Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper
Query: A Novel Riemannian Metric Based on Riemannian Structure and Scaling Information for Fixed Low-Rank Matrix Completion
Exact Matrix Completion via Convex Optimization
Structured Low-Rank Matrix Factorization: Optimality, Algorithm, and Applications to Image Processing
Tractable and Scalable Schatten Quasi-Norm Approximations for Rank Minimization
Rank-Sparsity Incoherence for Matrix Decomposition
Matrix Completion on Graphs
Expert Finding for Question Answering via Graph Regularized Matrix Completion
Sublinear Time Low-Rank Approximation of Positive Semidefinite Matrices
Ridge Leverage Scores for Low-Rank Approximation.
A nonconvex optimization framework for low rank matrix estimation
Weighted Low-Rank Approximations
Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization
Colorization by patch-based local low-rank matrix completion
Fast Low-Rank Matrix Learning with Nonconvex Regularization
Provable Low-Rank Tensor Recovery
Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Matrices via Convex Optimization
Tensor theta norms and low rank recovery
Active Matrix Completion
A Riemannian Network for SPD Matrix Learning
Adaptive Sampling and Fast Low-Rank Matrix Approximation
Top-N Recommender System via Matrix Completion
Low Complexity Multiply Accumulate Unit for Weight-Sharing Convolutional Neural Networks
Antigen presentation in the thymus for positive selection and central tolerance induction
A rank minimization heuristic with application to minimum order system approximation
Feature Transfer Learning for Deep Face Recognition with Long-Tail Data
An information security knowledge sharing model in organizations