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|Title:||Handwritten digit recognition with a novel vision model that extracts linearly separable features||Authors:||Teow, Loo-Nin
|Issue Date:||2000||Citation:||Teow, Loo-Nin,Loe, Kia-Fock (2000). Handwritten digit recognition with a novel vision model that extracts linearly separable features. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2 : 76-81. ScholarBank@NUS Repository.||Abstract:||We use well-established results in biological vision to construct a novel vision model for handwritten digit recognition. We show empirically that the features extracted by our model are linearly separable over a large training set (MNIST). Using only a linear classifier on these features, our model is relatively simple yet outperforms other models on the same data set.||Source Title:||Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition||URI:||http://scholarbank.nus.edu.sg/handle/10635/43188||ISSN:||10636919|
|Appears in Collections:||Staff Publications|
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