Bayesian simultaneous sparse approximation with smooth signals

Keyphrases

• Accurate Localization 50%
• Approximation Problem 50%
• Bayesian Formulation 50%
• Brain Activity 50%
• Closed-form Expression 50%
• Common Sparsity 100%
• EM Algorithm 50%
• Fixed-point Iteration 50%
• Greedy Algorithm 50%
• Greedy Method 50%
• High Correlation 50%
• Latent Vector 50%
• Magnetoencephalography 50%
• Maximizers 50%
• One-based 50%
• Signal-to-noise Ratio 50%
• Simultaneous Sparse Approximation 100%
• Smooth Signal 100%
• Smooth Solution 50%
• Source Localization 50%
• Sparse Bayesian Learning 50%

Computer Science

• Approximation Problem 50%
• Bayesian Learning 50%
• Brain Activity 50%
• closed-form expression 50%
• Fixed Points 50%
• Greedy Algorithm 50%
• High Correlation 50%
• Noise-to-Signal Ratio 50%
• Objective Function 100%
• Point Iteration 50%
• Reconstruction Result 50%
• Source Localization 50%
• Sparse Approximation 100%
• Sparsity 100%

Mathematics

• Approximation Problem 33%
• Bayesian 100%
• Closed Form 33%
• EM Algorithm 33%
• Fixed Point Iteration 33%
• Greedy Algorithm 33%
• Independent Observation 33%
• Maximizer 33%
• Noise Ratio 33%
• Nonzero Row 33%
• Objective Function 66%