Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/43188
Title: Handwritten digit recognition with a novel vision model that extracts linearly separable features
Authors: Teow, Loo-Nin 
Loe, Kia-Fock 
Issue Date: 2000
Source: 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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