The last time that I got involved in my thesis for pattern rec, the growing problem for classification seemed to be unsolvable for super huge datasets (too much cross-categorization), and i believe back then i was basing it on k-clustering (or something with that name). How has that progressed so far?
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kevinwong, Convolutional neural networks are applied now. Convolutions form features. So trained perceptrone gets class of image. Now there are algorithms, that can recognize 1000 different classes!