GraphCut Minimization Library 转换成 VC++6.0 Class File
标签： Minimization GraphCut Library Class
上传时间： 2015-06-09
上传用户：wangchong
This class implements the same API as the Java 1.3 java.util.TimerTask. * Note that a TimerTask can only be scheduled on one Timer at a time, but * that this implementation does not enforce that constraint.
标签： TimerTask implements the class
上传时间： 2015-06-10
上传用户：无聊来刷下
设计文档基本内容如下： 1) 整体框架 2) 词法分析 Class CTokenizer Class CScaner C关键字表 标识符词法 3) 语法分析 Class CParser Grammar 基本树形结构 支持的语句及运算 4) 建立符号表 Class LineListRec Class BucketListRec Class CSymbolTable Class CFunArgsCheck 5) 类型检测 Class CAnalyzer 类型匹配 函数调用参数检测 6) 代码生成 PCode 80X86 ASM 7) 总结 详细内容请阅读本文提供的设计文档与全部源代码。
标签： Class CTokenizer CScaner 分
上传时间： 2014-01-11
上传用户：qiaoyue
图解PFC(Powerbuilder Foundation Class)学习
标签： Powerbuilder Foundation Class PFC
上传时间： 2015-06-14
上传用户：zhangzhenyu
a non-sharing smart pointer class that can be used with STL containers such as std::map, vector, list, set, and deque. The smart pointer has an assignment operator and greater than operator that call the target object s operator.
标签： non-sharing containers pointer vector
上传时间： 2015-06-15
上传用户：Late_Li
Visual Basic 6.0 Run-time Files
标签： Run-time Visual Basic Files
上传时间： 2015-06-17
上传用户：guanliya
Visual Basic 5.0 Run-time Files
标签： Run-time Visual Basic Files
上传时间： 2013-12-18
上传用户：kbnswdifs
This is my assignment for my tutor s Class. and many problems exist,so you should comprhend it and improve it to perfect.
标签： assignment and comprhend problems
上传时间： 2015-06-22
上传用户：jyycc
Included are the files wav1.m, wav2.m, wavecoef.mat and readme. wav2 function implements the tree structured wavelet transform of the input matrix, up to the given level of decomposition. Wav2 uses another function called wav1, which takes the well known wavelet transform of the given matrix. Daubechies wavelet coefficients are used for wavelet transform operation wahich is saved in wavcoeff.mat.
标签： implements the wav Included
上传时间： 2015-06-23
上传用户：爱死爱死
A series of .c and .m files which allow one to perform univariate and bivariate wavelet analysis of discrete time series. Noother wavelet package is necessary -- everything is contained in this archive. The C-code computes the DWT and maximal overlap DWT. MATLAB routines are then used to compute such quantities as the wavelet variance, covariance, correlation, cross-covariance and cross-correlation. Approximate confidence intervals are available for all quantities except the cross-covariance and cross-correlation. A set of commands is provided. For a description of this example, please see http://www.eurandom.tue.nl/whitcher/software/.
标签： univariate and bivariate analysis
上传时间： 2015-06-23
上传用户：chongcongying
