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EVENT
2001
139views more  EVENT 2001»
15 years 7 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»
15 years 7 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
15 years 7 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»
15 years 6 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»
15 years 6 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