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SVM
In this paper, we show how support vector machine (SVM) can be
employed as a powerful tool for $k$-nearest neighbor (kNN)
classifier. A novel multi-class dimensionality reduction approach,
Discriminant Analysis via Support Vectors (SVDA), is introduced by
using the SVM. The kernel mapping idea is used to derive the
non-linear version, Kernel Discriminant via Support Vectors (SVKD).
In SVDA, only support vectors are involved to obtain the
transformation matrix. Thus, the computational complexity can be
greatly reduced for kernel based feature extraction. Experiments
carried out on several standard databases show a clear improvement
on LDA-based recognition
- 2010-02-20 01:10:17下载
- 积分:1
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sfmvq
multiple vector quantization watermarking
- 2011-02-07 12:59:36下载
- 积分:1
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matlab
说明: 这是一个利用matlab编写的关于目标检测的仿真程序(This is a prepared using matlab simulation program on the target detection)
- 2011-03-16 18:09:53下载
- 积分:1
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Lab35
数字图像处理中基于MATLAB的车牌号识别(License plate number recognition)
- 2013-11-08 11:05:38下载
- 积分:1
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yansheGUI
这是一个用GUI,模拟单缝衍射(两种,并可以设置参数),光强分布的程序代码(this is a GUI simulation of single slit diffraction (two kinds, and can set the parameters), the intensity distribution of the program code)
- 2013-04-23 17:26:11下载
- 积分:1
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space_vector_3_level_gen_algo
space vector pulse wide mudulation for inverter
- 2011-12-20 19:28:23下载
- 积分:1
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LBP
LBP特征提取的MATLAB实现,其getmapping.m定义了lbp三种不同的模式,而lbp.m则是lbp的实现,当然它只是简单的整幅图像的lbp变换(没有分区域),其中很巧妙地运用了整体移动的方法计算lbp值。(LBP feature extraction MATLAB, which getmapping.m defines lbp three different modes, while lbp.m is lbp realize, of course, it simply lbp transform the whole image (no sub-region), which is very clever use of the method of calculating the overall mobile lbp value.)
- 2014-04-08 08:37:50下载
- 积分:1
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cdma
matlab code for cdma
- 2009-07-11 22:46:46下载
- 积分:1
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rgbled
基于led数学模型的建立rgbled的光谱仿真模型程序(Led the establish rgbled of the mathematical model spectrum-based simulation model program)
- 2013-01-11 15:40:19下载
- 积分:1
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Matlab-Primer_8Ed_2011
Matlab Primer language 2011
- 2011-05-22 13:25:38下载
- 积分:1