Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: An introduction to nonlinear dimensionality reduction by maximum variance unfolding
Learning a kernel matrix for nonlinear dimensionality reduction
The Sparse Manifold Transform
Parallel Transport Unfolding: A Connection-based Manifold Learning Approach
Visualizing High-Dimensional Data: Advances in the Past Decade
Auto-encoder based dimensionality reduction
megaman: Manifold Learning with Millions of points
Sparse Principal Component Analysis
Graph Embedding and Extensions: A General Framework for Dimensionality Reduction
Reducing the Dimensionality of Data with Neural Networks
Branching embedding: A heuristic dimensionality reduction algorithm based on hierarchical clustering
Dimensionality-reduced subspace clustering
Explaining three-dimensional dimensionality reduction plots
high - dimensional data analysis : the curses and blessings of dimensionality .
The Emerging "Big Dimensionality"
Eigensolver Methods for Progressive Multidimensional Scaling of Large Data
Reducing the Dimensionality of Data with Neural
Sparse Manifold Clustering and Embedding
Dimension Reduction and Data Visualization Using Neural Networks
Approximation of Points on Low-Dimensional Manifolds Via Random Linear Projections
A fast, universal algorithm to learn parametric nonlinear embeddings
12 A Mobile Device Based ECG Analysis System
Hessian eigenmaps: Locally linear embedding techniques for high-dimensional data
morse theory for filtrations and efficient computation of persistent homology .
Effects of Masculinity, Sex, and Control on Different Types of Intimate Partner Violence Perpetration
Managing Congenitally Missing Lateral Incisors. Part III: Single-Tooth Implants