Search Techniques In Intelligent Classification Systems
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| Author | : Andrey V. Savchenko |
| Publisher | : Springer |
| Total Pages | : 92 |
| Release | : 2016-05-02 |
| Genre | : Mathematics |
| ISBN | : 3319305158 |
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?
| Author | : Duc Pham |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 308 |
| Release | : 2012-12-06 |
| Genre | : Computers |
| ISBN | : 1447107217 |
This work gives a concise introduction to four important optimization techniques, presenting a range of applications drawn from electrical, manufacturing, mechanical, and systems engineering-such as the design of microstrip antennas, digital FIR filters, and fuzzy logic controllers. The book also contains the C programs used to implement the main techniques for those wishing to experiment with them.
| Author | : Sanghamitra Bandyopadhyay |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 320 |
| Release | : 2007-05-17 |
| Genre | : Computers |
| ISBN | : 3540496076 |
This book provides a unified framework that describes how genetic learning can be used to design pattern recognition and learning systems. It examines how a search technique, the genetic algorithm, can be used for pattern classification mainly through approximating decision boundaries. Coverage also demonstrates the effectiveness of the genetic classifiers vis-à-vis several widely used classifiers, including neural networks.
| Author | : Siddhartha Bhattacharyya |
| Publisher | : Academic Press |
| Total Pages | : 420 |
| Release | : 2021-07-31 |
| Genre | : Computers |
| ISBN | : 0323851797 |
The field of computational intelligence has grown tremendously over that past five years, thanks to evolving soft computing and artificial intelligent methodologies, tools and techniques for envisaging the essence of intelligence embedded in real life observations. Consequently, scientists have been able to explain and understand real life processes and practices which previously often remain unexplored by virtue of their underlying imprecision, uncertainties and redundancies, and the unavailability of appropriate methods for describing the incompleteness and vagueness of information represented. With the advent of the field of computational intelligence, researchers are now able to explore and unearth the intelligence, otherwise insurmountable, embedded in the systems under consideration. Computational Intelligence is now not limited to only specific computational fields, it has made inroads in signal processing, smart manufacturing, predictive control, robot navigation, smart cities, and sensor design to name a few. Recent Trends in Computational Intelligence Enabled Research: Theoretical Foundations and Applications explores the use of this computational paradigm across a wide range of applied domains which handle meaningful information. Chapters investigate a broad spectrum of the applications of computational intelligence across different platforms and disciplines, expanding our knowledge base of various research initiatives in this direction. This volume aims to bring together researchers, engineers, developers and practitioners from academia and industry working in all major areas and interdisciplinary areas of computational intelligence, communication systems, computer networks, and soft computing. - Provides insights into the theory, algorithms, implementation, and application of computational intelligence techniques - Covers a wide range of applications of deep learning across various domains which are researching the applications of computational intelligence - Investigates novel techniques and reviews the state-of-the-art in the areas of machine learning, computer vision, soft computing techniques
| Author | : Ying Tan |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 611 |
| Release | : 2011-05-26 |
| Genre | : Computers |
| ISBN | : 3642215238 |
The two-volume set (LNCS 6728 and 6729) constitutes the refereed proceedings of the International Conference on Swarm Intelligence, ICSI 2011, held in Chongqing, China, in June 2011. The 143 revised full papers presented were carefully reviewed and selected from 298 submissions. The papers are organized in topical sections on theoretical analysis of swarm intelligence algorithms, particle swarm optimization, applications of pso algorithms, ant colony optimization algorithms, bee colony algorithms, novel swarm-based optimization algorithms, artificial immune system, differential evolution, neural networks, genetic algorithms, evolutionary computation, fuzzy methods, and hybrid algorithms - for part I. Topics addressed in part II are such as multi-objective optimization algorithms, multi-robot, swarm-robot, and multi-agent systems, data mining methods, machine learning methods, feature selection algorithms, pattern recognition methods, intelligent control, other optimization algorithms and applications, data fusion and swarm intelligence, as well as fish school search - foundations and applications.
