Hibernate: A Developer s Notebook shows you how to use Hibernate to automate persistence: you write natural Java objects and some simple configuration files, and Hibernate automates all the interaction between your objects and the database. You don t even need to know the database is there, and you can change from one database to another simply by Changing a few statements in a configuration file. If you ve needed to add a database backend to your application, don t put it off. It s much more fun than it used to be, and Hibernate: A Developer s Notebook shows you why.
標(biāo)簽： Hibernate persistence Developer you
上傳時間： 2016-04-07
上傳用戶：123啊
A Web Tutorial on Discrete Features of Bayes Decision Theory This applet allows for the calculation of the decision boundary given a three dimensional feature vector. Specifically, by stipulating the variables such as the priors, and the conditional likelihoods of each feature with respect to each class, the Changing decision boundary will be displayed.
標(biāo)簽： calculation Tutorial Discrete Decision
上傳時間： 2013-12-22
上傳用戶：hxy200501
This demo shows the use of the PWM block in generating the pulse waveform whose duty cycle is Changing regularly. The PWM waveform period is variable, while the width of the pulse remains constant.
標(biāo)簽： the generating waveform changi
上傳時間： 2014-01-15
上傳用戶：kr770906
This example demonstrates the use of the ADC block and PWM blocks. The generated DSP code produces the pulse waveform whose duty cycle is Changing as the voltage applied to ADC input changes. The waveform period is kept constant.
標(biāo)簽： demonstrates the generated produces
上傳時間： 2016-05-17
上傳用戶：sjyy1001
pca人臉識別This package implements basic Principal Component Analysis in Matlab and tests is with grayscale portion of the FERET database. Images are not preprocessed and it is up to the user to preprocess the images as wanted, not Changing the filenames
標(biāo)簽： implements Principal Component Analysis
上傳時間： 2014-01-03
上傳用戶：佳期如夢
PCA人臉識別 This package implements basic Principal Component Analysis in Matlab and tests is with grayscale portion of the FERET database. Images are not preprocessed and it is up to the user to preprocess the images as wanted, not Changing the filenames
標(biāo)簽： implements Component Principal Analysis
上傳時間： 2016-06-25
上傳用戶：trepb001
PCA人臉識別 This package implements basic Principal Component Analysis in Matlab and tests is with grayscale portion of the FERET database. Images are not preprocessed and it is up to the user to preprocess the images as wanted, not Changing the filenames
標(biāo)簽： implements Component Principal Analysis
上傳時間： 2016-06-25
上傳用戶：hakim
PCA人臉識別 This package implements basic Principal Component Analysis in Matlab and tests is with grayscale portion of the FERET database. Images are not preprocessed and it is up to the user to preprocess the images as wanted, not Changing the filenames
標(biāo)簽： implements Component Principal Analysis
上傳時間： 2016-06-25
上傳用戶：cylnpy
PCA人臉識別 This package implements basic Principal Component Analysis in Matlab and tests is with grayscale portion of the FERET database. Images are not preprocessed and it is up to the user to preprocess the images as wanted, not Changing the filenames
標(biāo)簽： implements Component Principal Analysis
上傳時間： 2013-12-16
上傳用戶：JIUSHICHEN
Multirate filters provide a practical approach to designing and implementing finite response (FIR) filters with narrow spectral constraints. By Changing the input data rate at one or more intermediate points the filter lengths and computational rates can be greatly reduced when compared to a standard single-rate filter implementation.
標(biāo)簽： implementing Multirate designing practical
上傳時間： 2016-07-01
上傳用戶：dengzb84
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