Artificial Neural Networks in Pattern Recognition Third IAPR Workshop, ANNPR 2008 Paris, France, July 2-4, 2008 Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Prevost, Lionel (Επιμελητής έκδοσης), Marinai, Simone (Επιμελητής έκδοσης), Schwenker, Friedhelm (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.
• Σειρά: Lecture Notes in Computer Science, 5064
• Θέματα: Computer science.; Data mining.; Artificial intelligence.; Pattern recognition.; Biometrics (Biology).; Computer engineering.; Computer Science.; Data Mining and Knowledge Discovery.; Computer Engineering.; Pattern Recognition.; Artificial Intelligence (incl. Robotics).; Information Systems Applications (incl. Internet).; Biometrics.

Πίνακας περιεχομένων:

• Unsupervised Learning
• Patch Relational Neural Gas – Clustering of Huge Dissimilarity Datasets
• The Block Generative Topographic Mapping
• Kernel k-Means Clustering Applied to Vector Space Embeddings of Graphs
• Probabilistic Models Based on the ?-Sigmoid Distribution
• How Robust Is a Probabilistic Neural VLSI System Against Environmental Noise
• Supervised Learning
• Sparse Least Squares Support Vector Machines by Forward Selection Based on Linear Discriminant Analysis
• Supervised Incremental Learning with the Fuzzy ARTMAP Neural Network
• Discriminatory Data Mapping by Matrix-Based Supervised Learning Metrics
• Neural Approximation of Monte Carlo Policy Evaluation Deployed in Connect Four
• Cyclostationary Neural Networks for Air Pollutant Concentration Prediction
• Fuzzy Evolutionary Probabilistic Neural Networks
• Experiments with Supervised Fuzzy LVQ
• A Neural Network Approach to Similarity Learning
• Partial Discriminative Training of Neural Networks for Classification of Overlapping Classes
• Multiple Classifiers
• Boosting Threshold Classifiers for High– Dimensional Data in Functional Genomics
• Decision Fusion on Boosting Ensembles
• The Mixture of Neural Networks as Ensemble Combiner
• Combining Methods for Dynamic Multiple Classifier Systems
• Researching on Multi-net Systems Based on Stacked Generalization
• Applications
• Real-Time Emotion Recognition from Speech Using Echo State Networks
• Sentence Understanding and Learning of New Words with Large-Scale Neural Networks
• Multi-class Vehicle Type Recognition System
• A Bio-inspired Neural Model for Colour Image Segmentation
• Mining Software Aging Patterns by Artificial Neural Networks
• Bayesian Classifiers for Predicting the Outcome of Breast Cancer Preoperative Chemotherapy
• Feature Selection
• Feature Ranking Ensembles for Facial Action Unit Classification
• Texture Classification with Generalized Fourier Descriptors in Dimensionality Reduction Context: An Overview Exploration
• Improving Features Subset Selection Using Genetic Algorithms for Iris Recognition
• Artificial Neural Network Based Automatic Face Model Generation System from Only One Fingerprint.