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Noisy Matrix Completion under Sparse Factor Models
Akshay Soni
, Swayambhoo Jain
,
Jarvis D Haupt
,
Stefano Gonella
Electrical and Computer Engineering
Civil, Environmental, and Geo- Engineering
Research output
:
Contribution to journal
›
Article
›
peer-review
27
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Scopus citations
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Keyphrases
Matrix Completion
100%
Noise Matrix
100%
Sparse Factor Models
100%
Sparsity
50%
Corruption
50%
Random Noise
50%
Poisson
50%
Dictionary Learning
50%
Sparse Dictionary
50%
Sparse Modeling
50%
Maximum Likelihood Estimator
50%
Error Analysis
50%
Algorithmic Approach
50%
Learning Task
50%
Noise Model
50%
Additive White Gaussian Noise
50%
Regularized Maximum Likelihood
50%
Observation Noise
50%
Clustering Applications
50%
Completion Task
50%
Subspace Clustering
50%
Estimation Error Bound
50%
Laplace Noise
50%
Corruption Model
50%
Distributed Observation
50%
Modeling Learning
50%
Alternating Direction Method of multipliers
50%
Computer Science
Sparsity
100%
Dictionary Learning
100%
Experimental Evidence
100%
Task Completion
100%
Algorithmic Approach
100%
maximum-likelihood
100%
Alternating Direction Method of Multipliers
100%
Estimation Error
100%
Structural Model
100%
Gaussian White Noise
100%
Mathematics
Matrix
100%
Complete Matrix
100%
Random Noise
66%
Maximum Likelihood Estimator
33%
Error Bound
33%
Error Analysis
33%
Learning Task
33%
Alternating Direction Method of Multipliers
33%
Structural Model
33%