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Barker
barker码产生的源程序，用matlab编写而成(err)
- 2007-12-28 16:26:00下载
- 积分：1
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F_Borda
说明： 模糊数学中的波达排序，还有模糊聚类分析的MATLAB源代码(Borda sort,Fuzzy Cluster Analysis)
- 2010-04-23 17:49:31下载
- 积分：1
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874583673dianqiceliang
电器测量的的simulink模型，以及M源文件，希望对你有帮助！(the simulink model and M source file of Electrical measurement ，I hope it can help you!
)
- 2011-05-05 10:35:38下载
- 积分：1
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BN_num
number of Bayesian networks
- 2013-05-11 20:40:52下载
- 积分：1
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111
利用windows提供的API中GetSystemFirmwareTable function
读取SMBIOS中的信息(Use the API provided GetSystemFirmwareTable function windows
Read SMBIOS information)
- 2015-03-30 14:55:29下载
- 积分：1
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Desktop
matlab图像处理常用程序：线性变换、非线性变换、图像锐化、边界追踪、中值滤波器(matlab image processing program used: linear transformation, a nonlinear transformation, median filter, boundary tracking, image sharpening)
- 2015-04-14 11:31:32下载
- 积分：1
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MATLABStatistical
本章介绍MATLAB在概率统计中的若干命令和使用格式，这些命令存放于MatlabR12ToolboxStats中。(This chapter describes the MATLAB in probability and statistics in a number of commands and use format, these commands stored in MatlabR12 Toolbox Stats in.)
- 2010-05-14 09:40:39下载
- 积分：1
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pc_cfr_v2_0_msim_r2_0
Xilinx公司pc_cfr IP核的MatLab仿真(matlab simulation model of pc_cfr ip core of xilinx)
- 2010-11-25 09:20:29下载
- 积分：1
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signal_analyszer
信号分析程序，对信号进行分析处理。。。。(Signal analysis procedures for the analysis of signal processing)
- 2009-06-29 12:38:48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
