On the usefulness of almost-redundant information for pattern recognition

Authors:
Marcos Faundez-Zanuy
Affiliations:
Escola Universitària Politècnica de Mataró, Mataro (Barcelona), Spain
Venue:
Nonlinear Speech Modeling and Applications
Year:
2005

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Abstract

In this paper we give some pedagogical explanation of those situations where the use of redundant or almost-redundant information can improve the recognition rates of pattern recognition systems. Thus, the main purpose of this paper is to summarize some well-known situations in the pattern recognition field, where the use of “invented”, almost-redundant information, etc., can help to improve the results.