Advances in Feature Selection for Data and Pattern Recognition
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Beschreibung
This book presents recent developments and research trends in the field of feature selection for data and pattern recognition, highlighting a number of latest advances.
The field of feature selection is evolving constantly, providing numerous new algorithms, new solutions, and new applications. Some of the advances presented focus on theoretical approaches, introducing novel propositions highlighting and discussing properties of objects, and analysing the intricacies of processes and bounds on computational complexity, while others are dedicated to the specific requirements of application domains or the particularities of tasks waiting to be solved or improved.
Divided into four parts – nature and representation of data; ranking and exploration of features; image, shape, motion, and audio detection and recognition; decision support systems, it is of great interest to a large section of researchers including students, professorsand practitioners.
Discusses recent developments and research trends in the field of feature selection and data and pattern recognition
Presents theoretical approaches as well as applications
Introduces novel propositions, highlighting and discussing properties of objects, analyzing intricacies of processes, and bounds on computational complexity
Discusses recent developments and research trends in the field of feature selection and data and pattern recognition Presents theoretical approaches as well as applications Introduces novel propositions, highlighting and discussing properties of objects, analyzing intricacies of processes, and bounds on computational complexity Includes supplementary material: sn.pub/extras
Autor*in
Urszula Stańczyk
Themen in »Advances in Feature Selection for Data and Pattern Recognition«
Intelligent Systems Computational Intelligence Feature Selection Pattern Recognition Classification Data Mining