Segmentation Based Object Categorization: NP- Hard, Spectral Graph Theory, QR Algorithm - Tapa blanda
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Segmentation Based Object Categorization
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Omniscriptum Mär 2026, 2026
ISBN 10: 6131393664
ISBN 13: 9786131393662
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -High Quality Content by WIKIPEDIA articles! The image segmentation problem is concerned with partitioning an image into multiple regions according to some homogeneity criterion. This article is primarily concerned with graph theoretic approaches to image segmentation. OBJ CUT is an efficient method that automatically segments an object. The OBJ CUT method is a generic method, and therefore it is applicable to any object category model. Given an image D containing an instance of a known object category, e.g. cows, the OBJ CUT algorithm computes a segmentation of the object, that is, it infers a set of labels m. 64 pp. Englisch. Nº de ref. del artículo: 9786131393662
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Segmentation Based Object Categorization : NP- Hard, Spectral Graph Theory, QR Algorithm
Impresión bajo demandaLibrería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - High Quality Content by WIKIPEDIA articles! The image segmentation problem is concerned with partitioning an image into multiple regions according to some homogeneity criterion. This article is primarily concerned with graph theoretic approaches to image segmentation. OBJ CUT is an efficient method that automatically segments an object. The OBJ CUT method is a generic method, and therefore it is applicable to any object category model. Given an image D containing an instance of a known object category, e.g. cows, the OBJ CUT algorithm computes a segmentation of the object, that is, it infers a set of labels m. Nº de ref. del artículo: 9786131393662
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Segmentation Based Object Categorization | NP- Hard, Spectral Graph Theory, QR Algorithm
Impresión bajo demandaLibrería: preigu, Osnabrück, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Segmentation Based Object Categorization | NP- Hard, Spectral Graph Theory, QR Algorithm | Lambert M. Surhone (u. a.) | Taschenbuch | Englisch | 2026 | OmniScriptum | EAN 9786131393662 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. Nº de ref. del artículo: 113301078
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Imagen del vendedor
Segmentation Based Object Categorization
Publicado por
Omniscriptum Mär 2026, 2026
ISBN 10: 6131393664
ISBN 13: 9786131393662
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Please note that the content of this book primarily consists of articlesavailable from Wikipedia or other free sources online. The imagesegmentation problem is concerned with partitioning an image intomultiple regions according to some homogeneity criterion. This articleis primarily concerned with graph theoretic approaches to imagesegmentation. OBJ CUT is an efficient method that automatically segmentsan object. The OBJ CUT method is a generic method, and therefore it isapplicable to any object category model. Given an image D containing aninstance of a known object category, e.g. cows, the OBJ CUT algorithmcomputes a segmentation of the object, that is, it infers a set oflabels m.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 64 pp. Englisch. Nº de ref. del artículo: 9786131393662
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