WIRN 95

[Tagliaferri Roberto]

                           WIRN VIETRI '95

     VII ITALIAN WORKSHOP ON NEURAL NETS

                     IIASS  "E. R. Caianiello",  Vietri s/m (SA), Italy

                                            May 18-20, 1995

Thursday 18 May

Mathematical Models

9.30 
Analog computations on networks of spiking neurons
Maass W.

9.50 
A general learning framework for the RAAM family
Sperduti A., Starita A.

10.10
On-line learning from clustered input examples
Biehl M., Riegler P., Solla S.A., Marangi C.

10.30
A study of the unsupervised learning algorithms
Tirozzi B., Feng J.

10.50
Conceptual spaces and attentive mechanisms for scene analysis
Chella A., Frixione M., Gaglio S.

11.10 
Neural approximations for nonlinear finite-memory state estimators
Alessandri A., Parisini T., Zoppoli R.

11.30 
COFFEE BREAK

12.00 
Using neural networks to guide term simplification: some results for the group 
theory
Paccanaro A.

12.20
Modelling the Wiener cascade using time delayed and recurrent neural networks
Wagner M.G., Thompson I.M., Manchanda S., Hearne P.G., Green G.G.R.




12.40
The anti-Hebbian synapse in a nonlinear neural network
Palmieri F.

13.00
Model of color perception
Damianovic' Z.

13.20
LUNCH


15.30
Pasero E. (Review talk)

Architectures and Algorithms

16.30
Multiple topology representing networks
Sanguineti V., Spada G., Chiaverini S., Morasso P.

16.50
A digital MLP architecture for real-time hierarchical classification
Caviglia D.D., Marchesi M., Valle M., Baiardo V., Baratta D.

17.10
Hardware implementation of neural systems for visual target tracking
Colla A.M., Trogu L., Zunino R.

17.30
COFFEE BREAK

18.00
Using neural networks to reduce schedules in time-critical communication 
systems
Cavalieri S., Mirabella O.

18.20
Training feedforward neural networks in the presence of prior information
Burrascano P., Pirollo D.

18.40
A statistical-neural algorithm based on neural-gas network for dynamic 
localisation of robots
Giuffrida F., Vercelli G., Morasso P.

19.00
A neural network for soft-decision decoding of Reed-Solomon codes
Ortn Ortuno I.






Friday 19 May

9.30 
Oja E. (Invited talk)

Pattern Recognition

10.30
An interactive neural network based approach to the segmentation of multimodal 
medical images
Firenze F., Schenone A., Acquarone F., Morasso P.

10.50
Image compression method based on backpropagation neural network and 
discrete orthogonal transforms
Oravec M.

11.10
On choosing the parameters in the dynamic link network
Feng F., Tirozzi B.

11.30
COFFEE BREAK

12.00
A neural network for spectral analysis of stratigraphic records
Brescia M., D'Argenio B.,Ferreri V., Longo G., Pelosi N., Rampone S., Tagliaferri R.

12.20
Orlandi G. (Review talk)

13.20
Lunch

15.00
Poster Session

17.00
E. R. Caianiello Fellowship Award

17.10
ANNUAL SIREN MEETING

20.00
Conference Dinner


Saturday 20 May

9.30 
Jordan M. (Invited talk)




Pattern Recognition

10.30
A modular neural architecture related to computational neural mechanism for the 
solution of a pattern recognition problem
Morabito F.C., Campolo M.

10.50
Atmospheric pressure wave forecasting through fuzzy systems
Masulli F., Casalino F., Caviglia R., Papa L.

11.10
Neural fuzzy image segmentation by a hierarchical approach
Petrosino A., Marsella M.

11.30
COFFEE BREAK

Applications

12.00
A fuzzy neural network for the detection of anomalies
Marsella M., Meneganti M., Tagliaferri R.

12.20
A fuzzy neural network for the on-line detection of B.O.D.
Mappa G., Salvi G., Tagliaferri R.

12.40
An efficient multilayer perceptron for handwritten character recognition
Gioiello M., Tarantino A., Sorbello F., Vassallo G.

13.00
Neural-based forecasting of physical measures in a power plant
Bruzzo S., Camastra F., Colla A.M.



Poster Session

A global cost-function for multilayer networks
Zecchina R.

Adaptive representation properties of the circular back-propagation model
Ridella S., Rovetta S., Zunino R.

Off-line supervised learning from clustered input examples
Marangi C., Solla S.A., Biehl M., Riegler P.

Images clustering through neural networks
Borghese N.A.

A wavelet application to the analysis of stratigraphic records
D'Argenio B., D'Urzo C., Longo G., Pelosi N., Rampone S., Tagliaferri R.

Can learning process in neural networks be considered as a phase transition?
Pessa E., Pietronilla Penna M.

Self-explanation in a learning McCulloch and Pitts net 
Lauria F.E., Sette M., Visco S.

A fast and robust BCS application to the stereo vision
Ardizzone E., Molinelli D., Pirrone R.

Analog CMOS pseudo-random generator for the VLSI implementation of the 
Boltzmann machine
Belhaire E., Caviglia D.D., Garda P., Morgavi G., Valle M.

Polynomial time approximation of min-energy in Hopfield networks
Bertoni A., Campadelli P., Posenato R.

A hybrid symbolic subsymbolic system for distributed parameter systems
Apolloni B., Piccolboni A., Sozzio E.

Image reconstruction using improved ``Neural-gas" 
Fontana M., Borghese N.A., Ferrari S.



                          WIRN VIETRI '95

     VII ITALIAN WORKSHOP ON NEURAL NETS

           POSTCONFERENCE SHORT COURSE

                    IIASS  "E. R. Caianiello",  Vietri s/m (SA), Italy

                                          May 22-23, 1995



Professor E. Oja : The self-organizing map in data classification and   
                           clustering

Professor M. Jordan : 1) Regole di apprendimento basate sull' algoritmo  
			          E.M.
                                 2) Regole di apprendimento basate sulla meccanica                         
			          statistica



Monday 22 May

15.00-16.50
E. Oja

17.10-19.00
M. Jordan


Tuesday 23 May

15.00-16.50
M. Jordan

17.10-19.00
E. Oja