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CALL FOR SUBMISSIONS<br>
<br>
The Workshop New Challenges in Neurocomputing and Machine Learning
(NC^2)<br>
will be held in conjunction to GCPR'16
(<a class="moz-txt-link-freetext" href="http://www.kcmweb.de/conferences/gcpr2016/">http://www.kcmweb.de/conferences/gcpr2016/</a><a
class="moz-txt-link-freetext"
href="http://www.gcpr2013.uni-saarland.de/"></a>)<br>
at September, 12th, 2016, in Hanover, Germany.<br>
<br>
See: <a class="moz-txt-link-freetext"
href="http://www.techfak.uni-bielefeld.de/%7Ebhammer/GINN/NC2/">http://www.techfak.uni-bielefeld.de/~bhammer/GINN/NC2/</a><br>
<br>
We are happy to announce two renowned invited speakers:<br>
Marc Toussaint (University of Stuttgart) and Joerg Luecke
(University of Oldenbourg)<br>
who will present their recent results in autonomous learning and
deep learning, respectively.<br>
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<p> Submissions are welcome connected to the following
non-exhaustive list of topics:<br>
</p>
<ul>
<li> nonlinear dimensionality reduction, blind source separation,
and visualization </li>
<li> models for very large or streaming data sets </li>
<li> parallelization and hardware implementations </li>
<li> models for non-euclidean data </li>
<li> recursive models and dynamic systems </li>
<li> adaptive data representation </li>
<li> bio-inspired models </li>
<li>deep learning</li>
<li> challenges in machine learning </li>
<li> challenges in applications </li>
</ul>
<p>Submission deadline is June, 30th, 2016.<br>
</p>
ORGANIZERS:<br>
<br>
Barbara Hammer, Thomas Martinetz, Thomas Villmann<br>
<br>
PROGRAMM COMMITTEE:<br>
<br>
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Michael Biehl, Kerstin Bunte, Benoit Frenay, Andrej Gisbrecht, Fred
Hamker, Gunther Heidemann, Sven Hellbach, Christian Igel, Oliver
Kramer, Paulo Lisboa, Alessio Micheli, Madalena Olteanu, Jaakko
Peltonen, Felix Reinhart, Franco Scarselli, Frank-Michael Schleif,
Friedhelm Schwenker, Udo Seiffert, Peter Tino, Heiko Wersing, Rolf
Würtz<br>
<pre class="moz-signature" cols="72">--
Prof. Dr. Barbara Hammer
CITEC centre of excellence
Bielefeld University
D-33594 Bielefeld
Phone: +49 521 / 106 12115
Fax: +49 521 / 106 12181</pre>
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