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