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CVPR
2008
IEEE
16 years 6 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...
164
Voted
IPCV
2008
15 years 5 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»
15 years 5 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»
15 years 5 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»
15 years 4 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