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

Structural, Syntactic, and Statistical Pattern Recognition Joint IAPR International Workshop, S+SSPR 2018, Beijing, China, August 17–19, 2018, Proceedings / edited by 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 wer...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Bai, Xiao (Editor), Hancock, Edwin R. (Editor), Ho, Tin Kam (Editor), Wilson, Richard C. (Editor), Biggio, Battista (Editor), Robles-Kelly, Antonio (Editor)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
Edition:1st ed. 2018.
Series:Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 11004
Springer eBook Collection.
Subjects:
Artificial intelligence.
Pattern recognition.
Optical data processing.
Algorithms.
Computer science—Mathematics.
Data structures (Computer science).
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • Classification 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.

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