Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: An RKHS for multi-view learning and manifold co-regularization
Manifold regularization: A geometric framework for learning from labeled and unlabeled examples
Multi-view Clustering via Multi-manifold Regularized Nonnegative Matrix Factorization
The Power of Complementary Regularizers: Image Recovery via Transform Learning and Low-Rank Modeling
Partially Shared Latent Factor Learning With Multiview Data
Laplacian Regularized Low-Rank Representation and Its Applications
Witnessing Adversarial Training in Reproducing Kernel Hilbert Spaces.
learning with single view co - training and marginalized dropout .
Transfer Learning via Multi-View Principal Component Analysis
Sparse Representation With Kernels
A geometric viewpoint of manifold learning
Generalized Latent Multi-View Subspace Clustering
Dimensionality reduction for supervised learning with reproducing kernel Hilbert spaces
Sharable and Individual Multi-View Metric Learning
multi - manifold semi - supervised learning .
Generalized Multiview Analysis: A discriminative latent space
Regularized Kernel and Neural Sobolev Descent: Dynamic MMD Transport
Multi-view Sparse Co-clustering via Proximal Alternating Linearized Minimization
Manifold regularized cross-modal embedding for zero-shot learning
Large-Scale Low-Rank Matrix Learning with Nonconvex Regularizers
Localized Multiple Kernel Learning With Dynamical Clustering and Matrix Regularization
Answer-Aware Attention on Grounded Question Answering in Images
Multi-scale Pyramid Feature Maps for Object Detection
Learning with local and global consistency
High-pressure balloon dilation for male anterior urethral stricture: single-center experience
A REVIEW ON HELIOTROPIUM INDICUM L. ( BORAGINACEAE)