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AAAI
2004
14 years 11 months ago
Complete Local Search for Propositional Satisfiability
Algorithms based on following local gradient information are surprisingly effective for certain classes of constraint satisfaction problems. Unfortunately, previous local search a...
Hai Fang, Wheeler Ruml
EC
2008
146views ECommerce» more  EC 2008»
14 years 10 months ago
Automated Discovery of Local Search Heuristics for Satisfiability Testing
The development of successful metaheuristic algorithms such as local search for a difficult problems such as satisfiability testing (SAT) is a challenging task. We investigate an ...
Alex S. Fukunaga
ICPR
2006
IEEE
15 years 11 months ago
Image Categorization Using Local Probabilistic Descriptors
Image categorization involves the well known difficulties with different visual appearances of a single object, but introduces also the problem of within-category variation. This ...
Dorian Suc, Jasna Maver, Katarina Mele
JMLR
2008
151views more  JMLR 2008»
14 years 9 months ago
Learning to Combine Motor Primitives Via Greedy Additive Regression
The computational complexities arising in motor control can be ameliorated through the use of a library of motor synergies. We present a new model, referred to as the Greedy Addit...
Manu Chhabra, Robert A. Jacobs
ECCV
2008
Springer
15 years 11 months ago
Hierarchical Support Vector Random Fields: Joint Training to Combine Local and Global Features
Abstract. Recently, impressive results have been reported for the detection of objects in challenging real-world scenes. Interestingly however, the underlying models vary greatly e...
Paul Schnitzspan, Mario Fritz, Bernt Schiele