Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: megaman: Manifold Learning with Millions of points
Principal manifolds and nonlinear dimensionality reduction via tangent space alignment
Robust manifold matrix factorization for joint clustering and feature extraction
Log-Euclidean Metric Learning on Symmetric Positive Definite Manifold with Application to Image Set Classification
Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering
multi - manifold semi - supervised learning .
The Role of Manifold Learning in Human Motion Analysis
Local and global regressive mapping for manifold learning with out-of-sample extrapolation
Manifold Learning for Medical Image Registration, Segmentation, and Classification
MiPPS : A Generative Model for Multi-Manifold Clustering
Ranking on Data Manifolds
Manifold Regularized Discriminative Nonnegative Matrix Factorization With Fast Gradient Descent
Multi-view Clustering via Multi-manifold Regularized Nonnegative Matrix Factorization
Iterative Manifold Embedding Layer Learned by Incomplete Data for Large-Scale Image Retrieval
Learning to Disentangle Factors of Variation with Manifold Interaction
Manifold-Manifold Distance with application to face recognition based on image set
Constrained Laplacian Eigenmap for dimensionality reduction
Manifold Preserving: An Intrinsic Approach for Semisupervised Distance Metric Learning
Nonlinear dimensionality reduction for visualization
Manifold Elastic Net: A Unified Framework for Sparse Dimension Reduction
Low Dimensional Manifold Model for Image Processing
Learning Spectral Clustering
Validation of a general measure of treatment satisfaction, the Treatment Satisfaction Questionnaire for Medication (TSQM), using a national panel study of chronic disease
Atomic Convolutional Networks for Predicting Protein-Ligand Binding Affinity
FdConfig: A Constraint-Based Interactive Product Configurator
The Feasibility of Canine Rabies Elimination in Africa: Dispelling Doubts with Data