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gene

于 2011-05-23 发布 文件大小:2KB
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  完整的遗传算法函数Matlab程序,供交流学习(The complete function of Matlab procedure genetic algorithm)

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  • tongxinfangzhen
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    2010-04-29 16:59:51下载
    积分:1
  • TCM
    卫星通信系统格状编码调制,附有详细文档和源码(Satellite communication systems trellis coded modulation, with detailed documentation and source code)
    2007-11-14 14:54:27下载
    积分:1
  • Least-squares-fit-of-ellipse
    用此方法拟合椭圆,方法简单,运算量较小,很适合计算机变成实现。(fast ellipse fitting)
    2011-06-23 10:01:06下载
    积分:1
  • EntropyWeight
    matlab编写的熵权代码,很实用的东西(Entropy matlab code written, very practical things)
    2013-11-28 22:43:31下载
    积分:1
  • guidedfilter
    kaiming he的guided image filtering的c++代码,利用VS2010+OPENCV2.4.4实现,效果和公布的MATLAB代码相同。(C++ code for KaiMing He s guided image filtering, the result as same as matlab code which publish in the web, project is code via VS2010+OPENCV2.4.4.)
    2013-12-15 21:38:35下载
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  • 01-oqpsk
    信号处理与分析,信道仿真,模型构建与验证,信道测试,(Analysis and processing, signal channel simulation, construction and validation of the model, channel test,)
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    2016-06-05 14:58:41下载
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  • Wiener_weinanupo
    这个matlab代码是用维纳滤波得到的运动场。(The motion field is obtained from Wiener filtering in matlab code.)
    2010-07-14 13:15:46下载
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  • gender
    Photos with people (e.g., family, friends, celebrities, etc.) are the major interest of users. Thus, with the exponentially growing photos, large-scale content-based face image retrieval is an enabling technology for many emerging applications. In this work, we aim to utilize automatically detected human attributes that contain semantic cues of the face photos to improve contentbased face retrieval by constructing semantic codewords for efficient large-scale face retrieval. By leveraging human attributes in a scalable and systematic framework, we propose two orthogonal methods named attribute-enhanced sparse coding and attributeembedded inverted indexing to improve the face retrieval in the offline and online stages. We investigate the effectiveness of different attributes and vital factors essential for face retrieval. Experimenting on two public datasets, the results show that theproposed methods can achieve up to 43.5 relative improvement in MAP compared to the existing methods.
    2013-11-20 00:42:07下载
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    2020-07-15 09:38:50下载
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