https://jmlr.org/papers/v14/niyogi13a.html
Manifold Regularization and Semi-supervised Learning: Some Theoretical Analyses
semi supervised learningmanifold regularizationtheoreticalanalyses
https://openreview.net/forum?id=TVnkjz4MqV&referrer=%5Bthe%20profile%20of%20Chenggang%20Chen%5D(%2Fprofile%3Fid%3D~Chenggang_Chen1)
Neural Manifold Regularization: Aligning 2D Latent Dynamics with Stereotyped, Natural, and...
Mapping neural activity to behavior is a fundamental goal in both neuroscience and brain-machine interfaces. Traditionally, at least three-dimensional (3D)...
manifold regularizationneuralaligning2d
https://deepai.org/publication/a-unifying-framework-in-vector-valued-reproducing-kernel-hilbert-spaces-for-manifold-regularization-and-co-regularized-multi-view-learning
A Unifying Framework in Vector-valued Reproducing Kernel Hilbert Spaces for Manifold Regularization...
Jan 31, 2014 - 01/31/14 - This paper presents a general vector-valued reproducing kernel Hilbert spaces (RKHS) framework for the problem of learning an unkn...