Sinossi
Image classification, including object recognition and scene classification, remains to be a major challenge to the computer vision community. As machine can be able to extract information from an image and classify it in order to solve some tasks. Recently SVMs using Spatial Pyramid Matching (SPM) kernel have been highly successful in image classification. Despite its popularity, this technique cannot handle more than thousands of training images. In this paper we develop an extension of the SPM method, by generalizing Vector Quantization to Sparse Coding followed by multi-scale Spatial Max Pooling, and also propose a large scale linear classifier based on Scale Invariant Feature Transform (SIFT) and Sparse Codes. This new adapted algorithm remarkably can handle thousands of training images and classify them into different categories.
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Informazioni sull?autore
Mostafa Ibrahim elkhalil mostafa labib , Nationality: Egyptiangraduated from Faculty of computing and information Technology, Computer Science,2006Diploma in E-Business from ITI,2007Master in Computer Science from AASTMT,2013Current job is Multimedia Developer in IT Department,CULTNAt,Bibliotheca Alexandrina.
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Large Scale Linear Coding for Image Classification
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LAP LAMBERT Academic Publishing Jun 2014, 2014
ISBN 10: 365955135X
ISBN 13: 9783659551352
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Image classification, including object recognition and scene classification, remains to be a major challenge to the computer vision community. As machine can be able to extract information from an image and classify it in order to solve some tasks. Recently SVMs using Spatial Pyramid Matching (SPM) kernel have been highly successful in image classification. Despite its popularity, this technique cannot handle more than thousands of training images. In this paper we develop an extension of the SPM method, by generalizing Vector Quantization to Sparse Coding followed by multi-scale Spatial Max Pooling, and also propose a large scale linear classifier based on Scale Invariant Feature Transform (SIFT) and Sparse Codes. This new adapted algorithm remarkably can handle thousands of training images and classify them into different categories. 144 pp. Englisch. Codice articolo 9783659551352
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Large Scale Linear Coding for Image Classification
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Labib MostafaMostafa Ibrahim elkhalil mostafa labib , Nationality: Egyptiangraduated from Faculty of computing and information Technology, Computer Science,2006Diploma in E-Business from ITI,2007Master in Computer Science from AASTM. Codice articolo 5164243
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Large Scale Linear Coding for Image Classification
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LAP LAMBERT Academic Publishing Jun 2014, 2014
ISBN 10: 365955135X
ISBN 13: 9783659551352
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Image classification, including object recognition and scene classification, remains to be a major challenge to the computer vision community. As machine can be able to extract information from an image and classify it in order to solve some tasks. Recently SVMs using Spatial Pyramid Matching (SPM) kernel have been highly successful in image classification. Despite its popularity, this technique cannot handle more than thousands of training images. In this paper we develop an extension of the SPM method, by generalizing Vector Quantization to Sparse Coding followed by multi-scale Spatial Max Pooling, and also propose a large scale linear classifier based on Scale Invariant Feature Transform (SIFT) and Sparse Codes. This new adapted algorithm remarkably can handle thousands of training images and classify them into different categories.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 144 pp. Englisch. Codice articolo 9783659551352
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Large Scale Linear Coding for Image Classification
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LAP LAMBERT Academic Publishing, 2014
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ISBN 13: 9783659551352
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Image classification, including object recognition and scene classification, remains to be a major challenge to the computer vision community. As machine can be able to extract information from an image and classify it in order to solve some tasks. Recently SVMs using Spatial Pyramid Matching (SPM) kernel have been highly successful in image classification. Despite its popularity, this technique cannot handle more than thousands of training images. In this paper we develop an extension of the SPM method, by generalizing Vector Quantization to Sparse Coding followed by multi-scale Spatial Max Pooling, and also propose a large scale linear classifier based on Scale Invariant Feature Transform (SIFT) and Sparse Codes. This new adapted algorithm remarkably can handle thousands of training images and classify them into different categories. Codice articolo 9783659551352
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Large Scale Linear Coding for Image Classification
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Taschenbuch. Condizione: Neu. Large Scale Linear Coding for Image Classification | Mostafa Labib (u. a.) | Taschenbuch | 144 S. | Englisch | 2014 | LAP LAMBERT Academic Publishing | EAN 9783659551352 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Codice articolo 105239458
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Large Scale Linear Coding for Image Classification
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LAP LAMBERT Academic Publishing, 2014
ISBN 10: 365955135X
ISBN 13: 9783659551352
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paperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book. Codice articolo ERICA829365955135X6
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