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AROBOTS
2011
14 years 4 months ago
Learning GP-BayesFilters via Gaussian process latent variable models
Abstract— GP-BayesFilters are a general framework for integrating Gaussian process prediction and observation models into Bayesian filtering techniques, including particle filt...
Jonathan Ko, Dieter Fox
PVM
2007
Springer
15 years 3 months ago
Practical Model-Checking Method for Verifying Correctness of MPI Programs
Formal program verification often requires creating a model of the program and running it through a model-checking tool. However, this model-creation step is itself error prone, t...
Salman Pervez, Ganesh Gopalakrishnan, Robert M. Ki...
IJCV
2000
195views more  IJCV 2000»
14 years 9 months ago
Optical Flow Constraints on Deformable Models with Applications to Face Tracking
Optical flow provides a constraint on the motion of a deformable model. We derive and solve a dynamic system incorporating flow as a hard constraint, producing a model-based least...
Douglas DeCarlo, Dimitris N. Metaxas
EDBT
2008
ACM
149views Database» more  EDBT 2008»
15 years 9 months ago
A probabilistic trust model for semantic peer to peer systems
Semantic peer to peer (P2P) systems are fully decentralized overlay networks of people or machines (called peers) sharing and searching varied resources (documents, videos, photos...
Gia Hien Nguyen, Philippe Chatalic, Marie-Christin...
ECAI
2008
Springer
14 years 11 months ago
A probabilistic trust model for semantic peer-to-peer systems
Semantic peer to peer (P2P) systems are fully decentralized overlay networks of people or machines (called peers) sharing and searching varied resources (documents, videos, photos...
Gia Hien Nguyen, Philippe Chatalic, Marie-Christin...