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» Approximate Learning of Dynamic Models
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153
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CVPR
2005
IEEE
16 years 4 months ago
A Dynamic Conditional Random Field Model for Object Segmentation in Image Sequences
This paper presents a dynamic conditional random field (DCRF) model to integrate contextual constraints for object segmentation in image sequences. Spatial and temporal dependenci...
Qiang Ji, Yang Wang 0002
130
Voted
CDC
2009
IEEE
122views Control Systems» more  CDC 2009»
15 years 11 days ago
Reduced complexity models in the identification of dynamical networks: Links with sparsification problems
In many applicative scenarios it is important to derive information about the topology and the internal connections of more dynamical systems interacting together. Examples can be ...
Donatello Materassi, Giacomo Innocenti, Laura Giar...
CPHYSICS
2007
96views more  CPHYSICS 2007»
15 years 2 months ago
Simple models for biomembrane structure and dynamics
Simulation of biomembranes over length and time scales relevant to cellular biology is not currently feasible with molecular dynamics including full atomic detail. Barring an unfo...
Frank L. H. Brown
113
Voted
JCSS
2007
85views more  JCSS 2007»
15 years 2 months ago
A general dimension for query learning
We introduce a combinatorial dimension that characterizes the number of queries needed to exactly (or approximately) learn concept classes in various models. Our general dimension...
José L. Balcázar, Jorge Castro, Davi...
128
Voted
AAAI
2010
15 years 4 months ago
Efficient Belief Propagation for Utility Maximization and Repeated Inference
Many problems require repeated inference on probabilistic graphical models, with different values for evidence variables or other changes. Examples of such problems include utilit...
Aniruddh Nath, Pedro Domingos