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Machine Learning for Audio, Image and Video Analysis - Francesco Camastra, Alessandro Vinciarelli
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Francesco Camastra, Alessandro Vinciarelli:

Machine Learning for Audio, Image and Video Analysis - new book

2015, ISBN: 1447167341

This second edition focuses on audio, image and video data, the three main types of input that machines deal with when interacting with the real world. A set of appendices provides the re… More...

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Machine Learning for Audio, Image and Video Analysis: Theory and Applications (Advanced Information and Knowledge Processing) - Camastra, Francesco, Vinciarelli, Alessandro
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Camastra, Francesco, Vinciarelli, Alessandro:

Machine Learning for Audio, Image and Video Analysis: Theory and Applications (Advanced Information and Knowledge Processing) - hardcover

2015, ISBN: 9781447167341

Springer, Gebundene Ausgabe, Auflage: 2nd ed. 2015, 577 Seiten, Publiziert: 2015-08-03T00:00:01Z, Produktgruppe: Buch, Hersteller-Nr.: 119 black & white illustrations, 8 colou, 9.87 kg, G… More...

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Machine Learning for Audio, Image and Video Analysis: Theory and Applications (Advanced Information and Knowledge Processing) - Camastra, Francesco, Vinciarelli, Alessandro
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Camastra, Francesco, Vinciarelli, Alessandro:
Machine Learning for Audio, Image and Video Analysis: Theory and Applications (Advanced Information and Knowledge Processing) - hardcover

2015

ISBN: 9781447167341

Springer, Gebundene Ausgabe, Auflage: 2nd ed. 2015, 577 Seiten, Publiziert: 2015-08-03T00:00:01Z, Produktgruppe: Buch, Hersteller-Nr.: 119 black & white illustrations, 8 colou, 9.87 kg, G… More...

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Machine Learning for Audio, Image and Video Analysis: Theory and Applications (Advanced Information and Knowledge Processing) - Camastra, Francesco, Vinciarelli, Alessandro
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Camastra, Francesco, Vinciarelli, Alessandro:
Machine Learning for Audio, Image and Video Analysis: Theory and Applications (Advanced Information and Knowledge Processing) - hardcover

2015, ISBN: 9781447167341

Springer, Gebundene Ausgabe, Auflage: 2nd ed. 2015, 577 Seiten, Publiziert: 2015-08-03T00:00:01Z, Produktgruppe: Buch, Hersteller-Nr.: 119 black & white illustrations, 8 colou, 9.87 kg, G… More...

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Machine Learning for Audio, Image and Video Analysis: Theory and Applications (Advanced Information and Knowledge Processing) - Camastra, Francesco, Vinciarelli, Alessandro
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Camastra, Francesco, Vinciarelli, Alessandro:
Machine Learning for Audio, Image and Video Analysis: Theory and Applications (Advanced Information and Knowledge Processing) - hardcover

2015, ISBN: 9781447167341

Springer, Gebundene Ausgabe, Auflage: 2nd ed. 2015, 577 Seiten, Publiziert: 2015-08-03T00:00:01Z, Produktgruppe: Buch, Hersteller-Nr.: 119 black & white illustrations, 8 colou, 21.76 kg, … More...

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Machine Learning for Audio, Image and Video Analysis: Theory and Applications (Advanced Information and Knowledge Processing)
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ISBN:

9781447167341


This second edition focuses on audio, image and video data, the three main types of input that machines deal with when interacting with the real world. A set of appendices provides the reader with self-contained introductions to the mathematical background necessary to read the book. Divided into three main parts, From Perception to Computation introduces methodologies aimed at representing the data in forms suitable for computer processing, especially when it comes to audio and images. Whilst the second part, Machine Learning includes an extensive overview of statistical techniques aimed at addressing three main problems, namely classification (automatically assigning a data sample to one of the classes belonging to a predefined set), clustering (automatically grouping data samples according to the similarity of their properties) and sequence analysis (automatically mapping a sequence of observations into a sequence of human-understandable symbols). The third part Applications shows how the abstract problems defined in the second part underlie technologies capable to perform complex tasks such as the recognition of hand gestures or the transcription of handwritten data. Machine Learning for Audio, Image and Video Analysis is suitable for students to acquire a solid background in machine learning as well as for practitioners to deepen their knowledge of the state-of-the-art. All application chapters are based on publicly available data and free software packages, thus allowing readers to replicate the experiments.

