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人工智能/神经网络 Face recognition eigen-based by Santiago Serrano
Face recognition eigen-based by Santiago Serrano
Java编程 Metalworks is a simple Swing-based simulated e-mail application. It shows off several features of S
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 severa ...
matlab例程 Frequency Scale Conversion From f To f Scale frq2mel mel2frq mel The mel scale is based on the hu
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 o ...
其他 ana modulation feature extraction
ana modulation feature extraction
驱动编程 W2kPrintDrvSample Feature ======= * Support two page directions, portrait and landscape * Sup
W2kPrintDrvSample
Feature
=======
* Support two page directions, portrait and landscape
* Support just one page size, A4
* Support two resolutions, 200 x 200 and 100 x 100 dpi
* Support two color mode, color(24bpp) and monochrom
* Support halftoning in monochromatic mode
* Support color identi ...
单片机开发 Based on 80C196MC One-chip Computer Frequency Conversion Rapid System of Accent Design Program Listi
Based on 80C196MC One-chip Computer Frequency Conversion Rapid System of Accent Design Program Listing
人工智能/神经网络 gaussian_model,color based segmentation,draw ellipse may used in face detection
gaussian_model,color based segmentation,draw ellipse may used in face detection
人工智能/神经网络 color based segment in YCbCr space
color based segment in YCbCr space
人工智能/神经网络 bayeserr - Computes the Bayesian risk for optimal classifier. % bayescln - Classifier based on Baye
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 f ...
人工智能/神经网络 The EM algorithm is short for Expectation-Maximization algorithm. It is based on an iterative optimi
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 re ...