<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[菲尼克斯罗的学习笔记]]></title><description><![CDATA[欢迎批评指正]]></description><link>https://blog.youkuaiyun.com/helloeveryon</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; helloeveryon]]></copyright><item><title><![CDATA[MAC安装LLVM指导]]></title><link>https://blog.youkuaiyun.com/helloeveryon/article/details/130754782</link><guid>https://blog.youkuaiyun.com/helloeveryon/article/details/130754782</guid><author>helloeveryon</author><pubDate>Thu, 18 May 2023 20:34:58 +0800</pubDate><description><![CDATA[【代码】MAC安装LLVM指导。]]></description><category></category></item><item><title><![CDATA[golang使用beego.orm连接pg数据库出错定位过程]]></title><link>https://blog.youkuaiyun.com/helloeveryon/article/details/127951887</link><guid>https://blog.youkuaiyun.com/helloeveryon/article/details/127951887</guid><author>helloeveryon</author><pubDate>Sun, 20 Nov 2022 19:06:27 +0800</pubDate><description><![CDATA[golang使用lib/pg连接数据库定位过程]]></description><category></category></item><item><title><![CDATA[K8S集群性能测试]]></title><link>https://blog.youkuaiyun.com/helloeveryon/article/details/120260911</link><guid>https://blog.youkuaiyun.com/helloeveryon/article/details/120260911</guid><author>helloeveryon</author><pubDate>Mon, 13 Sep 2021 09:46:27 +0800</pubDate><description><![CDATA[这里写自定义目录标题欢迎使用Markdown编辑器新的改变功能快捷键合理的创建标题，有助于目录的生成如何改变文本的样式插入链接与图片如何插入一段漂亮的代码片生成一个适合你的列表创建一个表格设定内容居中、居左、居右SmartyPants创建一个自定义列表如何创建一个注脚注释也是必不可少的KaTeX数学公式新的甘特图功能，丰富你的文章UML 图表FLowchart流程图导出与导入导出导入
欢迎使用Markdown编辑器
你好！ 这是你第一次使用 Markdown编辑器 所展示的欢迎页。如果你想学习如何使用Mar]]></description><category></category></item><item><title><![CDATA[Fast and Accurate Image Upscaling with Super-Resolution Forests]]></title><link>https://blog.youkuaiyun.com/helloeveryon/article/details/70199873</link><guid>https://blog.youkuaiyun.com/helloeveryon/article/details/70199873</guid><author>helloeveryon</author><pubDate>Mon, 17 Apr 2017 00:04:02 +0800</pubDate><description><![CDATA[….]]></description><category></category></item><item><title><![CDATA[C++中虚析构函数的作用]]></title><link>https://blog.youkuaiyun.com/helloeveryon/article/details/55292250</link><guid>https://blog.youkuaiyun.com/helloeveryon/article/details/55292250</guid><author>helloeveryon</author><pubDate>Thu, 16 Feb 2017 23:21:45 +0800</pubDate><description><![CDATA[我们知道，用C++开发的时候，用来做基类的类的析构函数一般都是虚函数。可是，为什么要这样做呢？下面用一个小例子来说明：    
    有下面的两个类：

class ClxBase
{
public:
    ClxBase() {};
    virtual ~ClxBase() {};

    virtual void DoSomething() { cout  "Do ]]></description><category></category></item><item><title><![CDATA[C++ 类访问控制（public/protected/private）]]></title><link>https://blog.youkuaiyun.com/helloeveryon/article/details/55280781</link><guid>https://blog.youkuaiyun.com/helloeveryon/article/details/55280781</guid><author>helloeveryon</author><pubDate>Thu, 16 Feb 2017 22:39:05 +0800</pubDate><description><![CDATA[第一：private, public, protected 访问标号的访问范围。

private：只能由1.该类中的函数、2.其友元函数访问。

不能被任何其他访问，该类的对象也不能访问。


protected：可以被1.该类中的函数、2.子类的函数、以及3.其友元函数访问。

但不能被该类的对象访问。


public：可以被1.该类中的函数、2.子类的函数、3.其友]]></description><category></category></item><item><title><![CDATA[python 问题集]]></title><link>https://blog.youkuaiyun.com/helloeveryon/article/details/54915527</link><guid>https://blog.youkuaiyun.com/helloeveryon/article/details/54915527</guid><author>helloeveryon</author><pubDate>Tue, 07 Feb 2017 20:22:40 +0800</pubDate><description><![CDATA[A[ [1],[2] ]  A[0]:[1]  not 1]]></description><category></category></item><item><title><![CDATA[模拟“五个哲学家”问题_Unix环境高级编程]]></title><link>https://blog.youkuaiyun.com/helloeveryon/article/details/53169943</link><guid>https://blog.youkuaiyun.com/helloeveryon/article/details/53169943</guid><author>helloeveryon</author><pubDate>Tue, 15 Nov 2016 12:06:46 +0800</pubDate><description><![CDATA[实验描述

