Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: Locally Linear Hashing for Extracting Non-linear Manifolds
Sparse Manifold Clustering and Embedding
Supervised hashing with latent factor models
Learning a kernel matrix for nonlinear dimensionality reduction
Dimension Reduction by Local Principal Component Analysis
Curvature-aware Manifold Learning
A spatio-temporal extension to Isomap nonlinear dimension reduction
Randomized Nonlinear Component Analysis
Nonlinear Component Analysis as a Kernel Eigenvalue Problem
Nonlinear Dimensionality Reduction via Path-Based Isometric Mapping
Mapping high dimensional features onto Hilbert curve: Applying to fast image retrieval
Approximate nearest neighbors and the fast Johnson-Lindenstrauss transform
Supervised hashing with kernels
Multilinear Spatial Discriminant Analysis for Dimensionality Reduction
Unsupervised Multi-Manifold Clustering by Learning Deep Representation.
Parametric nonlinear dimensionality reduction using kernel t-SNE
Constrained Laplacian Eigenmap for dimensionality reduction
Deep Learning to Hash with Multiple Representations
Semi-Supervised Hashing for Large-Scale Search
Partial Least Squares for Face Hashing
Fast Supervised Hashing with Decision Trees for High-Dimensional Data
Air Pollution, Health, and Socio-economic Status: The Effect of Outdoor Air Quality on Childhood Asthma
Learning 3D Human Dynamics From Video
The geometry of generalized Pauli operators of N-qudit Hilbert space, and an application to MUBs
Acquiring linear subspaces for face recognition under variable lighting
Industrial Control System Cyber Attacks