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FOSSACS
2003
Springer
15 years 2 months ago
An Intrinsic Characterization of Approximate Probabilistic Bisimilarity
In previous work we have investigated a notion of approximate bisimilarity for labelled Markov processes. We argued that such a notion is more realistic and more feasible to compu...
Franck van Breugel, Michael W. Mislove, Joël ...
BMCBI
2004
208views more  BMCBI 2004»
14 years 9 months ago
Using 3D Hidden Markov Models that explicitly represent spatial coordinates to model and compare protein structures
Background: Hidden Markov Models (HMMs) have proven very useful in computational biology for such applications as sequence pattern matching, gene-finding, and structure prediction...
Vadim Alexandrov, Mark Gerstein
ICRA
2009
IEEE
151views Robotics» more  ICRA 2009»
15 years 4 months ago
Probabilistic estimation of Multi-Level terrain maps
— Recent research has shown that robots can model their world with Multi-Level (ML) surface maps, which utilize ‘patches’ in a 2D grid space to represent various environment ...
Cesar Rivadeneyra, Isaac Miller, Jonathan R. Schoe...
ICIP
2003
IEEE
15 years 11 months ago
Robust statistical registration of 3D ultrasound images using texture information
We investigate a new registration method for ultrasound volumes relying on on a statistical texture-basedsimilarity measure. Texture information is given by spatial Gabor filters ...
R. Francois, Ronan Fablet, Christian Barillot
PAMI
2007
166views more  PAMI 2007»
14 years 9 months ago
A Bayesian, Exemplar-Based Approach to Hierarchical Shape Matching
—This paper presents a novel probabilistic approach to hierarchical, exemplar-based shape matching. No feature correspondence is needed among exemplars, just a suitable pairwise ...
Dariu Gavrila