Machine Learning for Audio, Image and Video Analysis : (Record no. 200433730)

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
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Not for loan Collection code Home library Current library Date acquired Source of acquisition Coded location qualifier Inventory number Total Checkouts Full call number Barcode Date last seen Date shelved Koha item type Public note
    Library of Congress Classification Geçerli değil-e-Kitap / Not applicable-e-Book E-Kitap Koleksiyonu Merkez Kütüphane Merkez Kütüphane 27/11/2018 Satın Alma / Purchase BİL/YAP   TK7882.P3EBK EBK00635 28/11/2018 28/11/2018 E-Book
Devinim Yazılım Eğitim Danışmanlık tarafından Koha'nın orjinal sürümü uyarlanarak geliştirilip kurulmuştur.