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Matrix Completion

Matrix Completion is a method for recovering lost information. It originates from machine learning and usually deals with highly sparse matrices. Missing or unknown data is estimated using the low-rank matrix of the known data.

Source: A Fast Matrix-Completion-Based Approach for Recommendation Systems

Papers

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Showing 226–250 of 796 papers

TitleStatusHype
Advancing Matrix Completion by Modeling Extra Structures beyond Low-Rankness—0
A Characterization of Deterministic Sampling Patterns for Low-Rank Matrix Completion—0
A Block Lanczos with Warm Start Technique for Accelerating Nuclear Norm Minimization Algorithms—0
Deep Non-Rigid Structure from Motion with Missing Data—0
Efficient Rigid Body Localization based on Euclidean Distance Matrix Completion for AGV Positioning under Harsh Environment—0
Empirical Bayes Matrix Completion—0
Energy-modified Leverage Sampling for Radio Map Construction via Matrix Completion—0
Enhancing Parameter-Free Frank Wolfe with an Extra Subproblem—0
Ensemble Methods for Causal Effects in Panel Data Settings—0
Background Subtraction via Fast Robust Matrix Completion—0
Entry-Specific Matrix Estimation under Arbitrary Sampling Patterns through the Lens of Network Flows—0
Deeply Learned Robust Matrix Completion for Large-scale Low-rank Data Recovery—0
Error-Minimizing Estimates and Universal Entry-Wise Error Bounds for Low-Rank Matrix Completion—0
Automotive Radar Sensing with Sparse Linear Arrays Using One-Bit Hankel Matrix Completion—0
Convergence of the majorized PAM method with subspace correction for low-rank composite factorization model—0
Estimation of Missing Data in Intelligent Transportation System—0
Euclidean Distance Matrix Completion via Asymmetric Projected Gradient Descent—0
Deep Linear Networks for Matrix Completion -- An Infinite Depth Limit—0
Exact Reconstruction of Euclidean Distance Geometry Problem Using Low-rank Matrix Completion—0
Deep Learning Framework for Detecting Ground Deformation in the Built Environment using Satellite InSAR data—0
Exact tensor completion with sum-of-squares—0
Multi-target prediction for dummies using two-branch neural networks—0
Exploring Algorithmic Limits of Matrix Rank Minimization under Affine Constraints—0
Exponential Family Matrix Completion under Structural Constraints—0
Deep Learning Approach for Matrix Completion Using Manifold Learning—0
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