AISB Convention 2015

The AISB Convention is an annual conference covering the range of AI and Cognitive Science, organised by the Society for the Study of Artificial Intelligence and Simulation of Behaviour. The 2015 Convention will be held at the Uni...


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Yasemin Erden on BBC

AISB Committee member, and Philosophy Programme Director and Lecturer, Dr Yasemin J. Erden interviewed for the BBC on 29 October 2013. Speaking on the Today programme for BBC Radio 4, as well as the Business Report for BBC world N...


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Mark Bishop on BBC ...

Mark Bishop, Chair of the Study of Artificial Intelligence and the Simulation of Behaviour, appeared on Newsnight to discuss the ethics of ‘killer robots’. He was approached to give his view on a report raising questions on the et...


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AISB YouTube Channel

The AISB has launched a YouTube channel: http://www.youtube.com/user/AISBTube (http://www.youtube.com/user/AISBTube). The channel currently holds a number of videos from the AISB 2010 Convention. Videos include the AISB round t...


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Lighthill Debates

The Lighthill debates from 1973 are now available on YouTube. You need to a flashplayer enabled browser to view this YouTube video  


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Notice

AISB event Bulletin Item

SPECIAL SESSION CALL FOR PAPERS: Matrix and Tensor Analysis for Big Vision, October 1316, 2013, Manchester, UK

http://www.smc2013.org/

IEEE SMC2013



Matrix and Tensor analysis has important applications in natural sciences, medicine, economics, 
engineering as well as in industry. The research of matrix and tensor analysis plays important 
roles in dimension reduction, spectral analysis, manifold learning, kernel machines, sparse coding, 
etc. In recent years, the matrix and tensor analysis presents new research opportunities to large 
scale visual data, e.g. large scale face recognition, intelligent visual surveillance, web-scale 
image retrieval/annotation /classification, massive object recognition etc. As a consequence, 
matrix and tensor analysis is a never-ending resilience field and attracts growing efforts from 
different fields.

This special session hunts for original research results for Matrix and Tensor Analysis for Big 
Vision. The goals of this special session are twofold: 1) developing matrix and tensor analysis 
algorithms to target specific applications in large-scale visual data analytics and 2) defining 
novel large-scale visual data driven applications, which can be cleared up by conventional matrix 
and tensor analysis algorithms.


Indicative Topics/Areas
Manuscripts are solicited to address a wide range of topics in matrix and tensor analysis, but 
not limit to the following:


Extension of traditional matrix and tensor analysis, multiview dimension reduction, spectral 
analysis, matrix and tensor analysis for manifold learning, kernel machines and tensor machines, 
matrix and tensor analysis for biometrics, matrix and tensor analysis for web-scale multimedia 
information retrieval, matrix and tensor analysis for video surveillance, matrix and tensor 
analysis for sparse analysis, etc.


Important Dates
March 31, 2013: Deadline for submission of full-length papers to special sessions.
June 30, 2013: Acceptance/Rejection Notification.
July 31, 2013: Final camera-ready papers due in electronic form.


Submission 
Manuscripts for a Special Session should NOT be submitted in duplication to any other regular or 
special sessions and should be submitted to SMC 2013 main conference online submission system on 
SMC 2013 conference website.


All submitted papers of Special Sessions have to undergo the same review process (three completed 
reviews per paper).  The technical reviewers for each Special Session paper will be members of the 
SMC 2013 Program Committee and qualified peer-reviewers to be nominated by the Special Session 
organizers.


Organized by IEEE SMC TC on Cognitive Computing


Special Session organizer


Dr. Dacheng Tao
Professor 
University of Technology, Sydney
E-mail: 
dacheng.tao@gmail.com


Co-organizer(s):


Dr. Weifeng Liu
Associate Professor
China University of Petroleum, China
Email:
liuwfxy@gmail.com


Dr. Jun Yu
Associate Professor
Xiamen University, China
Email:
yujun@xmu.edu.cn