KES-MDA 2016 : KES 2016 Invited Session on Machine Learning for Multimedia Data Analysis
Call For Papers
Please consider to send your contribution to:
INVITED SESSION ON MACHINE LEARNING FOR MULTIMEDIA DATA ANALYSIS
that will be located inside the 20th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2016)
York, UK, 5-7 September 2016
SUBMISSION SYSTEM IS NOW OPEN
Proceedings will be published in Elsevier's Procedia Computer Science open access journal, available in ScienceDirect and submitted to be indexed/abstracted in CPCI (ISI conferences and part of Web of Science), Engineering Index, and Scopus.
Authors of selected papers may be invited to submit extended versions of their papers for publication as full journal papers, for example in the KES Journal or other journals.
The session discusses learning problems in the area of multimedia data, including images, videos and text, innovative methods of machine learning applied on multimedia data and reformulation and application of machine learning techniques in new contexts of multimedia databases.
Topics to be discussed (but not limited to):
* Classification of multimedia data
* Recognition and prediction
* Data mining applied to image and video repositories
* Text Mining
* Document analysis
* Information retrieval
* Natural language processing
* Combinatorial optimization
* Learning decision and regression trees
* Probabilistic networks
* Clustering of multimedia databases
* Neural networks applied to multimedia data
* Visualization of patterns in multimedia data
* Pattern recognition in images, videos and text
Dr. Alessia Amelio, DIMES University of Calabria
Ass. Prof. Darko Brodic, Technical Faculty in Bor, University of Belgrade
Submission of papers May 10, 2016
Notification May 25, 2016
Camera ready May 30, 2016
Registration May 30, 2016
Conference Dates September 05-07, 2016
York is a very beautiful historic walled city in the North East of England, with a wealth of historic attractions and modern facilities (http://www.visityork.org).
For more information: firstname.lastname@example.org
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Looking forward to your contribution!
Dr. Alessia Amelio
Dr. Darko Brodic