LEADER 07700nam 22007695 450 001 9910349414403321 005 20200705004656.0 010 $a3-319-97785-7 024 7 $a10.1007/978-3-319-97785-0 035 $a(CKB)4100000005679254 035 $a(DE-He213)978-3-319-97785-0 035 $a(MiAaPQ)EBC6300796 035 $a(PPN)229916031 035 $a(EXLCZ)994100000005679254 100 $a20180801d2018 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aStructural, Syntactic, and Statistical Pattern Recognition $eJoint IAPR International Workshop, S+SSPR 2018, Beijing, China, August 17?19, 2018, Proceedings /$fedited by Xiao Bai, Edwin R. Hancock, Tin Kam Ho, Richard C. Wilson, Battista Biggio, Antonio Robles-Kelly 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (XIII, 524 p. 134 illus.) 225 1 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v11004 311 $a3-319-97784-9 327 $aClassification and Clustering -- Image annotation using a semantic hierarchy -- Malignant Brain Tumor Classification using the Random Forest Method -- Rotationally Invariant Bark Recognition -- Dynamic voting in multi-view learning for radiomics applications -- Iterative Deep Subspace Clustering -- A scalable spectral clustering algorithm based on landmark-embedding and cosine similarity -- Deep Learning and Neural Networks -- On Fast Sample Preselection for Speeding up Convolutional Neural Network Training -- UAV First View Landmark Localization via Deep Reinforcement Learning -- Context Free Band Reduction Using a Convolutional Neural Network -- Local Patterns and Supergraph for Chemical Graph Classification with Convolutional Networks -- Learning Deep Embeddings via Margin-based Discriminate Loss -- Dissimilarity Representations and Gaussian Processes -- Protein Remote Homology Detection using Dissimilarity-based Multiple Instance Learning -- Local Binary Patterns based on Subspace Representation of Image Patch for Face Recognition -- An image-based representation for graph classification -- Visual Tracking via Patch-based Absorbing Markov Chain -- Gradient Descent for Gaussian Processes Variance Reduction -- Semi and Fully Supervised Learning Methods -- Sparsification of Indefinite Learning Models -- Semi-supervised Clustering Framework Based on Active Learning for Real Data -- Supervised Classification Using Feature Space Partitioning -- Deep Homography Estimation with Pairwise Invertibility Constraint -- Spatio-temporal Pattern Recognition and Shape Analysis -- Graph Time Series Analysis using Transfer Entropy -- Analyzing Time Series from Chinese Financial Market Using A Linear-Time Graph Kernel -- A Preliminary Survey of Analyzing Dynamic Time-varying Financial Networks Using Graph Kernels -- Few-Example Affine Invariant Ear Detection in the Wild -- Line Voronoi Diagram using Elliptical Distances -- Structural Matching -- Modelling the Generalised Median Correspondence through an Edit Distance -- Learning the Graph Edit Distance edit costs based on an embedded model -- Ring Based Approximation of Graph Edit Distance -- Graph Edit Distance in the exact context -- The VF3-Light Subgraph Isomorphism Algorithm: when doing less is more effective -- A Deep Neural Network Architecture to Estimate Node Assignment Costs for the Graph Edit Distance -- Error-Tolerant Geometric Graph Similarity -- Learning Cost Functions for Graph Matching -- Multimedia Analysis and Understanding -- Matrix Regression-based Classification for Face Recognition -- Plenoptic Imaging for Seeing Through Turbulence -- Weighted Local Mutual Information for 2D-3D Registration in Vascular Interventions -- Cross-model Retrieval with Reconstruct Hashing -- Deep Supervised Hashing with Information Loss -- Single Image Super Resolution via Neighbor Reconstruction -- An Efficient Method for Boundary Detection from Hyperspectral Imagery -- Graph-Theoretic Methods -- Bags of Graphs for Human Action Recognition -- Categorization of RNA Molecules using Graph Methods -- Quantum Edge Entropy for Alzheimer's Disease Analysis -- Approximating GED using a Stochastic Generator and Multistart IPFP -- Offline Signature Verification by Combining Graph Edit Distance and Triplet Networks -- On Association Graph Techniques for Hypergraph Matching -- Directed Network Analysis using Transfer Entropy Component Analysis -- A Mixed Entropy Local-Global Reproducing Kernel for Attributed Graphs -- Dirichlet Densifiers: Beyond Constraining the Spectral Gap. 330 $aThis book constitutes the proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition, S+SSPR 2018, held in Beijing, China, in August 2018. The 49 papers presented in this volume were carefully reviewed and selected from 75 submissions. They were organized in topical sections named: classification and clustering; deep learning and neurla networks; dissimilarity representations and Gaussian processes; semi and fully supervised learning methods; spatio-temporal pattern recognition and shape analysis; structural matching; multimedia analysis and understanding; and graph-theoretic methods. . 410 0$aImage Processing, Computer Vision, Pattern Recognition, and Graphics ;$v11004 606 $aArtificial intelligence 606 $aPattern recognition 606 $aOptical data processing 606 $aAlgorithms 606 $aComputer science?Mathematics 606 $aData structures (Computer science) 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 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aAlgorithm Analysis and Problem Complexity$3https://scigraph.springernature.com/ontologies/product-market-codes/I16021 606 $aDiscrete Mathematics in Computer Science$3https://scigraph.springernature.com/ontologies/product-market-codes/I17028 606 $aData Structures$3https://scigraph.springernature.com/ontologies/product-market-codes/I15017 615 0$aArtificial intelligence. 615 0$aPattern recognition. 615 0$aOptical data processing. 615 0$aAlgorithms. 615 0$aComputer science?Mathematics. 615 0$aData structures (Computer science). 615 14$aArtificial Intelligence. 615 24$aPattern Recognition. 615 24$aImage Processing and Computer Vision. 615 24$aAlgorithm Analysis and Problem Complexity. 615 24$aDiscrete Mathematics in Computer Science. 615 24$aData Structures. 676 $a006.4 702 $aBai$b Xiao$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aHancock$b Edwin R$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aHo$b Tin Kam$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aWilson$b Richard C$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aBiggio$b Battista$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aRobles-Kelly$b Antonio$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910349414403321 996 $aStructural, Syntactic, and Statistical Pattern Recognition$9772717 997 $aUNINA