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Invariant_Line_Segment_Matching
function Invariant_Line_Feature_Matching
___DESCRIPTION___
Compare segmented line pairs as 4 dimentional line pair features ( Q1 , Q2 , Drelative , D? )
Example :
Invariant_Line_Feature_Matching ( )
___REFERENCE___
Paper 1 : Line Feature Matching Technique Based on an Eigenvector Approach
Park, Lee, Lee - Ideal - CV and Im. Und. - 77, 263-283 - (2000)( function Invariant_Line_Feature_Matching
___DESCRIPTION___
Compare segmented line pairs as 4 dimentional line pair features ( Q1 , Q2 , Drelative , D? )
Example :
Invariant_Line_Feature_Matching ( )
___REFERENCE___
Paper 1 : Line Feature Matching Technique Based on an Eigenvector Approach
Park, Lee, Lee- Ideal- CV and Im. Und.- 77, 263-283- (2000))
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(Using BP network function approximation to a curve, mail is widely used in neural network is the basis of system identification.
Through feedback to constantly adjusted factor, limit the maximum cycle times to prevent into dead circulation, and of course if you want to get a more accurate coefficients can increase the cycles.)
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偏最小二乘法是一种数学优化技术，它通过最小化误差的平方和找到一组数据的最佳函数匹配。 用最简的方法求得一些绝对不可知的真值，而令误差平方之和为最小。(Partial least squares method is a kind of mathematical optimization technique, it through the minimum error sum of squares to find a set of data the best function matching. With the Jane s method for some absolutely unknowable true value, and make the sum of error square to a minimum.)
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对均衡进行初始化，并计算固定均衡矩阵等固定参数。
(Initialization and calculation of ixed parameters, e.g. cell positions,equalization matrix etc.)
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examples
说明： 这是deitle出版的经典教材《c++大学教程》第五版的全部例题的代码(This document include all the example codes of a classical book---<<c++ university course>> 5th edition published by deitle)
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