<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[迪玛希的女朋友的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/biubiubiu123321</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; biubiubiu123321]]></copyright><item><title><![CDATA[代码随想录刷题60 天 第5天]]></title><link>https://blog.youkuaiyun.com/biubiubiu123321/article/details/129279090</link><guid>https://blog.youkuaiyun.com/biubiubiu123321/article/details/129279090</guid><author>biubiubiu123321</author><pubDate>Wed, 01 Mar 2023 12:54:54 +0800</pubDate><description><![CDATA[无]]></description><category></category></item><item><title><![CDATA[代码随想录刷题60天 第4天]]></title><link>https://blog.youkuaiyun.com/biubiubiu123321/article/details/128916042</link><guid>https://blog.youkuaiyun.com/biubiubiu123321/article/details/128916042</guid><author>biubiubiu123321</author><pubDate>Tue, 07 Feb 2023 11:45:00 +0800</pubDate><description><![CDATA[无]]></description><category></category></item><item><title><![CDATA[代码随想录刷题60天 第3天]]></title><link>https://blog.youkuaiyun.com/biubiubiu123321/article/details/128899696</link><guid>https://blog.youkuaiyun.com/biubiubiu123321/article/details/128899696</guid><author>biubiubiu123321</author><pubDate>Mon, 06 Feb 2023 12:36:30 +0800</pubDate><description><![CDATA[无]]></description><category></category></item><item><title><![CDATA[代码随想录刷题60天 第2天]]></title><link>https://blog.youkuaiyun.com/biubiubiu123321/article/details/128877783</link><guid>https://blog.youkuaiyun.com/biubiubiu123321/article/details/128877783</guid><author>biubiubiu123321</author><pubDate>Sat, 04 Feb 2023 00:16:42 +0800</pubDate><description><![CDATA[无]]></description><category></category></item><item><title><![CDATA[代码随想录刷题60天 第1天]]></title><link>https://blog.youkuaiyun.com/biubiubiu123321/article/details/128847441</link><guid>https://blog.youkuaiyun.com/biubiubiu123321/article/details/128847441</guid><author>biubiubiu123321</author><pubDate>Thu, 02 Feb 2023 11:43:12 +0800</pubDate><description><![CDATA[无]]></description><category></category></item><item><title><![CDATA[哈希是什么？为什么哈希存取比较快？]]></title><link>https://blog.youkuaiyun.com/biubiubiu123321/article/details/82860469</link><guid>https://blog.youkuaiyun.com/biubiubiu123321/article/details/82860469</guid><author>biubiubiu123321</author><pubDate>Wed, 26 Sep 2018 22:28:11 +0800</pubDate><description><![CDATA[参照

哈希是什么？为什么哈希存取比较快？
https://www.cnblogs.com/acm-bingzi/p/hash.html]]></description><category></category></item><item><title><![CDATA[P NP NP-complete NP-hard]]></title><link>https://blog.youkuaiyun.com/biubiubiu123321/article/details/82763574</link><guid>https://blog.youkuaiyun.com/biubiubiu123321/article/details/82763574</guid><author>biubiubiu123321</author><pubDate>Tue, 18 Sep 2018 21:19:17 +0800</pubDate><description><![CDATA[Some notes when learning complexity theory:

P: Problems can be solved in polynomial time. For example, multiplication, sort...

NP: The result of NP problem can be verified in polynomial time. For ex...]]></description><category></category></item><item><title><![CDATA[Rank and rref of matrices, dimension, nullspace]]></title><link>https://blog.youkuaiyun.com/biubiubiu123321/article/details/82730476</link><guid>https://blog.youkuaiyun.com/biubiubiu123321/article/details/82730476</guid><author>biubiubiu123321</author><pubDate>Mon, 17 Sep 2018 14:26:35 +0800</pubDate><description><![CDATA[How to calculate the rank of a matrix?

rank: number of pivots in a  matrix.

pivot position: the location that corresponds to a leading 1 in the rref of a matrix.

rref: reduced row echelon form.

Ex...]]></description><category></category></item><item><title><![CDATA[计算机视觉入门之图像噪声的产生和平滑]]></title><link>https://blog.youkuaiyun.com/biubiubiu123321/article/details/79205943</link><guid>https://blog.youkuaiyun.com/biubiubiu123321/article/details/79205943</guid><author>biubiubiu123321</author><pubDate>Tue, 30 Jan 2018 15:07:05 +0800</pubDate><description><![CDATA[使用工具: MATLAB
主要是记录matrix size和sigma参数的大小对平滑效果的影响

第一步：导入原始图像：img = imread('dimash.jpg');
如下：


第二步：加入噪声

加入噪声后的数据：noise_sigma从左到右从上到下依次为5,25,75,255。


第三步：取noise_sigma=75，对其进行高斯平滑处理
高斯曲线方]]></description><category></category></item><item><title><![CDATA[Win7 64位系统下CPU版Tensorflow的安装]]></title><link>https://blog.youkuaiyun.com/biubiubiu123321/article/details/78861907</link><guid>https://blog.youkuaiyun.com/biubiubiu123321/article/details/78861907</guid><author>biubiubiu123321</author><pubDate>Thu, 21 Dec 2017 11:37:08 +0800</pubDate><description><![CDATA[因为我的电脑的显卡是AMD不是NVIDIA，所以装的是CPU版的Tensorflow
（一）安装环境
Win7 64位系统
Python3.5（如果已经装了3.6建议再装一个3.5）

