Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: This work evaluates a new semi-supervised classification framework based on kernel methods and graph theory. In particular, the support vector machine (SVM) is further regularized with the un-normalized graph Laplacian, thus leading to the proposed Laplacian SVM. The method is tested in the challenging problem of cloud screening where the objective is to identify clouds in multispectral images acquired by space-borne sensors working in the visible and near-infrared spectral range. Preliminary results obtained using MERIS/ENVISAT data show the potential of the proposed Laplacian SVM in several scenarios.
['Luis Gomez-Chova', 'G. Camps-Vails', 'Jordi Muñoz-Marí', 'Javier Calpe']
I am writing a research paper on a idea Semi-supervised cloud screening with Laplacian SVM
[{"from": "human", "value": "I am writing a research paper on a idea Semi-supervised cloud screening with Laplacian SVM"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: This work evaluates a new semi-supervised classification framework based on kernel methods and graph theory. In particular, the support vector machine (SVM) is further regularized with the un-normalized graph Laplacian, thus leading to the proposed Laplacian SVM. The method is tested in the challenging problem of cloud screening where the objective is to identify clouds in multispectral images acquired by space-borne sensors working in the visible and near-infrared spectral range. Preliminary results obtained using MERIS/ENVISAT data show the potential of the proposed Laplacian SVM in several scenarios."}]