Structural, Syntactic, and Statistical Pattern Recognition : Joint IAPR International Workshop, SSPR & SPR 2012, Hiroshima, Japan, November 7-9, 2012, Proceedings / edited by Georgy Gimel´farb, Edwin Hancock, Atsushi Imiya, Arjan Kuijper, Mineichi Kudo, Shinichiro Omachi, Terry Windeatt, Keiji Yamada.

Format:

Book

Contributor:

Gimel´farb, Georgy., Editor.

Hancock, Edwin., Editor.

Imiya, Atsushi, Editor.

Kuijper, Arjan, Editor.

Kudo, Mineichi., Editor.

Omachi, Shinichiro., Editor.

Windeatt, Terry, Editor.

Yamada, Keiji., Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics ; SL 6, 7626

Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 7626

Language:

English

Subjects (All):

Artificial intelligence.

Pattern recognition systems.

Application software.

Database management.

Algorithms.

Data mining.

Artificial Intelligence.

Automated Pattern Recognition.

Computer and Information Systems Applications.

Database Management.

Data Mining and Knowledge Discovery.

Local Subjects:

Artificial Intelligence.

Automated Pattern Recognition.

Computer and Information Systems Applications.

Database Management.

Algorithms.

Data Mining and Knowledge Discovery.

Physical Description:

1 online resource (XVIII, 755 pages) : 236 illustrations

Edition:

1st ed. 2012.

Contained In:

Springer Nature eBook

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.

System Details:

text file PDF

Summary:

This volume constitutes the refereed proceedings of the Joint IAPR International Workshops on Structural and Syntactic Pattern Recognition (SSPR 2012) and Statistical Techniques in Pattern Recognition (SPR 2012), held in Hiroshima, Japan, in November 2012 as a satellite event of the 21st International Conference on Pattern Recognition, ICPR 2012. The 80 revised full papers presented together with 1 invited paper and the Pierre Devijver award lecture were carefully reviewed and selected from more than 120 initial submissions. The papers are organized in topical sections on structural, syntactical, and statistical pattern recognition, graph and tree methods, randomized methods and image analysis, kernel methods in structural and syntactical pattern recognition, applications of structural and syntactical pattern recognition, clustering, learning, kernel methods in statistical pattern recognition, kernel methods in statistical pattern recognition, as well as applications of structural, syntactical, and statistical methods.

Contents:

Estimation, Learning, and Adaptation: Systems That Improve with Use

Optimization Techniques for Geometric Estimation: Beyond Minimization

Hierarchical Compositional Representations of Object Structure

Information Theoretic Prototype Selection for Unattributed Graphs

Graph Kernels: Crossing Information from Different Patterns Using Graph Edit Distance

Mode Seeking Clustering by KNN and Mean Shift Evaluated

Learning Sparse Kernel Classifiers in the Primal

EvolutionaryWeighted Mean Based Framework for Generalized Median Computation with Application to Strings

Graph Complexity from the Jensen-Shannon Divergence

Complexity of Computing Distances between Geometric Trees

Active Graph Matching Based on Pairwise Probabilities between Nodes

On the Relation between the Common Labelling and the Median Graph

A Hierarchical Image Segmentation Algorithm Based on an Observation Scale

A Discrete Scale Space Neighborhood for Robust Deep Structure Extraction

On the Correlation of Graph Edit Distance and L1 Distance in the Attribute Statistics Embedding Space

Approximate Axial Symmetries from Continuous Time Quantum Walks

A Clustering-Based Ensemble Technique for Shape Decomposition

Laplacian Eigenimages in Discrete Scale Space

A Relational Kernel-Based Framework for Hierarchical Image Understanding

A Jensen-Shannon Kernel for Hypergraphs

Heat Flow-Thermodynamic Depth Complexity in Directed Networks

Shape Similarity Based on a Treelet Kernel with Edition

3D Shape Classification Using Commute Time

Conditional Random Fields for Land Use/Land Cover Classification and Complex Region Detection

Recognition of Long-Term Behaviors by Parsing Sequences of Short-Term Actions with a Stochastic Regular Grammar

