Artículos relacionados a Subspace Methods for Pattern Recognition in Intelligent...
Subspace Methods for Pattern Recognition in Intelligent Environment: 552 (Studies in Computational Intelligence) - Tapa dura
Sinopsis
This research book provides a comprehensive overview of the state-of-the-art subspace learning methods for pattern recognition in intelligent environment. With the fast development of internet and computer technologies, the amount of available data is rapidly increasing in our daily life. How to extract core information or useful features is an important issue. Subspace methods are widely used for dimension reduction and feature extraction in pattern recognition. They transform a high-dimensional data to a lower-dimensional space (subspace), where most information is retained. The book covers a broad spectrum of subspace methods including linear, nonlinear and multilinear subspace learning methods and applications. The applications include face alignment, face recognition, medical image analysis, remote sensing image classification, traffic sign recognition, image clustering, super resolution, edge detection, multi-view facial image synthesis.
"Sinopsis" puede pertenecer a otra edición de este libro.
De la contraportada
This research book provides a comprehensive overview of the state-of-the-art subspace learning methods for pattern recognition in intelligent environment. With the fast development of internet and computer technologies, the amount of available data is rapidly increasing in our daily life. How to extract core information or useful features is an important issue. Subspace methods are widely used for dimension reduction and feature extraction in pattern recognition. They transform a high-dimensional data to a lower-dimensional space (subspace), where most information is retained. The book covers a broad spectrum of subspace methods including linear, nonlinear and multilinear subspace learning methods and applications. The applications include face alignment, face recognition, medical image analysis, remote sensing image classification, traffic sign recognition, image clustering, super resolution, edge detection, multi-view facial image synthesis.
"Sobre este título" puede pertenecer a otra edición de este libro.
- EditorialSpringer
- Año de publicación2014
- ISBN 10 3642548504
- ISBN 13 9783642548505
- EncuadernaciónTapa dura
- IdiomaInglés
- Número de páginas216
- EditorChen Yen-Wei, C. Jain Lakhmi
- Contacto del fabricanteno disponible
Comprar nuevo
Ver este artículo
EUR 92,27
EUR 19,49 gastos de envío desde Alemania a España
Destinos, gastos y plazos de envío
Resultados de la búsqueda para Subspace Methods for Pattern Recognition in Intelligent...
Imagen de archivo
Subspace methods for pattern recognition in intelligent environment.
Publicado por
Heidelberg/New York, NY/Dordrecht/London/Berlin, Springer., 2014
ISBN 10: 3642548504
ISBN 13: 9783642548505
Antiguo o usado
Tapa dura
Librería: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Alemania
Calificación del vendedor: 4 de 5 estrellas
24 cm. XVI, 198 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Studies in computational intelligence ; Vol. 552. Sprache: Englisch. Nº de ref. del artículo: 6133IB
Cantidad disponible: 1 disponibles
Imagen de archivo
Subspace Methods for Pattern Recognition in Intelligent Environment
Publicado por
Springer Berlin Heidelberg, 2014
ISBN 10: 3642548504
ISBN 13: 9783642548505
Antiguo o usado
Tapa dura
Librería: Buchpark, Trebbin, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: Sehr gut. Zustand: Sehr gut | Seiten: 216 | Sprache: Englisch | Produktart: Bücher. Nº de ref. del artículo: 24676177/12
Cantidad disponible: 1 disponibles
Imagen del vendedor
Subspace Methods for Pattern Recognition in Intelligent Environment
Publicado por
Springer Berlin Heidelberg, 2014
ISBN 10: 3642548504
ISBN 13: 9783642548505
Nuevo
Tapa dura
Librería: moluna, Greven, Alemania
Calificación del vendedor: 5 de 5 estrellas
Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Latest research on the theoretical foundations and applications of subspace methods for pattern recognition using intelligent techniquesActive Shape Model and Its Application to Face Alignment.-Condition Rela. Nº de ref. del artículo: 5064214
Cantidad disponible: Más de 20 disponibles
Imagen del vendedor
Subspace Methods for Pattern Recognition in Intelligent Environment
Publicado por
Springer Berlin Heidelberg Apr 2014, 2014
ISBN 10: 3642548504
ISBN 13: 9783642548505
Nuevo
Tapa dura
