Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper
Query: Complexity Theoretic Lower Bounds for Sparse Principal Component Detection
A direct formulation for sparse PCA using semidefinite programming
R1-PCA: rotational invariant L1-norm principal component analysis for robust subspace factorization
The Restricted Isometry Property and Its Implications for Compressed Sensing
Greed is good: algorithmic results for sparse approximation
Analyzing the group sparsity based on the rank minimization methods
Probabilistic Principal Component Analysis
Principal component analysis: a review and recent developments
Guaranteed Rank Minimization via Singular Value Projection
EM Algorithms for PCA and SPCA
Information-theoretic limits on sparsity recovery in the high-dimensional and noisy setting
Kernel Principal Component Analysis
Robust Principal Component Analysis Based on Maximum Correntropy Criterion
The Stability of Kernel Principal Components Analysis and its Relation to the Process Eigenspectrum
Structured low-rank approximation and its applications
A TUTORIAL ON PRINCIPAL COMPONENT ANALYSIS Derivation, Discussion and Singular Value Decomposition
Optimal exact least squares rank minimization
Dimension Reduction by Local Principal Component Analysis
A Review of Sparse Recovery Algorithms
Bayesian maximum margin principal component analysis
Fast Stochastic Algorithms for SVD and PCA: Convergence Properties and Convexity
An Architecture to Accelerate Convolution in Deep Neural Networks
Cones of matrices and set-functions and 0-1 optimization
An EMG Interface for the Control of Motion and Compliance of a Supernumerary Robotic Finger
A Dual-Band Metasurface Antenna Using Characteristic Mode Analysis
Deep water ROV design for the Mexican oil industry