Advances in Machine Learning and Data Analysis

• 2D/3D Image Data Analysis for Object Tracking and Classification.- Robot Competence Development by Constructive Learning.- Using Digital Watermarking for Securing Next Generation Media Broadcasts.- A Reduced-Dimension Processor Model.- Hybrid Machine Learning Model for Continuous Microarray Time Series.- An Asymptotic Method to a Financial Optimization Problem.- Analytical Design of Robust Multi-loop PI Controller for Multi-time Delay Processes.- Automatic and Semi-automatic Methods for the Detection of Quasars in Sky Surveys.- Improving Low-Cost Sail Simulator Results by Artificial Neural Networks Models.- Rough Set Approaches to Unsupervised Neural Network Based Pattern Classifier.- A New Robust Combined Method for Auto Exposure and Auto White-Balance.- A Mathematical Analysis Around Capacitive Characteristics of the Current of CSCT: Optimum Utilization of Capacitors of Harmonic Filters.- Harmonic Analysis and Optimum Allocation of Filters in CSCT.- Digital Pen and Paper Technology as a Means of Classroom Administration Relief.- A Conceptual Model for a Network-Based Assessment Security System.- Incorrect Weighting of Absolute Performance in Self-Assessment.

From the reviews: "This is a collection of papers from a large international conference on advances in machine learning and data analysis ... . Readers who work with digital systems ... would benefit most from this book. ... Each chapter has ... a bibliography that helps readers find further references, when needed. ... the topics covered in this book should be of great interest to researchers and practitioners who want to apply machine learning technology and data analysis tools to problems in general electrical engineering areas ... ." (Xiannong Meng, ACM Computing Reviews, March, 2010)