Structural Syntactic and Statistical Pattern Recognition Joint IAPR International Workshop S SSPR 2018 Beijing China August 17 19 2018 Proceedings 1st Edition by Xiao Bai, Edwin R Hancock, Tin Kam Ho, Richard C Wilson, Battista Biggio, Antonio Robles-Kelly ISBN 3319977849 978-3319977843

Structural Syntactic and Statistical Pattern Recognition Joint IAPR International Workshop S SSPR 2018 Beijing China August 17 19 2018 Proceedings 1st Edition by Xiao Bai, Edwin R. Hancock, Tin Kam Ho, Richard C. Wilson, Battista Biggio, Antonio Robles-Kelly – Ebook PDF Instant Download/Delivery: 3319977849, 978-3319977843

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Product details:

ISBN 10: 3319977849 

ISBN 13: 978-3319977843

Author:  Xiao Bai, Edwin R. Hancock, Tin Kam Ho, Richard C. Wilson, Battista Biggio, Antonio Robles-Kelly

 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.

Table of contents:

 Classification and Clustering
1.    Image Annotation Using a Semantic Hierarchy
2.    Malignant Brain Tumor Classification Using the Random Forest Method
3.    Rotationally Invariant Bark Recognition
4.    Dynamic Voting in Multi-view Learning for Radiomics Applications
5.    Iterative Deep Subspace Clustering
6.    A Scalable Spectral Clustering Algorithm Based on Landmark-Embedding and Cosine Similarity
Deep Learning and Neural Networks
7.    On Fast Sample Preselection for Speeding up Convolutional Neural Network Training
8.    UAV First View Landmark Localization via Deep Reinforcement Learning
9.    Context Free Band Reduction Using a Convolutional Neural Network
10.    Local Patterns and Supergraph for Chemical Graph Classification with Convolutional Networks
11.    Learning Deep Embeddings via Margin-Based Discriminate Loss
Dissimilarity Representations and Gaussian Processes
12.    Protein Remote Homology Detection Using Dissimilarity-Based Multiple Instance Learning
13.    Local Binary Patterns Based on Subspace Representation of Image Patch for Face Recognition
14.    An Image-Based Representation for Graph Classification
15.    Visual Tracking via Patch-Based Absorbing Markov Chain
16.    Gradient Descent for Gaussian Processes Variance Reduction
17.    Sparsification of Indefinite Learning Models
18.    Semi-supervised Clustering Framework Based on Active Learning
19.    Supervised Classification Using Feature Space Partitioning
20.    Deep Homography Estimation with Pairwise Invertibility Constraint
Spatio-Temporal Pattern Recognition and Shape Analysis
21.    Graph Time Series Analysis Using Transfer Entropy
22.    Analyzing Time Series from Chinese Financial Market
23.    A Preliminary Survey of Analyzing Dynamic Time-Varying Financial Networks Using Graph Kernels
24.    Few-Example Affine Invariant Ear Detection in the Wild
25.    Line Voronoi Diagrams Using Elliptical Distances
Structural Matching
26.    Modelling the Generalised Median Correspondence Through an Edit Distance
27.    Learning the sub-optimal Graph Edit Distance Edits Based on an Embedded Model
28.    Ring Based Approximation of Graph Edit Distance
29.    Graph Edit Distance in the Exact Context
30.    The VF3-Light Subgraph Isomorphism Algorithm: When Doing Less Is More Effective
31.    A Deep Neural Network Architecture to Estimate Node Assignment Costs for the Graph Edit Distance
32.    Error-Tolerant Geometric Graph Similarity
33.    Learning Cost Functions for Graph Matching
34.    Matrix Regression-Based Classification for Face Recognition
35.    Phenotypic Imaging for Seeing Through Turbulence
36.    Weighted Local Mutual Information for 2D-3D Registration in Vascular Interventions
37.    Cross-Modal Retrieval with Reconstruct Hashing
38.    Deep Supervised Hashing with Information Loss
39.    Single Image Super Resolution via Neighbor Reconstruction
40.    An Efficient Method for Boundary Detection from Hyperspectral Imagery
Graph-Theoretic Methods
41.    Bags of Graphs for Human Action Recognition
42.    Categorization of RNA Molecules Using Graph Methods
43.    Quantum Edge Entropy for Alzheimer’s Disease Analysis
44.    Approximating GED Using a Stochastic Generator and Multistart IPFP
45.    Offline Signature Verification by Combining Graph Edit Distance and Triplet Networks
46.    On Association Graph Techniques for Hypergraph Matching
47.    Directed Network Analysis Using Transfer Entropy Component Analysis
48.    A Mixed Entropy Local-Global Reproducing Kernel for Attributed Graphs
49.    Dirichlet Densifiers: Beyond Constraining the Spectral Gap

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