Soft Computing Approach to Pattern Classification and Object Recognition : A Unified Concept / by Kumar S. Ray.

Format:

Book

Author/Creator:

Ray, Kumar S., author.

Contributor:

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Language:

English

Subjects (All):

Optical data processing.

Signal processing.

Image processing.

Speech processing systems.

Artificial intelligence.

Image Processing and Computer Vision.

Signal, Image and Speech Processing.

Artificial Intelligence.

Local Subjects:

Image Processing and Computer Vision.

Signal, Image and Speech Processing.

Artificial Intelligence.

Physical Description:

1 online resource (XII, 176 pages)

Edition:

First edition 2012.

Contained In:

Springer eBooks

Place of Publication:

New York, NY : Springer New York : Imprint: Springer, 2012.

System Details:

text file PDF

Summary:

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.

Contents:

Soft Computing Approach to Pattern Classification and Object Recognition

Pattern Classification Based on Conventional Interpretation of MFI

Pattern Classification Based on New Interpretation of MFI

Pattern Classification Based on New Interpretation of MFI and Floating Point Genetic Algorithm

Neuro-Genetic Approach To Pattern Classification Based on the New Interpretation of MFI

Knowledge-Based Occluded Object Recognition Based on New Interpretation of MFI and Floating Point Genetic Algorithm

Neuro-fuzzy Approach to Occluded Object Recognition Based on the New Interpretation of MFI.

Other Format:

Printed edition:

ISBN:

978-1-4614-5348-2

9781461453482

Access Restriction:

Restricted for use by site license.