Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In this letter,  employ the sparse Bayesian multitask learning to realize joint sparsity-enforcing polarimetric inverse scattering. The prior assumption about the data model is redesigned to avoid information sharing across unrelated tasks. Based on this assumption,  provide the formulas for Bayesian inference as ll as the algorithm flowchart, which still has the linear complexity. Experimental results demonstrate that polarimetric inverse scattering with the proposed method can effectively extract the characteristics of canonical scatterers.
['Zenghui Li', 'Bin Xu', 'Jian Yang']
I am writing a research paper on a idea Polarimetric Inverse Scattering via Incremental Sparse Bayesian Multitask Learning
[{"from": "human", "value": "I am writing a research paper on a idea Polarimetric Inverse Scattering via Incremental Sparse Bayesian Multitask Learning"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In this letter,  employ the sparse Bayesian multitask learning to realize joint sparsity-enforcing polarimetric inverse scattering. The prior assumption about the data model is redesigned to avoid information sharing across unrelated tasks. Based on this assumption,  provide the formulas for Bayesian inference as ll as the algorithm flowchart, which still has the linear complexity. Experimental results demonstrate that polarimetric inverse scattering with the proposed method can effectively extract the characteristics of canonical scatterers."}]