Learning optimal linear filters for edge detection
Edge detection is important both for its practical applications to computer vision as well as its relationship to early processing in the visual cortex. We describe experiments in which the back-propagation learning algorithm was used to learn sets of linear filters for the task of determining the o...
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| Language: | English |
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University of British Columbia
2010
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| Online Access: | http://hdl.handle.net/2429/30347 |