<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[visionfans的专栏]]></title><description><![CDATA[Deep Learning]]></description><link>https://blog.youkuaiyun.com/visionfans</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; visionfans]]></copyright><item><title><![CDATA[Matplotlib imshow() not show whole image]]></title><link>https://blog.youkuaiyun.com/visionfans/article/details/50510562</link><guid>https://blog.youkuaiyun.com/visionfans/article/details/50510562</guid><author>visionfans</author><pubDate>Wed, 13 Jan 2016 14:35:53 +0800</pubDate><description><![CDATA[imshow() subplots with shared axes generate unwanted white spaces #1789]]></description><category></category></item><item><title><![CDATA[sequence training]]></title><link>https://blog.youkuaiyun.com/visionfans/article/details/50472361</link><guid>https://blog.youkuaiyun.com/visionfans/article/details/50472361</guid><author>visionfans</author><pubDate>Wed, 06 Jan 2016 23:09:51 +0800</pubDate><description><![CDATA[Sequence training is short for sequence discriminative training.Reference
Voigtlaender, Paul, et al. “Sequence-discriminative training of recurrent neural networks.” Acoustics, Speech and Signal Proces]]></description><category></category></item><item><title><![CDATA[configure with MKL]]></title><link>https://blog.youkuaiyun.com/visionfans/article/details/50462160</link><guid>https://blog.youkuaiyun.com/visionfans/article/details/50462160</guid><author>visionfans</author><pubDate>Tue, 05 Jan 2016 14:03:58 +0800</pubDate><description><![CDATA[../configure CXXFLAGS="-DMKL_ILP64 -fopenmp -m64 -I/opt/intel/mkl/include" LDFLAGS="-Wl,--no-as-needed -L/opt/intel/mkl/lib/intel64" LDLIBS="-lmkl_intel_ilp64 -lmkl_core -lmkl_gnu_thread -ldl"Reference]]></description><category></category></item><item><title><![CDATA[Imbalanced data]]></title><link>https://blog.youkuaiyun.com/visionfans/article/details/50459060</link><guid>https://blog.youkuaiyun.com/visionfans/article/details/50459060</guid><author>visionfans</author><pubDate>Mon, 04 Jan 2016 22:50:04 +0800</pubDate><description><![CDATA[The Impact of Imbalanced Training Data for Convolutional Neural Networks  Following this, oversampling is used on the imbalanced training sets to increase the performances to that of the balanced set.]]></description><category></category></item><item><title><![CDATA[netCDF vs HDF]]></title><link>https://blog.youkuaiyun.com/visionfans/article/details/50450864</link><guid>https://blog.youkuaiyun.com/visionfans/article/details/50450864</guid><author>visionfans</author><pubDate>Sun, 03 Jan 2016 13:34:48 +0800</pubDate><description><![CDATA[Re: netCDF vs HDF
Opinions on NetCDF vs HDF5 for storing scientific data?]]></description><category></category></item><item><title><![CDATA[linux command - sort]]></title><link>https://blog.youkuaiyun.com/visionfans/article/details/50412280</link><guid>https://blog.youkuaiyun.com/visionfans/article/details/50412280</guid><author>visionfans</author><pubDate>Sun, 27 Dec 2015 14:21:22 +0800</pubDate><description><![CDATA[sort by number
use -n 
use -V]]></description><category></category></item><item><title><![CDATA[OpenFST notes]]></title><link>https://blog.youkuaiyun.com/visionfans/article/details/50409849</link><guid>https://blog.youkuaiyun.com/visionfans/article/details/50409849</guid><author>visionfans</author><pubDate>Sat, 26 Dec 2015 19:57:58 +0800</pubDate><description><![CDATA[symbol table
The internal representation of an arc label is an integer.
The symbols are used for I/O purpose.
You can store the symbols table with the FST file or not. If you do, use the options --keep]]></description><category></category></item><item><title><![CDATA[Thrax Tutorial]]></title><link>https://blog.youkuaiyun.com/visionfans/article/details/50408846</link><guid>https://blog.youkuaiyun.com/visionfans/article/details/50408846</guid><author>visionfans</author><pubDate>Sat, 26 Dec 2015 15:49:41 +0800</pubDate><description><![CDATA[Thrax Tutorial
  Thrax is used for compiling grammars expressed as regular expressions and content-dependent rewrite rules into WFSTs.
