Metalworks is a simple Swing-based simulated e-mail application. It shows off several features of Swing, including JInternalFrame, JTabbedPane, JFileChooser, JEditorPane, and JRadioButtonMenuItem. Metalworks is optimized to work with the Java look and feel (codenamed "Metal") and shows use of several features, such as themes, that are specific to the Java look and feel.
標簽： Swing-based application Metalworks simulated
上傳時間： 2015-05-30
上傳用戶：lizhen9880
How to Think Like a Computer Scientist Learning with Python 學習linux下Python腳本的必備書籍
標簽： Python Scientist Computer Learning
上傳時間： 2014-10-29
上傳用戶：heart520beat
There are some 79 or so Matlab files here which will help in many aspects of the computer vision structure from motion problem, a full description is provided in the manual, torrsam.ps.
標簽： computer aspects Matlab vision
上傳時間： 2014-01-02
上傳用戶：xlcky
foundation of computer graphics 電腦的圖形基礎入門, 工具運用是MATLAB
標簽： foundation computer graphics MATLAB
上傳時間： 2015-06-02
上傳用戶：aappkkee
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：
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
Memtest86 is thorough, stand alone memory test for Intel/AMD x86 architecture systems. BIOS based memory tests are only a quick check and often miss failures that are detected by Memtest86.
標簽： architecture thorough Memtest systems
上傳時間： 2014-11-30
上傳用戶：hn891122
