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| | Session 1: 1D patterns |
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"Long-term time series forecasting using self-organizing maps: the double vector quantization method" |
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G. Simon, A. Lendasse, M. Cottrell, M. Verlevsen |
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Paper |
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"Classification of bioacoustic time series by training a fusion layer with decision templates" |
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C. Dietrich, F. Schwenker, G. Palm |
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Paper |
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"Polyphonic music transcription thtough dynamic networks and spectral pattern identification" |
| A. Pertusa, J. M. Inesta |
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Paper |
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Session 2: Document Processing |
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| A new hybrid adaptive classifier for unconstrained character recognition
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| L. Prevost, C. Michel-Snedis, A. Moises, L. Oudot, M. Milgram |
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Paper N/A |
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| Digital analysis of damaged documents by ICA techniques
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| A. Tonazzini, L. Bedini, E. Salerno |
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Paper N/A |
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| High accuracy handwritten Chinese character recognition using support vector machine |
| J.Dong, C. Y. Suen, A. Krzyak |
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Paper N/A |
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| Similarity learning for text documents using neural networks |
| M. Diligenti, M. Maggini, L. Rigutini |
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Paper |
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| Unconstrained handwritten character recognition using different classification strategies |
| A. L. Koerich |
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Paper |
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| Matching modified X-Y trees for document classification |
| A. Prelie, M. Pavan, M. Pelillo |
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Paper N/A |
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| Coarse, detailed and fine classification of chinese characters |
| N. P. Matic |
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Paper N/A |
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| Signature verification using unsupervised learned neural networks |
| P. Mautner, O. Rohlik, V. Matousek, J. Kempf |
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Paper N/A |
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| Session 3: Image Processing |
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| Face spotting in colorimages using recursive neural networks |
| M. Bianchini, P. Mazzoni, L. Sarti, F. Scarselli |
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Paper |
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| The design of a markovian image-matching technique and its comparison to a variational technique in the context of mammogram registration |
| F. J. P. Richard |
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Paper |
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| Agent WiSARD: go and catch that image |
| E. Burattini, P. Coraggio, M. De Gregorio, B. Ripa |
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Paper |
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| Perceptron-based fusion of multiple fingerprint matchers |
| G. Marcialis, F. Roli |
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Paper N/A |
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| SystemC modelling of a neuro-fuzzy network for clustering of complex acoustic scenarios |
| R. Poluzzi, L. Arnone, A. Savi, A. Rosti, S. Bocchio |
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Paper N/A |
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| A comparison of feature extraction methods for scene analysis |
| S. Singh, M. Singh, M. Markou |
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Paper N/A |
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| Simulated annealing based neural network for recovering 3D shape from erroneous and few depth maps of shaded images |
| M. I. Fanany, I. Kumazawa |
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Paper N/A |
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Session 4: 2D patterns |
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| Gaussian basis function network novelty detection in the detection of airframe strain-gauge degradation using maximally correlated components |
| G. Hollier, J. Austin |
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Paper N/A |
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| Unsupervised spatial pattern classification of electrical failures in semiconductor manifacturing |
| G. De Nicolao, E. Pasquinetti, G. Miraglia, F. Piccinini |
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Paper |
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| Probabilistic neural network playing simple game |
| J. Grim, P. Just, P. Somol, P. Putin |
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Paper |
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| | Session 5: Keynote speech |
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| A comparison of neural networks and graphical models for syntactic and structural PR |
| Terry Caelli |
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Paper N/A |
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| | Session 6: Theoretical issues |
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| Pattern recognition as a deterministic problem: an approach based on discrepancy |
| C. Cervellera, M. Muselli |
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Paper |
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| Learning from data by neural networks with a limited complexity |
| V. Kurkova, M. Sanguinetti |
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Paper |
| An efficient improvement of the Rprop algorithm |
| A. D. Anastasiadis, G.D. Magoulas, M.N. Vrahatis |
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Paper N/A |
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| | Session 7: Learning in structured domains |
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| A supervised self-organizing map for structures |
| M. Hagenbuchner, A. C. Tsoi |
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Paper N/A |
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| Comparing convolutional kernels and recursive neural networks for learning preferences on structured domains |
| S. Menchetti, F. Costa, P. Frasconi, M. Pontil |
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Paper |
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| Optimizing directed acyclic graph support vector machines |
| F. Tahahashi, S. Abe |
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Paper |
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| Hierarchical clustering using annealed replicator dynamics |
| M. Pavan, M. Pelillo |
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| | Session 8:Classifiers and learning |
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| Exploring the set of sparse, optimal classifiers |
| M. Brown |
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Paper |
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| Unsupervised learning of a finite Dirichlet mixture model |
| B. Nizar, Z. Djemel |
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Paper |
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| Error correcting output codes vs. fuzzy support vector machines |
| T. Kikuchi, S. Abe |
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Paper |
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