Unsupervised models for processing visual data
نویسندگان
چکیده
We discuss three aspects of modelling information extraction from visual data. Firstly, we discuss pre-processing issues in the context of stability and biological plausibility. Secondly, we discuss the problem of extraction of depth information from stereo data. Finally, we discuss the extraction of (almost) independent features from a data set. We use these three aspects of processing visual data to illustrate some of the successes and issues involved in using unsupervised learning with arti cial neural networks on such data sets.
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