This book constitutes the refereed proceedings of the 9th International Workshop on Structural and Syntctic Pattern Recognition, SSPR 2002 and the 4th International Workshop on Statistical Techniques in Pattern Recognition, SPR 2002 held jointly in Windsor, Ontario, Canada in August 2002. The 45 revised full papers and 35 poster papers presented together with three invited papers were carefully reviewed and selected from 116 submissions. The papers are organized in topical sections on graphs, grammars, and languages; graphs, strings, and grammars; documents and OCR; image shape analysis and application; density estimation and distribution models; multi classifiers and fusion; feature extraction and selection; general methodology; and image shape analysis and application.
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First Sentence:
There are two approaches to 3-D object recognition. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
median string, expert object recognition, prototype reduction schemes, lower zone characters, exemplar subsystem, transported surface normals, sample input sentences, cue detectors, non relevant images, graph edit operations, graphics recognition algorithm, using feature subsets, irradiance cone, attributed graph matching, new matching algorithm, pairwise pixel interactions, shared perimeter, sequential forward floating selection, human visual attention, shock graphs, degenerated modes, contoured images, shock trees, graph edit distance, generalized median Key Phrases - Capitalized Phrases (CAPs): (learn more)
Computer Science, Springer-Verlag Berlin Heidelberg, Machine Intell, Neural Computation, John Wiley, Artificial Intelligence, International Workshop, University of Technology, Academic Press, Naive Bayes, Pattern Anal, Computer Society Press, Monte Carlo, Cambridge University Press, Morgan Kaufmann, Springer Verlag, Los Alamitos, Oxford University Press, Behaviour Knowledge Space, Prentice Hall, South Africa, Gaussian Markov, Journal of the Royal Statistical Society, Semantic Frame Table, United Kingdom New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
There are two approaches to 3-D object recognition. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
median string, expert object recognition, prototype reduction schemes, lower zone characters, exemplar subsystem, transported surface normals, sample input sentences, cue detectors, non relevant images, graph edit operations, graphics recognition algorithm, using feature subsets, irradiance cone, attributed graph matching, new matching algorithm, pairwise pixel interactions, shared perimeter, sequential forward floating selection, human visual attention, shock graphs, degenerated modes, contoured images, shock trees, graph edit distance, generalized median Key Phrases - Capitalized Phrases (CAPs): (learn more)
Computer Science, Springer-Verlag Berlin Heidelberg, Machine Intell, Neural Computation, John Wiley, Artificial Intelligence, International Workshop, University of Technology, Academic Press, Naive Bayes, Pattern Anal, Computer Society Press, Monte Carlo, Cambridge University Press, Morgan Kaufmann, Springer Verlag, Los Alamitos, Oxford University Press, Behaviour Knowledge Space, Prentice Hall, South Africa, Gaussian Markov, Journal of the Royal Statistical Society, Semantic Frame Table, United Kingdom New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 100
books:
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- Pattern Classification (2nd Edition) by Richard O. Duda on 17 pages
- Pattern Classification and Scene Analysis by Richard O. Duda on 5 pages
- Numerical Recipes: The Art of Scientific Computing by William H. Press on 4 pages
- Spectral Graph Theory (CBMS Regional Conference Series in Mathematics, No. 92) by Fan R. K. Chung on page 45, page 92, and page 112
- Pattern Recognition, Third Edition by Sergios Theodoridis on page 698, page 733, and page 742
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