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» Extended Object Tracking Using Monte Carlo Methods
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UAI
1996
14 years 10 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
IPPS
2010
IEEE
14 years 7 months ago
On the parallelisation of MCMC by speculative chain execution
Abstract--The increasing availability of multi-core and multiprocessor architectures provides new opportunities for improving the performance of many computer simulations. Markov C...
Jonathan M. R. Byrd, Stephen A. Jarvis, Abhir H. B...
ICRA
2010
IEEE
226views Robotics» more  ICRA 2010»
14 years 8 months ago
Indoor scene recognition through object detection
Abstract— Scene recognition is a highly valuable perceptual ability for an indoor mobile robot, however, current approaches for scene recognition present a significant drop in p...
Pablo Espinace, Thomas Kollar, Alvaro Soto, Nichol...
PSIVT
2007
Springer
129views Multimedia» more  PSIVT 2007»
15 years 3 months ago
Multi-target Tracking with Poisson Processes Observations
This paper considers the problem of Bayesian inference in dynamical models with time-varying dimension. These models have been studied in the context of multiple target tracking pr...
Sergio Hernández, Paul Teal
IVC
2006
123views more  IVC 2006»
14 years 9 months ago
Multi camera image tracking
This paper presents a method for multi camera image tracking in the context of image surveillance. The approach differs from most methods in that we exploit multiple camera views ...
James Black, Tim Ellis