LEADER 07742nam 22008655 450 001 996198258303316 005 20200630202741.0 010 $a3-662-44415-1 024 7 $a10.1007/978-3-662-44415-3 035 $a(CKB)3710000000219537 035 $a(SSID)ssj0001338865 035 $a(PQKBManifestationID)11796897 035 $a(PQKBTitleCode)TC0001338865 035 $a(PQKBWorkID)11349677 035 $a(PQKB)10270826 035 $a(DE-He213)978-3-662-44415-3 035 $a(MiAaPQ)EBC6285320 035 $a(MiAaPQ)EBC5578249 035 $a(Au-PeEL)EBL5578249 035 $a(OCoLC)889232069 035 $a(PPN)180625993 035 $a(EXLCZ)993710000000219537 100 $a20140813d2014 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aStructural, Syntactic, and Statistical Pattern Recognition$b[electronic resource] $eJoint IAPR International Workshop, S+SSPR 2014, Joensuu, Finland, August 20-22, 2014, Proceedings /$fedited by Pasi Fränti, Gavin Brown, Marco Loog, Francisco Escolano, Marcello Pelillo 205 $a1st ed. 2014. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2014. 215 $a1 online resource (XX, 478 p. 124 illus.) 225 1 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v8621 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-662-44414-3 327 $aGraph Kernels -- A Graph Kernel from the Depth-Based Representation -- Incorporating Molecule?s Stereoisomerism within the Machine Learning Framework -- Transitive State Alignment for the Quantum Jensen-Shannon Kernel -- Clustering -- Balanced K-Means for Clustering -- Poisoning Complete-Linkage Hierarchical Clustering -- A Comparison of Categorical Attribute Data Clustering Methods -- Graph Edit Distance -- Improving Approximate Graph Edit Distance Using Genetic Algorithms -- Approximate Graph Edit Distance Guided by Bipartite Matching of Bags of Walks -- A Hausdorff Heuristic for Efficient Computation of Graph Edit Distance -- Graph Models and Embedding -- Flip-Flop Sublinear Models for Graphs -- Node Centrality for Continuous-Time Quantum Walks -- Max-Correlation Embedding Computation -- Discriminant Analysis -- Fast Gradient Computation for Learning with Tensor Product Kernels and Sparse Training Labels -- Nonlinear Discriminant Analysis Based on Probability Estimation by Gaussian Mixture Model -- Combining and Selecting -- Information Theoretic Feature Selection in Multi-label Data through Composite Likelihood -- Majority Vote of Diverse Classifiers for Late Fusion -- Entropic Graph Embedding via Multivariate Degree Distributions -- On Parallel Lines in Noisy Forms -- Metrics and Dissimilarities -- Metric Learning in Dissimilarity Space for Improved Nearest Neighbor Performance -- Matching Similarity for Keyword-Based Clustering -- Applications -- Quantum vs Classical Ranking in Segment Grouping -- Remove Noise in Video with 3D Topological Maps -- Video Analysis of a Snooker Footage Based on a Kinematic Model -- Partial Supervision -- Evaluating Classification Performance with only Positive and Unlabeled Samples -- Who Is Missing? A New Pattern Recognition Puzzle -- Poster Session -- Edit Distance Computed by Fast Bipartite Graph Matching -- Statistical Method for Semantic Segmentation of Dominant Plane from Remote Exploration Image Sequence -- Analyses on Generalization Error of Ensemble Kernel Regressors -- Structural Human Shape Analysis for Modeling and Recognition -- On Cross-Validation for MLP Model Evaluation -- Weighted Mean Assignment of a Pair of Correspondences Using Optimisation Functions -- Chemical Symbol Feature Set for Handwritten Chemical Symbol Recognition -- About Combining Metric Learning and Prototype Generation -- Tracking System with Re-identification Using a RGB String Kernel -- Towards Scalable Prototype Selection by Genetic Algorithms with Fast Criteria -- IOWA Operators and Its Application to Image Retrieval -- On Optimum Thresholding of Multivariate Change Detectors -- Commute Time for a Gaussian Wave Packet on a Graph -- Properties of Object-Level Cross-Validation Schemes for Symmetric Pair-Input Data -- A Binary Factor Graph Model for Biclustering -- Improved BLSTM Neural Networks for Recognition of On-Line Bangla Complex Words -- A Ranking Part Model for Object Detection -- Regular Decomposition of Multivariate Time Series and Other Matrices -- Texture Synthesis: From Convolutional RBMs to Efficient Deterministic Algorithms -- Improved Object Matching Using Structural Relations -- Designing LDPC Codes for ECOC Classification Systems -- Unifying Probabilistic Linear Discriminant Analysis Variants in Biometric Authentication. 330 $aThis book constitutes the proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition, S+SSPR 2014; comprising the International Workshop on Structural and Syntactic Pattern Recognition, SSPR, and the International Workshop on Statistical Techniques in Pattern Recognition, SPR. The total of 25 full papers and 22 poster papers included in this book were carefully reviewed and selected from 78 submissions. They are organized in topical sections named: graph kernels; clustering; graph edit distance; graph models and embedding; discriminant analysis; combining and selecting; joint session; metrics and dissimilarities; applications; partial supervision; and poster session. 410 0$aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v8621 606 $aArtificial intelligence 606 $aPattern recognition 606 $aApplication software 606 $aDatabase management 606 $aAlgorithms 606 $aData mining 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 606 $aInformation Systems Applications (incl. Internet)$3https://scigraph.springernature.com/ontologies/product-market-codes/I18040 606 $aDatabase Management$3https://scigraph.springernature.com/ontologies/product-market-codes/I18024 606 $aAlgorithm Analysis and Problem Complexity$3https://scigraph.springernature.com/ontologies/product-market-codes/I16021 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 615 0$aArtificial intelligence. 615 0$aPattern recognition. 615 0$aApplication software. 615 0$aDatabase management. 615 0$aAlgorithms. 615 0$aData mining. 615 14$aArtificial Intelligence. 615 24$aPattern Recognition. 615 24$aInformation Systems Applications (incl. Internet). 615 24$aDatabase Management. 615 24$aAlgorithm Analysis and Problem Complexity. 615 24$aData Mining and Knowledge Discovery. 676 $a006.4 702 $aFränti$b Pasi$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aBrown$b Gavin$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLoog$b Marco$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aEscolano$b Francisco$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aPelillo$b Marcello$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996198258303316 996 $aStructural, Syntactic, and Statistical Pattern Recognition$9772717 997 $aUNISA