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An algorithm for non-supervised sequential classification of signals

Authors
Journal
Pattern Recognition Letters
0167-8655
Publisher
Elsevier
Publication Date
Volume
5
Issue
5
Identifiers
DOI: 10.1016/0167-8655(87)90071-7
Keywords
  • Non-Supervised
  • Equential Classification
  • Moving Average
  • Evolution
  • Pattern Vector Trajectory
Disciplines
  • Computer Science

Abstract

Abstract We propose a sequential classification algorithm for on-line analysis of signals. The detection of successive classes is based on the detection of transition sequences, each being associated to an evolution.

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