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Description: ECG压缩中的直接域压缩CORTES算法
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Size: 811 |
Author: lipai |
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Description: ECG压缩中的直接域压缩CORTES算法-ECG compression direct domain compression algorithm CORTES
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Size: 1024 |
Author: lipai |
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Description: 10个重要的算法C语言实现源代码：拉格朗日，牛顿插值，高斯，龙贝格，牛顿迭代，牛顿-科特斯，雅克比，秦九昭，幂法，高斯塞德尔-10 important C language implementation of the algorithm source code: Lagrange, Newton interpolation, Gaussian, Romberg, Newton iteration, Newton- Cortes, Jacobian, Qin nine-chao, power law, high斯塞德尔
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Size: 4096 |
Author: he |
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Description: 10个重要的算法C语言实现源代码
10个重要的算法C语言实现源代码：拉格朗日，牛顿插值，高斯，龙贝格，牛顿迭代，牛顿-科特斯，雅克比，秦九昭，幂法，高斯塞德尔-10 Key C language implementation of the algorithm source code 10 Key C language implementation of the algorithm source code: Lagrange, Newton interpolation, Gaussian, Romberg, Newton iteration, Newton- Cortes, Jacobian, 9 Chin-chao, power law, high斯塞德尔
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Size: 326656 |
Author: 张松宝 |
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Description: 支持向量机(Support Vector Machine)是Cortes和Vapnik于1995年首先提出的，它在解决小样本、非线性及高维模式识别中表现出许多特有的优势，并能够推广应用到函数拟合等其他机器学习问题中-SVM (Support Vector Machine) is Cortes and Vapnik in 1995, first put forward, which in the settlement of a small sample, nonlinear and high dimensional pattern recognition in the performance of a number of unique advantages, and be able to promote the use of the function fitting other machine learning problems
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Size: 2362368 |
Author: 周伟 |
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Description: 计算牛顿科特斯积分公式
包含求科特斯系数函数-Calculation of Newton- Cortes integral formula
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Size: 1024 |
Author: 百位过 |
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Description: 此为一个chm文件，其中包含10个重要的算法C语言实现源代码：拉格朗日，牛顿插值，高斯，龙贝格，牛顿迭代，牛顿-科特斯，雅克比，秦九昭，幂法，高斯塞德尔 -This is a chm file, which contains 10 important algorithms C language implementation source code: Lagrange, Newton interpolation, Gaussian, Rhomberg, Newton iteration, Newton- Cortes, Jacques ratio, 9 Qin Zhao, power France, high-Sisaideer
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Size: 326656 |
Author: 哇啦 |
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Description: 支持向量机是Cortes和Vapnik于1995年首先提出的，它在解决小样本、非线性及高维模式识别中表现出许多特有的优势，并能够推广应用到函数拟合等其他机器学习问题中-Support vector machine is Cortes and Vapnik in 1995 first proposed, it solve the small sample, nonlinear and high dimensional pattern recognition performance in many unique advantages, and to promote the use of the function fitting, and other machine learning problems
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Size: 268288 |
Author: 胡杨 |
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Description: Esta es una técnica que se usa desde hace muchos añ os en
Europa y Estados Unidos para el sostenimiento de cortes de
excavaciones.
Los Nails actúan como una armadura de empuje. Para garantizar
una resistencia al cizallamiento suficiente entre el Nail y el suelo
es necesario rellenar el espacio anular alrededor del Nail con
lechada de cemento inyectada simultáneamente con la
perforación por el método de roto-percusión. De esta manera
se aumenta el rozamiento, y como la inyección es simultánea
con la perforación se va generando un sellado de grietas y por
lo tanto una mejora del terreno.
6
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Size: 49152 |
Author: imax8v |
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Description: manual microcontrolador arm
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Size: 753664 |
Author: maverick_007 |
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Description: 基于ARM Cortes M3 SPI程序
实现IO口的高速反转-ARM Cortes M3 Soft spi
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Size: 3072 |
Author: guan |
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Description: 西班牙程序员 Roman Cortes 用纯 javascript 脚本编写了红色玫瑰花。
经 krissi 移植到了 vc 上
-beautiful rose
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Size: 2048 |
Author: 李明 |
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Description: 西班牙程序员 Roman Cortes 用纯 javascript 脚本编写了一个纪念披头士摇滚乐队(Beatles)的程序，动态效果很是漂亮。现在，这个精彩的程序经 krissi 移植到了 vc 上。-Spain programmers Roman Cortes the pure javascript script to prepare a memorial Beatles Rock Band (Beatles) program, the dynamic effect is very pretty. Now this wonderful program after krissi transplanted to vc on.
