In this paper we study the relationships among the Combination of Multiple Classifier design philosophy, application level properties such as temporal and spatial locality of the inputs and low level aspects immediately impacting on power consumption, cache miss and computational complexity reduction. The CMC structure requires a set of independent simple sub-classifiers, each of which ruling in an application sub-domain under the control of a master enabling module and is particularly appealing in embedded system implementation. Only a sub-classifier is active at a time, the others being switched off.

A 'combination of multiple classifier' design for low-complex, highly performing and power-aware classifiers / C. Alippi, F. Scotti - In: Proceedings of the International workshop on computational and biological learning society : Snowbird, Utah, USA, 6‐9 april 2004[s.l] : Computational and biological learning society, 2004 Apr. (( convegno Learning Workshop tenutosi a Snowbird, Utah nel 2004.

A 'combination of multiple classifier' design for low-complex, highly performing and power-aware classifiers

F. Scotti
Ultimo
2004-04

Abstract

In this paper we study the relationships among the Combination of Multiple Classifier design philosophy, application level properties such as temporal and spatial locality of the inputs and low level aspects immediately impacting on power consumption, cache miss and computational complexity reduction. The CMC structure requires a set of independent simple sub-classifiers, each of which ruling in an application sub-domain under the control of a master enabling module and is particularly appealing in embedded system implementation. Only a sub-classifier is active at a time, the others being switched off.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2434/180109
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