A Matrix Factorization Approach for Integrating Multiple Data Views
Convergence of the graph Laplacian application to dimensionality estimation and image segmentation
Active-Transductive Learning with Label-Adapted Kernels
Introduction to Machine Learning
Data-Dependent Geometries and Structures: Analyses and Algorithms for Machine Learning
Semidefinite ranking on graphs
Normalized Cut meets MRF
Geometric Methods and Manifold Learning
Big Data Clustering
Deep Belief Networks