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PCAPSVM
PCA+SVM用于人脸识别,,很好用,,有详细注释(PCA+SVM for face recognition, and useful, detailed notes)
- 2013-01-03 11:53:37下载
- 积分:1
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kass
kass active contour, this program use an image which is a flower for example and use the kass algorithm to find the border of the image
- 2012-10-03 15:18:56下载
- 积分:1
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xindian
采集单通道心电数据后量化,编码,并在屏幕上显示出来(Single-channel ECG data acquisition after the quantization, coding, and displayed on the screen)
- 2009-03-21 10:39:26下载
- 积分:1
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genetic-annealing-algorithm
matlab常用算法,遗传退火算法,源程序(matlab commonly used algorithm, genetic annealing algorithm, source code)
- 2012-05-02 13:11:08下载
- 积分:1
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log-gabor
log-gabor用于年龄变化的人脸重构,效果很好(log-gabor)
- 2009-05-30 10:49:02下载
- 积分:1
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MATLABfacegaborprotected
Face Recognition Based on Local Features
- 2012-05-25 17:35:44下载
- 积分:1
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jacobi
在Matlab下,实现jacob滤波算法,非常实用(In Matlab, to achieve jacob filtering algorithm is very practical)
- 2011-09-30 16:05:06下载
- 积分:1
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cp0102_sinpulse_one
Generates a pulse with length Tp ,which is composed of Nc cycles of a sinusoidal waveform sinpulse is the waveform representing the pulse
- 2014-01-31 16:36:25下载
- 积分:1
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KELI
二维不规则颗粒随机分布模型的MATLAB程序,变形颗粒试件创建程序。(Deformation particle test procedure)
- 2020-11-24 09:49:32下载
- 积分:1
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BFGS
拟牛顿法和最速下降法(Steepest Descent Methods)一样只要求每一步迭代时知道目标函数的梯度。通过测量梯度的变化,构造一个目标函数的模型使之足以产生超线性收敛性。这类方法大大优于最速下降法,尤其对于困难的问题。另外,因为拟牛顿法不需要二阶导数的信息,所以有时比牛顿法(Newton s Method)更为有效。如今,优化软件中包含了大量的拟牛顿算法用来解决无约束,约束,和大规模的优化问题。(The quasi-Newton method and the Steepest Descent Methods only require that each step iterations know the gradient of the objective function. By measuring the change of the gradient, constructing a model of the objective function is sufficient to produce superlinear convergence. This method is much better than the steepest descent method, especially for difficult problems. In addition, because the quasi-Newton method does not require information on the second derivative, it is sometimes more effective than the Newton s Method. Today, the optimization software contains a large number of quasi-Newton algorithm used to solve the unconstrained, constraint, and large-scale optimization problems.)
- 2017-05-05 10:28:29下载
- 积分:1