Invariant representations of images for better learning
نویسندگان
چکیده
We study the problem of obtaining representations of images which are invariant to transformation of the image under rotations, towards improving supervised learning. We show that using simple ideas from group representation theory we get invariant representations of images. Off the shelf learning algorithms perform much better on such representations. We develop on ideas by Cohen and Welling [1] to construct these invariant representations.
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تاریخ انتشار 2017