Structural, Syntactic, and Statistical Pattern Recognition [E-Book]: 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.
Gimel’farb, Georgy.
Hancock, Edwin. / Imiya, Atsushi. / Kudo, Mineichi. / Kuijper, Arjan. / Omachi, Shinichiro. / Windeatt, Terry. / Yamada, Keiji.
Berlin, Heidelberg : Springer Berlin Heidelberg : 2012
Imprint: Springer,
XVIII, 755 p. 236 illus. digital.
Lecture notes in computer science ; 7626
Full Text
Table of 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 theAttribute 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 HungarianAlgorithm
  • Face Recognition Using Multilinear Manifold Analysis of Local Descriptors
  • A Genetic Inspired Optimization for ECOC..