[Comp-neuro] [CFP]ICDM2016 Workshop Data Mining in Human Activity Analysis (DMHAA)

刘伟锋 liuwfxy at gmail.com
Wed May 18 16:09:22 CEST 2016


[Apologies for cross-postings]

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Call for papers


ICDM2016 Workshop  Data Mining in Human Activity Analysis (DMHAA)


December 12, 2016


http://staff.ustc.edu.cn/~xinmei/ICDM2016_Workshop/ICDM2016_Workshop.html

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 Human activity analysis is an important area of computer vision and
pattern recognition research with the rapid development of computing and
sensing technologies such as the emergence of social network and wearable
devices. It is becoming more and more critical to develop human-centered
multimedia analytics including human behavior recognition, personal data
mining, experiences of wearable-device applications, intelligent
surveillance, semantic relationship analysis between heterogeneous
multimedia.  The development of the Internet of Things opens up great
potential.

  Many data mining or machine learning techniques have recently been
successfully developed and applied to human activity analysis. For example,
smart devices (e.g. Microsoft’s SenseCam, Google Glass, smart phone, smart
watches, portable EEG acquisition devices, etc.) facilitate the capture and
collection of human activity multimedia; sparse representation is widely
employed for human activity recognition; multi-view learning algorithms
significantly boost the performance of  human re-identify; manifold
learning algorithms dramatically enhance the recognition rates in human
behavior analysis where there is only a few labeled samples; and deep
learning has produced promising results in many human-centered applications.

  Motivated by the inclination to collect a set of recent advances and
results in these related topics, provide a platform for researchers to
exchange their innovative ideas and attractive improvements on human
activity analysis, and introduce interesting utilizations of data mining
and machine learning algorithms for particular human-centered applications,
this workshop will target emergent data mining methods for human activity
analysis.

  To summarize, this workshop welcomes a broad range of submissions
developing and using data mining techniques for human activity analysis. We
are especially interested in 1) theoretical advances as well as algorithm
developments in data mining for human activity analysis, 2) reports of
practical applications and system innovations in human activity analysis,
and 3) novel data sets as test bed for new developments, preferably with
implemented standard benchmarks. The following list suggests topics of
interest (but not limited to):



 •   Multi-view Learning algorithms for Human Activity Analysis

 •   Sparse and/or Manifold Learning for Human Activity Representation

 •  Human Action Recognition in Images/Videos

 •   Human Behavior Analysis

 •   Human-centered Social Media Analytics

 •   Smart Computing for Personal Data Mining

 •   Deep Learning for Human-centered Media

 •   Parallel Computing for Human-centered Media

 •   Experiences of wearable-device applications

 •   Human-centered Data Visualization

 •   Analytics developed from Computational Psychoanalysis and related
underpinnings.



Accepted papers will be included in the IEEE ICDM 2016 Workshops
Proceedings volume published by IEEE Computer Society Press, and will also
be included in the IEEE Xplore Digital Library. The workshop proceedings
will be in a CD separated from the CD of the main conference. The CD is
produced by IEEE Conference Publishing Services (CPS).



Important Dates



August 12, 2016: Due date for full workshop papers

September 13, 2016: Notification of workshop papers acceptance to authors

September 20, 2016: Camera-ready deadline for accepted papers

December 12, 2016: Workshop date



Instruction for paper submission



The page limit of workshop papers is 8 pages in the standard IEEE 2-column
format (
http://www.ieee.org/conferences_events/conferences/publishing/templates.html),
including the bibliography and any possible appendices.


All papers must be formatted according to the IEEE Computer Society
proceedings manuscript style, following IEEE ICDM 2016 submission
guidelines available at http://icdm2016.eurecat.org/.



Papers should be submitted in PDF format, electronically, using the
CyberChair submission system (
https://wi-lab.com/cyberchair/2016/icdm16/scripts/submit.php?subarea=S08&undisplay_detail=1&wh=/cyberchair/2016/icdm16/scripts/ws_submit.php
).



Registration and expenses



  Every workshop paper must have at least one paid registration in order to
be published, no matter whether the author is a workshop organizer or an
invited speaker.



Workshop organizers:



Dr. Xinmei Tian

Department of Electronic Engineering and Information Science, University of
Science and Technology of China, Hefei, Anhui, China, 230027.

Email: xinmei at ustc.edu.cn

Website: http://staff.ustc.edu.cn/~xinmei/

Phone: +86 551-63600281

Dr. Weifeng Liu,

China University of Petroleum (East China),

#66, Changjiang Road West, Huangdao District, Qingdao 266480, China,

Email: liuwf at upc.edu.cn

Prof. Fionn Murtagh

Department of Computing and Mathematics, University of Derby, Derby DE22
1GB, UK, and Department of Computing, Goldsmiths, University of London,
London, SE14 6NW, UK..

Email: fmurtagh at acm.org

Website: http://www.fmurtagh.info
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