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Similarity-Based Pattern Recognition: Second International Workshop, SIMBAD 2013, York, UK, July 3-5, 2013, Proceedings 2013 ed. [Pehme köide]

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  • Formaat: Paperback / softback, 297 pages, kõrgus x laius: 235x155 mm, kaal: 474 g, 90 Illustrations, black and white; X, 297 p. 90 illus., 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 7953
  • Ilmumisaeg: 19-Jul-2013
  • Kirjastus: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3642391397
  • ISBN-13: 9783642391392
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  • Formaat: Paperback / softback, 297 pages, kõrgus x laius: 235x155 mm, kaal: 474 g, 90 Illustrations, black and white; X, 297 p. 90 illus., 1 Paperback / softback
  • Sari: Lecture Notes in Computer Science 7953
  • Ilmumisaeg: 19-Jul-2013
  • Kirjastus: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3642391397
  • ISBN-13: 9783642391392
This book constitutes the proceedings of the Second International Workshop on Similarity Based Pattern Analysis and Recognition, SIMBAD 2013, which was held in York, UK, in July 2013. The 18 papers presented were carefully reviewed and selected from 33 submissions. They cover a wide range of problems and perspectives, from supervised to unsupervised learning, from generative to discriminative models, from theoretical issues to real-world practical applications, and offer a timely picture of the state of the art in the field.
Pattern Learning and Recognition on Statistical Manifolds: An
Information-Geometric Review.- Dimension Reduction Methods for Image Pattern
Recognition.- Efficient Regression in Metric Spaces via Approximate Lipschitz
Extension.- Data Analysis of (Non-)Metric Proximities at Linear Costs.- On
the Informativeness of Asymmetric Dissimilarities.- Information-Theoretic
Dissimilarities for Graphs.- Information Theoretic Pairwise Clustering.-
Correlation Clustering with Stochastic Labellings.- Break and Conquer:
Efficient Correlation Clustering for Image Segmentation.- Multi-task
Averaging via Task Clustering.- Modeling and Detecting Community
Hierarchies.- Graph Characterization Using Gaussian Wave Packet Signature.-
Analysis of the Schrödinger Operator in the Context of Graph
Characterization.- Attributed Graph Similarity from the Quantum
Jensen-Shannon Divergence.- Entropy and Heterogeneity Measures for Directed
Graphs.- Fast Learning of Gamma Mixture Models with k-MLE.- Exploiting
Geometry in Counting Grids.- On the Dissimilarity Representation and
Prototype Selection for Signature-Based Bio-cryptographic Systems.- A
Repeated Local Search Algorithm for BiClustering of Gene Expression Data.