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FL
  • Classification:Communications / Mobile - android
  • Development Tool:Java
  • Sise:439 KB
  • Upload time:2011/5/17 13:38:52
  • Uploader:aphrodize
  • Download Statistics:
Description
Juv


ic_launcher.png

File list:
FL
.\assets
.\bin
.\...\classes
.\...\.......\com
.\...\.......\...\fl
.\...\.......\...\..\AndroidCamera$AudioThread.class
.\...\.......\...\..\AndroidCamera$ClientHandler.class
.\...\.......\...\..\AndroidCamera$NetConnectionListener$1.class
.\...\.......\...\..\AndroidCamera$NetConnectionListener.class
.\...\.......\...\..\AndroidCamera.class
.\...\.......\...\..\Live.class
.\...\.......\...\..\R$attr.class
.\...\.......\...\..\R$drawable.class
.\...\.......\...\..\R$id.class
.\...\.......\...\..\R$layout.class
.\...\.......\...\..\R$string.class
.\...\.......\...\..\R.class
.\...\.......\...\..\RemoteUtil.class
.\...\res
.\...\...\drawable-hdpi
.\...\...\.............\ic_launcher.png
ic_launcher.png
.\...\...\drawable-ldpi
.\...\...\.............\ic_launcher.png
ic_launcher.png
.\...\...\drawable-mdpi
.\...\...\.............\ic_launcher.png
ic_launcher.png
.\...\classes.dex
.\...\FL.apk
.\...\resources.ap_
.\gen
.\...\com
.\...\...\fl
.\...\...\..\R.java
.\lib
.\...\juv-rtmp-client-1.5.12.jar
.\res
.\...\drawable-hdpi
.\...\.............\ic_launcher.png
ic_launcher.png
.\...\drawable-ldpi
.\...\.............\ic_launcher.png
ic_launcher.png
.\...\drawable-mdpi
.\...\.............\ic_launcher.png
ic_launcher.png
.\...\layout
.\...\......\main.xml
.\...\values
.\...\......\strings.xml
.\src
.\...\com
.\...\...\fl
.\...\...\..\AndroidCamera.java
.\...\...\..\Live.java
.\...\...\..\RemoteUtil.java
.\.classpath
.\.project
.\AndroidManifest.xml
.\proguard.cfg
.\project.properties
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Related source code
[Android floating button sample] - Android floating button sample
[Load Flow] - Load flow using backward forward sweep method
[FLD Based Face Recognition] - This package implements a well-known FLD-based face recognition method, which is called 'Fisherface' [1]. All functions are easy to use, as they are heavy commented. Furtheremore, a sample script is included to showe their usage. In general, you should follow this order: 1. Select training and test database paths. 2. Select path of the test image. 3. Run 'CreateDatabase' function to create 2D matrix of all training images. 4. Run 'FisherfaceCore' function to produce basis's of facespace. 5. Run 'Recognition' function to get the name of equivalent image in training database. For your convenience, I have prepared sample training and test databases, which are parts of 'face94' Essex face database [2]. You just need to copy the above functions, along with the training and test databases into a specified path (for example 'work' path of your MATLAB root). Then follow dialog boxes, which will appear upon running 'example.m'.
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[[elearnica.ir]-Application_of_IBSFLA...] - this paper can be useful for fault detection in optimization process.
[[8]-ADC(Programming-whit-JLink-or-Fl...] - set of C language code to set up and work with ADC on ARM MicrocontrollerTYPE NXP
[Flight-Tracking] - Automatic Flight Tracking
[Efloys] - Efloys AI application
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