搜索资源列表
gaussianSrc
- The EM algorithm is short for Expectation-Maximization algorithm. It is based on an iterative optimization of the centers and widths of the kernels. The aim is to optimize the likelihood that the given data points are generated by a mixture of Gaussi
fulldyn.tar
- 这是一个模拟第3类模式地震波的matlab脚本。 This a collection of Matlab scr ipts that solve the antiplane (mode III) earthquake dynamic problem with slip-weakening friction, on a 1D fault embedded in a 2D homogeneous elastic unbounded medium. The problem is f
高斯滤波器 matlab toolbox
- 高斯滤波器 matlab toolbox For GMMs and Gaussian kernels,Gaussian filter matlab toolboxFor GMMs and Gaussian kernels
libsvm-2.9-string
- 某些应用的数据实例是字符串的形式.SVM使用字符串核训练模型.以下是实验代码,允许字符串输入,实现了一个字符串核.详细见帮助文档.-For some applications, data instances are strings. SVM trains a model using some string kernels. This experimental code (download zip file here) allows string inputs and implements one
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- 关于rbf神经网络实现图像分类的优化算法英文文献 源于著名期刊I-Spectral Angle Based Kernels for the Classification of Hyperspectral Images
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- 光谱角为基础的高光谱图像分类仁 希望对大家有用-Spectral Angle Based Kernels for the Classification of Hyperspectral Images
sst
- 超级简单的一个任务调度器，是量子编程的作者写的，非常实用-Almost all embedded systems are event-driven most of the time they wait for some event such as a time tick, a button press, a mouse click, or the arrival of a data packet. After recognizing the event, the systems react b
powctrl
- This manual describes the use of the Matlab/Simulink-based [The Mathworks, 2001] simulator TRUETIME, which facilitates co-simulation of controller task execution in real-time kernels, network transmissions, and continuous plant dynamics. The si
PatternClassificationToolBox
- 模式分类工具箱，SVC,PCA等,核分类，带例子以及所需数据-PatternClassificationToolBox，PCA,quadrat,kernels,bayes
sobreAOK
- Time-frequency representations with fixed windows or kernels figure prominently in many applications, but perform well only for limited classes of signals.
lect3
- 牛津大学机器学习课件 Kernels:Linear separability,Feature mapping,Kernels for SVMs-oxford lecture notes kernels by prof. A. Zisserman
GaussianFiltering
- 利用高斯核自行完成高斯平滑。 1.gkernel.m: 创建高斯核。 2.getnorm.m: 将高斯核归一化以求得该核的图像 3.convo.m：不用自带函数求卷积 4.conducting.m: 举例执行程序-1.gkernel.m: Buidling Gaussian kernels. 2.getnorm.m: Normalizing Gaussian kernel in order to display the kernel. 3.convo.m: calcula
kernels
- If your presence doesn t make an impact, your absence won t make a difference.
matlab4
- This paper presents a fuzzy topology-based method to facilitate the use of larger gradient kernels. The new method effectively limits the response area around the edge and prevents neighboring objects to affect each other. Synthetic images are used t
matlab55
- This paper presents a fuzzy topology-based method to facilitate the use of larger gradient kernels. The new method effectively limits the response area around the edge and prevents neighboring objects to affect each other. Synthetic images are used t
Solutions_4
- mathematica Convolution Initialization - RUN THESE FIRST Kernels and Sharpening-Convolution Initialization- RUN THESE FIRST Kernels and Sharpening
zhengzewangluo
- 正则网络是使用正则核函数进行机器学习。训练两组数据得到分界函数。-Regular network is to use regular kernels for machine learning. Boundaries of the training sets of data are functions.
Hammerstein_Toolbox_V1.2
- In a number of vibration applications, systems under study are slightly non-linear. Cascade of Hammerstein models conveniently allows one to describe such systems. The Hammerstein Toolbox provides a simple method based on a phase property of expone
SVM-2D-Classification-
- SVM 2D Classification Comparing Gaussian and polynomial Kernels -SVM 2D Classification Comparing Gaussian and polynomial Kernels
svm_classify
- svm classifier with different kernels