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DAGSTUHL
2006
15 years 8 months ago
Hierarchies Relating Topology and Geometry
Cognitive Vision has to represent, reason and learn about objects in its environment it has to manipulate and react to. There are deformable objects like humans which cannot be des...
Walter G. Kropatsch, Yll Haxhimusa, Pascal Lienhar...
AAAI
1990
15 years 7 months ago
Constructor: A System for the Induction of Probabilistic Models
The probabilistic network technology is a knowledgebased technique which focuses on reasoning under uncertainty. Because of its well defined semantics and solid theoretical founda...
Robert M. Fung, Stuart L. Crawford
BMCBI
2010
229views more  BMCBI 2010»
15 years 6 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
DCG
2010
289views more  DCG 2010»
15 years 6 months ago
Algorithms for Approximate Shortest Path Queries on Weighted Polyhedral Surfaces
We consider the well known geometric problem of determining shortest paths between pairs of points on a polyhedral surface P, where P consists of triangular faces with positive we...
Lyudmil Aleksandrov, Hristo Djidjev, Hua Guo, Anil...
BMCBI
2006
101views more  BMCBI 2006»
15 years 6 months ago
Hierarchical modularity of nested bow-ties in metabolic networks
Background: The exploration of the structural topology and the organizing principles of genomebased large-scale metabolic networks is essential for studying possible relations bet...
Jing Zhao, Hong Yu, Jianhua Luo, Zhi-Wei Cao, Yi-X...