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ICCV
2007
IEEE
16 years 8 months ago
Graph Based Discriminative Learning for Robust and Efficient Object Tracking
Object tracking is viewed as a two-class 'one-versusrest' classification problem, in which the sample distribution of the target is approximately Gaussian while the back...
Xiaoqin Zhang, Weiming Hu, Stephen J. Maybank, Xi ...
GECCO
2005
Springer
126views Optimization» more  GECCO 2005»
16 years 6 days ago
Not all linear functions are equally difficult for the compact genetic algorithm
Estimation of distribution algorithms (EDAs) try to solve an optimization problem by finding a probability distribution focussed around its optima. For this purpose they conduct ...
Stefan Droste
KDD
2010
ACM
244views Data Mining» more  KDD 2010»
15 years 5 months ago
Finding effectors in social networks
Assume a network (V, E) where a subset of the nodes in V are active. We consider the problem of selecting a set of k active nodes that best explain the observed activation state, ...
Theodoros Lappas, Evimaria Terzi, Dimitrios Gunopu...
PVM
2004
Springer
16 years 21 hour ago
Neighborhood Composition: A Parallelization of Local Search Algorithms
Abstract. To practically solve NP-hard combinatorial optimization problems, local search algorithms and their parallel implementations on PVM or MPI have been frequently discussed....
Yuichi Handa, Hirotaka Ono, Kunihiko Sadakane, Mas...
DATE
2008
IEEE
142views Hardware» more  DATE 2008»
15 years 8 months ago
Algorithms for Maximum Satisfiability using Unsatisfiable Cores
Many decision and optimization problems in Electronic Design Automation (EDA) can be solved with Boolean Satisfiability (SAT). Moreover, well-known extensions of SAT also find app...
João Marques-Silva, Jordi Planes