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A voting-based sequential pattern recognition method.

Published in PloS one • Jan 1, 2013
NobleIDNI3P30W13R21S59
Authors:
Koichi Ogawara
,
Masahiro Fukutomi
,
Seiichi Uchida

Abstract

We propose a novel method for recognizing sequential patterns such as motion trajectory of biological objects (i.e., cells, organelle, protein molecules, etc.), human behavior motion, and meteorological data. In the proposed method, a local classifier is prepared for every point (or timing or frame)...

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