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ESANN
2001

Rectified Gaussian distributions and the formation of local filters from video data

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Rectified Gaussian distributions and the formation of local filters from video data
We investigate the use of an unsupervised artificial neural network to form a sparse representation of the underlying causes in a data set. By using fixed lateral connections that are derived from the Rectified Generalised Gaussian distribution, we form a network that is capable of identifying multiple cause structure in visual data and grouping similar causes together on the output response of the network. We show that the network may be used to form local spatiotemporal filters in response to real images contained in video data.
Emilio Corchado, Darryl Charles, Colin Fyfe
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2001
Where ESANN
Authors Emilio Corchado, Darryl Charles, Colin Fyfe
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