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A simple feature extraction for high dimensional image representations

Published on Feb 25, 20075248 Views

We investigate a method to find local clusters in low dimensional subspaces of high dimensional data, e.g. in high dimensional image descriptions. Using cluster centers instead of the full set of data

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