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Size: 1396736 |
Author: root |
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Description: Support vector machine is a machine learning method that is widely used for data analyzing and
pattern recognizing. The algorithm was invented by Vladimir Vapnik and the current standard
incarnation was proposed by Corinna Cortes and Vladimir Vapnik. This application note is to
helping understand the concept of support vector machine and how to build a simple support
vector machine using Matlab-Support vector machine is a machine learning method that is widely used for data analyzing and
pattern recognizing. The algorithm was invented by Vladimir Vapnik and the current standard
incarnation was proposed by Corinna Cortes and Vladimir Vapnik. This application note is to
helping understand the concept of support vector machine and how to build a simple support
vector machine using Matlab
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Size: 444416 |
Author: jacobjacobjacob17 |
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Description: MIMO Space-Time Block Coding (STBC): Simulations and Results
Luis Miguel Cort´ es-Pe ˜ na
CORTES-PENA ECE6604: PERSONAL & MOBILE COMMUNICATIONS PRESENTED TO DR. GORDON ST
¨ UBER, APRIL 2009 1
-MIMO Space-Time Block Coding (STBC): Simulations and Results
Luis Miguel Cort´ es-Pe ˜ na
CORTES-PENA ECE6604: PERSONAL & MOBILE COMMUNICATIONS PRESENTED TO DR. GORDON ST
¨ UBER, APRIL 2009 1
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Size: 25600 |
Author: javad |
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Description: 闲时无聊，搭了一个基于深度神经网络的手写数字识别系统。该系统在手写数字数据库mnist测试达到了99.22 的准确率。整个系统基于C++开发，可以很方便的移植到其他平台。
其中手写数字数据库mnist（http://yann.lecun.com/exdb/mnist/），有60000个训练样本数据集和10000个测试用例。它是由Google实验室的Corinna Cortes和纽约大学柯朗研究所的Yann LeCun建立的一个手写数字数据库。同时它是nist数据库的一个子集。
我们这里给出了训练和测试的tools以及一个demo。打开解压包，有两个文件夹，一个是“训练和测试的tools”，一个是“demo”。
详细的使用方法参看我的博客：http://blog.sciencenet.cn/home.php?mod=space&uid=907554&do=blog&id=772908-Leisure bored, take a handwriting recognition system based on neural network depth. The system is tested in handwritten digital database mnist reached 99.22 accuracy rate. The whole system is based on C++ development, can be easily ported to other platforms.
Where handwritten digital database mnist (http://yann.lecun.com/exdb/mnist/), there are 60,000 training sample data sets and 10,000 test cases. It is composed of Yann Google Labs Corinna Cortes and New York University s Courant Institute of LeCun establish a handwritten digital database. Also it is a subset of the database nist.
Here are the tools of our training and testing as well as a demo. Open unzip the package, there are two folders, one is "training and testing tools", one is "demo".
Detailed usage see my blog: http://blog.sciencenet.cn/home.php?mod=space&uid=907554&do=blog&id=772908
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Size: 28878848 |
Author: Shi |
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Description: 支持向量机(Support Vector Machine，SVM)是Corinna Cortes和Vapnik8等于1995年首先提出的，它在解决小样本、非线性及高维模式识别中表现出许多特有的优势，并能够推广应用到函数拟合等其他机器学习问题中。-SVM (Support Vector Machine, SVM) was Corinna ms Cortes and Vapnik8 is first proposed in 1995, it is to solve the small sample, nonlinear and high dimensional pattern recognition in the exhibit many unique advantages, and can be applied to the function fitting other Machine learning problems.
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Size: 178176 |
Author: mumu |
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Description: SISTEMA DE CORTES DE PLANCHA EN 2 DIMENSIONES
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Size: 405504 |
Author: pino |
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Description: Programa para cortes de planchas
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Size: 459776 |
Author: pino |
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Description: 基于支持向量机的人类活动识别，以日常生活中的10个活动进行识别。-Support Vector Machine (SVM) was first proposed in
1995 by Cortes and Vapnik [15] for solving classification and
regression problems. The solving strategy of SVM on the
multiple classification problems is commonly “one to one”
strategy, whose basic thought is that the classification problems
with N categories will be decomposed into ()1/2 NN− binary
classification problems to deal with, and meantime,
()1/2 NN− training classifiers needed to be trained. In the
training process, any two categories of all the N categories
would be selected as one group. Assume that we have five
categories, and these categories are labeled ,,, , ABC DE.
Figure 3 shows the
() 551/2 ×− classifiers according to “one to
one” tragedy.
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Size: 28672 |
Author: guolei |
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