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» Reformulating Constraint Models Using Input Data
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CPAIOR
2010
Springer
15 years 3 months ago
Constraint Reasoning with Uncertain Data Using CDF-Intervals
Interval coefficients have been introduced in OR and CP to specify uncertain data in order to provide reliable solutions to convex models. The output is generally a solution set, ...
Aya Saad, Carmen Gervet, Slim Abdennadher
IGARSS
2010
14 years 9 months ago
The use of spatial constraints in the derivation of mesoscale sea surface current fields from multi-sensor satellite data
Sequential multi-sensor satellite images are used for the computation of mesoscale surface currents in the Northern and Southern Baltic Proper. Different marine surface films and ...
Benjamin Seppke, Martin Gade, Leonie S. Dreschler-...
SIGGRAPH
1991
ACM
15 years 2 months ago
Coping with friction for non-penetrating rigid body simulation
Algorithms and computational complexity measures for simulating the motion of contacting bodies with friction are presented. The bodies are restricted to be perfectly rigid bodies...
David Baraff
NIPS
2003
15 years 14 days ago
Computing Gaussian Mixture Models with EM Using Equivalence Constraints
Density estimation with Gaussian Mixture Models is a popular generative technique used also for clustering. We develop a framework to incorporate side information in the form of e...
Noam Shental, Aharon Bar-Hillel, Tomer Hertz, Daph...
IWANN
2005
Springer
15 years 4 months ago
Input and Structure Selection for k-NN Approximator
Abstract. This paper presents k-NN as an approximator for time series prediction problems. The main advantage of this approximator is its simplicity. Despite the simplicity, k-NN c...
Antti Sorjamaa, Nima Reyhani, Amaury Lendasse