commands
thraxmakedep 
--save_symbols=true
thraxcompiler 
-input_g]]></description><category></category></item><item><title><![CDATA[Github logo in LaTeX]]></title><link>https://blog.youkuaiyun.com/visionfans/article/details/50393668</link><guid>https://blog.youkuaiyun.com/visionfans/article/details/50393668</guid><author>visionfans</author><pubDate>Thu, 24 Dec 2015 12:26:18 +0800</pubDate><description><![CDATA[fontawesome – Font containing web-related icons 
The pack­age of­fers ac­cess to the large num­ber of web-re­lated icons pro­vided by the in­cluded font. The pack­age re­quires the pack­age, fontspec,]]></description><category></category></item><item><title><![CDATA[kd-tree]]></title><link>https://blog.youkuaiyun.com/visionfans/article/details/50374937</link><guid>https://blog.youkuaiyun.com/visionfans/article/details/50374937</guid><author>visionfans</author><pubDate>Mon, 21 Dec 2015 22:06:05 +0800</pubDate><description><![CDATA[papers:
Silpa-Anan, Chanop, and Richard Hartley. “Optimised KD-trees for fast image descriptor matching.” CVPR 2008. IEEE Conference on. IEEE, 2008.]]></description><category></category></item><item><title><![CDATA[kaldi parallelism]]></title><link>https://blog.youkuaiyun.com/visionfans/article/details/50370386</link><guid>https://blog.youkuaiyun.com/visionfans/article/details/50370386</guid><author>visionfans</author><pubDate>Mon, 21 Dec 2015 10:34:03 +0800</pubDate><description><![CDATA[This post focus on run.pl of local parallelism.run.pl <options> <log-file> <command>
<options>: a job range specifier (e.g. JOB=1:4)
<log-file>: file name for array jobs must contain identifier of the]]></description><category></category></item><item><title><![CDATA[AWK programming]]></title><link>https://blog.youkuaiyun.com/visionfans/article/details/50364148</link><guid>https://blog.youkuaiyun.com/visionfans/article/details/50364148</guid><author>visionfans</author><pubDate>Sun, 20 Dec 2015 14:37:35 +0800</pubDate><description><![CDATA[程序模型pattern { action }变量两种变量
scalar
array
变量名
内建变量大写
全局变量首字母大写
局部变量小写
数组
允许任意数字或字符串做索引
内建变量
  变量
  说明  FILENAME
  input file name
  FNR
  文件的record数
  FS
  field分隔符
  RS
  record分隔符
  NF
  field数
  NR]]></description><category></category></item><item><title><![CDATA[Viterbi training]]></title><link>https://blog.youkuaiyun.com/visionfans/article/details/50360915</link><guid>https://blog.youkuaiyun.com/visionfans/article/details/50360915</guid><author>visionfans</author><pubDate>Sun, 20 Dec 2015 00:08:09 +0800</pubDate><description><![CDATA[Viterbi training has another name  segmental K-means.Within each state, a further alignment of observations to mixture components is made. HTK provides two methods for this: 
1. use clustering to alloc]]></description><category></category></item><item><title><![CDATA[visual vocabulary of binary features]]></title><link>https://blog.youkuaiyun.com/visionfans/article/details/50355649</link><guid>https://blog.youkuaiyun.com/visionfans/article/details/50355649</guid><author>visionfans</author><pubDate>Sat, 19 Dec 2015 00:20:30 +0800</pubDate><description><![CDATA[How to use bag of words example with BRIEF descriptors?
opencv c++ ORB Bag Of Words
How to use bag of words example with BRIEF descriptors?
Is there a way of using ORB with BOW?
DBoW2: Enhanced hierarc]]></description><category></category></item><item><title><![CDATA[kaldi increasing GMM components in the training procedure]]></title><link>https://blog.youkuaiyun.com/visionfans/article/details/50347729</link><guid>https://blog.youkuaiyun.com/visionfans/article/details/50347729</guid><author>visionfans</author><pubDate>Thu, 17 Dec 2015 22:45:05 +0800</pubDate><description><![CDATA[This (continuous Gaussian distribution) allows simple single Gaussian distributions to be used for an initial untied model set where the training data is very patchy. Then once tying has been performed]]></description><category></category></item><item><title><![CDATA[install Adobe Reader on Ubuntu]]></title><link>https://blog.youkuaiyun.com/visionfans/article/details/50344915</link><guid>https://blog.youkuaiyun.com/visionfans/article/details/50344915</guid><author>visionfans</author><pubDate>Thu, 17 Dec 2015 17:46:32 +0800</pubDate><description><![CDATA[How to Install Adobe Reader in Ubuntu 14.10
How do I install Adobe Acrobat Reader from the repository?]]></description><category></category></item><item><title><![CDATA[WFST papers]]></title><link>https://blog.youkuaiyun.com/visionfans/article/details/50339269</link><guid>https://blog.youkuaiyun.com/visionfans/article/details/50339269</guid><author>visionfans</author><pubDate>Thu, 17 Dec 2015 11:27:17 +0800</pubDate><description><![CDATA[M. Mohri, F. C. N. Pereira, and M. Riley. Weighted FiniteState Transducers in Speech Recognition. Computer Speech and Language, 16(1):69–88, 2002.
Allauzen, C., Mohri, M., Riley, M., Roark, B., A Gener]]></description><category></category></item><item><title><![CDATA[customize mac terminal prompt]]></title><link>https://blog.youkuaiyun.com/visionfans/article/details/50330199</link><guid>https://blog.youkuaiyun.com/visionfans/article/details/50330199</guid><author>visionfans</author><pubDate>Wed, 16 Dec 2015 16:54:13 +0800</pubDate><description><![CDATA[Customize Your Shell & Command Prompt
How to Customize the Command Prompt]]></description><category></category></item><item><title><![CDATA[change default text editor to sublime text]]></title><link>https://blog.youkuaiyun.com/visionfans/article/details/50327775</link><guid>https://blog.youkuaiyun.com/visionfans/article/details/50327775</guid><author>visionfans</author><pubDate>Wed, 16 Dec 2015 14:50:49 +0800</pubDate><description><![CDATA[How do I make Sublime Text 3 the default text editor [duplicate]
  Open /usr/share/applications/defaults.list , search for all instances of gedit.desktop and replace them with sublime_text.desktop. Sav]]></description><category></category></item><item><title><![CDATA[useful kaldi posts]]></title><link>https://blog.youkuaiyun.com/visionfans/article/details/50327415</link><guid>https://blog.youkuaiyun.com/visionfans/article/details/50327415</guid><author>visionfans</author><pubDate>Wed, 16 Dec 2015 14:26:23 +0800</pubDate><description><![CDATA[[Kaldi-developers] Baum-Welch training for HMMs]]></description><category></category></item></channel></rss>