A multi-task sparse feature learning method for underwater acoustic target recognition based on two uniform linear hydrophone arrays

Engineering

• Target Recognition 100%
• Sparse Bayesian Learning 100%
• Frequency Spectrum 66%
• Multiple Observation 66%
• Classification Performance 33%
• Learning Task 33%
• Sparsity 33%
• Classification Accuracy 33%
• Line Spectra 33%
• Classification Task 33%

Computer Science

• Structured Block 33%
• Actual Measurement 33%