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bayescode1
模式识别中,对于服从多元正态分布的样本的一个分类器的实现。(pattern recognition, obedience multivariate normal distribution of a sample of the classifier is achieved.)
- 2007-03-02 18:35:30下载
- 积分:1
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rangeestimate_uwb
this matlab code is useful for ranging applications where localization done using maximumum likelihood algorithm.
- 2011-11-17 14:38:48下载
- 积分:1
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SPR4layeranglelongrange
用于计算长程表面等离子体共振角度谱的反射率曲线(long-range surface plasmon resonance is used to calculate the spectral reflectance curves of the angle)
- 2013-12-16 20:16:08下载
- 积分:1
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matlab_fvs_12_29_03
指纹识别MATLAB程序 绝对原创
指纹识别MATLAB程序 绝对原创(MATLAB procedures fingerprint fingerprint absolutely original absolute original MATLAB program)
- 2009-04-28 14:17:43下载
- 积分:1
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ex7Data
matlab skin detection
- 2013-08-09 07:25:15下载
- 积分:1
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approaching_fuzzy_2v
使用模糊系统方法来实现二维函数的逼近,效果很好,matlab编程仿真(fuzzy systems use methods to achieve the two-dimensional function approximation and the results very good, Matlab Simulation Programming)
- 2007-06-03 17:06:29下载
- 积分:1
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Bayesian-Vector-Autoregression-using-Bayesian-est
Bayesian Vector Autoregression using Bayesian estimation method
- 2015-02-16 10:02:18下载
- 积分:1
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rec1D
在图像处理之中的对已经进行多小波分解的信号进行重构的Matlab实验程序(In image processing have been conducted among more than wavelet decomposition of signals reconstructed experimental procedures Matlab)
- 2008-04-26 21:09:16下载
- 积分:1
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BinaryIntegerProg
说明: 也在找关于这方面的资料着~~我是有matlab程序,但是在Java里没法触发调用它~~
付上matlab程序,有需要的自己拿吧。
function BinaryIntegerProg(f_file_name, A_file_name, b_file_name, Aeq_file_name, beq_file_name,write_file_name)
f = load(f_file_name)
A = load(A_file_name)
b = load(b_file_name)
Aeq = load(Aeq_file_name)
Beq = load(beq_file_name)
x = bintprog(f, A, b, Aeq, beq)
fp = fopen(write_file_name, w )
fprintf(fp, d\n ,x)
fclose(fp)(good daima!)
- 2011-04-17 09:24:01下载
- 积分:1
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Multilabel-Image-Classification-via-High
Four crucial issues are considered by the proposed HoAL: 1) unlike binary cases, the selection granularity for multilabel active learning need to be fined from example to examplelabel pair 2) different labels are seldom independent, and label correlations provide critical information for efficient learning 3) in addition to pair-wise label correlations, high-order label correlations are also informative for multilabel active learning and 4) since the number of label combinations increases exponentially with respect to the number of labels, an efficient mining
method is required to discover informative label correlations
- 2014-09-03 02:03:47下载
- 积分:1