Soft Computing Approach to Pattern Classification and Object Recognition: A Unified Concept - Image 1

£75.68

Springer Soft Computing Approach to Pattern Classification and Object Recognition: A Unified Concept

Name: Soft Computing Approach to Pattern Classification and Object Recognition: A Unified Concept
Brand: Springer
Price: 75.68 GBP
Availability: InStock

AI & Machine Learning

This is the most expensive it has ever been. Walk away.

£76 today · previous high £76 · all-time low £72

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 626 days • 626 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 626 days • 3 price levels

Days at Price

Current Price

Price Analysis

Most common price: £73 (319 days, 51.0%)

Price range: £73 - £75

Price levels: 3 different prices over 626 days

Description

Soft Computing Approach to Pattern Classification and Object Recognition establishes an innovative, unified approach to supervised pattern classification and model-based occluded object recognition. The book also surveys various soft computing tools, fuzzy relational calculus (FRC), genetic algorithm (GA) and multilayer perceptron (MLP) to provide a strong foundation for the reader. The supervised approach to pattern classification and model-based approach to occluded object recognition are treated in one framework , one based on either a conventional interpretation or a new interpretation of multidimensional fuzzy implication (MFI) and a novel notion of fuzzy pattern vector (FPV). By combining practice and theory, a completely independent design methodology was developed in conjunction with this supervised approach on a unified framework, and then tested thoroughly against both synthetic and real-life data. In the field of soft computing, such an application-oriented design study is unique in nature. The monograph essentially mimics the cognitive process of human decision making, and carries a message of perceptual integrity in representational diversity. Soft Computing Approach to Pattern Classification and Object Recognition is intended for researchers in the area of pattern classification and computer vision. Other academics and practitioners will also find the book valuable. Review From the reviews: “This book addresses the use of soft computing techniques for pattern recognition problems, starting with an interesting overview of how the conventional approach to pattern recognition differs from the soft computing approach. … The book achieves a well-balanced treatment of theory, mathematics, and applications. Each chapter has a good number of references, and … each includes interesting experimental results. … this book would be useful for research scholars and scientists working in the field of pattern recognition.” (S. Ramakrishnan, Computing Reviews, March, 2013) “The book presents the research work of the author regarding soft computing methods, such as fuzzy relational calculus, genetic algorithms and neural networks, for the tasks of pattern classification and occluded object recognition. … The entire methodology is thoroughly tested on real-world applications and addresses researchers in pattern classification and computer vision.” (Catalin Stoean, Zentralblatt MATH, Vol. 1260, 2013)

Product Specifications

Brand: Springer
Format: paperback
ASIN: 1489990100
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 09 November 2014
Listed Since: 05 November 2014

Barcode

No barcode data available

Springer Soft Computing Approach to Pattern Classification and Object Recognition: A Unified Concept

This is the most expensive it has ever been. Walk away.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Soft Computing Techniques in Engineering Applications: 543 (Studies in Computational Intelligence, 543)

Pattern Recognition Theory and Applications: Proceedings of the NATO Advanced Study Institute held at St. Anne’s College, Oxford, March 29–April 10, 1981: 81 (Nato Science Series C:)

Pattern Recognition Theory and Applications: Proceedings of the NATO Advanced Study Institute held at St. Anne’s College, Oxford, March 29–April 10, 1981: 81 (Nato Science Series C:, 81)

Recent Developments and New Direction in Soft-Computing Foundations and Applications: Selected Papers from the 4th World Conference on Soft Computing, ... in Fuzziness and Soft Computing, 342)

Hybrid Intelligent Systems: Analysis and Design: 208 (Studies in Fuzziness and Soft Computing, 208)

Computer Vision Methods for Fast Image Classiﬁcation and Retrieval: 821 (Studies in Computational Intelligence, 821)

Recent Advances in Intelligent Information Systems and Applied Mathematics: 863 (Studies in Computational Intelligence, 863)

Soft Computing Applications in Optimization, Control, and Recognition: 294 (Studies in Fuzziness and Soft Computing, 294)

Artificial Intelligence and Soft Computing: 20th International Conference, ICAISC 2021, Virtual Event, June 21–23, 2021, Proceedings, Part I: 12854 (Lecture Notes in Computer Science, 12854)

Computer Recognition Systems 4: 95 (Advances in Intelligent and Soft Computing, 95)

Recent Advances in Intelligent Information Systems and Applied Mathematics: 863 (Studies in Computational Intelligence, 863)

Recent Developments and the New Direction in Soft-Computing Foundations and Applications: Selected Papers from the 6th World Conference on Soft ... in ... Computing, May 22-25, 2016, Berkeley, USA

Artificial Intelligence and Soft Computing: 20th International Conference, ICAISC 2021, Virtual Event, June 21–23, 2021, Proceedings, Part II: 12855 (Lecture Notes in Computer Science, 12855)

Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications: 862 (Studies in Computational Intelligence, 862)

Advances in Computational Intelligence Systems: Contributions Presented at the 19th UK Workshop on Computational Intelligence, September 4-6, 2019, ... in Intelligent Systems and Computing, 1043)

Springer Modular Neural Networks and Type-2 Fuzzy Systems 389

Computer Vision – ECCV 2012: 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part II: 7573 (Lecture Notes in Computer Science, 7573)

Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications: 862 (Studies in Computational Intelligence, 862)

Computer Vision – ECCV 2012: 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012. Proceedings, Part IV: 7575 (Lecture Notes in Computer Science, 7575)

Scientific Methods for the Treatment of Uncertainty in Social Sciences: 377 (Advances in Intelligent Systems and Computing, 377)

Computer Vision – ECCV 2012: 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012. Proceedings, Part V: 7576 (Lecture Notes in Computer Science, 7576)

New Advances in Intelligent Signal Processing: 372 (Studies in Computational Intelligence, 372)

Digital Pattern Recognition: 10 (Communication and Cybernetics, 10)

Computational Intelligence and Intelligent Systems: 4th International Symposium on Intelligence Computation and Applications, ISICA 2009, Huangshi, ... in Computer and Information Science, 51)