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Compressive neural representation of sparse, high-dimensional probabilities

Published on Jan 14, 20134246 Views

This paper shows how sparse, high-dimensional probability distributions could be represented by neurons with exponential compression. The representation is a novel application of compressive sensing t

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Compressive neural representation of sparse, high-dimensional probabilities00:00
Random perceptrons01:55
Verify information by L1 reconstruction*02:35
Compression preserves important relationships02:53