Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR International Workshop, S+SSPR 2018, Beijing, China, August 17–19, 2018, Proceedings

Description

This 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. Front Matter ....Pages I-XIII Front Matter ....Pages 1-1 Image Annotation Using a Semantic Hierarchy (Abdessalem Bouzaieni, Salvatore Tabbone)....Pages 3-13 Malignant Brain Tumor Classification Using the Random Forest Method (Lichi Zhang, Han Zhang, Islem Rekik, Yaozong Gao, Qian Wang, Dinggang Shen)....Pages 14-21 Rotationally Invariant Bark Recognition (Václav Remeš, Michal Haindl)....Pages 22-31 Dynamic Voting in Multi-view Learning for Radiomics Applications (Hongliu Cao, Simon Bernard, Laurent Heutte, Robert Sabourin)....Pages 32-41 Iterative Deep Subspace Clustering (Lei Zhou, Shuai Wang, Xiao Bai, Jun Zhou, Edwin Hancock)....Pages 42-51 A Scalable Spectral Clustering Algorithm Based on Landmark-Embedding and Cosine Similarity (Guangliang Chen)....Pages 52-62 Front Matter ....Pages 63-63 On Fast Sample Preselection for Speeding up Convolutional Neural Network Training (Frédéric Rayar, Seiichi Uchida)....Pages 65-75 UAV First View Landmark Localization via Deep Reinforcement Learning (Xinran Wang, Peng Ren, Leijian Yu, Lirong Han, Xiaogang Deng)....Pages 76-85 Context Free Band Reduction Using a Convolutional Neural Network (Ran Wei, Antonio Robles-Kelly, José Álvarez)....Pages 86-96 Local Patterns and Supergraph for Chemical Graph Classification with Convolutional Networks (Évariste Daller, Sébastien Bougleux, Luc Brun, Olivier Lézoray)....Pages 97-106 Learning Deep Embeddings via Margin-Based Discriminate Loss (Peng Sun, Wenzhong Tang, Xiao Bai)....Pages 107-115 Front Matter ....Pages 117-117 Protein Remote Homology Detection Using Dissimilarity-Based Multiple Instance Learning (Antonelli Mensi, Manuele Bicego, Pietro Lovato, Marco Loog, David M. J. Tax)....Pages 119-129 Local Binary Patterns Based on Subspace Representation of Image Patch for Face Recognition (Xin Zong)....Pages 130-139 An Image-Based Representation for Graph Classification (Frédéric Rayar, Seiichi Uchida)....Pages 140-149 Visual Tracking via Patch-Based Absorbing Markov Chain (Ziwei Xiong, Nan Zhao, Chenglong Li, Jin Tang)....Pages 150-159 Gradient Descent for Gaussian Processes Variance Reduction (Lorenzo Bottarelli, Marco Loog)....Pages 160-169 Front Matter ....Pages 171-171 Sparsification of Indefinite Learning Models (Frank-Michael Schleif, Christoph Raab, Peter Tino)....Pages 173-183 Semi-supervised Clustering Framework Based on Active Learning for Real Data (Ryosuke Odate, Hiroshi Shinjo, Yasufumi Suzuki, Masahiro Motobayashi)....Pages 184-193 Supervised Classification Using Feature Space Partitioning (Ventzeslav Valev, Nicola Yanev, Adam Krzyżak, Karima Ben Suliman)....Pages 194-203 Deep Homography Estimation with Pairwise Invertibility Constraint (Xiang Wang, Chen Wang, Xiao Bai, Yun Liu, Jun Zhou)....Pages 204-214 Front Matter ....Pages 215-215 Graph Time Series Analysis Using Transfer Entropy (Ibrahim Caglar, Edwin R. Hancock)....Pages 217-226 Analyzing Time Series from Chinese Financial Market Using a Linear-Time Graph Kernel (Yuhang Jiao, Lixin Cui, Lu Bai, Yue Wang)....Pages 227-236 A Preliminary Survey of Analyzing Dynamic Time-Varying Financial Networks Using Graph Kernels (Lixin Cui, Lu Bai, Luca Rossi, Zhihong Zhang, Yuhang Jiao, Edwin R. Hancock)....Pages 237-247 Few-Example Affine Invariant Ear Detection in the Wild (Jianming Liu, Yongsheng Gao, Yue Li)....Pages 248-257 Line Voronoi