9 August 2018 Support vectors classification method based on projection vector boundary feature
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Proceedings Volume 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018); 108060E (2018) https://doi.org/10.1117/12.2503318
Event: Tenth International Conference on Digital Image Processing (ICDIP 2018), 2018, Shanghai, China
Abstract
A support vectors classification Method Based on projection vector boundary feature is proposed. According to statistical theory and normal distribution characteristics in one-dimensional space, the proposed algorithm introduces a new definition of the margin, objective function is constructed in high-dimensional space, through solving the objective function, and projection line is obtained. After the training samples are projected to the line , we construct boundary vector sets in one-dimensional space, which are used to train support vector machine(SVM). Experiments on two artificial data sets and UCI standard data set show that the proposed method is effective.
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Yaqin Guo, Yaqin Guo, Xin Song, Xin Song, } "Support vectors classification method based on projection vector boundary feature", Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 108060E (9 August 2018); doi: 10.1117/12.2503318; https://doi.org/10.1117/12.2503318
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