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This research book provides a comprehensive overview of the state-of-the-art subspace learning methods for pattern recognition in intelligent environment. With the fast development of internet and computer technologies, the amount of available data is rapidly increasing in our daily life. How to extract core information or useful features is an important issue. Subspace methods are widely used for dimension reduction and feature extraction in pattern recognition. They transform a high-dimensional data to a lower-dimensional space (subspace), where most information is retained. The book covers a broad spectrum of subspace methods including linear, nonlinear and multilinear subspace learning methods and applications. The applications include face alignment, face recognition, medical image analysis, remote sensing image classification, traffic sign recognition, image clustering, super resolution, edge detection, multi-view facial image synthesis. 216 pp. Englisch. Nº de ref. del artículo: 9783642548505
Cantidad disponible: 2 disponibles
Imagen del vendedor
Subspace Methods for Pattern Recognition in Intelligent Environment
Publicado por
Springer Berlin Heidelberg, 2014
ISBN 10: 3642548504
ISBN 13: 9783642548505
Nuevo
Tapa dura
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This research book provides a comprehensive overview of the state-of-the-art subspace learning methods for pattern recognition in intelligent environment. With the fast development of internet and computer technologies, the amount of available data is rapidly increasing in our daily life. How to extract core information or useful features is an important issue. Subspace methods are widely used for dimension reduction and feature extraction in pattern recognition. They transform a high-dimensional data to a lower-dimensional space (subspace), where most information is retained. The book covers a broad spectrum of subspace methods including linear, nonlinear and multilinear subspace learning methods and applications. The applications include face alignment, face recognition, medical image analysis, remote sensing image classification, traffic sign recognition, image clustering, super resolution, edge detection, multi-view facial image synthesis. Nº de ref. del artículo: 9783642548505
Cantidad disponible: 1 disponibles
Imagen de archivo
Subspace Methods for Pattern Recognition in Intelligent Environment (Studies in Computational Intelligence, 552)
Librería: Ria Christie Collections, Uxbridge, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Condición: New. In. Nº de ref. del artículo: ria9783642548505_new
Cantidad disponible: Más de 20 disponibles
Imagen del vendedor
Subspace Methods for Pattern Recognition in Intelligent Environment
Publicado por
Springer Berlin Heidelberg, Springer Berlin Heidelberg Apr 2014, 2014
ISBN 10: 3642548504
ISBN 13: 9783642548505
Nuevo
Tapa dura
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Buch. Condición: Neu. Neuware -This research book provides a comprehensive overview of the state-of-the-art subspace learning methods for pattern recognition in intelligent environment. With the fast development of internet and computer technologies, the amount of available data is rapidly increasing in our daily life. How to extract core information or useful features is an important issue. Subspace methods are widely used for dimension reduction and feature extraction in pattern recognition. They transform a high-dimensional data to a lower-dimensional space (subspace), where most information is retained. The book covers a broad spectrum of subspace methods including linear, nonlinear and multilinear subspace learning methods and applications. The applications include face alignment, face recognition, medical image analysis, remote sensing image classification, traffic sign recognition, image clustering, super resolution, edge detection, multi-view facial image synthesis.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 216 pp. Englisch. Nº de ref. del artículo: 9783642548505
Cantidad disponible: 2 disponibles
Imagen de archivo
Subspace Methods for Pattern Recognition in Intelligent Environment
Librería: Revaluation Books, Exeter, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Hardcover. Condición: Brand New. 300 pages. 9.25x6.25x0.75 inches. In Stock. Nº de ref. del artículo: x-3642548504
Cantidad disponible: 2 disponibles
Imagen de archivo
Subspace Methods for Pattern Recognition in Intelligent Environment (Studies in Computational Intelligence, 552)
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Nº de ref. del artículo: ABLIING23Mar3113020230893
Cantidad disponible: Más de 20 disponibles
Imagen de archivo
Subspace Methods for Pattern Recognition in Intelligent Environment (Studies in Computational Intelligence, 552)
Librería: Mispah books, Redhill, SURRE, Reino Unido
Calificación del vendedor: 4 de 5 estrellas
Hardcover. Condición: Like New. Like New. book. Nº de ref. del artículo: ERICA79036425485046
Cantidad disponible: 1 disponibles