Machine Learning for Audio, Image and Video Analysis Theory and Applications /

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 th...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Camastra, Francesco (Συγγραφέας), Vinciarelli, Alessandro (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: London : Springer London : Imprint: Springer, 2015.
Έκδοση:2nd ed. 2015.
Σειρά:Advanced Information and Knowledge Processing,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
LEADER 04275nam a22005175i 4500
001 978-1-4471-6735-8
003 DE-He213
005 20151030101313.0
007 cr nn 008mamaa
008 150721s2015 xxk| s |||| 0|eng d
020 |a 9781447167358  |9 978-1-4471-6735-8 
024 7 |a 10.1007/978-1-4471-6735-8  |2 doi 
040 |d GrThAP 
050 4 |a Q337.5 
050 4 |a TK7882.P3 
072 7 |a UYQP  |2 bicssc 
072 7 |a COM016000  |2 bisacsh 
082 0 4 |a 006.4  |2 23 
100 1 |a Camastra, Francesco.  |e author. 
245 1 0 |a Machine Learning for Audio, Image and Video Analysis  |h [electronic resource] :  |b Theory and Applications /  |c by Francesco Camastra, Alessandro Vinciarelli. 
250 |a 2nd ed. 2015. 
264 1 |a London :  |b Springer London :  |b Imprint: Springer,  |c 2015. 
300 |a XVI, 561 p. 119 illus.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Advanced Information and Knowledge Processing,  |x 1610-3947 
505 0 |a 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. 
520 |a 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. 
650 0 |a Computer science. 
650 0 |a Multimedia information systems. 
650 0 |a Image processing. 
650 0 |a Pattern recognition. 
650 1 4 |a Computer Science. 
650 2 4 |a Pattern Recognition. 
650 2 4 |a Image Processing and Computer Vision. 
650 2 4 |a Multimedia Information Systems. 
700 1 |a Vinciarelli, Alessandro.  |e author. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9781447167341 
830 0 |a Advanced Information and Knowledge Processing,  |x 1610-3947 
856 4 0 |u http://dx.doi.org/10.1007/978-1-4471-6735-8  |z Full Text via HEAL-Link 
912 |a ZDB-2-SCS 
950 |a Computer Science (Springer-11645)