Features as Sufficient Statistics
نویسندگان
چکیده
An image is often represented by a set of detected features. We get an enormous compression by representing images in this way. Furthermore, we get a representation which is little affected by small amounts of noise in the image. However, features are typically chosen in an ad hoc manner. \Ve show how a good set of features can be obtained using sufficient statistics. The idea of sparse data representation naturally arises. We treat the I-dimensional and 2-dimensional signal reconstruction problem to make our ideas concrete.
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تاریخ انتشار 1997