Soft computing approach pattern di ray kumar (29 risultati)

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    • Lingua: Inglese

      Editore: Springer, 2014

      1489990100 / 9781489990105

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      Condizione: New. pp. 188.

    • Lingua: Inglese

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      Paperback. Condizione: Brand New. 188 pages. 9.25x6.10x0.43 inches. In Stock.

    • Lingua: Inglese

      Editore: Springer Verlag, 2012

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    • Lingua: Inglese

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      Taschenbuch. Condizione: Neu. Soft Computing Approach to Pattern Classification and Object Recognition | A Unified Concept | Kumar S. Ray | Taschenbuch | xii | Englisch | 2014 | Springer | EAN 9781489990105 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

    • Lingua: Inglese

      Editore: Springer, Springer, 2014

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      Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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      Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 classificationand computer vision. Other academics and practitioners will also find the book valuable.

    • Lingua: Inglese

      Editore: Springer, Springer, 2012

      146145347X / 9781461453475

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      Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 classificationand computer vision. Other academics and practitioners will also find the book valuable.

    • Lingua: Inglese

      Editore: Springer New York, 2012

      146145347X / 9781461453475

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      Condizione: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | 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.

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      Editore: Springer, 2012

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      Condizione: new. Questo è un articolo print on demand.

    • Lingua: Inglese

      Editore: Springer New York Nov 2014, 2014

      1489990100 / 9781489990105

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      Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 classificationand computer vision. Other academics and practitioners will also find the book valuable. 188 pp. Englisch.

    • Lingua: Inglese

      Editore: Springer New York Okt 2012, 2012

      146145347X / 9781461453475

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      Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 classificationand computer vision. Other academics and practitioners will also find the book valuable. 188 pp. Englisch.

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      Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. -Outlines a unified approach to supervised pattern classification and model-based occluded object recognition -Presents an innovative, new interpretation of multidimensional fuzzy implication (MFI) and fuzzy pattern vector (FPV) -Provides a.

    • Lingua: Inglese

      Editore: Springer New York, 2014

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      Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. -Outlines a unified approach to supervised pattern classification and model-based occluded object recognition -Presents an innovative, new interpretation of multidimensional fuzzy implication (MFI) and fuzzy pattern vector (FPV) -Provides a.

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      Editore: Springer, 2014

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      Condizione: New. Print on Demand pp. 188.

    • Lingua: Inglese

      Editore: Springer, 2012

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      Condizione: New. Print on Demand pp. 188 46 Illus.

    • Lingua: Inglese

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      Condizione: New. PRINT ON DEMAND pp. 188.

    • Lingua: Inglese

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      Condizione: New. PRINT ON DEMAND pp. 188.

    • Lingua: Inglese

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      Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 classificationand computer vision. Other academics and practitioners will also find the book valuable.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 188 pp. Englisch.

    • Lingua: Inglese

      Editore: Springer, Springer Nov 2014, 2014

      1489990100 / 9781489990105

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      Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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      Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 classificationand computer vision. Other academics and practitioners will also find the book valuable.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 188 pp. Englisch.