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» An Approach to use Executable Models for Testing
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AIPR
2002
IEEE
16 years 4 days ago
ICA Mixture Model based Unsupervised Classification of Hyperspectral Imagery
Conventional remote sensing classification techniques that model the data in each class with a multivariate Gaussian distribution are inefficient, as this assumption is generally ...
Chintan A. Shah, Manoj K. Arora, Stefan A. Robila,...
UAI
1996
15 years 8 months ago
Bayesian Learning of Loglinear Models for Neural Connectivity
This paper presents a Bayesian approach to learning the connectivity structure of a group of neurons from data on configuration frequencies. A major objective of the research is t...
Kathryn B. Laskey, Laura Martignon
SIAMSC
2008
110views more  SIAMSC 2008»
15 years 7 months ago
Large-Eddy Simulation of Thermal Flows based on Discrete-Velocity Models
We derive a Godunov-type relaxation scheme for turbulent flows with heat transfer. The building block of this approach is a kinetic Boltzmann-type formulation for a model of turbul...
Mapundi K. Banda, Mohammed Seaïd, Ioan Teleag...
ICIP
2004
IEEE
16 years 8 months ago
Multisensor raster and vector data fusion based on uncertainty modeling
We propose a new methodology for fusing temporally changing multisensor raster and vector data by developing a spatially and temporally varying uncertainty model of acquired and t...
Sang-Chul Lee, Peter Bajcsy
LCN
1999
IEEE
15 years 11 months ago
Time Series Models for Internet Data Traffic
A statistical analysis of Internet traffic measurements from a campus site is carried out to examine the influence of the constituent protocols and applications on the characteris...
Chun You, Kavitha Chandra