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Manifold regularization
ECS289: Scalable Machine Learning
Semi-Supervised Classification Using Local and Global Regularization
Linear Manifold Regularization for Large Scale Semi-Supervised Learning
Semi-Supervised Deep Learning Using Improved Unsupervised Discriminant Projection?
Hyper-Parameter Optimization for Manifold Regularization Learning
Zero Shot Learning Via Multi-Scale Manifold Regularization
Semi-Supervised Deep Metric Learning Networks for Classification of Polarimetric SAR Data
Manifold Regularization and Semi-Supervised Learning: Some Theoretical Analyses
A Graph Based Approach to Semi-Supervised Learning
Cross-Modal and Multimodal Data Analysis Based on Functional Mapping of Spectral Descriptors and Manifold Regularization
Classification by Discriminative Regularization
Approximate Manifold Regularization: Scalable Algorithm and Generalization Analysis
A Geometric Viewpoint of Manifold Learning
Vector-Valued Manifold Regularization
Manifold Regularization
Parametric Nonlinear Dimensionality Reduction Using Kernel T-SNE
Mikhail Belkin — Curriculum Vitae
On Semi-Supervised Linear Regression in Covariate Shift Problems
Top View
Manifold Regularization for Locally Stable Deep Neural Networks
Graph Construction for Manifold Discovery
Semi-Supervised Learning with Gans: Manifold Invari- Ance with Improved Inference
Manifold Regularization: a Geometric Framework
Regression on Manifolds: Estimation of the Exterior Derivative∗
Manifold Regularized Discriminative Neural Networks
Manifold Regularization and Semi-Supervised Learning: Some Theoretical Analyses
Semi-Supervised Support Vector Machines with Tangent Space Intrinsic Manifold Regularization
Semi-Supervised Learning Supervised Learning P G
Manifold Regularization: a Geometric Framework for Learning from Labeled and Unlabeled Examples
Regression on Manifolds Using Kernel Dimension Reduction
Manifold Regularization: a Geometric Framework for Learning from Labeled and Unlabeled Examples
On Nonlinear Dimensionality Reduction, Linear Smoothing and Autoencoding
Manifold Regularized Transfer Distance Metric Learning
Online Manifold Regularization: a New Learning Setting and Empirical Study
Tangent Space Intrinsic Manifold Regularization for Data Representation
Graph Agreement Models for Semi-Supervised Learning
Manifold Regularization for Kernelized LSTD