在命令行输入python，可得到版本信息（如下图）
 
 
（二）安装步骤
1. 在命令行窗口输入 pip install tensorflow
在安装成功后准备 import tensorfl]]></description><category></category></item><item><title><![CDATA[基于图像的室内装修风格分类系统（五）---完成图像分类]]></title><link>https://blog.youkuaiyun.com/biubiubiu123321/article/details/52150444</link><guid>https://blog.youkuaiyun.com/biubiubiu123321/article/details/52150444</guid><author>biubiubiu123321</author><pubDate>Mon, 08 Aug 2016 11:33:39 +0800</pubDate><description><![CDATA[图像分类实现]]></description><category></category></item><item><title><![CDATA[基于图像的室内装修风格分类系统（四）---分类器]]></title><link>https://blog.youkuaiyun.com/biubiubiu123321/article/details/52150404</link><guid>https://blog.youkuaiyun.com/biubiubiu123321/article/details/52150404</guid><author>biubiubiu123321</author><pubDate>Mon, 08 Aug 2016 11:31:01 +0800</pubDate><description><![CDATA[分类器的实现]]></description><category></category></item><item><title><![CDATA[基于图像的室内装修风格分类系统（三）---提取纹理特征]]></title><link>https://blog.youkuaiyun.com/biubiubiu123321/article/details/52150317</link><guid>https://blog.youkuaiyun.com/biubiubiu123321/article/details/52150317</guid><author>biubiubiu123321</author><pubDate>Mon, 08 Aug 2016 11:23:36 +0800</pubDate><description><![CDATA[利用灰度共生矩阵提取纹理特征]]></description><category></category></item><item><title><![CDATA[基于图像的室内装修风格分类系统（二）---提取颜色特征]]></title><link>https://blog.youkuaiyun.com/biubiubiu123321/article/details/52150251</link><guid>https://blog.youkuaiyun.com/biubiubiu123321/article/details/52150251</guid><author>biubiubiu123321</author><pubDate>Mon, 08 Aug 2016 11:19:05 +0800</pubDate><description><![CDATA[（一）先记下一些当时看的提取颜色特征的文章  http://blog.youkuaiyun.com/passball/article/details/5204132
//文章主要讲的是特征的定义以及各种特征提取和匹配的方法http://blog.sina.com.cn/s/blog_adf19c8c0101hvhh.html
//（Matlab）实现HSV非等间隔量化--相似判断：欧式距离--输出图片
（二）附]]></description><category></category></item><item><title><![CDATA[基于图像的室内装修风格分类系统（一）---项目介绍]]></title><link>https://blog.youkuaiyun.com/biubiubiu123321/article/details/52150128</link><guid>https://blog.youkuaiyun.com/biubiubiu123321/article/details/52150128</guid><author>biubiubiu123321</author><pubDate>Mon, 08 Aug 2016 11:10:13 +0800</pubDate><description><![CDATA[基于图像的室内装修风格分类系统（一）—项目介绍今年暑期实训的一个项目，总归觉得还是应该整理一下。
需要的开发工具：matlab（我用的是matlab R2015a，我是matlab小白，从0开始的。）
先总体介绍一个这个项目吧。项目一共把图片分类5类：地中海风格、欧式古典、中式古典，现代简约和田园风。给定的训练集共有70张图片，每种风格14张。]]></description><category></category></item><item><title><![CDATA[java连接mysql报错java.lang.ClassNotFoundException: com.mysql.jdbc.Driver]]></title><link>https://blog.youkuaiyun.com/biubiubiu123321/article/details/50878564</link><guid>https://blog.youkuaiyun.com/biubiubiu123321/article/details/50878564</guid><author>biubiubiu123321</author><pubDate>Sun, 13 Mar 2016 16:25:21 +0800</pubDate><description><![CDATA[java连接数据库时出现 java.lang.ClassNotFoundException: com.mysql.jdbc.Driver]]></description><category></category></item><item><title><![CDATA[图形学中的Hermite曲线]]></title><link>https://blog.youkuaiyun.com/biubiubiu123321/article/details/50448655</link><guid>https://blog.youkuaiyun.com/biubiubiu123321/article/details/50448655</guid><author>biubiubiu123321</author><pubDate>Sat, 02 Jan 2016 16:23:19 +0800</pubDate><description><![CDATA[Hermite曲线
       三次Hermite曲线是以法国数学家Charles Hermite命名的。他是三次参数样条曲线的基础。]]></description><category></category></item><item><title><![CDATA[找不到R文件怎么办]]></title><link>https://blog.youkuaiyun.com/biubiubiu123321/article/details/47835913</link><guid>https://blog.youkuaiyun.com/biubiubiu123321/article/details/47835913</guid><author>biubiubiu123321</author><pubDate>Fri, 21 Aug 2015 15:59:21 +0800</pubDate><description><![CDATA[第一次写博客，其实我是个新人，只是写一写在学习过程中自己遇到的问题还有解决方法，嘻嘻。
  有一次明明代码都没有错，就是显示找不到R文件，此时在Build下选择Clean Project就行了。还有其他方法以后再写。]]></description><category></category></item></channel></rss>