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EVENT
2001
139views more  EVENT 2001»
14 years 11 months ago
Hierarchical Motion History Images for Recognizing Human Motion
There has been a recent and increasing interest in computer analysis and recognition of human motion. Previously we presented an efficient real-time approach for representing huma...
James W. Davis
NCI
2004
185views Neural Networks» more  NCI 2004»
14 years 11 months ago
Hierarchical reinforcement learning with subpolicies specializing for learned subgoals
This paper describes a method for hierarchical reinforcement learning in which high-level policies automatically discover subgoals, and low-level policies learn to specialize for ...
Bram Bakker, Jürgen Schmidhuber
FLAIRS
1998
14 years 11 months ago
A Hierarchical Shape Representation for Vision-Guided Robotics
Using an adequate representation is often the key to solve complex problems in Artificial Intelligence. Hierarchical shape representations are very convenient in domains -such as ...
Begoña Martínez-Salvador, Angel P. D...
CLASSIFICATION
2008
73views more  CLASSIFICATION 2008»
14 years 10 months ago
Solving Non-Uniqueness in Agglomerative Hierarchical Clustering Using Multidendrograms
: In agglomerative hierarchical clustering, pair-group methods suffer from a problem of non-uniqueness when two or more distances between different clusters coincide during the ama...
Alberto Fernández, Sergio Gómez
PRL
2008
135views more  PRL 2008»
14 years 10 months ago
A hierarchical clustering algorithm based on the Hungarian method
We propose a novel hierarchical clustering algorithm for data-sets in which only pairwise distances between the points are provided. The classical Hungarian method is an efficient...
Jacob Goldberger, Tamir Tassa