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cv
说明: 基于目标跟踪的最简单CV模型的matlab源程序(CV module matlab)
- 2014-09-20 22:07:48下载
- 积分:1
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zuiyouhua
求解约束优化,非线性最小二乘优化,线性优化,整数规划,二次规划等最优化问题(Solving constrained optimization, nonlinear least squares optimization, linear optimization, integer programming, quadratic programming and other optimization problems)
- 2014-10-23 13:50:51下载
- 积分:1
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pLSA
plsa的简单实现,有数据,有代码,可以运行,有代码的解释(a simple implementation of plsa, data, code, you can run, the interpretation of the code)
- 2013-04-27 11:28:12下载
- 积分:1
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detectIris
Detection of Iris with segmentation and dilatation,
Not performant algorithm, better with hough transform
- 2009-06-02 11:59:10下载
- 积分:1
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The_use_of_SPSS_and_Matlab_for_time_series_predict
说明: 简单的预测与案例教程,适合初学者用于学习预测原理和简单的matlab代码(failed to translate)
- 2009-08-21 19:52:45下载
- 积分:1
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mianbanhuigui
面包板模型程序,引用通过面包板模型得到几个因素对另一个因素的影响因子(Breadboard model program, cited several factors to get another factor influencing factors breadboard model by)
- 2014-08-18 23:02:10下载
- 积分:1
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SPIHT
it s MATLAB implementation of SPIHT algorithm
- 2009-11-09 18:57:25下载
- 积分:1
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Conservation-of-energy
能量守恒:能量守恒是物理中经典模型,能量从一个物体转化到另一个物体,能量守恒(Conservation of energy)
- 2011-11-14 14:23:58下载
- 积分:1
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genetic-algorithm
In the field of artificial intelligence, a genetic algorithm (GA) is a search heuristic that mimics the process of natural selection. This heuristic (also sometimes called a metaheuristic) is routinely used to generate useful solutions to optimization and search problems.[1] Genetic algorithms belong to the larger class of evolutionary algorithms (EA), which generate solutions to optimization problems using techniques inspired by natural evolution, such as inheritance, mutation, selection, and crossover.
- 2015-04-14 23:54:18下载
- 积分:1
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matlab实现 边缘预测
说明: 边缘预测提出了一种基于预测的、有一定自适应性的边缘检测方法。介绍了其原理和算法实现过程。通过计算两个相邻像素的灰度值的均值、均方差和梯度来预测下一个像素的灰度值,比较预测值和真实值来判断下一个像素是否是边界点。通过与现有同类算法的比较,证明了该算法的优越性(A predictive and adaptive edge detection method is proposed. The principle and implementation process of the algorithm are introduced. The gray value of the next pixel is predicted by calculating the mean, mean square deviation and gradient of the gray value of the two adjacent pixels. The prediction value and the real value are compared to determine whether the next pixel is a boundary point. The superiority of this algorithm is proved by comparing with the existing similar algorithms.)
- 2020-06-18 02:20:02下载
- 积分:1