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为了准确地对监控场景中的运动目标进行语义上的分类，提出了一种基于聚类的核主成分分析梯度方向直方图和二又决策树支持向量机的运动目标分类算法。-In order to accurately monitor the movement of scene targets semantic classification, the clustering based on kernel principal component analysis of gradient direction histograms,
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这是我毕设做自动调焦仿真实验时，编写的自动调焦函数的matlab代码，把基于灰度梯度的调焦函数都仿真了-This is what I do complete auto-focus based simulation experiments, the preparation of the automatic focusing function of the matlab code, the gray gradient-based simulation of the focusing function
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基本粒子群优化算法
遗传算法，基于聚类，梯度，最小二乘法的RBF网络程序等5个代码-Elementary particle swarm optimization algorithm genetic algorithm, based on clustering, gradient, least-squares method of RBF network program such as 5 code
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这是龚纯《精通matlab最优化计算》随书源码(M文件)。基于matlab优化工具箱，代码包含的内容有：牛顿法等无约束一维极值问题、单纯形搜索法等无约束多维极值问题、Rosen梯度投影法等约束优化问题、L-M法等非线性最小二乘优化问题、线性规划、整数规划、二次规划、粒子群优化、遗传算法。-This is pure Gong " Mastering matlab optimization calculations," with the book source (M file)
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基于matlab全景图拼接算法
基于最大梯度和灰度相关的两步全景图拼接算法-matlab-based panoramic image mosaic algorithm based on the maximum gradient and gray two-step related Panorama Stitching Algorithm
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代码介绍全局平滑约束下的基于梯度光流法的matlab实现-Code describes the global smoothness constraint optical flow method based on the gradient of the matlab implementation
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设有一基于格型梯度算法的预测器，其输入 由的AR模型产生，本程序可以得出自适应预测器的曲线-There is a gradient algorithm based on the lattice of the predictor, the input generated by the AR model, the procedure can be drawn Curve Adaptive Predictor
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基于BP神经网络识别字符.
BP神经网络算法是把一组样本输入输出问题转化为一个非线性优化问题，并通过梯度算法利用迭代运算求解权值的一种学习方法。采用BP网络进行分类，并附加线性感知器来实现单字符的有效识别，算法简便，识别率高，可适用于多种高噪声环境中的印刷体字符识别。-BP neural network based character recognition. BP neural network algorithm is a set of sample input and output is
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matlab 图像梯度化示列，对新手学习matlab很有帮助-matlab image gradient-based show out on the novice to learn matlab helpful
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基于随机梯度下降法的两层sigmoid神经元的BP算法-Stochastic gradient descent method based on two layers of sigmoid neurons in the BP algorithm
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基于matlab的共轭梯度BP算法在函数逼近中的实例-matlab-based conjugate gradient BP algorithm in the example of function approximation
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应用共轭梯度法综合优化交叉耦合滤波器。参考文献<Synthesis of Cross-coupled’Resonator Filters Using an Analytical gradient-based Optimization Technique >Smain Amari-Synthesis of Cross-coupled’Resonator Filters Using an Analytical gradient-based Optimization Technique _
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运用matlab对图像进行边缘检测，有具体的边缘检测方法，像基于梯度的算法。-matlab, the image edge detection, edge detection method specific, such as gradient-based algorithm.
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基于lms算法的干扰自适应抵消LMS算法是基于最陡下降法的统计估计的最小均方值算法，令误差的均方值达到最小时的抽头系数的值即为最优解。LMS算法抽头系数w的变化方向为代价方程的负梯度方向。-Lms algorithm based on adaptive interference cancellation algorithm is the LMS steepest descent method based on statistical estimation of the least mean sq
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最速下降梯度法matlab程序和用拟牛顿法求极小值点-apply a gradient–descent based error minimization approach to minimize the difference between the real deformation and the simulated one given the elasticity parameters
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多焦点图像融合
利用基于双边梯度的锐化标准
相当对应的论文是J. Tian, L. Chen, L. Ma and W. Yu, "Multi-focus image fusion using a bilateral gradient-based sharpness criterion,"-This is a demo program of the paper J. Tian, L. Chen, L. Ma and W. Yu, "Multi-focus image fusion usi
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基于matlab编写了SQP法，乘子法，共轭梯度法，拟牛顿法，信赖域法，最速下降法与牛顿法的最新程序，功能很强大，可供编程参考。-based on the preparation of matlab SQP, multiplier method, conjugate gradient method, quasi-Newton method, trust region method, steepest descent method with the Newton-Raphson method th
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它是一种matlab工具箱，可用于各种基于梯度的最优化问题的求解-It is a kind of matlab toolbox, based on the gradient can be used for a variety of solution of the optimization problem
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DeepLearnToolbox_CNN_lzbV2.0
深度学习,卷积神经网络,matlab工具箱
参考文献:
[1] Notes on Convolutional Neural Networks. Jake Bouvrie. 2006
[2] gradient-based Learning Applied to Document Recognition. Yann LeCun. 1998
[3] https://github.com/rasmusberg
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基于Armijo-Goldstein准则的用matlab实现的共轭梯度优化方法，个人编写，适合优化方法入门练习。(based on the Armijo-Goldstein criterion, the conjugate gradient optimization method implemented by matlab is written by individual, suitable for the introduction of the optimization method)
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