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Classifying Music Performance - Using k-Nearest Neighbour Classification - Soh, Chew May Joyce / Tischer, Peter / Shetty, Pravin
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Soh, Chew May Joyce / Tischer, Peter / Shetty, Pravin:
Classifying Music Performance - Using k-Nearest Neighbour Classification - Paperback

2010, ISBN: 9783639245424

[ED: Taschenbuch / Paperback], [PU: VDM Verlag Dr. Müller], A performance is the execution of a sequence of actions. In a musical performance, some of the actions are dictated by the score. Other decisions made by the performer give the performance its character and individuality. Therefore, this project aims to identify these kinds of decisions and to extract information about these in as features from the performance. A computer program can be used to analyze the features of a performance and to classify whether a performance is consistent with a given performance profile. We propose and investigate two approaches for determining the underlying beat of a performance. A general structure for k-nearest neighbor (k-NN) classifier was developed. This involved consideration of 4 main issues: the choice of k, the choice of distance function, the way information from the nearest neighbors is used to produce the classification and how a k-NN classifier can indicate what confidence might be placed in the classification it returns. A general review of k-NN classification schemes with respect to these 4 main issues was undertaken, as was a design for software implementing a general k-NN classification scheme., DE, [SC: 0.00], Neuware, gewerbliches Angebot, 164, Selbstabholung und Barzahlung, PayPal, offene Rechnung, Banküberweisung, Internationaler Versand

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Classifying Music Performance - Using k-Nearest Neighbour Classification - Soh, Chew May Joyce / Tischer, Peter / Shetty, Pravin
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(*)
Soh, Chew May Joyce / Tischer, Peter / Shetty, Pravin:
Classifying Music Performance - Using k-Nearest Neighbour Classification - Paperback

2010, ISBN: 9783639245424

[ED: Taschenbuch / Paperback], [PU: VDM Verlag Dr. Müller], A performance is the execution of a sequence of actions. In a musical performance, some of the actions are dictated by the score. Other decisions made by the performer give the performance its character and individuality. Therefore, this project aims to identify these kinds of decisions and to extract information about these in as features from the performance. A computer program can be used to analyze the features of a performance and to classify whether a performance is consistent with a given performance profile. We propose and investigate two approaches for determining the underlying beat of a performance. A general structure for k-nearest neighbor (k-NN) classifier was developed. This involved consideration of 4 main issues: the choice of k, the choice of distance function, the way information from the nearest neighbors is used to produce the classification and how a k-NN classifier can indicate what confidence might be placed in the classification it returns. A general review of k-NN classification schemes with respect to these 4 main issues was undertaken, as was a design for software implementing a general k-NN classification scheme., DE, Neuware, gewerbliches Angebot, 164, Selbstabholung und Barzahlung, PayPal, offene Rechnung, Banküberweisung, Internationaler Versand

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Classifying Music Performance - Chew May Joyce Soh#Peter Tischer#Pravin Shetty
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Chew May Joyce Soh#Peter Tischer#Pravin Shetty:
Classifying Music Performance - new book

2010, ISBN: 9783639245424

ID: 808891365

A performance is the execution of a sequence of actions. In a musical performance, some of the actions are dictated by the score. Other decisions made by the performer give the performance its character and individuality. Therefore, this project aims to identify these kinds of decisions and to extract information about these in as features from the performance. A computer program can be used to analyze the features of a performance and to classify whether a performance is consistent with a given performance profile. We propose and investigate two approaches for determining the underlying beat of a performance. A general structure for k-nearest neighbor (k-NN) classifier was developed. This involved consideration of 4 main issues: the choice of k, the choice of distance function, the way information from the nearest neighbors is used to produce the classification and how a k-NN classifier can indicate what confidence might be placed in the classification it returns. A general review of k-NN classification schemes with respect to these 4 main issues was undertaken, as was a design for software implementing a general k-NN classification scheme. Using k-Nearest Neighbour Classification Buch (fremdspr.) Taschenbuch 01.03.2010 Bücher>Fremdsprachige Bücher>Englische Bücher, VDM, .201

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Classifying Music Performance - Chew May Joyce Soh#Peter Tischer#Pravin Shetty
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Chew May Joyce Soh#Peter Tischer#Pravin Shetty:
Classifying Music Performance - new book

ISBN: 9783639245424

ID: 836190773

A performance is the execution of a sequence of actions. In a musical performance, some of the actions are dictated by the score. Other decisions made by the performer give the performance its character and individuality. Therefore, this project aims to identify these kinds of decisions and to extract information about these in as features from the performance. A computer program can be used to analyze the features of a performance and to classify whether a performance is consistent with a given performance profile. We propose and investigate two approaches for determining the underlying beat of a performance. A general structure for k-nearest neighbor (k-NN) classifier was developed. This involved consideration of 4 main issues: the choice of k, the choice of distance function, the way information from the nearest neighbors is used to produce the classification and how a k-NN classifier can indicate what confidence might be placed in the classification it returns. A general review of k-NN classification schemes with respect to these 4 main issues was undertaken, as was a design for software implementing a general k-NN classification scheme. Using k-Nearest Neighbour Classification Buch (fremdspr.) Bücher>Fremdsprachige Bücher>Englische Bücher, VDM

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Classifying Music Performance Using k-Nearest Neighbour Classification - Soh, Chew May Joyce; Tischer, Peter; Shetty, Pravin
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Soh, Chew May Joyce; Tischer, Peter; Shetty, Pravin:
Classifying Music Performance Using k-Nearest Neighbour Classification - new book

2010, ISBN: 3639245423

ID: A8634638

Kartoniert / Broschiert, mit Schutzumschlag neu, [PU:VDM Verlag]

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Details of the book
Classifying Music Performance: Using k-Nearest Neighbour Classification

A performance is the execution of a sequence of actions. In a musical performance, some of the actions are dictated by the score. Other decisions made by the performer give the performance its character and individuality. Therefore, this project aims to identify these kinds of decisions and to extract information about these in as features from the performance. A computer program can be used to analyze the features of a performance and to classify whether a performance is consistent with a given performance profile. We propose and investigate two approaches for determining the underlying beat of a performance. A general structure for k-nearest neighbor (k-NN) classifier was developed. This involved consideration of 4 main issues: the choice of k, the choice of distance function, the way information from the nearest neighbors is used to produce the classification and how a k-NN classifier can indicate what confidence might be placed in the classification it returns. A general review of k-NN classification schemes with respect to these 4 main issues was undertaken, as was a design for software implementing a general k-NN classification scheme.

Details of the book - Classifying Music Performance: Using k-Nearest Neighbour Classification


EAN (ISBN-13): 9783639245424
ISBN (ISBN-10): 3639245423
Hardcover
Paperback
Publishing year: 2010
Publisher: VDM Verlag

Book in our database since 28.04.2007 23:08:53
Book found last time on 27.05.2018 19:31:02
ISBN/EAN: 9783639245424

ISBN - alternate spelling:
3-639-24542-3, 978-3-639-24542-4


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