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SVM 图像识别
利用SVM分类器对图像进行分类,运行环境为opencv,并且代码包内含有关于libSVM的相关文献
- 2023-07-28 00:50:04下载
- 积分:1
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飞船相对测站的位置矢量单位矢量在赤道坐标系中的三个分量...
飞船相对测站的位置矢量单位矢量在赤道坐标系中的三个分量-Spacecraft relative position vector of the station unit vector in the equatorial coordinate system of the three subscales
- 2023-04-17 08:30:03下载
- 积分:1
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基于堆的优先队列C语言实现
优先队列(priority_queue)和一般队列(queue)的函数接口一致,不同的是,优先队列每次出列的是整个队列中最小(或者最大)的元素。
本文简要介绍一种基于数组二叉堆实现的优先队列
详细出处参考:http://www.jb51.net/article/41978.htm
- 2022-03-13 04:05:17下载
- 积分:1
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四则运算的代码,有兴趣的可以研究下下的呵呵.
四则运算的代码,有兴趣的可以研究下下的呵呵.-4 computing code, may be interested Ha ha under study.
- 2022-05-09 01:57:08下载
- 积分:1
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K-Means算法 mapreduce
public class KmeansMapper extends MapReduceBase implements
Mapper {
// one coodinate(data)
private List coordinate = new ArrayList();
private BasicKMeansTool basicKmeans = new BasicKMeansTool();
public void map(LongWritable key, Text value,
OutputCollector midoutput,
Reporter arg3) throws IOException {
// TODO Auto-generated method stub
String line = value.toString();
String[] dataList = line.split(",");
List distances = null;
StringTokenizer itr;
for (int i = 0; i < dataList.length; i++) {
itr = new StringTokenizer(dataList[i]);
&nbs
- 2023-02-01 17:45:04下载
- 积分:1
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一个用于数学函数值计算的c函数,求任意数学函数f(x)和f(x,y)的值...
一个用于数学函数值计算的c函数,求任意数学函数f(x)和f(x,y)的值-a mathematical function for the calculation of the value of c function. Arbitrary mathematical function f (x) and f (x, y) values
- 2022-01-28 14:24:13下载
- 积分:1
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农夫过河的扩展,如一个农夫带5件物品,每次带2件
农夫过河的扩展,如一个农夫带5件物品,每次带2件-farmer expansion of the river, such as a farmer with five items, each with two
- 2023-05-16 06:35:03下载
- 积分:1
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最小二乘法计算程序
最小二乘法计算程序-least squares method procedures
- 2022-01-26 01:31:06下载
- 积分:1
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C计算器
资源描述利用堆栈实现的计算器,具备一般计算器的功能。包含加减乘除,负数,括号,sin,cos,tan, 乘方等运算。
- 2022-05-28 00:03:06下载
- 积分:1
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Least Soft-thresold Squares Tracking
we propose a generative tracking method based on a novel robust linear regression algorithm. In con-
trast to existing methods, the proposed Least Soft-thresold Squares (LSS) algorithm models the error term with the
Gaussian-Laplacian distribution, which can be solved ef- ficiently. Based on maximum joint likelihood of parameters,
we derive a LSS distance to measure the difference between an observation sample and the dictionary. Compared with
the distance derived from ordinary least squares methods, the proposed metric is more effective
- 2022-03-22 17:30:20下载
- 积分:1