Search Techniques in Intelligent Classification Systems

Nonfiction, Computers, Advanced Computing, Engineering, Computer Vision, Science & Nature, Mathematics, Applied
Cover of the book Search Techniques in Intelligent Classification Systems by Andrey V. Savchenko, Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Andrey V. Savchenko ISBN: 9783319305158
Publisher: Springer International Publishing Publication: May 2, 2016
Imprint: Springer Language: English
Author: Andrey V. Savchenko
ISBN: 9783319305158
Publisher: Springer International Publishing
Publication: May 2, 2016
Imprint: Springer
Language: English

A unified methodology for categorizing various complex objects is presented in this book. Through probability theory, novel asymptotically minimax criteria suitable for practical applications in imaging and data analysis are examined including the special cases such as the Jensen-Shannon divergence and the probabilistic neural network. An optimal approximate nearest neighbor search algorithm, which allows faster classification of databases is featured. Rough set theory, sequential analysis and granular computing are used to improve performance of the hierarchical classifiers. Practical examples in face identification (including deep neural networks), isolated commands recognition in voice control system and classification of visemes captured by the Kinect depth camera are included. This approach creates fast and accurate search procedures by using exact probability densities of applied dissimilarity measures.

This book can be used as a guide for independent study and as supplementary material for a technically oriented graduate course in intelligent systems and data mining. Students and researchers interested in the theoretical and practical aspects of intelligent classification systems will find answers to:

- Why conventional implementation of the naive Bayesian approach does not work well in image classification?

- How to deal with insufficient performance of hierarchical classification systems?

- Is it possible to prevent an exhaustive search of the nearest neighbor in a database?

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

A unified methodology for categorizing various complex objects is presented in this book. Through probability theory, novel asymptotically minimax criteria suitable for practical applications in imaging and data analysis are examined including the special cases such as the Jensen-Shannon divergence and the probabilistic neural network. An optimal approximate nearest neighbor search algorithm, which allows faster classification of databases is featured. Rough set theory, sequential analysis and granular computing are used to improve performance of the hierarchical classifiers. Practical examples in face identification (including deep neural networks), isolated commands recognition in voice control system and classification of visemes captured by the Kinect depth camera are included. This approach creates fast and accurate search procedures by using exact probability densities of applied dissimilarity measures.

This book can be used as a guide for independent study and as supplementary material for a technically oriented graduate course in intelligent systems and data mining. Students and researchers interested in the theoretical and practical aspects of intelligent classification systems will find answers to:

- Why conventional implementation of the naive Bayesian approach does not work well in image classification?

- How to deal with insufficient performance of hierarchical classification systems?

- Is it possible to prevent an exhaustive search of the nearest neighbor in a database?

More books from Springer International Publishing

Cover of the book Humans and Machines at Work by Andrey V. Savchenko
Cover of the book Applied Regression Analysis for Business by Andrey V. Savchenko
Cover of the book Smart Grids: Security and Privacy Issues by Andrey V. Savchenko
Cover of the book History of Nordic Computing 4 by Andrey V. Savchenko
Cover of the book Global LAnd Surface Satellite (GLASS) Products by Andrey V. Savchenko
Cover of the book Race and Representative Bureaucracy in American Policing by Andrey V. Savchenko
Cover of the book Congenital Heart Disease in Pediatric and Adult Patients by Andrey V. Savchenko
Cover of the book Application of Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions by Andrey V. Savchenko
Cover of the book Collaboration Across Boundaries for Social-Ecological Systems Science by Andrey V. Savchenko
Cover of the book Astrophotography on the Go by Andrey V. Savchenko
Cover of the book Biofuels in Brazil by Andrey V. Savchenko
Cover of the book Digital Business by Andrey V. Savchenko
Cover of the book Advances in Data Analysis with Computational Intelligence Methods by Andrey V. Savchenko
Cover of the book Neural Information Processing by Andrey V. Savchenko
Cover of the book Berichte zur Lebensmittelsicherheit 2013 by Andrey V. Savchenko
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy