A Novel Data Representation based on a Second-Order Dissimilarity Measure -- Characterizing Multiple Instance Datasets -- Supervised learning of diffiusion distance to improve histogram matching -- Similarity Analysis from Limiting Quantum Walks -- Introducing Negative Evidence in Ensemble Clustering -- Dissimilarity representations for low-resolution face recognition -- Deep metric learning using Triplet network -- Cluster Merging Based on Dominant Sets -- An Adaptive Radial Basis Function Kernel for Support Vector Data Description -- Robust initialization for learning Latent Dirichlet Allocation -- Unsupervised Motion Segmentation Using Metric Embedding of Features -- Transitive Assignment Kernels for Structural Classification -- Large scale Indefinite Kernel Fisher Discriminant -- Similarity-based User Identification across Social Networks -- Dominant-Set Clustering Using Multiple Affinity Matrices -- Distance-Based Network Recovery under Feature Correlation -- Discovery of salient low-dimensional dynamical structure using Hopfield Networks -- On Geodesic Exponential Kernels -- A Matrix Factorization Approach to Graph Compression -- A Geometrical Approach to Find Corresponding Patches in 3D Medical Surfaces -- Similarities, SDEs, and Most Probable Paths -- Can the optimum similarity matrix be selected before clustering for graph-based approaches? -- Approximate spectral clustering with utilized similarity information fusing geodesic based hybrid distance measures.