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- W2370181682 abstract "In recent years,SVM based on statistical learning theory is showing itself in small sample learning,high dimensionality,globally optimal solution and so on,which is subjected to wide attention of scholars.This paper established digit-recognition system based on sparse SVM and evaluated it with ROC curve algorithm.The 1-norm SVM algorithm was first established,then the sparse classifier,finally ROC curve evaluation and the traditional one was used to evaluate it.The simulation experiment based on UCI database's handwritten numeral image data showed that 1-norm SVM had a good dimension reduction result and kept a high accuracy and increased the robustness of the model." @default.
- W2370181682 created "2016-06-24" @default.
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- W2370181682 date "2011-01-01" @default.
- W2370181682 modified "2023-09-23" @default.
- W2370181682 title "Sparse Support Vector Machines and Its Application to Image Recognision" @default.
- W2370181682 hasPublicationYear "2011" @default.
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