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» Reformulating Constraint Models Using Input Data
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TSP
2008
105views more  TSP 2008»
14 years 9 months ago
Semi-Supervised Linear Spectral Unmixing Using a Hierarchical Bayesian Model for Hyperspectral Imagery
This paper proposes a hierarchical Bayesian model that can be used for semi-supervised hyperspectral image unmixing. The model assumes that the pixel reflectances result from linea...
Nicolas Dobigeon, Jean-Yves Tourneret, Chein-I Cha...
JAPLL
2010
179views more  JAPLL 2010»
14 years 8 months ago
Tractable query answering and rewriting under description logic constraints
Answering queries over an incomplete database w.r.t. a set of constraints is an important computational task with applications in fields as diverse as information integration and ...
Héctor Pérez-Urbina, Boris Motik, Ia...
95
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EDBT
2008
ACM
146views Database» more  EDBT 2008»
14 years 11 months ago
SPARQLing constraints for RDF
The goal of the Semantic Web is to support semantic interoperability between applications exchanging data on the web. The idea heavily relies on data being made available in machi...
Georg Lausen, Michael Meier 0002, Michael Schmidt
68
Voted
WSC
2004
14 years 11 months ago
Bayesian Methods for Discrete Event Simulation
Bayesian methods are now used in a variety of ways in discrete-event simulation. Applications include input modeling, response surface modeling, uncertainty analysis, and experime...
Stephen E. Chick
EGH
2004
Springer
15 years 1 months ago
Understanding the efficiency of GPU algorithms for matrix-matrix multiplication
Utilizing graphics hardware for general purpose numerical computations has become a topic of considerable interest. The implementation of streaming algorithms, typified by highly ...
Kayvon Fatahalian, Jeremy Sugerman, Pat Hanrahan