This book constitutes the refereed proceedings of the 4th International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2003, held in Lisbon, Portugal in July 2003. The 33 revised full papers presented were carefully reviewed and selected from 66 submissions. The papers are organized in topical sections on unsupervised learning and matching, probabilistic modeling, segmentation and grouping, shape modeling, restoration and reconstruction, and graphs and graph-based methods.
Energy Minimization Methods in Computer Vision and Patter...
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strip line detection, curvature consistency algorithm, graylevel statistics, grey level cooccurrences, flux maximizing flow, edit lattice, sparse filters, ground truth surface, using graph cuts, strict local solution, voxel occupancy, sparseness measure, diffusion tensor field, sampling law, class label information, training texture, contextual neighborhood, graph edit distance, spectral feature vectors, gradient vector flow, proposed unified model, multiresolution strategy, active hypotheses, prior shape, watershed algorithm Key Phrases - Capitalized Phrases (CAPs): (learn more)
Springer-Verlag Berlin Heidelberg, New York, International Conference, Pattern Anal, Academic Press, John Wiley, Prentice Hall, Neural Computation, Artificial Intelligence, Characterization of Algorithms, Springer Verlag, Florida State University, Neural Information Processing Systems, Comb Matching, Englewood Cliffs, Journal of the Royal Statistical Society, Minimizing Description Length, Cambridge University Press, Elements of Information Theory, Estimation Algorithm Using, K-Means Accuracy Watershed Accuracy, Rovisco Pais, Statistical Science, Threshold Collage, Visual Reconstruction New!
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strip line detection, curvature consistency algorithm, graylevel statistics, grey level cooccurrences, flux maximizing flow, edit lattice, sparse filters, ground truth surface, using graph cuts, strict local solution, voxel occupancy, sparseness measure, diffusion tensor field, sampling law, class label information, training texture, contextual neighborhood, graph edit distance, spectral feature vectors, gradient vector flow, proposed unified model, multiresolution strategy, active hypotheses, prior shape, watershed algorithm Key Phrases - Capitalized Phrases (CAPs): (learn more)
Springer-Verlag Berlin Heidelberg, New York, International Conference, Pattern Anal, Academic Press, John Wiley, Prentice Hall, Neural Computation, Artificial Intelligence, Characterization of Algorithms, Springer Verlag, Florida State University, Neural Information Processing Systems, Comb Matching, Englewood Cliffs, Journal of the Royal Statistical Society, Minimizing Description Length, Cambridge University Press, Elements of Information Theory, Estimation Algorithm Using, K-Means Accuracy Watershed Accuracy, Rovisco Pais, Statistical Science, Threshold Collage, Visual Reconstruction New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
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