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» A Marked Point Process for Modeling Lidar Waveforms
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ICIP
2003
IEEE
14 years 7 months ago
Road network extraction in remote sensing by a Markov object process
In this paper, we rely on the theory of marked point processes to perform an unsupervised road network extraction from optical and radar images. A road network is modeled by a Mar...
Caroline Lacoste, Xavier Descombes, Josiane Zerubi...
GIS
2010
ACM
13 years 3 months ago
Natural neighbor interpolation based grid DEM construction using a GPU
With modern LiDAR technology the amount of topographic data, in the form of massive point clouds, has increased dramatically. One of the most fundamental GIS tasks is to construct...
Alex Beutel, Thomas Mølhave, Pankaj K. Agar...
BMVC
2000
13 years 7 months ago
Parallel Chains, Delayed Rejection and Reversible Jump MCMC for Object Recognition
We tackle the problem of object recognition using a Bayesian approach. A marked point process [1] is used as a prior model for the (unknown number of) objects. A sample is generat...
M. Harkness, P. Green
JUCS
2007
95views more  JUCS 2007»
13 years 5 months ago
Using Place Invariants and Test Point Placement to Isolate Faults in Discrete Event Systems
: This paper describes a method of using Petri net P-invariants in system diagnosis. To model this process a net oriented fault classification is presented. Hence, the considered d...
Iwan Tabakow
ICCD
2004
IEEE
128views Hardware» more  ICCD 2004»
14 years 2 months ago
Static Transition Probability Analysis Under Uncertainty
Deterministic gate delay models have been widely used to find the transition probabilities at the nodes of a circuit for calculating the power dissipation. However, with progress...
Siddharth Garg, Siddharth Tata, Ravishankar Arunac...