Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents a method to speed up support vec- tor classification, especially important when data is high- dimensional. Unlike previous approaches which focus on less support vectors,  partition the data space into lo- cal regions, and perform approximation by linear functions. The experimental results on 31 datasets show that the per- formance degrades marginally, while the speedup is signif- icant, up to three orders of magnitude.
['Thang V. Pham', 'Arnold W. M. Smeulders']
I am writing a research paper on a idea Metric tree partitioning and Taylor approximation for fast support vector classification
[{"from": "human", "value": "I am writing a research paper on a idea Metric tree partitioning and Taylor approximation for fast support vector classification"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents a method to speed up support vec- tor classification, especially important when data is high- dimensional. Unlike previous approaches which focus on less support vectors,  partition the data space into lo- cal regions, and perform approximation by linear functions. The experimental results on 31 datasets show that the per- formance degrades marginally, while the speedup is signif- icant, up to three orders of magnitude."}]