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Fusion Methods for Time-Series Classification

Produktform: Buch / Einband - fest (Hardcover)

Time-series classification is the common theoretical background of many recognition tasks performed by computers, such as handwriting recognition, speech recognition or detection of abnormalities in electrocardiograph signals. In this book, the state-of-the-art in time-series classification is surveyed and five new techniques are presented. Four out of them aim at making the recognition more accurate, while the proposed instance-selection algorithm speeds up time-series classification. Besides time-series classification tasks, potential applications of the proposed techniques include problems from various domains, e.g. web science or medicine.weiterlesen

Dieser Artikel gehört zu den folgenden Serien

Sprache(n): Englisch

ISBN: 978-3-631-63085-3 / 978-3631630853 / 9783631630853

Verlag: Peter Lang GmbH, Internationaler Verlag der Wissenschaften

Erscheinungsdatum: 25.11.2011

Seiten: 144

Auflage: 1

Autor(en): Krisztian Antal Buza, Krisztian Buza

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