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Soft Computing Approach to Pattern Classification and Object Recognition A Unified Concept /
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 algorith...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
New York, NY :
Springer New York : Imprint: Springer,
2012.
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| Edición: | 1st ed. 2012. |
| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
| LEADER | 00000nam a22000005i 4500 | ||
|---|---|---|---|
| 001 | 978-1-4614-5348-2 | ||
| 003 | DE-He213 | ||
| 005 | 20220118071238.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 121009s2012 xxu| s |||| 0|eng d | ||
| 020 | |a 9781461453482 |9 978-1-4614-5348-2 | ||
| 024 | 7 | |a 10.1007/978-1-4614-5348-2 |2 doi | |
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| 100 | 1 | |a Ray, Kumar S. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Soft Computing Approach to Pattern Classification and Object Recognition |h [electronic resource] : |b A Unified Concept / |c by Kumar S. Ray. |
| 250 | |a 1st ed. 2012. | ||
| 264 | 1 | |a New York, NY : |b Springer New York : |b Imprint: Springer, |c 2012. | |
| 300 | |a XII, 176 p. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 505 | 0 | |a 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. | |
| 520 | |a 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. | ||
| 650 | 0 | |a Computer vision. | |
| 650 | 0 | |a Signal processing. | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 1 | 4 | |a Computer Vision. |
| 650 | 2 | 4 | |a Signal, Speech and Image Processing . |
| 650 | 2 | 4 | |a Artificial Intelligence. |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9781461453499 |
| 776 | 0 | 8 | |i Printed edition: |z 9781489990105 |
| 776 | 0 | 8 | |i Printed edition: |z 9781461453475 |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/978-1-4614-5348-2 |z Texto Completo |
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| 950 | |a Computer Science (SpringerNature-11645) | ||
| 950 | |a Computer Science (R0) (SpringerNature-43710) | ||