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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 476–500 of 796 papers

TitleStatusHype
Multi-modal Disease Classification in Incomplete Datasets Using Geometric Matrix Completion—0
Non-Convex Matrix Completion Against a Semi-Random Adversary—0
Tensor graph convolutional neural network—0
Leave-one-out Approach for Matrix Completion: Primal and Dual Analysis—0
Approximate Method of Variational Bayesian Matrix Factorization/Completion with Sparse Prior—0
Binary Matrix Completion Using Unobserved Entries—0
Deep Models of Interactions Across SetsCode0
Fast and Sample Efficient Inductive Matrix Completion via Multi-Phase Procrustes FlowCode0
Matrices with Gaussian noise: optimal estimates for singular subspace perturbation—0
Convolutional Geometric Matrix Completion—0
Smoothed analysis for low-rank solutions to semidefinite programs in quadratic penalty form—0
Static and Dynamic Robust PCA and Matrix Completion: A Review—0
Sequence-Aware Recommender SystemsCode0
Structured low-rank matrix completion for forecasting in time series analysis—0
Nonparametric Estimation of Low Rank Matrix Valued Function—0
Learning Latent Features with Pairwise Penalties in Low-Rank Matrix Completion—0
Active Feature Acquisition with Supervised Matrix Completion—0
Large-Scale Sparse Inverse Covariance Estimation via Thresholding and Max-Det Matrix Completion—0
Matrix completion with deterministic pattern - a geometric perspective—0
NGS Based Haplotype Assembly Using Matrix CompletionCode0
Matrix Completion for Structured Observations—0
Matrix Completion with Nonconvex Regularization: Spectral Operators and Scalable Algorithms—0
Indian Regional Movie Dataset for Recommender SystemsCode0
CAYLEYNETS: SPECTRAL GRAPH CNNS WITH COMPLEX RATIONAL FILTERS—0
Differentially Private Matrix Completion Revisited—0
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