View source for ANNPR 2010

{{Event
 | Acronym = ANNPR 2010
 | Title = TC3 Neural Networks and Computational Intelligence
 | Type = Conference
 | Series = 
 | Field = Artificial intelligence
 | Homepage = www.informatik.uni-ulm.de/ni/ANNPR10/index.html
 | Start date = Apr 11, 2010 
 | End date =  Apr 13, 2010
 | City= Cairo
 | State = 
 | Country =  Egypt
 | Abstract deadline = 
 | Submission deadline = Nov 1, 2009
 | Notification = 
 | Camera ready = Dec 15, 2009
}}

<pre>
The TC3 "Neural Networks & Computational Intelligence" is one of the 20 technical committees of the International Association on Pattern Recognition (IAPR). 

The scope of this TC is on all kinds of Computational Intelligence approaches, including artificial neural networks, fuzzy systems, evolutionary computing, 

with focus on pattern recognition applications. 

ANNPR 2010 follows the success of ANNPR 2003 (Florence), ANNPR 2006 (Ulm), and ANNPR 2008 (Paris). This 4th ANNPR workshop will act as a major forum for 

international researchers and practitioners working in all areas of neural network based pattern recognition to present and discuss the latest research, 

results, and ideas in these areas. 

Papers are solicited dealing with neural networks and pattern recognition which emphasize methodological issues arising in applications. 

They should be related but not limited to the following topics.


Methodological issues:

Supervised learning. 
Unsupervised learning. 
Combination of supervized and unsupervized learning. 
Feedforward networks and kernel machines 
Recurrent and competitive neural networks. 
Hierarchical modular architectures and hybrid systems. 
Combination of neural networks and Hidden Markov models. 
Multiple classifier systems and ensemble methods. 
Applications in Pattern Recognition

Image processing and segmentation. 
Sensorfusion and multimodal processing. 
Feature extraction, dimension reduction. 
Clustering and vector quantisation. 
Speech and speaker recognition. 
Data, text, and web mining. 
Bioinformatics. 
Paper submission:

Original and unpublished contributions are solicited which include regular papers and extended abstracts. Proceedings will be published as a volume in 

the Springer LNAI. Potential participants should submit a paper describing their work in one of the areas described above. 

Each regular paper must be accompanied by an abstract summarizing the contribution it makes to the field. 

Maximum paper length for regular papers is 12 pages in LNCS/LNAI format. 

Instructions for authors, LaTeX templates,etc are available at the (Springer LNCS/LNAI website). 

Extended abstracts can have at most six pages. Submission of a paper constitutes a commitment that, if accepted, one or more authors will attend the workshop. 

Electronic submission in camera-ready format is required. 

Please submit papers to the ANNPR chairs (F. Schwenker and N. El Gayar) annpr2010@uni-ulm.de 

Special Sessions:

Persons wishing to organise a special session should submit a proposal to the ANNPR chairs: (Email: annpr2010@uni-ulm.de).

Proposals should include the session title, a list of topics covered by the session and a list of 3-5 papers for possible presentation in the session.


Important Dates:

Proposals for special sessions: October 1, 2009

Paper submission: November 1, 2009

Notification of acceptance: December 1, 2009

Camera ready copies: December 15, 2009


Further information:


Contact Neamat El Gayar or Friedhelm Schwenker (Email: annpr2010@uni-ulm.de).
	</pre>This CfP was obtained from [http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=6196&amp;copyownerid=2 WikiCFP]
Acronym	ANNPR 2010 +
Camera ready due	December 15, 2009 +
End date	April 13, 2010 +
Event type	Conference +
Has coordinates	30° 2' 40", 31° 14' 9"Latitude: 30.044388888889 Longitude: 31.235725 +
Has location city	Cairo +
Has location country	Category:Egypt +
Homepage	http://www.informatik.uni-ulm.de/ni/ANNPR10/index.html +
IsA	Event +
Start date	April 11, 2010 +
Submission deadline	November 1, 2009 +
Title	TC3 Neural Networks and Computational Intelligence +