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@inproceedings{bb237702,
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        TITLE = "Evolving Node Transfer Functions in Artificial Neural Networks for
Handwritten Digits Recognition",
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@inproceedings{bb237703,
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        TITLE = "3D Object Recognition Based on Volumetric Representation Using
Convolutional Neural Networks",
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@inproceedings{bb237704,
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for handwritten numeral",
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@inproceedings{bb237705,
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handwritten digit recognition",
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@inproceedings{bb237706,
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        TITLE = "Mixed handwritten and printed digit recognition in Sudoku with
Convolutional Deep Belief Network",
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@inproceedings{bb237707,
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recognition",
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@inproceedings{bb237708,
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@inproceedings{bb237709,
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        TITLE = "Handwritten Digit Recognition Based on Pooling SVM-Classifiers Using
Orientation and Concavity Based Features",
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@inproceedings{bb237710,
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Unbalanced Decision Trees",
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@inproceedings{bb237711,
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@inproceedings{bb237712,
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        TITLE = "Voronoi Tessellation for Effective and Efficient Handwritten Digit
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@inproceedings{bb237713,
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@inproceedings{bb237714,
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Occluded Handwritten Digit Recognition",
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@inproceedings{bb237715,
        AUTHOR = "Sermanet, P. and Chintala, S. and LeCun, Y.",
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@inproceedings{bb237716,
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knowledge of the digital video clock",
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@inproceedings{bb237717,
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Digit Recognition",
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@inproceedings{bb237718,
        AUTHOR = "Barbuzzi, D. and Impedovo, D. and Pirlo, G.",
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@inproceedings{bb237721,
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@inproceedings{bb237724,
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@inproceedings{bb237725,
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@inproceedings{bb237726,
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@inproceedings{bb237727,
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Application to MNIST Handwritten Digit Database",
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@inproceedings{bb237728,
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Chain Codes and Abductive Network Classifiers",
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@inproceedings{bb237729,
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Historical Collection",
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@inproceedings{bb237730,
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Application to Handwritten Numeral Recognition",
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@inproceedings{bb237732,
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@inproceedings{bb237733,
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Touching Numeral Pairs",
        BOOKTITLE = CAIP09,
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@inproceedings{bb237734,
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        TITLE = "Robust time recognition of video clock based on digit transition
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@inproceedings{bb237735,
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@inproceedings{bb237736,
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Digits Database",
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@inproceedings{bb237737,
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Numerals by Using Difference Features",
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@inproceedings{bb237738,
        AUTHOR = "Chen, X.F. and Liu, X.B. and Jia, Y.D.",
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Gaussian Mixture Models for Handwritten Digit Recognition",
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@inproceedings{bb237739,
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@inproceedings{bb237740,
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Digit Pattern Recognition",
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@inproceedings{bb237741,
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@inproceedings{bb237742,
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@inproceedings{bb237744,
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@inproceedings{bb237745,
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        AUTHOR = "Ng, G.S. and Murali, T. and Wahab, A. and Sriskanthan, N.",
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@inproceedings{bb237747,
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@inproceedings{bb237748,
        AUTHOR = "Yamaguchi, T. and Nakano, Y. and Maruyama, M. and Miyao, H. and Hananoi, T.",
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@inproceedings{bb237749,
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        AUTHOR = "Muramatsu, H. and Kobayashi, T. and Sugiyama, T. and Abe, K.",
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@inproceedings{bb237751,
        AUTHOR = "Kobayashi, T. and Nakamura, K. and Muramatsu, H. and Sugiyama, T. and Abe, K.",
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learning of stroke statistics",
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@inproceedings{bb237752,
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@inproceedings{bb237756,
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@inproceedings{bb237757,
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@inproceedings{bb237759,
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@inproceedings{bb237760,
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@inproceedings{bb237762,
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@inproceedings{bb237763,
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@inproceedings{bb237764,
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