Multimedia Data Mining and Analytics

Disruptive Innovation

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Éditeur :

Springer

Paru le : 2015-03-31

This book provides fresh insights into the cutting edge of multimedia data mining, reflecting how the research focus has shifted towards networked social communities, mobile devices and sensors. The work describes how the history of multimedia data processing can be viewed as a sequence of disruptiv...
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À propos


Éditeur

Collection
n.c

Parution
2015-03-31

Pages
454 pages

EAN papier
9783319149974

Aaron K. Baughman is a member of the Special Events Group at IBM (USA) for World Wide Sports. Previously, he was Technical Lead on a DeepQA Embed Research project that included an instance of the Jeopardy! Challenge.Jiang (John) Gao is a Principal Scientist in the Advanced Development and Technology Group at Nokia USA, working on multimedia and mobile applications, data mining and computer vision.Jia-Yu Pan is a software engineer at Google (USA), working on data mining and anomaly detection in big data.Valery A. Petrushin is a Principal Scientist in the Research and Development Group at Opera Solutions (USA). His previous publications include the successful Springer title Multimedia Data Mining and Knowledge Discovery.

Caractéristiques détaillées - droits

EAN EPUB
9783319149981
Prix
94,94 €
Nombre pages copiables
4
Nombre pages imprimables
45
Taille du fichier
9585 Ko

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