Pisharady pramod kumar (27 resultados)
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Serie: Studies in Computational Intelligence, Libro 83 de 538. Libro 83 de 538 - Studies in Computational Intelligence
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Editorial: Springer 2016
Serie: Studies in Computational Intelligence, Libro 83 de 538. Libro 83 de 538 - Studies in Computational Intelligence
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Editorial: Springer-Verlag New York Inc 2014
Serie: Studies in Computational Intelligence, Libro 83 de 538. Libro 83 de 538 - Studies in Computational Intelligence
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Idioma: Inglés
Editorial: Springer 2016
Serie: Studies in Computational Intelligence, Libro 83 de 538. Libro 83 de 538 - Studies in Computational Intelligence
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Taschenbuch. Condición: Neu. Computational Intelligence in Multi-Feature Visual Pattern Recognition | Hand Posture and Face Recognition using Biologically Inspired Approaches | Pramod Kumar Pisharady (u. a.) | Taschenbuch | xiii | Englisch | 2016 | Springer | EAN 9789811011719 | Verantwortliche Person für die EU: Springer Verlag… GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Idioma: Inglés
Editorial: Springer Nature Singapore, Springer Nature Singapore 2014
Serie: Studies in Computational Intelligence, Libro 83 de 538. Libro 83 de 538 - Studies in Computational Intelligence
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents a collection of computational intelligence algorithms that addresses issues in visual pattern recognition such as high computational complexity, abundance of pattern features, sensitivity to size and shape variations and poor performanc…e against complex backgrounds. The book has 3 parts. Part 1 describes various research issues in the field with a survey of the related literature. Part 2 presents computational intelligence based algorithms for feature selection and classification. The algorithms are discriminative and fast. The main application area considered is hand posture recognition. The book also discusses utility of these algorithms in other visual as well as non-visual pattern recognition tasks including face recognition, general object recognition and cancer / tumor classification. Part 3 presents biologically inspired algorithms for feature extraction. The visual cortex model based features discussed have invariance with respect to appearance and size of the hand, and provide good inter class discrimination. A Bayesian model of visual attention is described which is effective in handling complex background problem in hand posture recognition.The book provides qualitative and quantitative performance comparisons for the algorithms outlined, with other standard methods in machine learning and computer vision. The book is self-contained with several figures, charts, tables and equations helping the reader to understand the material presented without instruction.
Idioma: Inglés
Editorial: Springer, Springer Nature Singapore 2016
Serie: Studies in Computational Intelligence, Libro 83 de 538. Libro 83 de 538 - Studies in Computational Intelligence
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents a collection of computational intelligence algorithms that addresses issues in visual pattern recognition such as high computational complexity, abundance of pattern features, sensitivity to size and shape variations and poor per…formance against complex backgrounds. The book has 3 parts. Part 1 describes various research issues in the field with a survey of the related literature. Part 2 presents computational intelligence based algorithms for feature selection and classification. The algorithms are discriminative and fast. The main application area considered is hand posture recognition. The book also discusses utility of these algorithms in other visual as well as non-visual pattern recognition tasks including face recognition, general object recognition and cancer / tumor classification. Part 3 presents biologically inspired algorithms for feature extraction. The visual cortex model based features discussed have invariance with respect to appearance and size of the hand, and provide good inter class discrimination. A Bayesian model of visual attention is described which is effective in handling complex background problem in hand posture recognition.The book provides qualitative and quantitative performance comparisons for the algorithms outlined, with other standard methods in machine learning and computer vision. The book is self-contained with several figures, charts, tables and equations helping the reader to understand the material presented without instruction.
Idioma: Inglés
Editorial: Springer 2014
Serie: Studies in Computational Intelligence, Libro 83 de 538. Libro 83 de 538 - Studies in Computational Intelligence
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Hardcover. Condición: Like New. Like New. book.
