Artificial Neural Networks in Pattern Recognition Third IAPR TC3 Workshop, ANNPR 2008 Paris, France, July 2-4, 2008, Proceedings /

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Prevost, Lionel (Editor ), Marinai, Simone (Editor ), Schwenker, Friedhelm (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008.
Edición:1st ed. 2008.
Colección:Lecture Notes in Artificial Intelligence, 5064
Temas:
Data mining.
Computer engineering.
Computer networks .
Pattern recognition systems.
Artificial intelligence.
Application software.
Biometric identification.
Data Mining and Knowledge Discovery.
Computer Engineering and Networks.
Automated Pattern Recognition.
Artificial Intelligence.
Computer and Information Systems Applications.
Biometrics.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

Ejemplares similares