<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[azure_figurebar的专栏]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/azure_figurebar</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; azure_figurebar]]></copyright><item><title><![CDATA[Hough Translation & Line Detection & Circle Detection]]></title><link>https://blog.youkuaiyun.com/azure_figurebar/article/details/76360052</link><guid>https://blog.youkuaiyun.com/azure_figurebar/article/details/76360052</guid><author>azure_figurebar</author><pubDate>Sun, 30 Jul 2017 02:26:41 +0800</pubDate><description><![CDATA[Hough Translation1.11.21.3Line Detection2.12.22.3Circle Detection3.13.23.3]]></description><category></category></item><item><title><![CDATA[Harris Corner Detection&image Matching]]></title><link>https://blog.youkuaiyun.com/azure_figurebar/article/details/76360050</link><guid>https://blog.youkuaiyun.com/azure_figurebar/article/details/76360050</guid><author>azure_figurebar</author><pubDate>Sun, 30 Jul 2017 02:23:49 +0800</pubDate><description><![CDATA[理解图像特征 
understand image feature  
So now we answered our question, “what are these features?”.  
But next question arises. How do we find them?  
Or how do we find the corners?. Some corners of the bu]]></description><category></category></item><item><title><![CDATA[SubLime Text从控制台输入问题]]></title><link>https://blog.youkuaiyun.com/azure_figurebar/article/details/76223429</link><guid>https://blog.youkuaiyun.com/azure_figurebar/article/details/76223429</guid><author>azure_figurebar</author><pubDate>Fri, 28 Jul 2017 01:54:18 +0800</pubDate><description><![CDATA[sublime TEXT从控制台输入变量值，敲回车，总是不起作用，懊恼了半天，终于找到答案了：1 首先有SublimeREPL应该就可以调试了，输入没问题，2 调试的时候记得选 tools->SublimeREPL->python->run current file 或者 pdb current file (pdb 是调试工具，类似gdb) ，3 记着不要用缺省的build 或者 ctrl-B]]></description><category></category></item><item><title><![CDATA[配置Sublime Text3为Python IDE]]></title><link>https://blog.youkuaiyun.com/azure_figurebar/article/details/76168069</link><guid>https://blog.youkuaiyun.com/azure_figurebar/article/details/76168069</guid><author>azure_figurebar</author><pubDate>Thu, 27 Jul 2017 01:22:33 +0800</pubDate><description><![CDATA[Sublime Text to be a beautiful IDE如何配置一个漂亮的IDE，方便我们程序员编程，非常关键，下面本人介绍一款非常优秀便捷的Sublime Text编辑器，并阐述如何配置为希望的IDE样式：sublime Text是一种文本编辑器，同时可以经过配置成为非常好的编程IDE,  可应用与Python， C++， Java等编程语言。本人从切身安装配置经历，阐述如何配置IDE]]></description><category></category></item><item><title><![CDATA[光流法深度剖析与总结]]></title><link>https://blog.youkuaiyun.com/azure_figurebar/article/details/75453438</link><guid>https://blog.youkuaiyun.com/azure_figurebar/article/details/75453438</guid><author>azure_figurebar</author><pubDate>Thu, 20 Jul 2017 02:52:30 +0800</pubDate><description><![CDATA[Optical Flow一、 光流光流的概念是Gibson在1950年首先提出来的。它是空间运动物体在观察成像平面上的像素运动的瞬时速度，是利用图像序列中像素在时间域上的变化以及相邻帧之间的相关性来找到上一帧跟当前帧之间存在的对应关系，从而计算出相邻帧之间物体的运动信息的一种方法。一般而言，光流是由于场景中前景目标本身的移动、相机的运动，或者两者的共同运动所产生的。其计算方法可以分为三类：（1）基于]]></description><category></category></item><item><title><![CDATA[欢迎使用优快云-markdown编辑器]]></title><link>https://blog.youkuaiyun.com/azure_figurebar/article/details/75332369</link><guid>https://blog.youkuaiyun.com/azure_figurebar/article/details/75332369</guid><author>azure_figurebar</author><pubDate>Wed, 19 Jul 2017 01:01:33 +0800</pubDate><description><![CDATA[欢迎使用Markdown编辑器写博客本Markdown编辑器使用StackEdit修改而来，用它写博客，将会带来全新的体验哦：
Markdown和扩展Markdown简洁的语法
代码块高亮
图片链接和图片上传
LaTex数学公式
UML序列图和流程图
离线写博客
导入导出Markdown文件
丰富的快捷键
快捷键
加粗    Ctrl + B 
斜体    Ctrl + I 
引用    Ctrl]]></description><category></category></item><item><title><![CDATA[ddedeep learr'n机器学习]]></title><link>https://blog.youkuaiyun.com/azure_figurebar/article/details/41413799</link><guid>https://blog.youkuaiyun.com/azure_figurebar/article/details/41413799</guid><author>azure_figurebar</author><pubDate>Sun, 23 Nov 2014 18:52:21 +0800</pubDate><description><![CDATA[﻿﻿
机器学习——深度学习(Deep Learning) 
分类： 
Machine Learning 2012-08-04 09:49 
114365人阅读 评论(64)
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algorithmclassificationfeaturesfunctionhierarchy

Deep Learning是机器学习中一个非常接近AI的领域，其动机在于建立、模拟人脑进行]]></description><category></category></item><item><title><![CDATA[ICCv13,parts]]></title><link>https://blog.youkuaiyun.com/azure_figurebar/article/details/41130157</link><guid>https://blog.youkuaiyun.com/azure_figurebar/article/details/41130157</guid><author>azure_figurebar</author><pubDate>Fri, 14 Nov 2014 23:36:31 +0800</pubDate><description><![CDATA[ICCV13,统计与机器学习部分

大多数是前天晚上读的- -还是有好多下载不到。
这次笔记包括一个来自清华的Transfer Learning的PCA。
还有一些有趣的距离学习和众多的子空间分解的工作。


从人人搬运比较麻烦啊。。


Statistical methods and learning

__73     Group Norm for Learning S]]></description><category></category></item><item><title><![CDATA[2013 results(29 Aug,2013)]]></title><link>https://blog.youkuaiyun.com/azure_figurebar/article/details/41130029</link><guid>https://blog.youkuaiyun.com/azure_figurebar/article/details/41130029</guid><author>azure_figurebar</author><pubDate>Fri, 14 Nov 2014 23:29:01 +0800</pubDate><description><![CDATA[ICCV 2013 Results (29 Aug, 2013)
Papers submitted: 1629
Withdrawals and administrative rejections: 128
Accepted as Orals: 41 (2.52% oral acceptance rate)
Accepted as Posters: 413 (27.87% total acc]]></description><category></category></item></channel></rss>