THE ORGANIZING COMMITTEE THANKS YOU FOR COMING TO PARIS !

 

Workshop proceedings are published in the Springer Lecture Notes in Artificial Intelligence serie.

Keynote speech slides by Patrick GALLINARI are available (.ppt).

 

We are pleased to announce that the Third IAPR International Workshop on Artificial Neural Networks in Pattern Recognition will take place in Paris.

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 workshop includes all kinds of Computational Intelligence approaches, including artificial neural networks, fuzzy systems, evolutionary computing, with focus on pattern recognition applications. ANNPR 2008 follows the success of the first workshops: ANNPR 2003 held at the University of Florence, Italy, and ANPPR 2006 held at castle Reisensburg, University of Ulm, Germany.

This third 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 researches, results, and ideas in these areas.

29 high-quality papers (out of 57 submitted) will be presented during the workshop.

Workshop proceedings will be published in the Springer Lecture Notes in Artificial Intelligence serie.

Topics of interest include, but are not limited to:

Methodological issues:

• Supervised and unsupervised learning
• Combinations of supervised and unsupervised learning
• Feed forward networks and kernel machines, recurrent and competitive neural networks
• Hierarchical modular architectures and hybrid systems
• Multiple classifier systems and ensemble methods
Applications in Pattern Recognition:

• Image processing and segmentation
• Sensor fusion and multimodal processing
• Feature extraction, dimension reduction, clustering and vector quantization
• Speech and speaker recognition
• Document image analysis and recognition
• Data, text and web mining
• Bioinformatics

 

Call for paper