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CVPR_2006_KSVD_Denoising
说明: KSVD算法PPT,很好很生动形象,易懂(KSVD)
- 2010-04-13 09:41:22下载
- 积分:1
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Bao
取x轴Y轴某些点的坐标,用线连起来,包线图(Check point coordinates, even from the envelope
)
- 2011-05-24 15:00:09下载
- 积分:1
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GS
说明: 数值分析-高斯消去法实验详细过程解释(Numerical Analysis- Gauss elimination method experimental)
- 2011-12-14 21:19:11下载
- 积分:1
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dengjianjuxianzhen
20元等间隔线阵的波束形成程序,用乘机定理等效成三个阵(20 interval linear array of beam-forming process, with opportunity for the equivalent theorem into three array)
- 2008-05-06 16:26:06下载
- 积分:1
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white_noise
说明: %利用乘同余法写的白噪声程序
%对于辨识有一定帮助
%相关方法可以参照乘同余法原理( Use by the same method to write more than the white noise process for the identification of definite help in correlation method can refer to law by the principle of congruence)
- 2006-04-02 10:35:51下载
- 积分:1
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Operations_Research__An_Introduction
Operations research: an introduction
By: Hamdy A. Taha
- 2015-01-10 22:42:41下载
- 积分:1
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complex618
脑电信号的复杂度计算,有文档和多个matlab程序实例(EEG complexity calculation, there are documents and multiple instances of matlab program)
- 2010-05-20 09:40:59下载
- 积分:1
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Relevance-Vector-Machine
说明: 相关向量机(Relevance Vector Machine,简称RVM)是Micnacl E.Tipping于2000年提出的一种与SVM(Support Vector Machine)类似的稀疏概率模型,是一种新的监督学习方法。
它的训练是在贝叶斯框架下进行的,在先验参数的结构下基于主动相关决策理论(automatic relevance determination,简称ARD)来移除不相关的点,从而获得稀疏化的模型。在样本数据的迭代学习过程中,大部分参数的后验分布趋于零,与预测值无关,那些非零参数对应的点被称作相关向量(Relevance Vectors),体现了数据中最核心的特征。同支持向量机相比,相关向量机最大的优点就是极大地减少了核函数的计算量,并且也克服了所选核函数必须满足Mercer条件的缺点。(Relevance Vector Machine (RVM) is a sparse probability model similar to SVM (Support Vector Machine) proposed by Micnacl E. Tipping in 2000. It is a new supervised learning method.
Its training is carried out under the Bayesian framework. Under the structure of prior parameters, it is based on Automatic Relevance Determination (ARD) to remove the irrelevant points, so as to obtain the sparse model. In the iterative learning process of sample data, the posterior distribution of most parameters tends to zero, which is independent of the predicted value. The points corresponding to non-zero parameters are called Relevance Vectors, which represent the most core features of the data. Compared with support vector machine, the biggest advantage of correlation vector machine is that it greatly reduces the computation amount of kernel function, and also overcomes the shortcoming that the selected kernel function must meet Mercer's condition.)
- 2021-03-23 21:20:53下载
- 积分:1
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my_obj_display
matlab 读取显示.obj图形文件,在matlab界面中以三维图像形式显示,并将三维坐标信息生成
Excel保存。(Matlab to read display. Obj graphics files,A 3D image display in the matlab
interface, and it will generate Excel save three-dimensional coordinate
information.)
- 2014-09-29 09:18:04下载
- 积分:1
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mypwe
2D PWM Photonic crystal source code
- 2013-12-03 17:34:30下载
- 积分:1