Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: Analysis and extension of spectral methods for nonlinear dimensionality reduction
A Global Geometric Framework for Nonlinear Dimensionality Reduction
A Behavioral Investigation of Dimensionality Reduction
Groupwise Dimension Reduction via Envelope Method.
Principal manifolds and nonlinear dimensionality reduction via tangent space alignment
a survey of dimension reduction methods for high - dimensional data analysis and visualization .
Dimensionality reduction: A comparative review
A spatio-temporal extension to Isomap nonlinear dimension reduction
Singular Value Decomposition and Principal Component Analysis
Dimensionality Reduction on SPD Manifolds: The Emergence of Geometry-Aware Methods
Manifold Elastic Net: A Unified Framework for Sparse Dimension Reduction
Dimensionality Reduction
Nonlinear Dimensionality Reduction via Path-Based Isometric Mapping
Nonlinear Component Analysis as a Kernel Eigenvalue Problem
Geometric Methods for Feature Extraction and Dimensional Reduction - A Guided Tour
Independent component analysis-based dimensionality reduction with applications in hyperspectral image analysis
Laplacian Eigenmaps for Dimensionality Reduction and Data Representation
Multilinear Spatial Discriminant Analysis for Dimensionality Reduction
A Study on Validating Non-Linear Dimensionality Reduction using Persistent Homology
Approximate Orthogonal Sparse Embedding for Dimensionality Reduction
Dimension Reduction by Local Principal Component Analysis
B-cell exhaustion in HIV infection: the role of immune activation.
Distinct contribution of the cortico-striatal and cortico-cerebellar systems to motor skill learning
Estimating relatedness via data compression
Moving beyond untagging: photo privacy in a tagged world
Nonlinear Component Analysis as a Kernel Eigenvalue Problem