Exploiting application locality to design low-complexity, highly performing, and power-aware embedded classifiers

Abstract

Temporal and spatial locality of the inputs, i.e., the property allowing a classifier to receive the same samples over time-or samples belonging to a neighborhood-with high probability, can be translated into the design of embedded classifiers. The outcome is a computational complexity and power aware design particularly suitable for implementation. A… (More)
DOI: 10.1109/TNN.2006.872345

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