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Adaptfiltlec1
Adaptive Filter Theory
- 2010-11-14 16:55:10下载
- 积分：1
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Sheffield_ga_toolbox
基于MATLAB的遗传算法工具箱，英国Sheffield大学推出的，内容上覆盖GAOT，影响较广，较为完备。( Genetic algorithm toolbox based on matlab was developed by Sheffield University of UK.Because its content covered GAOT, it is used widely.)
- 2011-01-05 17:20:51下载
- 积分：1
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ais
code for matlab for image stéganography
- 2011-04-20 20:18:41下载
- 积分：1
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revise-simulacion-3niveles-ba
simulation bad three level
- 2013-02-08 14:35:16下载
- 积分：1
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EMD
Hilbert-huang变换代码,主要实现HHT变换中EMD分解的Matlab程序，已经通过实际调试，附运行效果bmp图，若参数稍加修改，可对不同信号进行多模态分解。(HHT transform EMD decomposition Matlab program, through the actual commissioning, operating results bmp attached map parameters slightly modified, different signals can be multi-modal decomposition.)
- 2011-10-11 15:34:59下载
- 积分：1
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自适应遗传算法matlab实现
基于自适应的遗传算法求解，比标准遗传算法具有更加良好的解集，收敛性能更好(The solution based on adaptive genetic algorithm has better solution set and better convergence than standard genetic algorithm.)
- 2019-06-04 11:07:40下载
- 积分：1
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SegToolBox
应用MATLAB编写的图像分割程序。分割过程是，图像输入，边缘检测的计算(Applications written in MATLAB image segmentation procedures. Segmentation process, image input, the calculation of edge detection)
- 2010-05-07 20:34:42下载
- 积分：1
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bizhang
对机器人的路径进行规划，实现了机器人的避障运动(Robot path planning, obstacle avoidance robot to achieve movement)
- 2011-05-13 10:17:10下载
- 积分：1
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implementation-of-LDPC-codes
Implementation of LDPC code
- 2013-03-22 13:17:30下载
- 积分：1
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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
- 积分：1
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