Engineering
Gaussian Mixture Model
100%
Compressive Sensing
100%
Marginals
40%
Signal Model
40%
Random Variable ξ
20%
Experimental Result
20%
State-of-the-Art Method
20%
Mean-Squared-Error
20%
Image Inpainting
20%
Demonstrates
20%
Obtains
20%
Closed Form
20%
Covariance Matrix
20%
Computer Science
Compressive Sensing
100%
Gaussian Mixture Model
100%
Marginal Likelihood
40%
Random Variable
20%
Linear Measurement
20%
Reconstruction Error
20%
Training Signal
20%
Hyperspectral Imaging
20%
Image Inpainting
20%
Experimental Result
20%
Covariance Matrix
20%
Mathematics
Gaussian Mixture Model
100%
Marginal Likelihood
40%
Likelihood Estimator
40%
Covariance Matrix
20%
Closed Form
20%
Random Variable
20%
Squared Error
20%
Keyphrases
Maximum Marginal Likelihood
40%
Error Reconstruction
20%