Robust iterative fitting of multilinear models based on linear programming

Keyphrases

• Linear Programming 100%
• Gaussian Noise 100%
• Parallel Factor Analysis 100%
• Multilinear Model 100%
• Iterative Fitting 100%
• Noisy Environment 50%
• Measurement Error 50%
• ESPRIT 50%
• Nuclear Magnetic Resonance 50%
• Processing Model 50%
• Interior Point Method 50%
• Iterative Algorithm 50%
• Least Squares Optimization 50%
• Alternating Least Squares 50%
• Multilinear 50%
• Array Processing 50%
• Joint Diagonalization 50%
• Alternating Least Squares Algorithm 50%
• Fitting Algorithm 50%
• Blind multiuser Detection 50%
• Low-rank Matrix Decomposition 50%
• Least Absolute Error 50%
• Laplacian Noise 50%
• Cauchy Noise 50%
• Multidimensional Harmonic Retrieval 50%

Computer Science

• Least Squares Methods 100%
• Linear Programming 100%
• Gaussian White Noise 100%
• Decomposition Matrix 50%
• Iterative Algorithm 50%
• Interior-Point Method 50%
• Multiuser Detection 50%
• Joint Diagonalization 50%
• Processing Model 50%
• Fitting Algorithm 50%
• Laplace Operator 50%
• Measurement Error 50%
• Information Retrieval 50%

Mathematics

• Least Square 100%
• Parallel Factor Analysis 100%
• Linear Programming 100%
• Random Noise 100%
• Interior Point 50%
• Matrix Decomposition 50%
• Gaussian Distribution 50%
• Square Optimization 50%
• Absolute Error 50%
• Magnetic Resonance 50%
• Laplace Operator 50%
• Measurement Error 50%