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手写数字数据集的光学识别

手写数字数据集的光学识别

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Computer Classification

Data Set Information:我们使用NIST提供的预处理程序从预打印表单中提取手写数字的规范化位图。在总共43人中,30人参加了培训,1......

数据结构 ? 567K

    Data Structure ?

    * 以上分析是由系统提取分析形成的结果,具体实际数据为准。

    README.md

    Data Set Information:

    我们使用NIST提供的预处理程序从预打印表单中提取手写数字的规范化位图。在总共43人中,30人参加了培训,13人参加了测试。32x32位图被划分为4x4的非重叠块,每个块中的on像素数被计数。这将生成8x8的输入矩阵,其中每个元素都是0..16范围内的整数。这降低了维数,并使小变形保持不变性。


    For info on NIST preprocessing routines, see M. D. Garris, J. L. Blue, G. T. Candela, D. L. Dimmick, J. Geist, P. J. Grother, S. A. Janet, and C. L. Wilson, NIST Form-based Handprint Recognition System, NISTIR 5469, 1994.


    Attribute Information:

    All input attributes are integers in the range 0..16.
    The last attribute is the class code 0..9


    Relevant Papers:

    C. Kaynak (1995) Methods of Combining Multiple Classifiers and Their Applications to Handwritten Digit Recognition, MSc Thesis, Institute of Graduate Studies in Science and Engineering, Bogazici University.
    [Web link]

    E. Alpaydin, C. Kaynak (1998) Cascading Classifiers, Kybernetika. [Web link]
    [Web link]


    Papers That Cite This Data Set1:


    Ken Tang and Ponnuthurai N. Suganthan and Xi Yao and A. Kai Qin. Linear dimensionalityreduction using relevance weighted LDA. School of Electrical and Electronic Engineering Nanyang Technological University. 2005.  [View Context].

    Claudio Gentile. A New Approximate Maximal Margin Classification Algorithm. NIPS. 2000.  [View Context].

    Stephen D. Bay. Nearest neighbor classification from multiple feature subsets. Intell. Data Anal, 3. 1999.  [View Context].

    Ethem Alpaydin. Combined 5 x 2 cv F Test for Comparing Supervised Classification Learning Algorithms. Neural Computation, 11. 1999.  [View Context].

    Erick Cantú-Paz and Chandrika Kamath. Using Evolutionary Algorithms to Induce Oblique Decision Trees. Center for Applied Scientific Computing Lawrence Livermore National Laboratory.  [View Context].

    Ayhan Demiriz and Kristin P. Bennett and John Shawe and I. Nouretdinov V.. Linear Programming Boosting via Column Generation. Dept. of Decision Sciences and Eng. Systems, Rensselaer Polytechnic Institute.  [View Context].

    Citation Request:

    Please refer to the Machine Learning Repository's citation policy


    E. Alpaydin, C. Kaynak
    Department of Computer Engineering
    Bogazici University, 80815 Istanbul Turkey
    alpaydin '@' boun.edu.tr

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