编制模拟“五个哲学家”问题的程序，学习和掌握并发进程同步的概念和方法。

要求：

1、程序语法，是哲学家进餐和沉思的持续时间值，缺省值为2秒。

philosopher [ -t ]

2、五个哲学家的编号为0~4，分别用五个进程独立模拟。
3、程序的输出要简洁，仅输出每个哲学家进餐和沉思的信息。例如，当编号为3的哲学家在进餐时，就打印：
philosophe]]></description><category></category></item><item><title><![CDATA[Deeply-Recursive Convolutional Network for Image Super-Resolution 笔记]]></title><link>https://blog.youkuaiyun.com/helloeveryon/article/details/53147639</link><guid>https://blog.youkuaiyun.com/helloeveryon/article/details/53147639</guid><author>helloeveryon</author><pubDate>Sun, 13 Nov 2016 10:39:09 +0800</pubDate><description><![CDATA[首先介绍下，2016 CVPR的两篇SR oral是同一作者. 
Deeply-Recursive Convolutional Network for Image Super-Resolution(DRN) 
Accurate Image Super-Resolution Using Very Deep Convolutional Networks(VDSN)先介绍DRNAbstract： 
如果训]]></description><category></category></item><item><title><![CDATA[爬虫学习笔记]]></title><link>https://blog.youkuaiyun.com/helloeveryon/article/details/53057613</link><guid>https://blog.youkuaiyun.com/helloeveryon/article/details/53057613</guid><author>helloeveryon</author><pubDate>Sun, 06 Nov 2016 23:15:40 +0800</pubDate><description><![CDATA[# coding=utf-8import urllib2,os
import urllib
import cookielib
import sys
import re
import lxml.html as HTML
import socket
import demjson
import time
from bs4 import BeautifulSoup
from bs4 import Beaut]]></description><category></category></item><item><title><![CDATA[latex学习笔记]]></title><link>https://blog.youkuaiyun.com/helloeveryon/article/details/53020249</link><guid>https://blog.youkuaiyun.com/helloeveryon/article/details/53020249</guid><author>helloeveryon</author><pubDate>Thu, 03 Nov 2016 12:11:18 +0800</pubDate><description><![CDATA[首行收近：\setlength{\parindent}{2em}{}



图片后面紧跟文字: \begin{figure}[htbp]]]></description><category></category></item><item><title><![CDATA[Latex设置字体大小，加粗，加下划线，变斜体]]></title><link>https://blog.youkuaiyun.com/helloeveryon/article/details/53013523</link><guid>https://blog.youkuaiyun.com/helloeveryon/article/details/53013523</guid><author>helloeveryon</author><pubDate>Wed, 02 Nov 2016 22:05:05 +0800</pubDate><description><![CDATA[Latex 设置字体大小命令由小到大依次为：


\tiny
\scriptsize
\footnotesize
\small
\normalsize
\large
\Large
\LARGE
\huge
\Huge




使用方法，例如：

\large{这是大号字体}

 

 

加粗：

\textbf{文字}

数学模式下用\u]]></description><category></category></item><item><title><![CDATA[latex添加中文包]]></title><link>https://blog.youkuaiyun.com/helloeveryon/article/details/53012792</link><guid>https://blog.youkuaiyun.com/helloeveryon/article/details/53012792</guid><author>helloeveryon</author><pubDate>Wed, 02 Nov 2016 21:23:33 +0800</pubDate><description><![CDATA[\usepackage{zh_CN-Adobefonts_external}


