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Kalmantestfenxi
基于卡尔曼的视频序列帧图像的跟踪程序,还有condense算子法的跟踪,可动态读取序列帧并对其进行估计跟踪,非常好的程序。(based video sequence pictures of the tracking process, in addition to condense operator law tracking, Dynamic sequences can be read on its frame and estimated tracking, very good procedures.)
- 2007-06-08 22:24:47下载
- 积分:1
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Mathmatlab
应用matlab对负责数学模型分析求解方法解析(Application the matlab responsible mathematical model analysis method for solving resolution)
- 2013-01-21 00:19:29下载
- 积分:1
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MATLAB
MATLABitis MATLAB7.0.good(itis MATLAB7.0.gooditis MATLAB7.0.gooditis MATLAB7.0.gooditis MATLAB7.0.gooditis MATLAB7.0.gooditis MATLAB7.0.gooditis MATLAB7.0.gooditis MATLAB7.0.gooditis MATLAB7.0.gooditis MATLAB7.0.gooditis MATLAB7.0.gooditis MATLAB7.0.gooditis MATLAB7.0.gooditis MATLAB7.0.gooditis MATLAB7.0.gooditis MATLAB7.0.gooditis MATLAB7.0.gooditis MATLAB7.0.good)
- 2012-11-27 10:57:56下载
- 积分:1
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bpskm
二进制相移键控(模拟调制方法),樊昌信《通信原理》内容(Binary phase shift keying (Analog modulation methods), Fan Changxin " Communication Theory" content)
- 2009-03-19 22:55:20下载
- 积分:1
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path-adjustment-algorithmn
joint user scheduling with path adjustment algorithmn
- 2013-08-28 15:55:06下载
- 积分:1
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Icic
Article published in ICIC about traveling waves
- 2012-01-31 21:10:09下载
- 积分:1
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Matlab-simulation
机器人控制系统的设计与Matlab仿真 源代码(The design of the robot control system and Matlab simulation)
- 2014-02-26 15:32:10下载
- 积分:1
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mochilaBusquedaTabu
Solucion problema de la mochila con busqueda tabu.
- 2009-09-22 10:52:24下载
- 积分:1
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最速下降法
说明: 最速下降法是迭代法的一种,可以用于求解最小二乘问题(线性和非线性都可以)。在求解机器学习算法的模型参数,即无约束优化问题时,梯度下降(Gradient Descent)是最常采用的方法之一,另一种常用的方法是最小二乘法。在求解损失函数的最小值时,可以通过梯度下降法来一步步的迭代求解,得到最小化的损失函数和模型参数值。反过来,如果我们需要求解损失函数的最大值,这时就需要用梯度上升法来迭代了。在机器学习中,基于基本的梯度下降法发展了两种梯度下降方法,分别为随机梯度下降法和批量梯度下降法。(The steepest descent method is a kind of iterative method, which can be used to solve the least squares problem (both linear and nonlinear). In solving the model parameters of machine learning algorithm, that is, unconstrained optimization, gradient descent is one of the most commonly used methods, and the other is the least square method. When solving the minimum value of loss function, the gradient descent method can be used step by step to get the minimum value of loss function and model parameters. Conversely, if we need to solve the maximum value of the loss function, then we need to use the gradient rise method to iterate. In machine learning, two kinds of ladders are developed based on the basic gradient descent method)
- 2019-11-24 13:06:03下载
- 积分:1
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Geometry01
对图像进行加、减、乘、除、放大、缩小的运算(To add, subtract, multiply, divide, enlarge, reduce On the image.)
- 2010-07-06 01:23:26下载
- 积分:1