9783540573944 - Artificial Perception and Music Recognition: 746 (Lecture Notes in Computer Science, 746) de Tanguiane, Andranick S. (10 resultados)

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Softcover. 23,5 x 15,5 cm. Original brochure. 210 pages. Former possession of a library with stamps and signatures. Inside clean. Good condition. --- 210 Seiten. Originalkarton. Regulär ausgeschiedenes Exemplar mit Stempel und Signatur auf Einband - Rücken und Titelrückseite. Innen sauber, die Bindung intakt. Ganz guter Gesamtzustand. Name and Subject Index. // ISBN Springer New York: 0387573941 -- Bitte Portokosten außerhalb EU erfragen! / Please ask for postage costs outside EU! / S ' il vous plait demander des frais de port en dehors de l ' UE! // Bitte beachten Sie auch unsere Fotos! / Please also note our photos! / Veuillez noter nos photos -- Nehmen Sie sich ein gutes Buch mit auf die Sommerwiese. Bei uns werden Sie fündig! -- Wir kaufen Ihre werthaltigen Bücher! K01131-200562.

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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This monograph presents the author's studies in musicrecognition aimed at developing a computer system forautomatic notation of performed music. The performance ofsuch a system is supposed to be similar to that of speechrecognition systems: acoustical data at the input and musicscoreprinting at the output.The approach to pattern recognition employed is thatofartificial perception, based on self-organizing input datain order to segregate patterns before their identificationby artificial intelligencemethods. The special merit of theapproach is that it finds optimal representations of datainstead of directly recognizing patterns.

Taschenbuch. Condición: Neu. Artificial Perception and Music Recognition | Andranick S. Tanguiane | Taschenbuch | xv | Englisch | 1993 | Springer | EAN 9783540573944 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Condición: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | This monograph presents the author's studies in musicrecognition aimed at developing a computer system forautomatic notation of performed music. The performance ofsuch a system is supposed to be similar to that of speechrecognition systems: acoustical data at the input and musicscoreprinting at the output.The approach to pattern recognition employed is thatofartificial perception, based on self-organizing input datain order to segregate patterns before their identificationby artificial intelligencemethods. The special merit of theapproach is that it finds optimal representations of datainstead of directly recognizing patterns.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This monograph presents the author s studies in musicrecognition aimed at developing a computer system forautomatic notation of performed music. The performance ofsuch a system is supposed to be similar to that of speechrecognition systems: acous.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This monograph presents the author's studies in musicrecognition aimed at developing a computer system forautomatic notation of performed music. The performance ofsuch a system is supposed to be similar to that of speechrecognition systems: acoustical data at the input and musicscoreprinting at the output.The approach to pattern recognition employed is thatofartificial perception, based on self-organizing input datain order to segregate patterns before their identificationby artificial intelligencemethods. The special merit of theapproach is that it finds optimal representations of datainstead of directly recognizing patterns. 232 pp. Englisch.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This monograph presents the author's studies in musicrecognition aimed at developing a computer system for automatic notation of performed music. The performance of such a system is supposed to be similar to that of speech recognition systems: acoustical data at the input and music scoreprinting at the output. The approach to pattern recognition employed is thatof artificial perception, based on self-organizing input data in order to segregate patterns before their identification by artificial intelligencemethods. The special merit of the approach is that it finds optimal representations of data instead of directly recognizing patterns.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 232 pp. Englisch.