Sciweavers

1137 search results - page 6 / 228
» Parametric Process Model Inference
Sort
View
130
Voted
AAAI
2008
15 years 4 months ago
Multi-HDP: A Non Parametric Bayesian Model for Tensor Factorization
Matrix factorization algorithms are frequently used in the machine learning community to find low dimensional representations of data. We introduce a novel generative Bayesian pro...
Ian Porteous, Evgeniy Bart, Max Welling
75
Voted
ICIP
2000
IEEE
16 years 3 months ago
Topology Preserving Deformable Image Matching Using Constrained Hierarchical Parametric Models
Olivier Musse, Fabrice Heitz, Jean-Paul Armspach
111
Voted
ICIP
2009
IEEE
16 years 3 months ago
Lidar Waveform Modeling Using A Marked Point Process
Lidar waveforms are 1D signal consisting of a train of echoes where each of them correspond to a scattering target of the Earth surface. Modeling these echoes with the appropriate...
ICIP
2007
IEEE
16 years 3 months ago
Joint Localization and Parameter Estimation for Localized Calcium Release Events in Video Microscopy
This paper addresses modeling and inference for localized calcium release events observed in cardiac muscle tissue known as sparks, a recently discovered and little-understood phe...
Benjamin P. Olding, Patrick J. Wolfe
108
Voted
FLAIRS
2006
15 years 3 months ago
Decomposing Local Probability Distributions in Bayesian Networks for Improved Inference and Parameter Learning
A major difficulty in building Bayesian network models is the size of conditional probability tables, which grow exponentially in the number of parents. One way of dealing with th...
Adam Zagorecki, Mark Voortman, Marek J. Druzdzel