Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: Learning a kernel matrix for nonlinear dimensionality reduction
Nonlinear Component Analysis as a Kernel Eigenvalue Problem
Learning the Kernel Matrix with Semi-Definite Programming
1 Spectral Methods for Dimensionality Reduction
Recursive Support Vector Machines for Dimensionality Reduction
Nonlinear dimensionality reduction for visualization
Interactive knowledge-based kernel PCA
Distance Preserving Dimension Reduction for Manifold Learning
A survey of dimensionality reduction techniques based on random projection
Dimensionality Reduction by Learning an Invariant Mapping
Multilinear Spatial Discriminant Analysis for Dimensionality Reduction
Robust kernel isomap
Kernel Principal Component Analysis
learning with kernels .
Principal manifolds and nonlinear dimensionality reduction via tangent space alignment
Non-linear matrix factorization with Gaussian processes
A survey of dimensionality reduction techniques
Random feature maps for dot product kernels
Principal Manifolds and Nonlinear Dimension Reduction via Local Tangent Space Alignment
The Kernel Trick for Distances
Robust Kernel Low-Rank Representation
Flat Miniature Heat Pipes for Electronics Cooling: State of the Art, Experimental and Theoretical Analysis
(68)Ga-labeled radiopharmaceuticals for positron emission tomography.
Time lag characterization of two continuous glucose monitoring systems.
tropane alkaloids as medicinally useful natural products and their synthetic derivatives as new drugs .
A training algorithm for optimal margin classifiers