC
2007
122views more  ECCC 2007»
14 years 9 months ago
Infeasibility of Instance Compression and Succinct PCPs for NP
The OR-SAT problem asks, given Boolean formulae φ1, . . . , φm each of size at most n, whether at least one of the φi’s is satisfiable. We show that there is no reduction fr...
Lance Fortnow, Rahul Santhanam
CORR
2010
Springer
204views Education» more  CORR 2010»
14 years 9 months ago
Optimization Framework and Graph-Based Approach for Relay-Assisted Bidirectional OFDMA Cellular Networks
This paper considers a relay-assisted bidirectional cellular network where the base station (BS) communicates with each mobile station (MS) using orthogonal frequencydivision multi...
Yuan Liu, Meixia Tao, Bin Li, Hui Shen
STOC
2005
ACM
135views Algorithms» more  STOC 2005»
15 years 10 months ago
Quadratic forms on graphs
We introduce a new graph parameter, called the Grothendieck constant of a graph G = (V, E), which is defined as the least constant K such that for every A : E R, sup f:V S|V |-1 ...
Noga Alon, Konstantin Makarychev, Yury Makarychev,...