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Synopsis
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.
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About the Author
Krisztian Antal Buza obtained his diploma at the Budapest University of Technology and Economics in 2007, and his PhD at the University of Hildesheim in 2011. His work on time-series classification was honored by the Best Paper Award at the renowned conference on Computational Science and Engineering of the Institute of Electrical and Electronics Engineers (IEEE) in 2010.
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Fusion Methods for Time-Series Classification
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Peter Lang Ltd. International Academic Publishers Nov 2011, 2011
ISBN 10: 3631630859
ISBN 13: 9783631630853
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 144 pp. Englisch. Seller Inventory # 9783631630853
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Fusion Methods for Time-Series Classification
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.; Dissertationsschrift. Seller Inventory # 9783631630853
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