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Sparse digit recognition SVM

University of LubeckImage classification

Developed by University of Lubeck in 2008, Sparse digit recognition SVM is a image classification model.

About Sparse digit recognition SVM

In this brief paper, we propose a method of feature extraction for digit recognition that is inspired by vision research: a sparse-coding strategy and a local maximum operation. We show that our method, despite its simplicity, yields state-of-the-art

Details

Provider
University of Lubeck
Task
Image classification
Released
2008-11-19
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