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020 _a9783642391408
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024 7 _a10.1007/978-3-642-39140-8
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245 1 0 _aSimilarity-Based Pattern Recognition
_h[electronic resource] :
_bSecond International Workshop, SIMBAD 2013, York, UK, July 3-5, 2013, Proceedings /
_cedited by Edwin Hancock, Marcello Pelillo.
250 _a1st ed. 2013.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2013.
300 _aX, 297 p. 90 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
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490 1 _aImage Processing, Computer Vision, Pattern Recognition, and Graphics,
_x3004-9954 ;
_v7953
505 0 _aPattern 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.
520 _aThis 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.
650 0 _aPattern recognition systems.
_93953
650 0 _aComputer vision.
_9118150
650 0 _aArtificial intelligence.
_93407
650 0 _aDatabase management.
_93157
650 0 _aAlgorithms.
_93390
650 0 _aApplication software.
_9118151
650 1 4 _aAutomated Pattern Recognition.
_931568
650 2 4 _aComputer Vision.
_9118152
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aDatabase Management.
_93157
650 2 4 _aAlgorithms.
_93390
650 2 4 _aComputer and Information Systems Applications.
_9118153
700 1 _aHancock, Edwin.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9118154
700 1 _aPelillo, Marcello.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_977318
710 2 _aSpringerLink (Online service)
_9118155
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783642391392
776 0 8 _iPrinted edition:
_z9783642391415
830 0 _aImage Processing, Computer Vision, Pattern Recognition, and Graphics,
_x3004-9954 ;
_v7953
_9118156
856 4 0 _uhttps://doi.org/10.1007/978-3-642-39140-8
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