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» Sampling Methods for Unsupervised Learning
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109
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ICRA
1998
IEEE
144views Robotics» more  ICRA 1998»
15 years 6 months ago
Acquiring Mobile Robot Behaviors by Learning Trajectory Velocities with Multiple FAM Matrices
In this paper we describe an unsupervised robot learning method which is based on the robot learning a mapping between sensors and trajectory velocities. This enables the robot to...
Koren Ward, Alexander Zelinsky
ICPR
2008
IEEE
15 years 9 months ago
Image segmentation towards natural clusters
To find how many clusters in a sample set is an old yet unsolved problem in unsupervised clustering. Many segmentation methods require the user to specify the number of regions in...
Zhigang Tan, Nelson Hon Ching Yung
ICPR
2010
IEEE
15 years 7 months ago
Lattice-Based Anomaly Rectification for Sport Video Annotation
Anomaly detection has received much attention within the literature as a means of determining, in an unsupervised manner, whether a learning domain has changed in a fundamental way...
Aftab Khan, David Windridge, Teofilo De Campos
ML
2002
ACM
100views Machine Learning» more  ML 2002»
15 years 2 months ago
Structure in the Space of Value Functions
Solving in an efficient manner many different optimal control tasks within the same underlying environment requires decomposing the environment into its computationally elemental ...
David J. Foster, Peter Dayan
116
Voted
ACL
2009
15 years 13 days ago
Semi-supervised Learning of Dependency Parsers using Generalized Expectation Criteria
In this paper, we propose a novel method for semi-supervised learning of nonprojective log-linear dependency parsers using directly expressed linguistic prior knowledge (e.g. a no...
Gregory Druck, Gideon S. Mann, Andrew McCallum