Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: Robust Locally Linear Embedding
nonlinear dimensionality reduction by locally linear embedding .
Laplacian Eigenmaps for Dimensionality Reduction and Data Representation
Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering
Riemannian manifold learning for nonlinear dimensionality reduction
An introduction to nonlinear dimensionality reduction by maximum variance unfolding
Local discriminant embedding and its variants
Dimensionality Reduction by Learning an Invariant Mapping
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
Semi-supervised nonlinear dimensionality reduction
Approximate Orthogonal Sparse Embedding for Dimensionality Reduction
Constrained Laplacian Eigenmap for dimensionality reduction
Principal Manifolds and Nonlinear Dimension Reduction via Local Tangent Space Alignment
Distance Preserving Dimension Reduction for Manifold Learning
Stochastic Neighbor Embedding
Nonlinear dimensionality reduction for visualization
A Novel Locally Linear KNN Method With Applications to Visual Recognition
Supervised nonlinear dimensionality reduction for visualization and classification
Graph Embedding and Extensions: A General Framework for Dimensionality Reduction
Robust Latent Subspace Learning for Image Classification
A Global Geometric Framework for Nonlinear Dimensionality Reduction
M3Express: A low-cost independently-mobile reconfigurable modular robot
Nonparametrically Guided Autoencoder with Laplace Approximation for dimensionality reduction
GTM: The Generative Topographic Mapping
Hierarchical Extreme Learning Machine for unsupervised representation learning
Information retrieval in big data using evolutionary computation: A survey