Machine Learning Techniques for Multimedia Analysis

Slim Essid; Marine Campedel; Gaël Richard; Tomas Piatrik; Rachid Benmokhtar; Benoit Huet

doi:10.1002/9781119970231.ch5

Machine Learning Techniques for Multimedia Analysis

Slim Essid
, Marine Campedel
, Gaël Richard
, Tomas Piatrik
, Rachid Benmokhtar
, Benoit Huet

Telecom Paris
Queen Mary University of London
Eurecom

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Chapitre › Revue par des pairs

langue originale	Anglais
titre	Multimedia Semantics
Sous-titre	Metadata, Analysis and Interaction
Editeur	John Wiley and Sons
Pages	59-80
Nombre de pages	22
ISBN (imprimé)	9780470747001
Les DOIs	https://doi.org/10.1002/9781119970231.ch5
état	Publié - 8 août 2011

Accès au document

10.1002/9781119970231.ch5

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title = "Machine Learning Techniques for Multimedia Analysis",

keywords = "Artificial neural networks (ANNs), or neural networks - information processing systems, generalizing mathematical models of human cognition and neural biology, Classification, best-known supervised and unsupervised approaches - multimedia data management context, Feature selection, alternative - to feature transform techniques, as PCA, Gaussian mixture model (GMM) - used in speech community, Kernel trick, success of FDA and SVM - linearity assumption avoided, Machine learning techniques - for multimedia analysis, Machine learning, in learning models - for very well-known objects or settings, Main approaches, for setting up automatic multimedia analysis system, Photograph classification problem - the class, defined by location, Schematic architecture - for automatic classification system",

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AU - Essid, Slim

AU - Campedel, Marine

AU - Richard, Gaël

AU - Piatrik, Tomas

AU - Benmokhtar, Rachid

AU - Huet, Benoit

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KW - Gaussian mixture model (GMM) - used in speech community

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KW - Machine learning, in learning models - for very well-known objects or settings

KW - Main approaches, for setting up automatic multimedia analysis system

KW - Photograph classification problem - the class, defined by location

KW - Schematic architecture - for automatic classification system

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