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» Markov dynamic models for long-timescale protein motion
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CORR
2010
Springer
103views Education» more  CORR 2010»
13 years 6 months ago
BioBlender: a Software for Intuitive Representation of Surface Properties of Biomolecules
In this and the associated article BioBlender: A Software for Intuitive Representation of Surface Properties of Biomolecules [1], we present BioBlender as a complete instrument fo...
Raluca Mihaela Andrei, Marco Callieri, Maria Franc...
NAR
2008
73views more  NAR 2008»
13 years 7 months ago
LocalMove: computing on-lattice fits for biopolymers
Given an input Protein Data Bank file (PDB) for a protein or RNA molecule, LocalMove is a web server that determines an on-lattice representation for the input biomolecule. The we...
Yann Ponty, R. Istrate, E. Porcelli, Peter Clote
CVPR
1999
IEEE
14 years 9 months ago
Time-Series Classification Using Mixed-State Dynamic Bayesian Networks
We present a novel mixed-state dynamic Bayesian network (DBN) framework for modeling and classifying timeseries data such as object trajectories. A hidden Markov model (HMM) of di...
Vladimir Pavlovic, Brendan J. Frey, Thomas S. Huan...
BMCBI
2010
229views more  BMCBI 2010»
13 years 7 months ago
Mocapy++ - A toolkit for inference and learning in dynamic Bayesian networks
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
Martin Paluszewski, Thomas Hamelryck
CVPR
2010
IEEE
14 years 3 months ago
Tracking with Local Spatio-Temporal Motion Patterns in Extremely Crowded Scenes
Tracking individuals in extremely crowded scenes is a challenging task, primarily due to the motion and appearance variability produced by the large number of people within the sc...
Louis Kratz, Ko Nishino