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此代码是在matlab上实现车辆预测跟踪，根据c均值算法测出当前车辆中心，根据αβγ滤波预测下一状态的中心-This code is a matlab forecast track to achieve vehicle, according to c means algorithm to detect the current vehicle center, according to projections αβγ filter the center of the next state
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Kernel Entropy Component Analysis,KECA方法的作者R. Jenssen自己写的MATLAB代码，文章发表在2010年5月的IEEE TPAMI上面-Kernel Entropy Component Analysis, by R. Jenssen, published in IEEE TPAMI 2010.
We introduce kernel entropy component analysis (kernel ECA) as a new method
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基于凸集投影算法的超分辨率图像重建算法，在现有算法基础上改进计算精度和效率。-To improve the computational accuracy and efficiency in the existing algorithms based on super-resolution image reconstruction algorithm based on projections onto convex sets algorithm.
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一个很好的车牌定位实例，通过经过灰度化、二值化、降噪、中值滤波、水平投影和垂直投影算法，实现了车牌的准确定位。-A good example of plate positioning, by passing through the graying, binarization, noise reduction, median filtering, horizontal and vertical projections algorithm to achieve the exact location
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算法参考
S.-C. Pei, M.-H. Yeh, and C.-C. Tseng.
Discrete fractional Fourier-transform based on orthogonal projections.
IEEE Trans. Sig. Proc., 47(5):1335--1348, 1999
-Algorithm reference S.-C. Pei, M.-H. Yeh, and C.-C. Tseng. Discrete fractional
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D MANUSC
Graph-optimized Locality Preserving Projections (GoLPP) algorithm [28]. GoLPP
integrated the graph construction and a specific dimensionality reduction process (i.e.
LPP) into a unified framework, which results in a simultaneous learni
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