Structural, Syntactic, and Statistical Pattern Recognition

Invited Talks (Abstracts).- Data Complexity Analysis: Linkage between Context and Solution in Classification.- Graph Classification on Dissimilarity Space Embedding.- Markov Logic: A Unifying Language for Structural and Statistical Pattern Recognition.- Linear Discriminant Classifier (LDC) for Streaming Data with Concept Drift.- SSPR.- Graph Edit Distance without Correspondence from Continuous-Time Quantum Walks.- Exact Median Graph Computation Via Graph Embedding.- Similarity Invariant Delaunay Graph Matching.- An Inexact Graph Comparison Approach in Joint Eigenspace.- A Vectorial Representation for the Indexation of Structural Informations.- Stochastic Text Models for Music Categorization.- Efficient Pruning of Probabilistic Automata.- Position Models and Language Modeling.- Melody Recognition with Learned Edit Distances.- Context First.- Activity Representation in Crowd.- 3D Object Recognition Using Hyper-Graphs and Ranked Local Invariant Features.- Image Matching with Spatially Variant Contrast and Offset: A Quadratic Programming Approach.- Natural Versus Artificial Scene Classification by Ordering Discrete Fourier Power Spectra.- Fuzzy ART for Relatively Fast Unsupervised Image Color Quantization.- Recognising Facial Expressions Using Spherical Harmonics.- Complex Fiedler Vectors for Shape Retrieval.- Combining Shape Priors and MRF-Segmentation.- Measuring the Similarity of Vector Fields Using Global Distributions.- Consensus Graphs for Symmetry Plane Estimation.- Graph Characteristic from the Gauss-Bonnet Theorem.- Quantitative Evaluation on Heat Kernel Permutation Invariants.- Hierarchical Bag of Paths for Kernel Based Shape Classification.- Polytopal Graph Complexity, Matrix Permanents, and Embedding.- Gesture Recognition Based on Manifold Learning.- Graph Characteristics from the Ihara Zeta Function.- A Learning Approach to 3D Object Representation for Classification.- Region Based Visual Object Categorization Using Segment Features and Polynomial Modeling.- Poster Papers.- IAM Graph Database Repository for Graph Based Pattern Recognition and Machine Learning.- Hybrid Genetic Algorithm and Procrustes Analysis for Enhancing the Matching of Graphs Generated from Shapes.- Spectral Embedding of Feature Hypergraphs.- Clustering Using Class Specific Hyper Graphs.- Structure Is a Visual Class Invariant.- Local Fisher Discriminant Component Hashing for Fast Nearest Neighbor Classification.- Significance Tests and Statistical Inequalities for Region Matching.- Advanced Homology Computation of Digital Volumes Via Cell Complexes.- Modeling the Model Athlete: Automatic Coaching of Rowing Technique.- Optimal Solution of the Dichromatic Model for Multispectral Photometric Invariance.- Ensemble Combination for Solving the Parameter Selection Problem in Image Segmentation.- Semantic Scene Classification for Image Annotation and Retrieval.- Multi-angle View, Illumination and Cosmetic Facial Image Database (MaVIC) and Quantitative Analysis of Facial Appearance.- Shape Representation Robust to the Sketching Order Using Distance Map and Direction Histogram.- A Stochastic Approach to Median String Computation.- Tracking by Hierarchical Representation of Target Structure.- Using the Shape Characteristics of Rain to Identify and Remove Rain from Video.- SPR.- A Fast Approach to Improve Classification Performance of ECOC Classification Systems.- Partially Corrective AdaBoost.- Selection and Fusion of Similarity Measure Based Classifiers Using Support Vector Machines.- On Mixtures of Linear SVMs for Nonlinear Classification.- Adversarial Pattern Classification Using Multiple Classifiers and Randomisation.- Adaptive Learning Rate for Online Linear Discriminant Classifiers.- Combining Online Classification Approaches for Changing Environments.- Optimal Kernel in a Class of Kernels with an Invariant Metric.- Chaotic Pattern Recognition: The Spectrum of Properties of the Adachi Neural Network.- On Euclidean Corrections for Non-Euclidean Dissimilarities.- Feature and Classifier Selection in Class Decision Trees.- Soft Feature Selection by Using a Histogram-Based Classifier.- Embedded Map Projection for Dimensionality Reduction-Based Similarity Search.- Novel Incremental Principal Component Analysis with Improved Performance.- An Efficient Algorithm for Optimal Multilevel Thresholding of Irregularly Sampled Histograms.- A Family of Cluster Validity Indexes Based on a l-Order Fuzzy OR Operator.- Fast Multivariate Ordinal Type Histogram Matching.- Distance between Histograms with Shuffled Cost Matrix.- Using Non Local Features for 3D Shape Grouping.- A Dynamic Programming Technique for Optimizing Dissimilarity-Based Classifiers.- Supervised Principal Geodesic Analysis on Facial Surface Normals for Gender Classification.- Exploring Margin Maximization for Biometric Score Fusion.- Biometric Template Update: An Experimental Investigation on the Relationship between Update Errors and Performance Degradation in Face Verification.- Automatic Mutual Nonrigid Registration of Dense Surfaces by Graphical Model Based Inference.- A Novel Video Classification Method Based on Hybrid Generative/Discriminative Models.- Scale-Space Kernels for Additive Modeling.- Learning Curves for the Analysis of Multiple Instance Classifiers.- Poster Papers.- Categorizing Perceptions of Indoor Rooms Using 3D Features.- Template Selection by Editing Algorithms: A Case Study in Face Recognition.- A Novel Coding Scheme for Indexing Fingerprint Patterns.- A Theoretical and Experimental Analysis of Template Co-update in Biometric Verification Systems.- A New Solution Scheme of Unsupervised Locality Preserving Projection Method for the SSS Problem.- High Occupancy Vehicle Detection.- Automatic Classification of NMR Spectra by Ensembles of Local Experts.- Bagging, Random Subspace Method and Biding.- Use of Structured Pattern Representations for Combining Classifiers.- Combination of Experts by Classifiers in Similarity Score Spaces.- Improving the Performance of a NER System by Post-processing and Voting.- A Low Cost Incremental Biometric Fusion Strategy for a Handheld Device.- A Hidden Markov Model Approach to Classify and Predict the Sign of Financial Local Trends.- Local Metric Learning on Manifolds with Application to Query-Based Operations.- Behavior Analysis of Volume Prototypes in High Dimensionality.- Pattern Recognition Approaches for Classifying IP Flows.- Outlier Robust Gaussian Process Classification.- 2D Shape Classification Using Multifractional Brownian Motion.- A New Performance Evaluation Method for Two-Class Imbalanced Problems.- A Pruning Rule Based on a Distance Sparse Table for Hierarchical Similarity Search Algorithms.- Classification and Automatic Annotation Extension of Images Using Bayesian Network.- Selection of Suitable Set of Decision Rules Using Choquet Integral.- Evaluating the Stability of Feature Selectors That Optimize Feature Subset Cardinality.- A Learning Scheme for Recognizing Sub-classes from Model Trained on Aggregate Classes.- An Empirical Evaluation of Common Vector Based Classification Methods and Some Extensions.- Invited Talks (Full Papers).- Data Complexity Analysis: Linkage between Context and Solution in Classification.- Graph Classification Based on Dissimilarity Space Embedding.