Diagrams Using Elliptical Distances (Aysylu Gabdulkhakova, Maximilian Langer, Bernhard W. Langer, Walter G. Kropatsch)....Pages 258-267 Front Matter ....Pages 269-269 Modelling the Generalised Median Correspondence Through an Edit Distance (Carlos Francisco Moreno-García, Francesc Serratosa)....Pages 271-281 Learning the Sub-optimal Graph Edit Distance Edit Costs Based on an Embedded Model (Pep Santacruz, Francesc Serratosa)....Pages 282-292 Ring Based Approximation of Graph Edit Distance (David B. Blumenthal, Sébastien Bougleux, Johann Gamper, Luc Brun)....Pages 293-303 Graph Edit Distance in the Exact Context (Mostafa Darwiche, Romain Raveaux, Donatello Conte, Vincent T’Kindt)....Pages 304-314 The VF3-Light Subgraph Isomorphism Algorithm: When Doing Less Is More Effective (Vincenzo Carletti, Pasquale Foggia, Antonio Greco, Alessia Saggese, Mario Vento)....Pages 315-325 A Deep Neural Network Architecture to Estimate Node Assignment Costs for the Graph Edit Distance (Xavier Cortés, Donatello Conte, Hubert Cardot, Francesc Serratosa)....Pages 326-336 Error-Tolerant Geometric Graph Similarity (Shri Prakash Dwivedi, Ravi Shankar Singh)....Pages 337-344 Learning Cost Functions for Graph Matching (Rafael de O. Werneck, Romain Raveaux, Salvatore Tabbone, Ricardo da S. Torres)....Pages 345-354 Front Matter ....Pages 355-355 Matrix Regression-Based Classification for Face Recognition (Jian-Xun Mi, Quanwei Zhu, Zhiheng Luo)....Pages 357-366 Plenoptic Imaging for Seeing Through Turbulence (Richard C. Wilson, Edwin R. Hancock)....Pages 367-375 Weighted Local Mutual Information for 2D-3D Registration in Vascular Interventions (Cai Meng, Qi Wang, Shaoya Guan, Yi Xie)....Pages 376-385 Cross-Model Retrieval with Reconstruct Hashing (Yun Liu, Cheng Yan, Xiao Bai, Jun Zhou)....Pages 386-394 Deep Supervised Hashing with Information Loss (Xueni Zhang, Lei Zhou, Xiao Bai, Edwin Hancock)....Pages 395-405 Single Image Super Resolution via Neighbor Reconstruction (Zhihong Zhang, Zhuobin Xu, Zhiling Ye, Yiqun Hu, Lixin Cui, Lu Bai)....Pages 406-415 An Efficient Method for Boundary Detection from Hyperspectral Imagery (Suhad Lateef Al-Khafaji, Jun Zhou, Alan Wee-Chung Liew)....Pages 416-426 Front Matter ....Pages 427-427 Bags of Graphs for Human Action Recognition (Xavier Cortés, Donatello Conte, Hubert Cardot)....Pages 429-438 Categorization of RNA Molecules Using Graph Methods (Richard C. Wilson, Enes Algul)....Pages 439-448 Quantum Edge Entropy for Alzheimer’s Disease Analysis (Jianjia Wang, Richard C. Wilson, Edwin R. Hancock)....Pages 449-459 Approximating GED Using a Stochastic Generator and Multistart IPFP (Nicolas Boria, Sébastien Bougleux, Luc Brun)....Pages 460-469 Offline Signature Verification by Combining Graph Edit Distance and Triplet Networks (Paul Maergner, Vinaychandran Pondenkandath, Michele Alberti, Marcus Liwicki, Kaspar Riesen, Rolf Ingold et al.)....Pages 470-480 On Association Graph Techniques for Hypergraph Matching (Giulia Sandi, Sebastiano Vascon, Marcello Pelillo)....Pages 481-490 Directed Network Analysis Using Transfer Entropy Component Analysis (Meihong Wu, Yangbin Zeng, Zhihong Zhang, Haiyun Hong, Zhuobin Xu, Lixin Cui et al.)....Pages 491-500 A Mixed Entropy Local-Global Reproducing Kernel for Attributed Graphs (Lixin Cui, Lu Bai, Luca Rossi, Zhihong Zhang, Lixiang Xu, Edwin R. Hancock)....Pages 501-511 Dirichlet Densifiers: Beyond Constraining the Spectral Gap (Manuel Curado, Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock)....Pages 512-521 Back Matter ....Pages 523-524