15120 search results - page 39 / 3024 » Learning with Local Models |
110
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NAACL
2010
15 years 2 days ago
2010
We show how features can easily be added to standard generative models for unsupervised learning, without requiring complex new training methods. In particular, each component mul...
101
Voted
ICASSP
2011
IEEE
14 years 5 months ago
2011
IEEE
We present a motion classification approach to detect movements of interest (abnormal motion) based on local feature modeling within spatio-temporal detectors. The modeling is pe...
109
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ADVCS
2007
15 years 2 months ago
2007
Cellular learning automata is a combination of learning automata and cellular automata. This model is superior to cellular learning automata because of its ability to learn and als...
126
Voted
ECCV
2002
Springer
16 years 4 months ago
2002
Springer
Abstract. In many vision problems, the observed data lies in a nonlinear manifold in a high-dimensional space. This paper presents a generic modelling scheme to characterize the no...
126
Voted
CVPR
2009
IEEE
16 years 9 months ago
2009
IEEE
We propose a space-time Markov Random Field (MRF)
model to detect abnormal activities in video. The nodes in
the MRF graph correspond to a grid of local regions in the
video fra...