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Scale-invariant feature transform (SIFT) algorithm has been successfully applied to object recognition and to image feature extraction, which is a major application in the field of image processing. Nonetheless, the SIFT algorithm has not been solved effectively in practical applications that requires real-time performance, much calculation, and high storage capacity given the framework level and...
Most methods for multiclass objects learning have large computational complexity and samples scale complexity. In this paper, within the framework of boosting, we propose a novel method called JointBoosting-GA. It is suitable to all datasets from small to very large, and results in a much faster classifier at run time. To achieve it, we combine two ideas: 1) Firstly, we introduce a novel technique,...
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