Idioma: Inglés
Editorial: Springer Nature Singapore 2014
Serie: Studies in Computational Intelligence, Libro 83 de 538. Libro 83 de 538 - Studies in Computational Intelligence
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Condición: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | This book presents a collection of computational intelligence algorithms that addresses issues in visual pattern recognition such as high computational complexity, abundance of pattern features, sensitivity to size and shape variations and poor per…formance against complex backgrounds. The book has 3 parts. Part 1 describes various research issues in the field with a survey of the related literature. Part 2 presents computational intelligence based algorithms for feature selection and classification. The algorithms are discriminative and fast. The main application area considered is hand posture recognition. The book also discusses utility of these algorithms in other visual as well as non-visual pattern recognition tasks including face recognition, general object recognition and cancer / tumor classification. Part 3 presents biologically inspired algorithms for feature extraction. The visual cortex model based features discussed have invariance with respect to appearance and size of the hand, and provide good inter class discrimination. A Bayesian model of visual attention is described which is effective in handling complex background problem in hand posture recognition.The book provides qualitative and quantitative performance comparisons for the algorithms outlined, with other standard methods in machine learning and computer vision. The book is self-contained with several figures, charts, tables and equations helping the reader to understand the material presented without instruction.
Idioma: Inglés
Editorial: Springer 2014
Serie: Studies in Computational Intelligence, Libro 83 de 538. Libro 83 de 538 - Studies in Computational Intelligence
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Idioma: Inglés
Editorial: Springer 2016
Serie: Studies in Computational Intelligence, Libro 83 de 538. Libro 83 de 538 - Studies in Computational Intelligence
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Serie: Studies in Computational Intelligence, Libro 83 de 538. Libro 83 de 538 - Studies in Computational Intelligence
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Paperback. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Editorial: Springer 2016
Serie: Studies in Computational Intelligence, Libro 83 de 538. Libro 83 de 538 - Studies in Computational Intelligence
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Editorial: Springer 2014
Serie: Studies in Computational Intelligence, Libro 83 de 538. Libro 83 de 538 - Studies in Computational Intelligence
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Condición: new. Questo è un articolo print on demand.
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Serie: Studies in Computational Intelligence, Libro 83 de 538. Libro 83 de 538 - Studies in Computational Intelligence
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Editorial: Springer Nature Singapore Jun 2014 2014
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents a collection of computational intelligence algorithms that addresses issues in visual pattern recognition such as high computational complexity, abundance of pattern features, sensitivity to size and shape variations and… poor performance against complex backgrounds. The book has 3 parts. Part 1 describes various research issues in the field with a survey of the related literature. Part 2 presents computational intelligence based algorithms for feature selection and classification. The algorithms are discriminative and fast. The main application area considered is hand posture recognition. The book also discusses utility of these algorithms in other visual as well as non-visual pattern recognition tasks including face recognition, general object recognition and cancer / tumor classification. Part 3 presents biologically inspired algorithms for feature extraction. The visual cortex model based features discussed have invariance with respect to appearance and size of the hand, and provide good inter class discrimination. A Bayesian model of visual attention is described which is effective in handling complex background problem in hand posture recognition.The book provides qualitative and quantitative performance comparisons for the algorithms outlined, with other standard methods in machine learning and computer vision. The book is self-contained with several figures, charts, tables and equations helping the reader to understand the material presented without instruction. 152 pp. Englisch.
