<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[dashi3627的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/dashi3627</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; dashi3627]]></copyright><item><title><![CDATA[CV codes代码分类整理合集 《转》]]></title><link>https://blog.youkuaiyun.com/dashi3627/article/details/101244654</link><guid>https://blog.youkuaiyun.com/dashi3627/article/details/101244654</guid><author>dashi3627</author><pubDate>Tue, 10 Sep 2013 09:49:00 +0800</pubDate><description><![CDATA[from:http://www.sigvc.org/bbs/thread-72-1-1.html





一、特征提取Feature Extraction： SIFT [1] [Demo program][SIFT Library] [VLFeat] PCA-SIFT [2] [Project] Affine-SIFT [3] [Project] SUR...]]></description><category></category></item><item><title><![CDATA[程序员杂志201302:深度学习——机器学习的新浪潮]]></title><link>https://blog.youkuaiyun.com/dashi3627/article/details/101244652</link><guid>https://blog.youkuaiyun.com/dashi3627/article/details/101244652</guid><author>dashi3627</author><pubDate>Wed, 26 Jun 2013 17:03:00 +0800</pubDate><description><![CDATA[转载于:https://www.cnblogs.com/bianbinbin/p/3156892.html]]></description><category></category></item><item><title><![CDATA[[转] 无监督特征学习——Unsupervised feature learning and deep learning]]></title><link>https://blog.youkuaiyun.com/dashi3627/article/details/101244650</link><guid>https://blog.youkuaiyun.com/dashi3627/article/details/101244650</guid><author>dashi3627</author><pubDate>Mon, 24 Jun 2013 11:16:00 +0800</pubDate><description><![CDATA[　　from:http://blog.youkuaiyun.com/abcjennifer/article/details/7804962
无监督学习近年来很热，先后应用于computer vision, audio classification和 NLP等问题，通过机器进行无监督学习feature得到的结果，其accuracy大多明显优于其他方法进行training。本文将主要针对Andrew的...]]></description><category></category></item><item><title><![CDATA[[转]计算机视觉文献与代码资源]]></title><link>https://blog.youkuaiyun.com/dashi3627/article/details/101244653</link><guid>https://blog.youkuaiyun.com/dashi3627/article/details/101244653</guid><author>dashi3627</author><pubDate>Mon, 24 Jun 2013 11:11:00 +0800</pubDate><description><![CDATA[CVonline


http://homepages.inf.ed.ac.uk/rbf/CVonline
http://homepages.inf.ed.ac.uk/rbf/CVonline/unfolded.htm
http://homepages.inf.ed.ac.uk/rbf/CVonline/CVentry.htm

李子青的大作：
Markov Ran...]]></description><category></category></item><item><title><![CDATA[（转）深度学习(Deep Learning, DL)的相关资料总结]]></title><link>https://blog.youkuaiyun.com/dashi3627/article/details/101244648</link><guid>https://blog.youkuaiyun.com/dashi3627/article/details/101244648</guid><author>dashi3627</author><pubDate>Mon, 24 Jun 2013 10:47:00 +0800</pubDate><description><![CDATA[from：http://blog.sciencenet.cn/blog-830496-679604.html
深度学习(Deep Learning，DL)的相关资料总结

有人认为DL是人工智能的一场革命，貌似很NB。要好好学学。

0  第一人（提出者）
  好像是由加拿大多伦多大学计算机系(Department of Computer Science,Uni...]]></description><category></category></item><item><title><![CDATA[（转）机器学习——深度学习(Deep Learning)]]></title><link>https://blog.youkuaiyun.com/dashi3627/article/details/101244646</link><guid>https://blog.youkuaiyun.com/dashi3627/article/details/101244646</guid><author>dashi3627</author><pubDate>Mon, 24 Jun 2013 10:40:00 +0800</pubDate><description><![CDATA[　　from:http://blog.youkuaiyun.com/abcjennifer/article/details/7826917
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、模拟人脑进行分析学习的神经网络，最近研究了机器学习中一些深度学习的相关知识，本文给出一些很有用的资料和心得。

Key Words：有监督学习与无监督学习，分类、回归，密度估计...]]></description><category></category></item><item><title><![CDATA[(转)Deep Learning深度学习相关入门文章汇摘]]></title><link>https://blog.youkuaiyun.com/dashi3627/article/details/101244651</link><guid>https://blog.youkuaiyun.com/dashi3627/article/details/101244651</guid><author>dashi3627</author><pubDate>Sat, 22 Jun 2013 09:56:00 +0800</pubDate><description><![CDATA[　　from:http://farmingyard.diandian.com/post/2013-04-07/40049536511
来源：十一城http://elevencitys.com/?p=1854
深度学习是机器学习研究中的一个新的领域，其动机在于建立、模拟人脑进行分析学习的神经网络，它模仿人脑的机制来解释数据，例如图像，声音和文本。深度学习是无监督学习的一种。
深度学...]]></description><category></category></item><item><title><![CDATA[(转)Haar-like矩形遍历检测窗口演示Matlab源代码]]></title><link>https://blog.youkuaiyun.com/dashi3627/article/details/101244649</link><guid>https://blog.youkuaiyun.com/dashi3627/article/details/101244649</guid><author>dashi3627</author><pubDate>Tue, 18 Jun 2013 15:15:00 +0800</pubDate><description><![CDATA[from：http://blog.sina.com.cn/s/blog_736aa0540101kzqb.html


clc; clear; close all;
% Haar-like特征矩形计算
board = 24% 检测窗口宽度num = 24...]]></description><category></category></item><item><title><![CDATA[(转...)图像处理与计算机视觉 基础、经典以及最近发展]]></title><link>https://blog.youkuaiyun.com/dashi3627/article/details/101244647</link><guid>https://blog.youkuaiyun.com/dashi3627/article/details/101244647</guid><author>dashi3627</author><pubDate>Wed, 12 Jun 2013 17:23:00 +0800</pubDate><description><![CDATA[[-]

图像处理与计算机视觉基础经典以及最近发展

一 绪论

为什么要写这篇文章
图像处理和计算机视觉的分类
图像处理和计算机视觉开源库以及编程语言选择
本文的特点和结构以及适合的对象

二 图像处理与计算机视觉相关的书籍

数学
信号处理

经典信号处理
随机信号处理
小波变换
信息论

模式识别
图像处理与计算机视觉的书籍推荐
小...]]></description><category></category></item></channel></rss>