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JGTOOLS
2008
100views more  JGTOOLS 2008»
13 years 7 months ago
Proximity Cluster Trees
Hierarchical spatial data structures provide a means for organizing data for efficient processing. Most spatial data structures are optimized for performing queries, such as inters...
Elena Jakubiak Hutchinson, Sarah F. Frisken, Ronal...
IWOCA
2009
Springer
134views Algorithms» more  IWOCA 2009»
14 years 2 months ago
Combinatorial Models for Cooperation Networks
Abstract. We analyze special random network models – so-called thickened trees – which are constructed by random trees where the nodes are replaced by local clusters. These obj...
Michael Drmota, Bernhard Gittenberger, Reinhard Ku...
CP
2010
Springer
13 years 5 months ago
Towards Parallel Non Serial Dynamic Programming for Solving Hard Weighted CSP
We introduce a parallelized version of tree-decomposition based dynamic programming for solving difficult weighted CSP instances on many cores. A tree decomposition organizes cost ...
David Allouche, Simon de Givry, Thomas Schiex
ICCV
2005
IEEE
14 years 9 months ago
Probabilistic Boosting-Tree: Learning Discriminative Models for Classification, Recognition, and Clustering
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
Zhuowen Tu
SCAM
2003
IEEE
14 years 29 days ago
Parse-Tree Annotations Meet Re-Engineering Concerns
We characterise a computational model for processing annotated parse trees. The model is basically rewriting-based with specific provisions for dealing with annotations along the...
Jan Kort, Ralf Lämmel