Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  propose a pre-selection method for training support vector machines (SVM) with a large-scale dataset. Specifically, the proposed method selects patterns around the class boundary and the selected data is fed to train an SVM. For the selection, that is, searching for boundary patterns,  utilize a relative neighborhood graph (RNG). An RNG has an edge for each pair of neighboring patterns and thus,  can find boundary patterns by looking for edges connecting patterns from different classes. Through large-scale handwritten digit pattern recognition experiments,  show that the proposed pre-selection method accelerates SVM training process 5–15 times faster without degrading recognition accuracy.
['Masanori Goto', 'Ryosuke Ishida', 'Seiichi Uchida']
I am writing a research paper on a idea Preselection of support vector candidates by relative neighborhood graph for large-scale character recognition
[{"from": "human", "value": "I am writing a research paper on a idea Preselection of support vector candidates by relative neighborhood graph for large-scale character recognition"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  propose a pre-selection method for training support vector machines (SVM) with a large-scale dataset. Specifically, the proposed method selects patterns around the class boundary and the selected data is fed to train an SVM. For the selection, that is, searching for boundary patterns,  utilize a relative neighborhood graph (RNG). An RNG has an edge for each pair of neighboring patterns and thus,  can find boundary patterns by looking for edges connecting patterns from different classes. Through large-scale handwritten digit pattern recognition experiments,  show that the proposed pre-selection method accelerates SVM training process 5\u201315 times faster without degrading recognition accuracy."}]