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» Observational learning in an uncertain world
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RA
2003
135views Robotics» more  RA 2003»
13 years 8 months ago
Behavioural Cloning and Robot Control
Behavioural cloning is a method by which a machine learns control skills through observing what a human controller would do in a certain set of circumstances. More specifically, t...
Claire D'Este, Mark O'Sullivan, Nicholas Hannah
ETS
2002
IEEE
116views Hardware» more  ETS 2002»
13 years 7 months ago
Human Activity Systems: A Theoretical Framework for Designing Learning for Multicultural Settings
In the analysis of any learning environment, whether small or large, one observes within it a "set of human activities related to each other so they can be viewed as a whole&...
Jill Slay
CIKM
2009
Springer
14 years 2 months ago
Incremental query evaluation for support vector machines
Support vector machines (SVMs) have been widely used in multimedia retrieval to learn a concept in order to find the best matches. In such a SVM active learning environment, the ...
Danzhou Liu, Kien A. Hua
ICCV
2007
IEEE
14 years 9 months ago
Stochastic Adaptive Tracking In A Camera Network
We present a novel stochastic, adaptive strategy for tracking multiple people in a large network of video cameras. Similarities between features (appearance and biometrics) observ...
Bi Song, Amit K. Roy Chowdhury
NIPS
1998
13 years 8 months ago
Learning Nonlinear Dynamical Systems Using an EM Algorithm
The Expectation Maximization EM algorithm is an iterative procedure for maximum likelihood parameter estimation from data sets with missing or hidden variables 2 . It has been app...
Zoubin Ghahramani, Sam T. Roweis