Knowledge Transfer Between Computer Vision and Text Mining: Similarity-based Learning Approaches - Couverture souple

Livre 53 sur 86: Advances in Computer Vision and Pattern Recognition

Ionescu, Radu Tudor ; Popescu, Marius

9783319807911: Knowledge Transfer Between Computer Vision and Text Mining: Similarity-based Learning Approaches

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ISBN 10 : 3319807919 ISBN 13 : 9783319807911

Editeur : Springer International Publishing AG, 2018

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This ground-breaking text/reference diverges from the traditional view that computer vision (for image analysis) and string processing (for text mining) are separate and unrelated fields of study, propounding that images and text can be treated in a similar manner for the purposes of information retrieval, extraction and classification. Highlighting the benefits of knowledge transfer between the two disciplines, the text presents a range of novel similarity-based learning (SBL) techniques founded on this approach. Topics and features: describes a variety of SBL approaches, including nearest neighbor models, local learning, kernel methods, and clustering algorithms; presents a nearest neighbor model based on a novel dissimilarity for images; discusses a novel kernel for (visual) word histograms, as well as several kernels based on a pyramid representation; introduces an approach based on string kernels for native language identification; contains links for downloading relevant open source code.

Les informations fournies dans la section � Synopsis � peuvent faire r�f�rence � une autre �dition de ce titre.

� propos de l?auteur

Dr. Radu Tudor Ionescu is an Assistant Professor in the Department of Computer Science at the University of Bucharest, Romania.
Dr. Marius Popescu is an Associate Professor at the same institution.

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteur: Springer International Publishing AG
Date d'�dition: 2018
Langue: anglais
ISBN 10: 3319807919
ISBN 13: 9783319807911
Reliure: Broch�
Nombre de pages: 274
Coordonn�es du fabricant: ProductSafety@springernature.com
ProductSafety@springernature.com

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Allemagne

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Knowledge Transfer between Computer Vision and Text Mining (eng)

Ionescu, Radu Tudor

Edit� par Springer, 2018

ISBN 10 : 3319807919 ISBN 13 : 9783319807911

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Knowledge Transfer between Computer Vision and Text Mining

Marius Popescu

Edit� par Springer International Publishing Mai 2018, 2018

ISBN 10 : 3319807919 ISBN 13 : 9783319807911

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This ground-breaking text/reference divergesfrom the traditional view that computer vision (for image analysis) and stringprocessing (for text mining) are separate and unrelated fields of study,propounding that images and text can be treated in a similar manner for thepurposes of information retrieval, extraction and classification. Highlightingthe benefits of knowledge transfer between the two disciplines, the textpresents a range of novel similarity-based learning (SBL) techniques founded onthis approach. Topics and features: describes a variety of SBL approaches,including nearest neighbor models, local learning, kernel methods, andclustering algorithms; presents a nearest neighbor model based on a noveldissimilarity for images; discusses a novel kernel for (visual) wordhistograms, as well as several kernels based on a pyramid representation; introducesan approach based on string kernels for native language identification; containslinks for downloading relevant open source code. 276 pp. Englisch. N� de r�f. du vendeur 9783319807911

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Knowledge Transfer between Computer Vision and Text Mining

Radu Tudor Ionescu|Marius Popescu

Edit� par Springer International Publishing, 2018

ISBN 10 : 3319807919 ISBN 13 : 9783319807911

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a novel perspective on image analysis and text processing, presenting the scientific justification for treating the two disciplines in a similar mannerOffers open source code for the techniques in the book at an associated websiteRevi. N� de r�f. du vendeur 458621163

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Knowledge Transfer between Computer Vision and Text Mining

Radu Tudor Ionescu

Edit� par Springer, Springer Mai 2018, 2018

ISBN 10 : 3319807919 ISBN 13 : 9783319807911

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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This ground-breaking text/reference divergesfrom the traditional view that computer vision (for image analysis) and stringprocessing (for text mining) are separate and unrelated fields of studypropounding that images and text can be treated in a similar manner for thepurposes of information retrieval, extraction and classification. Highlightingthe benefits of knowledge transfer between the two disciplines, the textpresents a range of novel similarity-based learning (SBL) techniques founded onthis approach. Topics and features: describes a variety of SBL approachesincluding nearest neighbor models, local learning, kernel methods, andclustering algorithms; presents a nearest neighbor model based on a noveldissimilarity for images; discusses a novel kernel for (visual) wordhistograms, as well as several kernels based on a pyramid representation; introducesan approach based on string kernels for native language identification; containslinks for downloading relevant open source code.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 276 pp. Englisch. N� de r�f. du vendeur 9783319807911

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Knowledge Transfer between Computer Vision and Text Mining : Similarity-based Learning Approaches

Marius Popescu

Edit� par Springer International Publishing, 2018

ISBN 10 : 3319807919 ISBN 13 : 9783319807911

Neuf Taschenbuch

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This ground-breaking text/reference divergesfrom the traditional view that computer vision (for image analysis) and stringprocessing (for text mining) are separate and unrelated fields of study,propounding that images and text can be treated in a similar manner for thepurposes of information retrieval, extraction and classification. Highlightingthe benefits of knowledge transfer between the two disciplines, the textpresents a range of novel similarity-based learning (SBL) techniques founded onthis approach. Topics and features: describes a variety of SBL approaches,including nearest neighbor models, local learning, kernel methods, andclustering algorithms; presents a nearest neighbor model based on a noveldissimilarity for images; discusses a novel kernel for (visual) wordhistograms, as well as several kernels based on a pyramid representation; introducesan approach based on string kernels for native language identification; containslinks for downloading relevant open source code. N� de r�f. du vendeur 9783319807911

Contacter le vendeur