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ORCIDANNPR 2008: Paris, France
- Lionel Prevost, Simone Marinai, Friedhelm Schwenker:
Artificial Neural Networks in Pattern Recognition, Third IAPR Workshop, ANNPR 2008, Paris, France, July 2-4, 2008, Proceedings. Lecture Notes in Computer Science 5064, Springer 2008, ISBN 978-3-540-69938-5
Unsupervised Learning
- Alexander Hasenfuss, Barbara Hammer
, Fabrice Rossi:
Patch Relational Neural Gas - Clustering of Huge Dissimilarity Datasets. 1-12 - Rodolphe Priam, Mohamed Nadif, Gérard Govaert:
The Block Generative Topographic Mapping. 13-23 - Kaspar Riesen, Horst Bunke:
Kernel k-Means Clustering Applied to Vector Space Embeddings of Graphs. 24-35 - Anastasios Alivanoglou, Aristidis Likas:
Probabilistic Models Based on the Pi-Sigmoid Distribution. 36-43 - Chih-Cheng Lu, C. C. Li, Hsin Chen:
How Robust Is a Probabilistic Neural VLSI System Against Environmental Noise. 44-53
Supervised Learning
- Shigeo Abe:
Sparse Least Squares Support Vector Machines by Forward Selection Based on Linear Discriminant Analysis. 54-65 - Jean-François Connolly, Eric Granger, Robert Sabourin:
Supervised Incremental Learning with the Fuzzy ARTMAP Neural Network. 66-77 - Marc Strickert, Petra Schneider, Jens Keilwagen, Thomas Villmann, Michael Biehl, Barbara Hammer:
Discriminatory Data Mapping by Matrix-Based Supervised Learning Metrics. 78-89 - Stefan Faußer, Friedhelm Schwenker:
Neural Approximation of Monte Carlo Policy Evaluation Deployed in Connect Four. 90-100 - Monica Bianchini, Ernesto Di Iorio, Marco Maggini, Augusto Pucci:
Cyclostationary Neural Networks for Air Pollutant Concentration Prediction. 101-112 - Vasileios L. Georgiou, Philipos D. Alevizos, Michael N. Vrahatis:
Fuzzy Evolutionary Probabilistic Neural Networks. 113-124 - Christian Thiel, Britta Sonntag, Friedhelm Schwenker:
Experiments with Supervised Fuzzy LVQ. 125-132 - Stefano Melacci, Lorenzo Sarti, Marco Maggini, Monica Bianchini:
A Neural Network Approach to Similarity Learning. 133-136 - Cheng-Lin Liu:
Partial Discriminative Training of Neural Networks for Classification of Overlapping Classes. 137-146
Multiple Classifiers
- Ludwig Lausser, Malte Buchholz, Hans A. Kestler:
Boosting Threshold Classifiers for High- Dimensional Data in Functional Genomics. 147-156 - Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo:
Decision Fusion on Boosting Ensembles. 157-167 - Mercedes Fernández-Redondo, Joaquín Torres-Sospedra, Carlos Hernández-Espinosa:
The Mixture of Neural Networks as Ensemble Combiner. 168-179 - Amber Tomas:
Combining Methods for Dynamic Multiple Classifier Systems. 180-192 - Carlos Hernández-Espinosa, Joaquín Torres-Sospedra, Mercedes Fernández-Redondo:
Researching on Multi-net Systems Based on Stacked Generalization. 193-204
Applications
- Stefan Scherer, Mohamed Oubbati, Friedhelm Schwenker, Günther Palm:
Real-Time Emotion Recognition from Speech Using Echo State Networks. 205-216 - Heiner Markert, Zöhre Kara Kayikci, Günther Palm:
Sentence Understanding and Learning of New Words with Large-Scale Neural Networks. 217-227 - Xavier Clady, Pablo Negri, Maurice Milgram, Raphael Poulenard:
Multi-class Vehicle Type Recognition System. 228-239 - Francisco Javier Díaz Pernas, Míriam Antón-Rodríguez, José Fernando Díez Higuera, Mario Martínez-Zarzuela:
A Bio-inspired Neural Model for Colour Image Segmentation. 240-251 - Hisham El-Shishiny, Sally Deraz, Omar Bahy Badreddin:
Mining Software Aging Patterns by Artificial Neural Networks. 252-262 - Antônio de Pádua Braga, Euler G. Horta, René Natowicz, Roman Rouzier, Roberto Incitti, Thiago S. Rodrigues, Marcelo Azevedo Costa, Carmen D. M. Pataro, Arben Çela:
Bayesian Classifiers for Predicting the Outcome of Breast Cancer Preoperative Chemotherapy. 263-266
Feature Selection
- Terry Windeatt, Kaushala Dias:
Feature Ranking Ensembles for Facial Action Unit Classification. 267-279 - Ludovic Journaux, Marie-France Destain, Johel Mitéran, Alexis Piron, Frédéric Cointault:
Texture Classification with Generalized Fourier Descriptors in Dimensionality Reduction Context: An Overview Exploration. 280-291 - Kaushik Roy, Prabir Bhattacharya:
Improving Features Subset Selection Using Genetic Algorithms for Iris Recognition. 292-304 - Seref Sagiroglu, Necla Özkaya:
Artificial Neural Network Based Automatic Face Model Generation System from Only One Fingerprint. 305-316
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