manifold regularization

Zero Shot Learning via Multi-Scale Manifold Regularization CVPR 2017 A Unifying Framework in Vector-valued Reproducing Kernel Hilbert Spaces for Manifold Regularization and Co-Regularized Multi-view Learning JMLR 2016 Local High-Order Regularization on Data Manifolds CVPR 2015 Optimal Graph Learning With Partial Tags and Multiple Features for Image and Video Annotation CVPR 2015 Semi-Supervised Low-Rank Mapping Learning for Multi-Label Classification CVPR 2015 Supervised Descriptor Learning for Multi-Output Regression CVPR 2015 (Almost) No Label No Cry NeurIPS 2014 A unifying framework for vector-valued manifold regularization and multi-view learning ICML 2013 Manifold Regularization and Semi-supervised Learning: Some Theoretical Analyses JMLR 2013 Parametric Local Metric Learning for Nearest Neighbor Classification NeurIPS 2012 Laplacian Support Vector Machines Trained in the Primal JMLR 2011 Learning Multiple Tasks using Manifold Regularization NeurIPS 2010 Semi-Supervised Learning with Max-Margin Graph Cuts AISTATS 2010 Entropic Graph Regularization in Non-Parametric Semi-Supervised Classification NeurIPS 2009 Manifold Regularization for SIR with Rate Root-n Convergence NeurIPS 2009 Statistical Analysis of Semi-Supervised Learning: The Limit of Infinite Unlabelled Data NeurIPS 2009 Semi-Supervised Multitask Learning NeurIPS 2007 Large-Scale Sparsified Manifold Regularization NeurIPS 2006 Learning on Graph with Laplacian Regularization NeurIPS 2006 Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples JMLR 2006