Pattern Learning and Recognition on Statistical Manifolds: An Information-Geometric Review -- Dimension Reduction Methods for Image Pattern Recognition -- Efficient Regression in Metric Spaces via Approximate Lipschitz Extension -- Data Analysis of (Non-)Metric Proximities at Linear Costs -- On the Informativeness of Asymmetric Dissimilarities -- Information-Theoretic Dissimilarities for Graphs -- Information Theoretic Pairwise Clustering -- Correlation Clustering with Stochastic Labellings -- Break and Conquer: Efficient Correlation Clustering for Image Segmentation -- Multi-task Averaging via Task Clustering -- Modeling and Detecting Community Hierarchies -- Graph Characterization Using Gaussian Wave Packet Signature -- Analysis of the Schrödinger Operator in the Context of Graph Characterization -- Attributed Graph Similarity from the Quantum Jensen-Shannon Divergence -- Entropy and Heterogeneity Measures for Directed Graphs -- Fast Learning of Gamma Mixture Models with k-MLE -- Exploiting Geometry in Counting Grids -- On the Dissimilarity Representation and Prototype Selection for Signature-Based Bio-cryptographic Systems -- A Repeated Local Search Algorithm for BiClustering of Gene Expression Data.