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Editorial: Springer Nature Singapore Sep 2016 2016
Serie: Studies in Computational Intelligence, Libro 83 de 538. Libro 83 de 538 - Studies in Computational Intelligence
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents a collection of computational intelligence algorithms that addresses issues in visual pattern recognition such as high computational complexity, abundance of pattern features, sensitivity to size and shape variati…ons and poor performance against complex backgrounds. The book has 3 parts. Part 1 describes various research issues in the field with a survey of the related literature. Part 2 presents computational intelligence based algorithms for feature selection and classification. The algorithms are discriminative and fast. The main application area considered is hand posture recognition. The book also discusses utility of these algorithms in other visual as well as non-visual pattern recognition tasks including face recognition, general object recognition and cancer / tumor classification. Part 3 presents biologically inspired algorithms for feature extraction. The visual cortex model based features discussed have invariance with respect to appearance and size of the hand, and provide good inter class discrimination. A Bayesian model of visual attention is described which is effective in handling complex background problem in hand posture recognition.The book provides qualitative and quantitative performance comparisons for the algorithms outlined, with other standard methods in machine learning and computer vision. The book is self-contained with several figures, charts, tables and equations helping the reader to understand the material presented without instruction. 156 pp. Englisch.
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Editorial: Springer Singapore 2014
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Comprehensive coverage of various steps issues in visual pattern recognition for young researchers and studentsContains focused discussion on hand gesture recognition for experienced researchers and scientistsIncludes… algorithms that could .
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Editorial: Springer Singapore 2016
Serie: Studies in Computational Intelligence, Libro 83 de 538. Libro 83 de 538 - Studies in Computational Intelligence
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Comprehensive coverage of various steps issues in visual pattern recognition for young researchers and studentsContains focused discussion on hand gesture recognition for experienced researchers and scientistsIncludes… algorithms that could .
Idioma: Inglés
Editorial: Springer 2016
Serie: Studies in Computational Intelligence, Libro 83 de 538. Libro 83 de 538 - Studies in Computational Intelligence
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Condición: New. PRINT ON DEMAND pp. 138.
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Condición: New. Print on Demand pp. 138.
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents a collection of computational intelligence algorithms that addresses issues in visual pattern recognition such as high computational complexity, abundance of pattern features, sensitivity to size and shape variations…and poor performance against complex backgrounds. The book has 3 parts. Part 1 describes various research issues in the field with a survey of the related literature. Part 2 presents computational intelligence based algorithms for feature selection and classification. The algorithms are discriminative and fast. The main application area considered is hand posture recognition. The book also discusses utility of these algorithms in other visual as well as non-visual pattern recognition tasks including face recognition, general object recognition and cancer / tumor classification. Part 3 presents biologically inspired algorithms for feature extraction. The visual cortex model based features discussed have invariance with respect to appearance and size of the hand, and provide good inter class discrimination. A Bayesian model of visual attention is described which is effective in handling complex background problem in hand posture recognition.The book provides qualitative and quantitative performance comparisons for the algorithms outlined, with other standard methods in machine learning and computer vision. The book is self-contained with several figures, charts, tables and equations helping the reader to understand the material presented without instruction.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 156 pp. Englisch.
Idioma: Inglés
Editorial: Springer, Springer Nature Singapore Jun 2014 2014
Serie: Studies in Computational Intelligence, Libro 83 de 538. Libro 83 de 538 - Studies in Computational Intelligence
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
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EUR 106,99
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Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents a collection of computational intelligence algorithms that addresses issues in visual pattern recognition such as high computational complexity, abundance of pattern features, sensitivity to size and shape variations and poo…r performance against complex backgrounds. The book has 3 parts. Part 1 describes various research issues in the field with a survey of the related literature. Part 2 presents computational intelligence based algorithms for feature selection and classification. The algorithms are discriminative and fast. The main application area considered is hand posture recognition. The book also discusses utility of these algorithms in other visual as well as non-visual pattern recognition tasks including face recognition, general object recognition and cancer / tumor classification. Part 3 presents biologically inspired algorithms for feature extraction. The visual cortex model based features discussed have invariance with respect to appearance and size of the hand, and provide good inter class discrimination. A Bayesian model of visual attention is described which is effective in handling complex background problem in hand posture recognition.The book provides qualitative and quantitative performance comparisons for the algorithms outlined, with other standard methods in machine learning and computer vision. The book is self-contained with several figures, charts, tables and equations helping the reader to understand the material presented without instruction.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 152 pp. Englisch.
