Invited Talks -- From Region Based Image Representation to Object Discovery and Recognition -- Learning on Manifolds -- Classification and Trees -- Structural Patterns in Complex Networks through Spectral Analysis -- Structural Descriptions -- Graph Embedding Using an Edge-Based Wave Kernel -- A Structured Learning Approach to Attributed Graph Embedding -- Machine Learning -- Combining Elimination Rules in Tree-Based Nearest Neighbor Search Algorithms -- Localized Projection Learning -- Entropy-Based Variational Scheme for Fast Bayes Learning of Gaussian Mixtures -- Structural Learning -- Learning Graph Quantization -- High-Dimensional Spectral Feature Selection for 3D Object Recognition Based on Reeb Graphs -- Dissimilarity-Based Multiple Instance Learning -- A Game Theoretic Approach to Learning Shape Categories and Contextual Similarities -- Poster Session -- A Comparison between Two Representatives of a Set of Graphs: Median vs. Barycenter Graph -- Impact of Visual Information on Text and Content Based Image Retrieval -- Automatic Traffic Monitoring from Satellite Images Using Artificial Immune System -- Graduated Assignment Algorithm for Finding the Common Labelling of a Set of Graphs -- Affinity Propagation for Class Exemplar Mining -- Guided Informative Image Partitioning -- Visual Alphabets on Different Levels of Abstraction for the Recognition of Deformable Objects -- Graph Embedding Based on Nodes Attributes Representatives and a Graph of Words Representation -- Extracting Plane Graphs from Images -- Indexing Tree and Subtree by Using a Structure Network -- Attributed Graph Matching for Image-Features Association Using SIFT Descriptors -- A Causal Extraction Scheme in Top-Down Pyramids for Large Images Segmentation -- Fast Population Game Dynamics for Dominant Sets and Other Quadratic Optimization Problems -- What Is the Complexity of a Network? The Heat Flow-Thermodynamic Depth Approach -- New Partially Labelled Tree Similarity Measure: A Case Study -- Complete Search Space Exploration for SITG Inside Probability -- Commute-Time Convolution Kernels for Graph Clustering -- Geometric Methods -- Non-Euclidean Dissimilarities: Causes and Informativeness -- Non-parametric Mixture Models for Clustering -- Structural Methods for Vision -- A Probabilistic Approach to Spectral Unmixing -- A Game-Theoretic Approach to the Enforcement of Global Consistency in Multi-view Feature Matching -- An Algorithm for Recovering Camouflage Errors on Moving People -- Clustering -- Semi-supervised Clustering Using Heterogeneous Dissimilarities -- On Consensus Clustering Validation -- Pairwise Probabilistic Clustering Using Evidence Accumulation -- Exploring the Performance Limit of Cluster Ensemble Techniques -- Contour Grouping by Clustering with Multi-feature Similarity Measure -- Poster Session -- A Psychophysical Evaluation of Texture Degradation Descriptors -- Content-Based Tile Retrieval System -- Performance Improvement in Multiple-Model Speech Recognizer under Noisy Environments -- On Feature Combination for Music Classification -- Information Theoretical Kernels for Generative Embeddings Based on Hidden Markov Models -- Dynamic Linear Combination of Two-Class Classifiers -- Large-Scale Text to Image Retrieval Using a Bayesian K-Neighborhood Model -- Maximum a Posteriori Based Kernel Classifier Trained by Linear Programming -- Improvement of the Disc Harmonic Moments Descriptor by an Exponentially Decaying Distance Transform -- Feature Level Fusion of Face and Palmprint Biometrics -- Scale and Rotation Invariant Detection of Singular Patterns in Vector Flow Fields -- Using K-NN SVMs for Performance Improvement and Comparison to K-Highest Lagrange Multipliers Selection -- Automatic Speech Segmentation Based on Acoustical Clustering -- An Efficient Iris and Eye Corners Extraction Method -- Dissimilarity-Based Methods -- An Empirical Comparison of Kernel-Based and Dissimilarity-Based Feature Spaces -- The Dissimilarity Representation as a Tool for Three-Way Data Classification: A 2D Measure -- Regularising the Ricci Flow Embedding -- Spherical Embedding and Classification -- Language -- Language Detection and Tracking in Multilingual Documents Using Weak Estimators -- Similarity Word-Sequence Kernels for Sentence Clustering -- Bayesian Adaptation for Statistical Machine Translation -- A Generative Score Space for Statistical Dialog Characterization in Social Signalling -- Multiple Classifiers -- A Modular Approach to Training Cascades of Boosted Ensembles -- A Linear Combination of Classifiers via Rank Margin Maximization -- Combination of Dichotomizers for Maximizing the Partial Area under the ROC Curve -- Graphs -- Ihara Coefficients: A Flexible Tool for Higher Order Learning -- A New Spectral Bound on the Clique Number of Graphs -- Large Sample Statistics in the Domain of Graphs -- Statistical Pattern Recognition -- Analysis of the Multi-Dimensional Scale Saliency Algorithm and Its Application to Texture Categorization -- Interactive Image Retrieval Using Smoothed Nearest Neighbor Estimates -- Kernel Fusion of Multiple Histogram Descriptors for Robust Face Recognition -- Structural Methods for OCR -- Efficient OCR Post-Processing Combining Language, Hypothesis and Error Models -- Rejection Threshold Estimation for an Unknown Language Model in an OCR Task -- A New Editing Scheme Based on a Fast Two-String Median Computation Applied to OCR.

This volume constitutes the refereed proceedings of the Joint IAPR International Workshop, SSPR & SPR 2010, held in Cesme, Izmir, Turkey, in August 2010.