Call for Papers

(.pdf version)

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

Topics:

Methodological issues

- Supervised learning
- Unsupervised learning
- Combination of supervised and unsupervised learning
- Feedforward, recurrent, and competitive neural nets
- Kernel machines
- Hierarchical modular architectures and hybrid systems
- Combination of neural networks and Hidden Markov models
- Multiple classifier systems and ensemble methods
- Probabilistic graphical models
- Kernel methods
- Deep architectures

Applications in Pattern Recognition

- Image processing and segmentation
- Sensor-fusion and multi-modal processing
- Feature extraction, dimension reduction
- Clustering and vector quantization
- Speech and speaker recognition
- Data, text, and web mining
- Bioinformatics/Cheminformatics

Paper Submission:
Potential participants should submit a paper describing their work in one of the areas described above. Proceedings will be published as a volume in the Springer LNAI, maximum paper length is 12 pages in LNCS/LNAI format. Instructions for authors, LaTeX templates, etc. are available at the Springer LNCS/LNAI web-site. Submission of a paper constitutes a commitment that, if accepted, one or more authors will attend the workshop. On-line submission via EasyChair will be made available on this web-site timely.

Special Sessions:
Fellow scientists wishing to organize a special session are invited to submit a proposal to the ANNPR 2012 Chairs (or, to annpr2012@fbk.eu). Proposals should include the session title and a list of topics covered by the session. Three to six papers will be required for a special session to take place. Once the special session proposal has been approved by the ANNPR 2012 Chairs, the session organizers are expected to carry out the review process for the papers submitted to their session. Proposals must be received by March 8, 2012.