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» Hierarchical Unsupervised Learning
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ICIP
2007
IEEE
14 years 10 months ago
Unsupervised Modeling of Object Tracks for Fast Anomaly Detection
A key goal of far-field activity analysis is to learn the usual pattern of activity in a scene and to detect statistically anomalous behavior. We propose a method for unsupervised...
Tomas Izo, W. Eric L. Grimson
ECML
2004
Springer
14 years 2 months ago
Model Approximation for HEXQ Hierarchical Reinforcement Learning
HEXQ is a reinforcement learning algorithm that discovers hierarchical structure automatically. The generated task hierarchy repthe problem at different levels of abstraction. In ...
Bernhard Hengst
ISMIR
2005
Springer
165views Music» more  ISMIR 2005»
14 years 2 months ago
Inferring Efficient Hierarchical Taxonomies for MIR Tasks: Application to Musical Instruments
A number of approaches for automatic audio classification are based on hierarchical taxonomies since it is acknowledged that improved performance can be thereby obtained. In this...
Slim Essid, Gaël Richard, Bertrand David
ICML
2007
IEEE
14 years 9 months ago
Unsupervised prediction of citation influences
Publication repositories contain an abundance of information about the evolution of scientific research areas. We address the problem of creating a visualization of a research are...
Laura Dietz, Steffen Bickel, Tobias Scheffer
MLDM
2009
Springer
14 years 3 months ago
Dynamic Score Combination: A Supervised and Unsupervised Score Combination Method
In two-class score-based problems the combination of scores from an ensemble of experts is generally used to obtain distributions for positive and negative patterns that exhibit a ...
Roberto Tronci, Giorgio Giacinto, Fabio Roli