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NIPS
2008
15 years 8 months ago
Non-stationary dynamic Bayesian networks
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
Joshua W. Robinson, Alexander J. Hartemink
WSC
1998
15 years 7 months ago
Customer Interfacing - Lessons Learned
Customer interfacing is the process through which one works with and relates to their customer. Often in the technical world, modelers find it easier to interface with computers r...
David M. Ferrin, Richard P. Lavecchia
WSC
2000
15 years 7 months ago
3D visualization of simulated construction operations
Significant advances have been made in the field of construction process modeling. However, no convenient graphical support tools exist that can depict the modeled operations in 3...
Vineet R. Kamat, Julio C. Martínez
BMCBI
2008
128views more  BMCBI 2008»
15 years 6 months ago
Pairwise covariance adds little to secondary structure prediction but improves the prediction of non-canonical local structure
Background: Amino acid sequence probability distributions, or profiles, have been used successfully to predict secondary structure and local structure in proteins. Profile models ...
Christopher Bystroff, Bobbie-Jo M. Webb-Robertson
CVIU
2007
152views more  CVIU 2007»
15 years 6 months ago
A random sampling strategy for piecewise planar scene segmentation
We investigate the problem of automatically creating 3D models of man-made environments that we represent as collections of textured planes. A typical approach is to automatically...
Adrien Bartoli