This book constitutes the refereed proceedings of the Second International Conference on Advances in Pattern Recognition, ICAPR 2001, held in Rio de Janeiro, Brazil in March 2001. The 40 revised full papers presented together with three invited papers and two tutorial presentations were carefully reviewed and selected for inclusion in the proceedings. The book is organized in topical sections on neural networks and computational intelligence, character recognition and document analysis, feature selection and analysis, pattern recognition and classification, image and signal processing applications, and image feature analysis and retrieval.
Advances in Pattern Recognition - ICAPR 2001
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Inside This Book
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First Sentence:
Graphs are a flexible and powerful data structure for the representation of objects and concepts. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
cylindrical panoramic images, minimum solution tree, combined feature set, floating search techniques, hypothesized axis, local image texture, class qubit, chrominance distribution, brachiation robot, criterion value decrease, quantum associative memory, combined invariants, image based localization, member classifiers, current node descendants, parameterized identically, quantum neural networks, zero phase representation, entire image collection, level building algorithm, planar homologies, chrominance spaces, fcc grid, planar homology, raw contour Key Phrases - Capitalized Phrases (CAPs): (learn more)
International Conference, New York, Czech Republic, John Wiley, Computer Society, Corpus Callosum, Van Gool, Associate Professor, Czech Technical University, Del Bimbo, Pattern Anal, University of Surrey, Helsinki University of Technology, Nagoya University, Prentice Hall, San Francisco, University of Bologna, University of Oulu, Academic Press, Computer Engineering, University of Bielefeld, University of Pennsylvania, Aachen University of Technology, Department of Electrical, Oakland University New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Graphs are a flexible and powerful data structure for the representation of objects and concepts. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
cylindrical panoramic images, minimum solution tree, combined feature set, floating search techniques, hypothesized axis, local image texture, class qubit, chrominance distribution, brachiation robot, criterion value decrease, quantum associative memory, combined invariants, image based localization, member classifiers, current node descendants, parameterized identically, quantum neural networks, zero phase representation, entire image collection, level building algorithm, planar homologies, chrominance spaces, fcc grid, planar homology, raw contour Key Phrases - Capitalized Phrases (CAPs): (learn more)
International Conference, New York, Czech Republic, John Wiley, Computer Society, Corpus Callosum, Van Gool, Associate Professor, Czech Technical University, Del Bimbo, Pattern Anal, University of Surrey, Helsinki University of Technology, Nagoya University, Prentice Hall, San Francisco, University of Bologna, University of Oulu, Academic Press, Computer Engineering, University of Bielefeld, University of Pennsylvania, Aachen University of Technology, Department of Electrical, Oakland University New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
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This book cites 74
books:
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- Image Processing (Medical Imaging 1998) by Kenneth M. Hanson on page 348, page 396, and page 424
- Systems Design by Isim University on page 176, page 463, and Back Matter
- Pattern Classification (2nd Edition) by Richard O. Duda on page 229, and page 376
- Document Image Analysis (Machine Perception and Artificial Intelligence) by H. Bunke on page 126, and Back Matter
- Fundamentals of Speech Recognition by Lawrence Rabiner on page 114, and page 289
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