| Author | : Chattrakul Sombattheera |
| Publisher | : Springer |
| Total Pages | : 342 |
| Release | : 2013-01-13 |
| Genre | : Computers |
| ISBN | : 3642354556 |
This volume constitutes the refereed proceedings of the 6th Multi-disciplinary International Workshop On Artificial Intelligence, MIWAI 2012, held in Ho Chi Minh City, Vietnam, in December 2012. The 29 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections in AI-GIS for climate change, computer vision, decision theory, e-commerce and AI, multiagent planning and learning, game theory, industrial applications of AI, multiagent systems and evolving intelligence, robotics and Web services.
| Author | : Luo, ZongWei |
| Publisher | : IGI Global |
| Total Pages | : 433 |
| Release | : 2014-03-31 |
| Genre | : Technology & Engineering |
| ISBN | : 1466658371 |
Fast advances in information technology have led to a smarter world vision with ubiquitous interconnection and intelligence. Smart Manufacturing Innovation and Transformation: Interconnection and Intelligence covers both theoretical perspectives and practical approaches to smart manufacturing research and development triggered by ubiquitous interconnection and intelligence. This reference work discusses the transformation of manufacturing, the latest developments in smart manufacturing innovation, current and emerging technology opportunities, and market imperatives that enable manufacturing innovation and transformation, useful tools for readers in industry, academia, and government.
| Author | : Eyke Hüllermeier |
| Publisher | : Springer |
| Total Pages | : 786 |
| Release | : 2010-06-30 |
| Genre | : Computers |
| ISBN | : 3642140491 |
The book constitutes the refereed proceedings of the 13th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2010, held in Dortmund, Germany from June 28 - July 2, 2010. The 77 revised full papers were carefully reviewed and selected from 320 submissions and reflect the richness of research in the field of Computational Intelligence and represent developments on topics as: machine learning, data mining, pattern recognition, uncertainty handling, aggregation and fusion of information as well as logic and knowledge processing.
| Author | : F. Allan Hanson |
| Publisher | : State University of New York Press |
| Total Pages | : 204 |
| Release | : 2012-02-01 |
| Genre | : Social Science |
| ISBN | : 0791480445 |
2007 CHOICE Outstanding Academic Title In this highly original book, anthropologist F. Allan Hanson reveals an entirely unanticipated but vital link between two of the most widely discussed features of contemporary American society: the computer revolution and the culture wars. Hanson argues that the culture wars stem from a divergence in the evolutionary paths of society and culture. Societies have evolved significantly over the last few millennia from small bands of farmers or hunter-gatherers into huge, internally diverse nation-states, while cultures—the closed systems of meanings and symbols that kept small, face-to-face societies together—have failed to keep pace. If cultures became more open, Hanson contends, then the maladaptive rupture between society and culture would be healed and the clashes that currently beset us would be greatly diminished. Interweaving lucid analysis with concrete case studies of common law, education, and other areas of contemporary life, Hanson demonstrates how the widespread use of computers is, in fact, encouraging more originality and open-mindedness, with the potential to ease polarization and calm the culture wars.
| Author | : Leszek Rutkowski |
| Publisher | : Springer |
| Total Pages | : 728 |
| Release | : 2019-05-27 |
| Genre | : Computers |
| ISBN | : 3030209156 |
The two-volume set LNCS 11508 and 11509 constitutes the refereed proceedings of of the 18th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2019, held in Zakopane, Poland, in June 2019. The 122 revised full papers presented were carefully reviewed and selected from 333 submissions. The papers included in the first volume are organized in the following five parts: neural networks and their applications; fuzzy systems and their applications; evolutionary algorithms and their applications; pattern classification; artificial intelligence in modeling and simulation. The papers included in the second volume are organized in the following five parts: computer vision, image and speech analysis; bioinformatics, biometrics, and medical applications; data mining; various problems of artificial intelligence; agent systems, robotics and control.
