Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: Shrinkage Algorithms for MMSE Covariance Estimation
A Shrinkage Approach to Large-Scale Covariance Matrix Estimation and Implications for Functional Genomics
A nonconvex optimization framework for low rank matrix estimation
Gradient descent with sparsification: an iterative algorithm for sparse recovery with restricted isometry property
On Matching Pursuit and Coordinate Descent
Message Passing Algorithms for Compressed Sensing
Maximum Correntropy Kalman Filter
Space-Alternating Generalized Expectation-Maximization Algorithm
A Review of Sparse Recovery Algorithms
Low-Complexity MMSE Precoding for Coordinated Multipoint With Per-Antenna Power Constraint
Statistical Convergence of the EM Algorithm on Gaussian Mixture Models
Iterative Synchronization: EM Algorithm Versus Newton-Raphson Method
Iteratively re-weighted least squares minimization for sparse recovery
Covariance Tracking using Model Update Based on Lie Algebra
An Empirical Bayesian Strategy for Solving the Simultaneous Sparse Approximation Problem
Unbiased MMSE-Based Noise Power Estimation With Low Complexity and Low Tracking Delay
Compressive sensing: Performance comparison of sparse recovery algorithms
Bayesian Inference for a Covariance Matrix
The Kernel Least-Mean-Square Algorithm
Bivariate Shrinkage Functions for Wavelet-Based Denoising Exploiting Interscale Dependency
TR 0707 A Fixed-Point Continuation Method for ` 1-Regularized Minimization with Applications to Compressed Sensing
Ridge regression: biased estimation for nonorthogonal problems
Broad Learning System: An Effective and Efficient Incremental Learning System Without the Need for Deep Architecture
Temporal database management: Temporal registration
Introduction to Visualization for Computer Security
CD30-positive cutaneous lymphoma: report of four cases with an emphasis on clinicopathological correlations*