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Mayank Vatsa Richa Singh Angshul (40 results)
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Condition: New.
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Condition: New. 1st edition NO-PA16APR2015-KAP.
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Deep Learning in Biometrics
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Deep Learning in Biometrics
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Condition: New.
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Deep Learning in Biometrics
Published by Taylor & Francis Ltd, 2023
ISBN 10: 1032653108 ISBN 13: 9781032653105
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 659.
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Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Condition: New. Mayank Vatsa is an Associate Professor at IIIT New Delhi. He has authored more than 150 publications dealing with biometrics, image processing, machine learning and information fusion. He is a Senior Member of IEEE.
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Condition: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
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Machine Intelligence and Signal Processing (Advances in Intelligent Systems and Computing, 390)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Brand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
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Deep Learning In Biometrics
Published by Taylor & Francis Group, 2018
ISBN 10: 1138578231 ISBN 13: 9781138578234
Language: English
Condition: New.
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Deep Learning In Biometrics
Published by Taylor & Francis Group, 2018
ISBN 10: 1138578231 ISBN 13: 9781138578234
Language: English
Condition: New.
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Deep Learning in Biometrics
Published by Taylor & Francis Ltd Okt 2023, 2023
ISBN 10: 1032653108 ISBN 13: 9781032653105
Language: English
Taschenbuch. Condition: Neu. Neuware - This book will cover all the topics in deep learning, namely convolutional neural networks, deep belief network and stacked autoenders. The focus will be on the application of these techniques to various biometric modalities: face, iris, palmprint, and fingerprints.
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Deep Learning in Biometrics
Published by CRC Press 2018-03-16, 2018
ISBN 10: 1138578231 ISBN 13: 9781138578234
Language: English
Hardcover. Condition: New.
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Deep Learning In Biometrics
Published by Taylor & Francis Group, 2018
ISBN 10: 1138578231 ISBN 13: 9781138578234
Language: English
Condition: New.
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Deep Learning in Biometrics
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Taschenbuch. Condition: Neu. Machine Intelligence and Signal Processing | Richa Singh (u. a.) | Taschenbuch | x | Englisch | 2015 | Springer India | EAN 9788132226246 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Machine Intelligence and Signal Processing
Published by Springer India, Springer India Okt 2015, 2015
ISBN 10: 8132226240 ISBN 13: 9788132226246
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Neuware -This book comprises chapters on key problems in machine learning and signal processing arenas. The contents of the book are a result of a 2014 Workshop on Machine Intelligence and Signal Processing held at the Indraprastha Institute of Information Technology. Traditionally, signal processing and machine learning were considered to be separate areas of research. However in recent times the two communities are getting closer. In a very abstract fashion, signal processing is the study of operator design. The contributions of signal processing had been to device operators for restoration, compression, etc. Applied Mathematicians were more interested in operator analysis. Nowadays signal processing research is gravitating towards operator learning ¿ instead of designing operators based on heuristics (for example wavelets), the trend is to learn these operators (for example dictionary learning). And thus, the gap between signal processing and machine learning is fast converging. The 2014 Workshop on Machine Intelligence and Signal Processing was one of the few unique events that are focused on the convergence of the two fields. The book is comprised of chapters based on the top presentations at the workshop. This book has three chapters on various topics of biometrics ¿ two are on face detection and one on iris recognition; all from top researchers in their field. There are four chapters on different biomedical signal / image processing problems. Two of these are on retinal vesselclassification and extraction; one on biomedical signal acquisition and the fourth one on region detection. There are three chapters on data analysis ¿ a topic gaining immense popularity in industry and academia. One of these shows a novel use of compressed sensing in missing sales data interpolation. Another chapter is on spam detection and the third one is on simple one-shot movie rating prediction. Four other chapters cover various cutting edge miscellaneous topics on character recognition, software effort prediction, speech recognition and non-linear sparse recovery. The contents of this book will prove useful to researchers, professionals and students in the domains of machine learning and signal processing.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 176 pp. Englisch.
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Machine Intelligence and Signal Processing
Published by Springer-Verlag New York Inc, 2015
ISBN 10: 8132226240 ISBN 13: 9788132226246
Language: English
Paperback. Condition: Brand New. 176 pages. 9.25x6.25x0.75 inches. In Stock.
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Machine Intelligence and Signal Processing
Published by Springer India, Springer India, 2015
ISBN 10: 8132226240 ISBN 13: 9788132226246
Language: English
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book comprises chapters on key problems in machine learning and signal processing arenas. The contents of the book are a result of a 2014 Workshop on Machine Intelligence and Signal Processing held at the Indraprastha Institute of Information Technology. Traditionally, signal processing and machine learning were considered to be separate areas of research. However in recent times the two communities are getting closer. In a very abstract fashion, signal processing is the study of operator design. The contributions of signal processing had been to device operators for restoration, compression, etc. Applied Mathematicians were more interested in operator analysis. Nowadays signal processing research is gravitating towards operator learning - instead of designing operators based on heuristics (for example wavelets), the trend is to learn these operators (for example dictionary learning). And thus, the gap between signal processing and machine learning is fast converging. The 2014 Workshop on Machine Intelligence and Signal Processing was one of the few unique events that are focused on the convergence of the two fields. The book is comprised of chapters based on the top presentations at the workshop. This book has three chapters on various topics of biometrics - two are on face detection and one on iris recognition; all from top researchers in their field. There are four chapters on different biomedical signal / image processing problems. Two of these are on retinal vesselclassification and extraction; one on biomedical signal acquisition and the fourth one on region detection. There are three chapters on data analysis - a topic gaining immense popularity in industry and academia. One of these shows a novel use of compressed sensing in missing sales data interpolation. Another chapter is on spam detection and the third one is on simple one-shot movie rating prediction. Four other chapters cover various cutting edge miscellaneous topics on character recognition, software effort prediction, speech recognition and non-linear sparse recovery. The contents of this book will prove useful to researchers, professionals and students in the domains of machine learning and signal processing.
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Condition: New.
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Condition: New.
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Deep Learning in Biometrics
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Condition: New.
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Deep Learning in Biometrics
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Condition: As New. Unread book in perfect condition.
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Deep Learning in Biometrics
Published by Taylor & Francis Ltd, 2018
ISBN 10: 1138578231 ISBN 13: 9781138578234
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Hardback. Condition: New. New copy - Usually dispatched within 4 working days. 645.
