yunluoxingE-CSDN博客

原创初识Django

当你安装好了python,django和(可选的)数据库及相关库,你就可以通过创建一个project项目 (本人安装软件信息： Python 2.7.4 mysql5.5.34-0ubuntu0.13.04.1 ) 项目是 Django 实例的一系列设置的集合,它包括数据库配置、Django 特定选项以及应用程序的特定设置。如果第一次使用 Django,必须进行

2013-11-24 00:43:02 497

原创在ubuntu下的快速安装mysql和 Python MySQLdb

最近学习python，本人使用的是ubuntu，虽说linux环境下，安装方式差不多，但是还是存在一些差别的，例如一些默认安装程序，它的路径就存在差别，这会影起一些连锁反应，如果安装一些逻辑相关的软件的时候，就会报错，所以如果查询相关资料，楼主还是建议对症下药。当然如果有能力的话，楼主还是建议使用编译安装的方式，这样容易了解软件的一些机制。在终端中输入:1. s

2013-11-23 16:38:42 1373

转载 Ubuntu下使用局域网中windows 共享打印机

单位工作性质的特殊性导致必须使用ms windows作为工作站，一台老计算机在网络中充当了打印机服务器、网络狗server、文件中转站的角色~ 我的笔记本上作为自己的私有财产当然装了双系统作为平时使用~ubuntu 7.10 平时学习、娱乐使用，windowsxp作为单纯娱乐。因为经常在ubuntu下学习，看到一些好的资料就想打印出来保存（无纸化我看是没有可能了~哈哈），但是之前怎么设

2013-11-05 14:32:32 3010

转载 systemtap安装

由于 systemtap 运行需要内核的调试信息支撑，默认发行版的内核在配置时这些调试开关没有打开，所以安装完systemtap也是无法去探测内核信息的。下面我以两种方式安装并运行 systemtap：方法一编译内核以支持systemtap我们重新编译内核让其支持systemtap，首先你想让内核中有调试信息，编译内核时需要加上 -g 标志；其次，你还需要在配置内核时将

2013-10-17 17:02:33 809

原创 systemtap 语法简谈

To knowwhichvariables are likely to be available, you will need to be familiar withthekernel source you are probing. 标识符标识符用于表示变量名和函数名，一般由字母数字序列构成，也包括下划线(_)和美元符号($)除了$也是合法的语法之外，它们与C语言标识符的语法一样。标识

2013-09-29 21:30:11 1538

原创 system tap简单使用

最近学习system tap的一些使用，虽然目前还是对于linux内核学习还是很菜的菜鸟，作为处女作，希望大家勿喷。systemtap是一种检查内核运行情况的工具，它允许开发者和管理员编写和重新使用简单脚本深入检查一个正在运行的linux系统的活动。可以快速安全地提取、筛选、总结相关活动的数据，来诊断分析linux内核复杂的性能或者函数功能问题。systemtap脚本的重要思想是指定事件（

2013-09-28 23:21:24 1443

crc-press-official-isc2-guide-to-the-csslp-cbk-2nd-2014

2019-04-29

商品搭配论文 DeepStyle: Multimodal Search Engine for Fashion and Interior Design

Abstract—In this paper, we propose a multimodal search engine that combines visual and textual cues to retrieve items from a multimedia database aesthetically similar to the query. The goal of our engine is to enable intuitive retrieval of fashion merchandise such as clothes or furniture. Existing search engines treat textual input only as an additional source of information about the query image and do not correspond to the reallife scenario where the user looks for ”the same shirt but of denim”. Our novel method, dubbed DeepStyle, mitigates those shortcomings by using a joint neural network architecture to model contextual dependencies between features of different modalities. We prove the robustness of this approach on two different challenging datasets of fashion items and furniture where our DeepStyle engine outperforms baseline methods by 18-21% on the tested datasets. Our search engine is commercially deployed and available through a Web-based application.

2018-11-15

云计算核心技术剖析

这是一本讲解云计算方面非常全面的书籍，适合了解云计算的初学者。

2015-12-25

Machine Learning- A Probabilistic Perspective

Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach. The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package--PMTK (probabilistic modeling toolkit)--that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.

2014-11-13