9786138956587 - content based image retrieval system using machine learning di upadhyay, rocky; degadwala, sheshang; upadhyay, shivam (9 risultati)
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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Da: preigu, Osnabrück, Germaniapreigu
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Taschenbuch. Condizione: Neu. Content based Image Retrieval System Using Machine Learning | Rocky Upadhyay (u. a.) | Taschenbuch | Englisch | 2021 | Scholars' Press | EAN 9786138956587 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books
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paperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, , GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Content based Image Retrieval Process Depending on New Matching Strategy. In this paper Proposed Model composed of four Major Phases: feature extraction, Dimensionality Reduction, ANN Classifier and Matching Strategy. feature extra…ction phase, it extracts a color and texture features, respectively, called color co-occurrence matrix (CCM) and difference between pixels of scan pattern (DBPSP). Dimensionality reduction technique selects the effective features that jointly have the largest dependency on the target class and minimal redundancy among themselves. The artificial neural network (ANN) in our proposed model serves as a classifier so that the selected features of query image are the input and its output is one of the multi classes that have the largest similarity to the query image. 60 pp. Englisch.
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Da: Majestic Books, Hounslow, , Regno UnitoMajestic Books
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Da: moluna, Greven, , Germaniamoluna
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Kartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Upadhyay RockyProf. Rocky Upadhyay Currently working as an Assistant Professor in Sigma Institute of Engineering. He is having more than seven years experience in field. He is…Pursuing Ph.d in Image Processing. His Masters is from SR.
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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EUR 45,90
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Content based Image Retrieval Process Depending on New Matching Strategy. In this paper Proposed Model composed of four Major Phases: feature extraction, Dimensionality Reduction, ANN Classifier and Matching Strategy. feature extractio…n phase, it extracts a color and texture features, respectively, called color co-occurrence matrix (CCM) and difference between pixels of scan pattern (DBPSP). Dimensionality reduction technique selects the effective features that jointly have the largest dependency on the target class and minimal redundancy among themselves. The artificial neural network (ANN) in our proposed model serves as a classifier so that the selected features of query image are the input and its output is one of the multi classes that have the largest similarity to the query image.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 60 pp. Englisch.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Content based Image Retrieval Process Depending on New Matching Strategy. In this paper Proposed Model composed of four Major Phases: feature extraction, Dimensionality Reduction, ANN Classifier and Matching Strategy. feature extraction… phase, it extracts a color and texture features, respectively, called color co-occurrence matrix (CCM) and difference between pixels of scan pattern (DBPSP). Dimensionality reduction technique selects the effective features that jointly have the largest dependency on the target class and minimal redundancy among themselves. The artificial neural network (ANN) in our proposed model serves as a classifier so that the selected features of query image are the input and its output is one of the multi classes that have the largest similarity to the query image.
