Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Generalized Principal Component Analysis (GPCA)
Probabilistic Principal Component Analysis
Feature Selection Using Principal Component Analysis
Supervised principal component analysis: Visualization, classification and regression on subspaces and submanifolds
A direct formulation for sparse PCA using semidefinite programming
Contrastive Principal Component Analysis
Partial Sum Minimization of Singular Values in Robust PCA: Algorithm and Applications
Independent vector analysis: an extension of ICA to multivariate components
Robust Principal Component Analysis with Complex Noise
R1-PCA: rotational invariant L1-norm principal component analysis for robust subspace factorization
Cluster Canonical Correlation Analysis
Quantum Principal Component Analysis
Nonlinear Autoassociation Is Not Equivalent to PCA
FF-SKPCCA: Kernel probabilistic canonical correlation analysis
MPCA: Multilinear Principal Component Analysis of Tensor Objects
Robust sparse canonical correlation analysis
Fantope Projection and Selection: A near-optimal convex relaxation of sparse PCA
Bayesian maximum margin principal component analysis
The biplot graphic display of matrices with application to principal component analysis
A new ranking method for principal components analysis and its application to face image analysis
iPCA: An Interactive System for PCA-based Visual Analytics
Oblique Lateral Lumbar Interbody Fusion (OLLIF): Technical Notes and Early Results of a Single Surgeon Comparative Study
Experiences in Hardware Trojan design and implementation
A social graph based text mining framework for chat log investigation
application of the karhunen - loeve procedure for the characterization of human faces .
Loss Functions for Multiset Prediction