Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: The Stability of Kernel Principal Components Analysis and its Relation to the Process Eigenspectrum
Nonlinear Component Analysis as a Kernel Eigenvalue Problem
Principal Component Analysis by $L_{p}$ -Norm Maximization
Interactive knowledge-based kernel PCA
Compressive-Projection Principal Component Analysis
Robust Principal Component Analysis Based on Maximum Correntropy Criterion
Robust multilinear principal component analysis
Sparse principal component analysis via regularized low rank matrix approximation
Robust principal component analysis with side information
A randomized algorithm for principal component analysis
A TUTORIAL ON PRINCIPAL COMPONENT ANALYSIS Derivation, Discussion and Singular Value Decomposition
Partial Sum Minimization of Singular Values in Robust PCA: Algorithm and Applications
Principal Component Analysis
Background Recovery by Fixed-Rank Robust Principal Component Analysis
Online Robust PCA via Stochastic Optimization
R1-PCA: rotational invariant L1-norm principal component analysis for robust subspace factorization
Robust principal component analysis based on low-rank and block-sparse matrix decomposition
Kernel PCA and De-Noising in Feature Spaces
ROBPCA: a New Approach to Robust Principal Component Analysis
Complexity Theoretic Lower Bounds for Sparse Principal Component Detection
EM Algorithms for PCA and SPCA
Multi-class object tracking algorithm that handles fragmentation and grouping
Cross-Language Text Classification Using Structural Correspondence Learning
Foreign Body Inclusion Cyst of the Nasal Radix after Augmentation Rhinoplasty
The Nature of Statistical Learning Theory
Between-Class Learning for Image Classification