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.