Description 
1 online resource (xiii, 524 pages) : 134 illustrations 
Series 
Lecture Notes in Computer Science, 03029743 ; 11004 

LNCS Sublibrary: SL6 : Image Processing, Computer Vision, Pattern Recognition, and Graphics 

LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics.


Lecture notes in computer science ; 11004. 03029743

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 multiview learning for radiomics applications  Iterative Deep Subspace Clustering  A scalable spectral clustering algorithm based on landmarkembedding 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 Marginbased Discriminate Loss  Dissimilarity Representations and Gaussian Processes  Protein Remote Homology Detection using Dissimilaritybased Multiple Instance Learning  Local Binary Patterns based on Subspace Representation of Image Patch for Face Recognition  An imagebased representation for graph classification  Visual Tracking via Patchbased Absorbing Markov Chain  Gradient Descent for Gaussian Processes Variance Reduction  Semi and Fully Supervised Learning Methods  Sparsification of Indefinite Learning Models  Semisupervised Clustering Framework Based on Active Learning for Real Data  Supervised Classification Using Feature Space Partitioning  Deep Homography Estimation with Pairwise Invertibility Constraint  Spatiotemporal Pattern Recognition and Shape Analysis  Graph Time Series Analysis using Transfer Entropy  Analyzing Time Series from Chinese Financial Market Using A LinearTime Graph Kernel  A Preliminary Survey of Analyzing Dynamic Timevarying Financial Networks Using Graph Kernels  FewExample 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 VF3Light Subgraph Isomorphism Algorithm: when doing less is more effective  A Deep Neural Network Architecture to Estimate Node Assignment Costs for the Graph Edit Distance  ErrorTolerant Geometric Graph Similarity  Learning Cost Functions for Graph Matching  Multimedia Analysis and Understanding  Matrix Regressionbased Classification for Face Recognition  Plenoptic Imaging for Seeing Through Turbulence  Weighted Local Mutual Information for 2D3D Registration in Vascular Interventions  Crossmodel 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  GraphTheoretic 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 LocalGlobal Reproducing Kernel for Attributed Graphs  Dirichlet Densifiers: Beyond Constraining the Spectral Gap 
Summary 
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; spatiotemporal pattern recognition and shape analysis; structural matching; multimedia analysis and understanding; and graphtheoretic methods 
Bibliography 
Includes bibliographical references and index 
Notes 
Online resource; title from digital title page (viewed on September 20, 2018) 
Subject 
Pattern perception  Congresses


Computer science  Congresses


Data structures (Computer science)  Congresses


Algorithms  Congresses


Computer science  Mathematics  Congresses


Artificial intelligence  Congresses


Image processing  Congresses


Pattern recognition.


Image processing.


Algorithms & data structures.


Discrete mathematics.


Artificial intelligence.


Computers  Computer Vision & Pattern Recognition.


Computers  Computer Graphics.


Computers  Programming  Algorithms.


Computers  Data Processing.


Computers  Data Modeling & Design.


Computers  Intelligence (AI) & Semantics.


Algorithms.


Artificial intelligence.


Computer science.


Computer science  Mathematics.


Data structures (Computer science)


Image processing.


Pattern perception.

Genre/Form 
Conference papers and proceedings.


Conference papers and proceedings.


Actes de congrĂ¨s.

Form 
Electronic book

Author 
Xiao, Bai, editor


Hancock, Edwin R., editor


Ho, Tin Kam, editor


Wilson, Richard C., editor


Biggio, Battista, editor


RoblesKelly, Antonio, editor

ISBN 
9783319977850 

3319977857 

9783319977867 

3319977865 
