MARC details
000 -LEADER |
fixed length control field |
04350nam a22004695i 4500 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
DE-He213 |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20231104114209.0 |
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
fixed length control field |
cr nn 008mamaa |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
150721s2015 xxk| s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9781447167358 |
Canceled/invalid ISBN |
978-1-4471-6735-8 |
024 7# - OTHER STANDARD IDENTIFIER |
Standard number or code |
10.1007/978-1-4471-6735-8 |
Source of number or code |
doi |
050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
Q337.5 |
|
Classification number |
TK7882.P3 |
072 #7 - SUBJECT CATEGORY CODE |
Subject category code |
UYQP |
Source |
bicssc |
|
Subject category code |
COM016000 |
Source |
bisacsh |
|
Subject category code |
UYQP |
Source |
thema006.4 |
-- |
23 |
041 ## - LANGUAGE CODE |
Language code of text/sound track or separate title |
İngilizce |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Camastra, Francesco. |
Relator term |
author. |
Relator code |
aut |
-- |
http://id.loc.gov/vocabulary/relators/aut |
245 10 - TITLE STATEMENT |
Title |
Machine Learning for Audio, Image and Video Analysis : |
Remainder of title |
Theory and Applications / |
Statement of responsibility, etc. |
by Francesco Camastra, Alessandro Vinciarelli. |
250 ## - EDITION STATEMENT |
Edition statement |
2nd ed. 2015. |
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
Place of production, publication, distribution, manufacture |
London : |
Name of producer, publisher, distributor, manufacturer |
Springer London : |
-- |
Imprint: Springer, |
Date of production, publication, distribution, manufacture, or copyright notice |
2015. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
1 online resource |
336 ## - CONTENT TYPE |
Content type term |
text |
Content type code |
txt |
Source |
rdacontent |
337 ## - MEDIA TYPE |
Media type term |
computer |
Media type code |
c |
Source |
rdamedia |
338 ## - CARRIER TYPE |
Carrier type term |
online resource |
Carrier type code |
cr |
Source |
rdacarrier |
347 ## - DIGITAL FILE CHARACTERISTICS |
File type |
text file |
Encoding format |
PDF |
Source |
rda |
490 0# - SERIES STATEMENT |
Series statement |
Advanced Information and Knowledge Processing, |
International Standard Serial Number |
1610-3947 |
505 0# - FORMATTED CONTENTS NOTE |
Formatted contents note |
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 ## - SUMMARY, ETC. |
Summary, etc. |
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 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Optical pattern recognition. |
|
Topical term or geographic name entry element |
Computer vision. |
|
Topical term or geographic name entry element |
Multimedia systems. |
|
Topical term or geographic name entry element |
Pattern Recognition. |
Authority record control number or standard number |
http://scigraph.springernature.com/things/product-market-codes/I2203X |
|
Topical term or geographic name entry element |
Image Processing and Computer Vision. |
Authority record control number or standard number |
http://scigraph.springernature.com/things/product-market-codes/I22021 |
|
Topical term or geographic name entry element |
Multimedia Information Systems. |
Authority record control number or standard number |
http://scigraph.springernature.com/things/product-market-codes/I18059 |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Vinciarelli, Alessandro. |
Relator term |
author. |
Relator code |
aut |
-- |
http://id.loc.gov/vocabulary/relators/aut |
710 2# - ADDED ENTRY--CORPORATE NAME |
Corporate name or jurisdiction name as entry element |
SpringerLink (Online service) |
856 40 - ELECTRONIC LOCATION AND ACCESS |
Uniform Resource Identifier |
<a href="https://doi.org/10.1007/978-1-4471-6735-8">https://doi.org/10.1007/978-1-4471-6735-8</a> |
Materials specified |
Springer eBooks |
Public note |
Online access link to the resource |
912 ## - |
-- |
ZDB-2-SCS |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
Library of Congress Classification |
Koha item type |
E-Book |