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» Process Algebra and Markov Chains
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CVPR
2009
IEEE
1216views Computer Vision» more  CVPR 2009»
15 years 2 months ago
Marked Point Processes for Crowd Counting
A Bayesian marked point process (MPP) model is developed to detect and count people in crowded scenes. The model couples a spatial stochastic process governing number and placem...
Robert T. Collins, Weina Ge
CAMAD
2009
IEEE
14 years 8 days ago
Basic Estimation of Markovian Pseudo Long-Range Dependent Processes
—The pseudo self similar processes are quite attractive due to their simplicity but the question we are interested in this paper concerns the basic estimation of such models. How...
Stephan Robert
ICIP
2009
IEEE
14 years 8 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...
NIPS
2008
13 years 9 months ago
Efficient Sampling for Gaussian Process Inference using Control Variables
Sampling functions in Gaussian process (GP) models is challenging because of the highly correlated posterior distribution. We describe an efficient Markov chain Monte Carlo algori...
Michalis Titsias, Neil D. Lawrence, Magnus Rattray
BIS
2009
131views Business» more  BIS 2009»
13 years 8 months ago
Organisational Ontology Framework for Semantic Business Process Management
The field of Semantic Business Process Management (SBPM) has refuelled interest in using ontologies for the representation of the static and dynamic aspects of an enterprise and va...
Agata Filipowska, Martin Hepp, Monika Kaczmarek, I...