9781848823112 - statistical learning and pattern analysis for image and video processing (advances in computer vision and pattern recognition) von zheng, nanning; xue, jianru (6 Ergebnisse)
Sprache: Englisch
Verlag: London, Springer London, 2009
Serie: Advances in Computer Vision and Pattern Recognition, Buch 9 von 86. Buch 9 von 86 - Advances in Computer Vision and Pattern Recognition
- Hardcover
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Hardcover. 1. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. Ex-library with stamp and library-signature. GOOD condition, some traces of use. 9781848823112 Sprache: Englisch Gewicht in Gramm: 550.
Sprache: Englisch
Verlag: Springer, 2010
Serie: Advances in Computer Vision and Pattern Recognition, Buch 9 von 86. Buch 9 von 86 - Advances in Computer Vision and Pattern Recognition
- Hardcover
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Zustand: New. In.
Sprache: Englisch
Verlag: Springer London, 2010
Serie: Advances in Computer Vision and Pattern Recognition, Buch 9 von 86. Buch 9 von 86 - Advances in Computer Vision and Pattern Recognition
- Hardcover
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Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 384 | Sprache: Englisch | Produktart: Bücher | Why are We Writing This Book? Visual data (graphical, image, video, and visualized data) affect every aspect of modern society. The cheap collection, storage, and transmission of vast amounts of visual data have revolutionized the pract…ice of science, technology, and business. Innovations from various disciplines have been developed and applied to the task of designing intelligent machines that can automatically detect and exploit useful regularities (patterns) in visual data. One such approach to machine intelligence is statistical learning and pattern analysis for visual data. Over the past two decades, rapid advances have been made throughout the ?eld of visual pattern analysis. Some fundamental problems, including perceptual gro- ing,imagesegmentation, stereomatching, objectdetectionandrecognition,and- tion analysis and visual tracking, have become hot research topics and test beds in multiple areas of specialization, including mathematics, neuron-biometry, and c- nition. A great diversity of models and algorithms stemming from these disciplines has been proposed. To address the issues of ill-posed problems and uncertainties in visual pattern modeling and computing, researchers have developed rich toolkits based on pattern analysis theory, harmonic analysis and partial differential eq- tions, geometry and group theory, graph matching, and graph grammars. Among these technologies involved in intelligent visual information processing, statistical learning and pattern analysis is undoubtedly the most popular and imp- tant approach, and it is also one of the most rapidly developing ?elds, with many achievements in recent years. Above all, it provides a unifying theoretical fra- work for intelligent visual information processing applications.
Sprache: Englisch
Verlag: Springer, 2010
Serie: Advances in Computer Vision and Pattern Recognition, Buch 9 von 86. Buch 9 von 86 - Advances in Computer Vision and Pattern Recognition
- Hardcover
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Zustand: New. pp. xvi + 366 102 Illus. (74 Col.).
Sprache: Englisch
Verlag: Springer London, Springer, 2010
Serie: Advances in Computer Vision and Pattern Recognition, Buch 9 von 86. Buch 9 von 86 - Advances in Computer Vision and Pattern Recognition
- Hardcover
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Why are We Writing This Book Visual data (graphical, image, video, and visualized data) affect every aspect of modern society. The cheap collection, storage, and transmission of vast amounts of visual data have revolutionized the practice of science, techno…logy, and business. Innovations from various disciplines have been developed and applied to the task of designing intelligent machines that can automatically detect and exploit useful regularities (patterns) in visual data. One such approach to machine intelligence is statistical learning and pattern analysis for visual data. Over the past two decades, rapid advances have been made throughout the eld of visual pattern analysis. Some fundamental problems, including perceptual gro- ing,imagesegmentation, stereomatching, objectdetectionandrecognition,and- tion analysis and visual tracking, have become hot research topics and test beds in multiple areas of specialization, including mathematics, neuron-biometry, and c- nition. A great diversity of models and algorithms stemming from these disciplines has been proposed. To address the issues of ill-posed problems and uncertainties in visual pattern modeling and computing, researchers have developed rich toolkits based on pattern analysis theory, harmonic analysis and partial differential eq- tions, geometry and group theory, graph matching, and graph grammars. Among these technologies involved in intelligent visual information processing, statistical learning and pattern analysis is undoubtedly the most popular and imp- tant approach, and it is also one of the most rapidly developing elds, with many achievements in recent years. Above all, it provides a unifying theoretical fra- work for intelligent visual information processing applications.
Sprache: Englisch
Verlag: Springer Verlag, 2009
Serie: Advances in Computer Vision and Pattern Recognition, Buch 9 von 86. Buch 9 von 86 - Advances in Computer Vision and Pattern Recognition
- Hardcover
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Hardcover. Zustand: Brand New. 1st edition. 356 pages. 9.10x6.20x1.20 inches. In Stock.
