Idioma: Inglés
Publicado por Academic Press Inc 2015-04-24, 2015
ISBN 10: 0128028068 ISBN 13: 9780128028063
Librería: Chiron Media, Wallingford, Reino Unido
EUR 115,66
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 150,49
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Idioma: Inglés
Publicado por Elsevier Science Publishing Co Inc, 2015
ISBN 10: 0128028068 ISBN 13: 9780128028063
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 144,18
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Añadir al carritoHardback. Condición: New. New copy - Usually dispatched within 4 working days.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 159,68
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Añadir al carritoCondición: New. In.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 159,67
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 179,56
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 178,09
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Idioma: Inglés
Publicado por Elsevier Science Publishing Co Inc, US, 2015
ISBN 10: 0128028068 ISBN 13: 9780128028063
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 204,84
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Añadir al carritoHardback. Condición: New. In honour of Professor Erkki Oja, one of the pioneers of Independent Component Analysis (ICA), this book reviews key advances in the theory and application of ICA, as well as its influence on signal processing, pattern recognition, machine learning, and data mining. Examples of topics which have developed from the advances of ICA, which are covered in the book are: A unifying probabilistic model for PCA and ICA Optimization methods for matrix decompositions Insights into the FastICA algorithm Unsupervised deep learning Machine vision and image retrieval.
EUR 175,53
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Añadir al carritoGebunden. Condición: New. In honour of Professor Erkki Oja, one of the pioneers of Independent Component Analysis (ICA), this book reviews key advances in the theory and application of ICA, as well as its influence on signal processing, pattern recognition, machine learning, and .
Idioma: Inglés
Publicado por Elsevier Science Publishing Co Inc, US, 2015
ISBN 10: 0128028068 ISBN 13: 9780128028063
Librería: Rarewaves.com UK, London, Reino Unido
EUR 193,64
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Añadir al carritoHardback. Condición: New. In honour of Professor Erkki Oja, one of the pioneers of Independent Component Analysis (ICA), this book reviews key advances in the theory and application of ICA, as well as its influence on signal processing, pattern recognition, machine learning, and data mining. Examples of topics which have developed from the advances of ICA, which are covered in the book are: A unifying probabilistic model for PCA and ICA Optimization methods for matrix decompositions Insights into the FastICA algorithm Unsupervised deep learning Machine vision and image retrieval.
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 106,96
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Librería: Revaluation Books, Exeter, Reino Unido
EUR 131,69
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Añadir al carritoHardcover. Condición: Brand New. 1st edition. 328 pages. 9.50x7.75x1.25 inches. In Stock. This item is printed on demand.
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 150,00
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Añadir al carritoBuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In honour of Professor Erkki Oja, one of the pioneers of Independent Component Analysis (ICA), this book reviews key advances in the theory and application of ICA, as well as its influence on signal processing, pattern recognition, machine learning, and data mining. Examples of topics which have developed from the advances of ICA, which are covered in the book are: A unifying probabilistic model for PCA and ICA Optimization methods for matrix decompositions Insights into the FastICA algorithm Unsupervised deep learning Machine vision and image retrieval Englisch.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 156,09
Cantidad disponible: 2 disponibles
Añadir al carritoBuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In honour of Professor Erkki Oja, one of the pioneers of Independent Component Analysis (ICA), this book reviews key advances in the theory and application of ICA, as well as its influence on signal processing, pattern recognition, machine learning, and data mining. Examples of topics which have developed from the advances of ICA, which are covered in the book are: A unifying probabilistic model for PCA and ICA Optimization methods for matrix decompositions Insights into the FastICA algorithm Unsupervised deep learning Machine vision and image retrieval.