A Comparison between Structural and Embedding Methods for Graph Classification

Improving Fuzzy Multilevel Graph Embedding through Feature Selection Technique

Dynamic Learning of SCRF for Feature Selection and Classification of Hyperspectral Imagery

Entropic Selection of Histogram Features for Efficient Classification

2D Shapes Classification Using BLAST

A New Random Forest Method for One-Class Classification

A New Index Based on Sparsity Measures for Comparing Fuzzy Partitions

Polichotomies on Imbalanced Domains by One-per-Class Compensated Reconstruction Rule

The Dipping Phenomenon

Colour Matching Function Learning

Constrained Log-Likelihood-Based Semi-supervised Linear Discriminant Analysis

Out-of-Sample Embedding by Sparse Representation

Extended Analyses for an Optimal Kernel in a Class of Kernels with an Invariant Metric

Simultaneous Learning of Localized Multiple Kernels and Classifier with Weighted Regularization

Change-Point Detection in Time-Series Data by Relative Density-Ratio Estimation

Online Metric Learning Methods Using Soft Margins and Least Squares Formulations

Shape Analysis Using the Edge-Based Laplacian

One-Sided Prototype Selection on Class Imbalanced Dissimilarity Matrices

Estimating Surface Characteristics and Extracting Features from Polarisation

Extended Fisher Criterion Based on Auto-correlation Matrix Information

Poisoning Adaptive Biometric Systems

Modified Divergences for Gaussian Densities

Graph Database Retrieval Based on Metric-Trees

Validation of Network Classifiers

Alignment and Morphing for the Boundary Curves of Anatomical Organs

Unsupervised Clustering of Human Pose Using Spectral Embedding

Human Action Recognition in Video by Fusion of Structural and Spatio-temporal Features

An Incremental Structured Part Model for Image Classification

Top-Down Tracking and Estimating 3D Pose of a Die

Large Scale Experiments on Fingerprint Liveness Detection

Implicit and Explicit Graph Embedding: Comparison of Both Approaches on Chemoinformatics Applications

Modeling Spoken Dialog Systems under the Interactive Pattern Recognition Framework

Hierarchical Graph Representation for Symbol Spotting in Graphical Document Images

Compact Form of the Pseudo-inverse Matrix in the Approximation of a Star Graph Using the Conductance Electrical Model (CEM)

A Heuristic Based on the Intrinsic Dimensionality for Reducing the Number of Cyclic DTW Comparisons in Shape Classification and Retrieval Using AESA

Support Vector Machines Training Data Selection Using a Genetic Algorithm

A Unified View of Two-Dimensional Principal Component Analyses

Automatic Dimensionality Estimation for Manifold Learning through Optimal Feature Selection

Novel Gabor-PHOG Features for Object and Scene Image Classification

Binary Gabor Statistical Features for Palmprint Template Protection

Class-Dependent Dissimilarity Measures for Multiple Instance Learning

Bidirectional Language Model for Handwriting Recognition

Hypergraph Spectra for Unsupervised Feature Selection

Feature Selection Using Counting Grids: Application to Microarray Data

Infinite Sparse Factor Analysis for Blind Source Separation in Reverberant Environments

Sparse Discriminant Analysis Based on the Bayesian Posterior Probability Obtained by L1 Regression

Conditional Variance of Differences: A Robust Similarity Measure for Matching and Registration

A Class Centric Feature and Classifier Ensemble Selection Approach for Music Genre Classification

A Local Adaptation of the Histogram Radon Transform Descriptor: An Application to a Shoe Print Dataset

A Multiple Classifier System for Classification of Breast Lesions Using Dynamic and Morphological Features in DCE-MRI

A Comparative Analysis of Forgery Detection Algorithms

Low Training Strength High Capacity Classifiers for Accurate Ensembles Using Walsh Coefficients

A Novel Shadow-Assistant Human Fall Detection Scheme Using a Cascade of SVM Classifiers

Analysis of Co-training Algorithm with Very Small Training Sets

Classification of High-Dimension PDFs Using the Hungarian Algorithm

Face Recognition Using Multilinear Manifold Analysis of Local Descriptors

A Genetic Inspired Optimization for ECOC.

Other Format:

Printed edition:

ISBN:

978-3-642-34166-3

9783642341663

Access Restriction:

Restricted for use by site license.