Optimal, Unsupervised Learning in Invariant Object Recognition
نویسندگان
چکیده
منابع مشابه
Optimal, Unsupervised Learning in Invariant Object Recognition
A means for establishing transformation-invariant representations of objects is proposed and analyzed, in which different views are associated on the basis of the temporal order of the presentation of these views, as well as their spatial similarity. Assuming knowledge of the distribution of presentation times, an optimal linear learning rule is derived. Simulations of a competitive network tra...
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A means for establishing transformation invariant representations of objects at the single cell level is proposed and analysed. The association of views of objects is achieved by using both the temporal order of the presentation of these views, as well as their spatial similarity. Assuming knowledge of the distribution of presentation times, an optimal linear learning rule is derived. If we ass...
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Recognizing objects is difficult because it requires both linking views of an object that can be different and distinguishing objects with similar appearance. Interestingly, people can learn to recognize objects across views in an unsupervised way, without feedback, just from the natural viewing statistics. However, there is intense debate regarding what information during unsupervised learning...
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ژورنال
عنوان ژورنال: Neural Computation
سال: 1997
ISSN: 0899-7667,1530-888X
DOI: 10.1162/neco.1997.9.4.883