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CVPR
2008
IEEE
14 years 11 months ago
Trajectory analysis and semantic region modeling using a nonparametric Bayesian model
We propose a novel nonparametric Bayesian model, Dual Hierarchical Dirichlet Processes (Dual-HDP), for trajectory analysis and semantic region modeling in surveillance settings, i...
Xiaogang Wang, Keng Teck Ma, Gee Wah Ng, W. Eric L...
IPCV
2008
13 years 10 months ago
Robust Hough-Based Symbol Recognition Using Knowledge-Based Hierarchical Neural Networks
Abstract - A robust method for symbol recognition is presented that utilizes a compact signature based on a modified Hough Transform (HT) and knowledge-based hierarchical neural ne...
Alexander Wong, William Bishop
NCI
2004
185views Neural Networks» more  NCI 2004»
13 years 10 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
PARMA
2004
114views Database» more  PARMA 2004»
13 years 10 months ago
PatManQL: A Language to Manipulate Patterns and Data in Hierarchical Catalogs
Hierarchical structures and catalogs is a way to organize and enrich semantically the available information in the Web. From simple tree-like structures with syntactic constraints ...
Panagiotis Bouros, Theodore Dalamagas, Timos K. Se...
JSAC
2008
56views more  JSAC 2008»
13 years 9 months ago
An efficient hierarchical optical path network design algorithm based on a traffic demand expression in a cartesian product spac
We propose a hierarchical optical path network design algorithm. In order to efficiently accommodate wavelength paths in each waveband path, we define a source-destination Cartesia...
Isao Yagyu, Hiroshi Hasegawa, Ken-ichi Sato