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75
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WSC
1998
15 years 1 months ago
Integrating Neural Networks with Special Purpose Simulation
Traditional methods of dealing with variability in simulation input data are mainly stochastic. This is most often the best method to use if the factors affecting the variation or...
Dany Hajjar, Simaan M. AbouRizk, Kevin Mather
PAMI
1998
197views more  PAMI 1998»
15 years 3 days ago
Inference of Integrated Surface, Curve, and Junction Descriptions From Sparse 3D Data
—We are interested in descriptions of 3D data sets, as obtained from stereo or a 3D digitizer. We therefore consider as input a sparse set of points, possibly associated with cer...
Chi-Keung Tang, Gérard G. Medioni
TNN
1998
85views more  TNN 1998»
15 years 3 days ago
Fast numerical integration of relaxation oscillator networks based on singular limit solutions
—Relaxation oscillations exhibiting more than one time scale arise naturally from many physical systems. When relaxation oscillators are coupled in a way that resembles chemical ...
P. S. Linsay, DeLiang L. Wang
95
Voted
ICIP
1998
IEEE
16 years 2 months ago
Proposal for an Integrated Video Analysis Framework
The analysis of video data targeting the identification of relevant objects and the extraction of associated descriptive characteristics will be the enabling factor for a number o...
Paulo Correia, Fernando Pereira
117
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ICCV
1998
IEEE
15 years 4 months ago
Integrated Surface, Curve and Junction Inference from Sparse 3-D Data Sets
We areinterestedin descriptionsof 3-D data sets,as obtained from stereoor a 3-D digitizer. We thereforeconsideras inputa sparsesetof points, possibly associated with certain orien...
Chi-Keung Tang, Gérard G. Medioni