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MP
2006
105views more  MP 2006»
15 years 6 months ago
Two-stage integer programs with stochastic right-hand sides: a superadditive dual approach
We consider two-stage pure integer programs with discretely distributed stochastic right-hand sides. We present an equivalent superadditive dual formulation that uses the value fun...
Nan Kong, Andrew J. Schaefer, Brady Hunsaker
TSP
2008
123views more  TSP 2008»
15 years 6 months ago
A Rough Programming Approach to Power-Balanced Instruction Scheduling for VLIW Digital Signal Processors
The focus of this paper is on VLIW instruction scheduling that minimizes the variation of power consumed by the processor during the execution of a target program. We use rough set...
Shu Xiao, Edmund Ming-Kit Lai
SEMWEB
2010
Springer
15 years 4 months ago
Representing and Querying Validity Time in RDF and OWL: A Logic-Based Approach
RDF(S) and OWL 2 currently support only static ontologies. In practice, however, the truth of statements often changes with time, and Semantic Web applications often need to repres...
Boris Motik
CVPR
2011
IEEE
14 years 10 months ago
Earth Mover’s Prototypes: a Convex Learning Approach for Discovering Activity Patterns in Dynamic Scenes
We present a novel approach for automatically discovering spatio-temporal patterns in complex dynamic scenes. Similarly to recent non-object centric methods, we use low level visu...
Elisa Ricci, Gloria Zen
DEXAW
2009
IEEE
173views Database» more  DEXAW 2009»
16 years 1 months ago
Automatic Cluster Number Selection Using a Split and Merge K-Means Approach
Abstract—The k-means method is a simple and fast clustering technique that exhibits the problem of specifying the optimal number of clusters preliminarily. We address the problem...
Markus Muhr, Michael Granitzer