Feature Extraction Foundations and Applications

Abstract

Learning from data may be a very complex task. To satisfactorily solve a variety of problems, many different types of algorithms may need to be combined. Feature extraction algorithms are valuable tools, which prepare data for other learning methods. To estimate their usefulness one must examine the whole complex processes they are parts of.