Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: Trace Ratio Optimization-Based Semi-Supervised Nonlinear Dimensionality Reduction for Marginal Manifold Visualization
Semi-supervised nonlinear dimensionality reduction
Analysis and extension of spectral methods for nonlinear dimensionality reduction
Improved t-SNE based manifold dimensional reduction for remote sensing data processing
A geometric viewpoint of manifold learning
A General Framework for Dimensionality-Reducing Data Visualization Mapping
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
Locally Linear Hashing for Extracting Non-linear Manifolds
A Visual Interaction Framework for Dimensionality Reduction Based Data Exploration
Enhanced High Dimensional Data Visualization through Dimension Reduction and Attribute Arrangement
A Behavioral Investigation of Dimensionality Reduction
A Study on Validating Non-Linear Dimensionality Reduction using Persistent Homology
Nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization
A survey of dimensionality reduction techniques
Constrained Laplacian Eigenmap for dimensionality reduction
Multilinear Spatial Discriminant Analysis for Dimensionality Reduction
megaman: Manifold Learning with Millions of points
Groupwise Dimension Reduction via Envelope Method.
Deep discriminative manifold learning
Sparse Manifold Clustering and Embedding
1 Spectral Methods for Dimensionality Reduction
A Random Graph Model for Power Law Graphs
Security issues in network virtualization for the future Internet
Stress enhances reconsolidation of declarative memory
Animal-assisted activity and emotional status of patients with Alzheimer's disease in day care.
Locality Preserving Projections