%\usepackage{xCJKnumb}]]></description><category></category></item><item><title><![CDATA[Fast and Accurate Image Upscaling with Super-Resolution Forests]]></title><link>https://blog.youkuaiyun.com/helloeveryon/article/details/52944932</link><guid>https://blog.youkuaiyun.com/helloeveryon/article/details/52944932</guid><author>helloeveryon</author><pubDate>Thu, 27 Oct 2016 13:26:09 +0800</pubDate><description><![CDATA[组会报告的这篇，里面对树生成的过程还是有不理解的地方，待加强.]]></description><category></category></item><item><title><![CDATA[Fast and Accurate Image Upscaling with Super-Resolution Forests]]></title><link>https://blog.youkuaiyun.com/helloeveryon/article/details/52892343</link><guid>https://blog.youkuaiyun.com/helloeveryon/article/details/52892343</guid><author>helloeveryon</author><pubDate>Sat, 22 Oct 2016 15:07:08 +0800</pubDate><description><![CDATA[这篇文章的大致想法是 训练随机森林，随机森林的叶子节点带有回归函数，所以他的目标函数，包括两个功能


一个功能是把类似的图片分到相同的树节点，也就是11式中的第二项，类似聚类；另外一个功能叶节点的回归函数回归误差最小化.
相比《Optimized Regressor Forest for Image Super-Resolution》，虽然两篇都使用到随机数森林，但是还是有差异，后者的系]]></description><category></category></item><item><title><![CDATA[文件及文件夹rwx权限的意义]]></title><link>https://blog.youkuaiyun.com/helloeveryon/article/details/52872624</link><guid>https://blog.youkuaiyun.com/helloeveryon/article/details/52872624</guid><author>helloeveryon</author><pubDate>Thu, 20 Oct 2016 14:54:00 +0800</pubDate><description><![CDATA[我们知道不同的角色针对同一个文件（目录）可能会有不同的权限，那么rwx权限的意义是什么呢？

对于文件

文件是包含实际数据的地方，包括一般文本文件、数据库内容文件、二进制可执行文件等。对于文件来说，rwx权限的意义为：

r：read，可读取此文件的内容，即可以打开文件；

w：write，可编辑此文件的内容，如可以增加、删除、更改文件内容；

x：execute，可以执行此]]></description><category></category></item><item><title><![CDATA[bootstrap, boosting, bagging 几种方法的联系]]></title><link>https://blog.youkuaiyun.com/helloeveryon/article/details/52860483</link><guid>https://blog.youkuaiyun.com/helloeveryon/article/details/52860483</guid><author>helloeveryon</author><pubDate>Wed, 19 Oct 2016 16:13:15 +0800</pubDate><description><![CDATA[这两天在看关于boosting算法时，看到一篇不错的文章讲bootstrap,
 jackknife, bagging, boosting, random forest 都有介绍，以下是搜索得到的原文，没找到博客作者的地址，
在这里致谢作者的研究。
一并列出一些找到的介绍boosting算法的资源：
（1）视频讲义，介绍boosting算法，主要介绍AdaBoosing    http:/]]></description><category></category></item><item><title><![CDATA[Fast and Accurate Image Upscaling with Super-Resolution Forests]]></title><link>https://blog.youkuaiyun.com/helloeveryon/article/details/52833841</link><guid>https://blog.youkuaiyun.com/helloeveryon/article/details/52833841</guid><author>helloeveryon</author><pubDate>Sun, 16 Oct 2016 22:45:52 +0800</pubDate><description><![CDATA[啊啊啊]]></description><category></category></item><item><title><![CDATA[A Large Contextual Dataset for Classification, Detection and Counting of Cars with Deep Learning]]></title><link>https://blog.youkuaiyun.com/helloeveryon/article/details/52807338</link><guid>https://blog.youkuaiyun.com/helloeveryon/article/details/52807338</guid><author>helloeveryon</author><pubDate>Thu, 13 Oct 2016 21:00:22 +0800</pubDate><description><![CDATA[这篇文章值得关注的点：1. This network combines residual learning with Inception-style layers and is used to count cars in one look. This is a new way to count objects rather than by localization or density estima]]></description><category></category></item><item><title><![CDATA[linux快捷命令]]></title><link>https://blog.youkuaiyun.com/helloeveryon/article/details/52756824</link><guid>https://blog.youkuaiyun.com/helloeveryon/article/details/52756824</guid><author>helloeveryon</author><pubDate>Sat, 08 Oct 2016 15:19:46 +0800</pubDate><description><![CDATA[VIM:
保存文件:在命令模式下,连按两次大写字母



$ who am i   （我是谁）
teacher    tty02   Sep    05    08:25
$ who –H       (显示各列信息标题)
NAME      LINE    TIME
teacher      tty02     Sep   05    08:25
student1    tt]]></description><category></category></item></channel></rss>