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CORR
2011
Springer
219views Education» more  CORR 2011»
15 years 1 months ago
Active Markov Information-Theoretic Path Planning for Robotic Environmental Sensing
Recent research in multi-robot exploration and mapping has focused on sampling environmental fields, which are typically modeled using the Gaussian process (GP). Existing informa...
Kian Hsiang Low, John M. Dolan, Pradeep K. Khosla
ICML
2009
IEEE
16 years 7 months ago
Tractable nonparametric Bayesian inference in Poisson processes with Gaussian process intensities
The inhomogeneous Poisson process is a point process that has varying intensity across its domain (usually time or space). For nonparametric Bayesian modeling, the Gaussian proces...
Ryan Prescott Adams, Iain Murray, David J. C. MacK...
CVPR
2010
IEEE
15 years 9 months ago
Ray Markov Random Fields for Image-Based 3D Modeling: Model and Efficient Inference
In this paper, we present an approach to multi-view image-based 3D reconstruction by statistically inversing the ray-tracing based image generation process. The proposed algorithm...
Shubao Liu, David Cooper
QUESTA
1998
93views more  QUESTA 1998»
15 years 6 months ago
An approximation method for complete solutions of Markov-modulated fluid models
This paper presents an approximation method for numerically solving general Markov modulated fluid models which are widely used in modelling communications and computer systems. ...
David D. McDonald, Kun Qian
PE
2010
Springer
138views Optimization» more  PE 2010»
15 years 5 months ago
Trace data characterization and fitting for Markov modeling
We propose a trace fitting algorithm for Markovian Arrival Processes (MAPs) that can capture statistics of any order of interarrival times between measured events. By studying re...
Giuliano Casale, Eddy Z. Zhang, Evgenia Smirni