Machine Learning and Data Mining in Pattern Recognition

Chapter 1 Learning in Pattern Recognition

Chapter 2 Advances in Predictive Data Mining Methods

Chapter 3 Multi-valued and Universal Binary Neurons: Learning Algorithms, Application to Image Processing and Recognition

Chapter 4 A Dynamics of the Hough Transform and Artificial Neural Networks

Chapter 5 Applications of Cellular Neural Networks for Shape from Shading Problem

Chapter 6 Unsupervised Learning of Local Mean Gray Values for Image Pre-processing

Chapter 7 Neural Networks in MR Image Estimation from Sparsely Sampled Scans

Chapter 8 Extraction of Local Structural Features in Images by Using a Multi-scale Relevance Function

Chapter 9 Independent Feature Analysis for Image Retrieval

Chapter 10 Non-hierarchical Clustering with Rival Penalized Competitive Learning for Information Retrieval

Chapter 11 Automatic Design of Multiple Classifier Systems by Unsupervised Learning

Chapter 12 A Comparison between Neural Networks and Decision Trees

Chapter 13 Symbolic Learning Techniques in Paper Document Processing

Chapter 14 Recognition of Printed Music Score

Chapter 15 Reproductive Process-Oriented Data Mining from Interactions between Human and Complex Artifact System

Chapter 16 Generalised Fuzzy Aggregation Operators

Chapter 17 A Data Mining Application for Monitoring Environmental Risks