[visionlist] CfP - Special Session SparDa at CBMI 2017

[Duc Tien Dang Nguyen]

[Please distribute, Sorry for multiple copies]


19-21 June 2017, Florence, Italy

Sparse Data Machine Learning for Domains in Multimedia

Using multimedia in specific fields such as medicine or psychology is an
emerging trend, which gives the multimedia community an opportunity to
perform research that can have societal impact and help people.
Nevertheless, these domains often come with some challenges. One of the
biggest challenges is the availability of labeled data. In the area of
medicine, there are some areas and diseases that are well covered, for
example image and video data for polyp detection. Thus, even the well
covered areas have, compared to other datasets, very little data. This fact
makes it very challenging to apply machine learning methods and get
meaningful results. Especially, the highly praised and used deep learning
is very depending on a lot of good training data. Moreover, deep learning
might not be the silver bullet for tackling every problem. With this
special session, we want to emphasize that there are relevant and emerging
topics that might not or are against the odds be solvable with deep
learning and require a more open and broader point of view.

The scope of this session is machine learning in areas that come with a
lack of data, such as medicine, addressing the challenges described in the
motivation.

Examples for topic of interest are:

   -

   Traditional machine learning vs Deep learning
   -

   Machine Learning on small data
   -

   Deep learning with small datasets
   -

   Unsupervised machine learning
   -

   Data creation
   -

   Data annotation
   -

   Knowledge transfer
   -

   Areas with small multimedia datasets (for example medicine, psychology)
   -

   Multimedia tools and applications in fields with lack of data (for
   example medicine, psychology)


More information about the conference can be found here:
https://www.micc.unifi.it/cbmi2017/

For guidelines and submission procedure see Paper submission
<http://www.micc.unifi.it/cbmi2017/call-for-full-and-short-papers/authors.php>
.

The CBMI proceedings are traditionally indexed and distributed by IEEE
Xplore and ACM DL.
In addition, authors of the best papers of the conference will be invited
to submit extended versions of their contributions to a special issue of
Multimedia Tools and Applications journal (MTAP).

Important dates:

   -

   Full/short paper submission deadline: February 28, 2017
   -

   Notification of acceptance: April 10, 2017
   -

   Camera-ready papers: April 21, 2017


Organizers:

Konstantin Pogorelov - Simula Research Laboratory, Norway

Michael Riegler - Simula Research Laboratory, Norway

Duc-Tien Dang-Nguyen - Dublin City University, Ireland

Luca Piras - University of Cagliari, Italy

Paolo Rota - Vienna University of Technology, Austria

Pål Halvorsen - Simula Research Laboratory, Norway
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