Details of the book - Machine Learning for Audio, Image and Video Analysis: Theory and Applications (Advanced Information and Knowledge Processing)


EAN (ISBN-13): 9781447167341
ISBN (ISBN-10): 1447167341
Hardcover
Publishing year: 2016
Publisher: Springer

Book in our database since 2015-08-25T12:45:14-04:00 (New York)
Detail page last modified on 2024-02-12T07:09:46-05:00 (New York)
ISBN/EAN: 9781447167341

ISBN - alternate spelling:
1-4471-6734-1, 978-1-4471-6734-1
Alternate spelling and related search-keywords:
Book author: vinci, ales, francé, vin, france, francesco
Book title: video analysis, video and, machine age, machine learning, audi, information processing, vide, image information, the theory knowledge, theory and applications

Information from Publisher

Author: Francesco Camastra; Alessandro Vinciarelli
Title: Advanced Information and Knowledge Processing; Machine Learning for Audio, Image and Video Analysis - Theory and Applications
Publisher: Springer; Springer London
561 Pages
Publishing year: 2015-08-03
London; GB
Printed / Made in
Language: English
90,94 € (DE)
93,49 € (AT)
100,50 CHF (CH)
POD
XVI, 561 p. 119 illus.

BB; Hardcover, Softcover / Informatik, EDV/Anwendungs-Software; Mustererkennung; Verstehen; Cluster Analysis; Image and Video Data; Machine Learning; Sequence Analysis; Signal Processing; Automated Pattern Recognition; Computer Vision; Multimedia Information Systems; Maschinelles Sehen, Bildverstehen; Grafische und digitale Media-Anwendungen; BB; EA; BC

shows how the abstract problems defined in the second part underlie technologies capable to perform complex tasks such as the recognition of hand gestures or the transcription of handwritten data.

is suitable for students to acquire a solid background in machine learning as well as for practitioners to deepen their knowledge of the state-of-the-art. All application chapters are based on publicly available data and free software packages, thus allowing readers to replicate the experiments.

From Perception to Computation Machine Learning Applications Machine Learning for Audio, Image and Video Analysis

Introduction.- Part I: From Perception to Computation.- Audio Acquisition, Representation and Storage.- Image and Video Acquisition, Representation and Storage.- Part II: Machine Learning.- Machine Learning.- Bayesian Theory of Decision.- Clustering Methods.- Foundations of Statistical Learning and Model Selection.- Supervised Neural Networks and Ensemble Methods.- Kernel Methods.- Markovian Models for Sequential Data.- Feature Extraction Methods and Manifold Learning Methods.- Part III: Applications.- Speech and Handwriting Recognition.- Speech and Handwriting Recognition.- Video Segmentation and Keyframe Extraction.- Real-Time Hand Pose Recognition.- Automatic Personality Perception.- Part IV: Appendices.- Appendix A: Statistics.- Appendix B: Signal Processing.- Appendix C: Matrix Algebra.- Appendix D: Mathematical Foundations of Kernel Methods.- Index.

This second edition focuses on audio, image and video data, the three main types of input that machines deal with when interacting with the real world. A set of appendices provides the reader with self-contained introductions to the mathematical background necessary to read the book.

shows how the abstract problems defined in the second part underlie technologies capable to perform complex tasks such as the recognition of hand gestures or the transcription of handwritten data.

is suitable for students to acquire a solid background in machine learning as well as for practitioners to deepen their knowledge of the state-of-the-art. All application chapters are based on publicly available data and free software packages, thus allowing readers to replicate the experiments.

From Perception to Computation Machine Learning Applications Machine Learning for Audio, Image and Video Analysis
Presents techniques for extracting features from audio recordings, images and videos Provides the mathematical background required to use the techniques described Covers the most important machine learning techniques for classification, clustering and sequence analysis Includes supplementary material: sn.pub/extras
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