This example imports a text file into a database table using ADO. Because it uses ADO, it should work with all data sources, though it has only been tested with Access. Usage is explained in the code s comments.
標簽： ADO database Because example
上傳時間： 2013-12-27
上傳用戶：1079836864
Frequency Scale Conversion From f To f Scale frq2mel mel2frq mel The mel scale is based on the human perception of sinewave pitch. frq2erb erb2frq erb The erb scale is based on the equivalent rectangular bandwidths of the human ear. frq2midi midi2frq midi The midi standard specifies a numbering of semitones with middle C being 60. They can use the normal equal tempered scale or else the pythagorean scale of just intonation. They will in addition output note names in a character format.
標簽： Scale Conversion Frequency mel
上傳時間： 2015-06-07
上傳用戶：
Based on 80C196MC One-chip Computer Frequency Conversion Rapid System of Accent Design Program Listing
標簽： Conversion Frequency Computer One-chip
上傳時間： 2015-06-11
上傳用戶：我們的船長
A C++ N-grams Package 2.0 This is a simple C++ n-grams package that includes a header, the corresponding cpp file, and a sample driver program. It is a natural language processing tool for creating n-gram profiles for text documents. The details on usage is documented in the header right above each public function defined. This package is based on Dr. Vlado Keselj s Perl package Text::Ngrams which is available in CPAN.
標簽： includes correspo N-grams Package
上傳時間： 2015-06-12
上傳用戶：wfl_yy
appendfile:This program appends text to an existing file.
標簽： appendfile existing program appends
上傳時間： 2014-01-11
上傳用戶：戀天使569
uc/gui低版本的text控件不能settext，這兩個文件添加后即可settext
上傳時間： 2015-06-13
上傳用戶：330402686
gaussian_model,color based segmentation,draw ellipse may used in face detection
標簽： gaussian_model segmentation detection ellipse
上傳時間： 2015-06-13
上傳用戶：yuchunhai1990
color based segment in YCbCr space
上傳時間： 2015-06-13
上傳用戶：84425894
bayeserr - Computes the Bayesian risk for optimal classifier. ％ bayescln - Classifier based on Bayes decision rule for Gaussians. ％ bayesnd - Discrim. function, dichotomy, max aposteriori probability. ％ bhattach - Bhattacharya s upper limit of mean class. error. ％ pbayescln - Plots discriminat function of Bayes classifier.
標簽： Classifier classifier bayeserr Computes
上傳時間： 2015-06-14
上傳用戶：sunjet
The EM algorithm is short for Expectation-Maximization algorithm. It is based on an iterative optimization of the centers and widths of the kernels. The aim is to optimize the likelihood that the given data points are generated by a mixture of Gaussians. The numbers next to the Gaussians give the relative importance (amplitude) of each component.
標簽： algorithm Expectation-Maximization iterative optimi
上傳時間： 2015-06-17
上傳用戶：獨孤求源
