Advances in Feature Selection for Data and Pattern Recognition is popular PDF and ePub book, written by Urszula Stańczyk in 2017-11-16, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Advances in Feature Selection for Data and Pattern Recognition can be Read Online from any device for your convenience.

Advances in Feature Selection for Data and Pattern Recognition Book PDF Summary

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, professors and practitioners.

Detail Book of Advances in Feature Selection for Data and Pattern Recognition PDF

Advances in Feature Selection for Data and Pattern Recognition
  • Author : Urszula Stańczyk
  • Release : 16 November 2017
  • Publisher : Springer
  • ISBN : 9783319675886
  • Genre : Technology & Engineering
  • Total Page : 334 pages
  • Language : English
  • PDF File Size : 17,5 Mb

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