adaboost
所属分类：模式识别(视觉/语音等)
开发工具：C/C++
文件大小：891KB
下载次数：3
上传日期：2018-05-08 14:42:12
上 传 者：
1111122222222
说明： matlab中可运行的adaboost人脸识别算法
(Adaboost face recognition algorithm that can run in matlab)
文件列表:
adaboost\Adaboost\adaboostM1.m (8360, 2017-07-26)
adaboost\Adaboost\knn.m (659, 2010-10-22)
adaboost\Adaboost\main.m (747, 2017-07-26)
adaboost\Adaboost\resample.m (1253, 2004-10-10)
adaboost\Adaboost\usps.mat (514824, 2002-07-25)
adaboost\ADABOOST_te.m (2922, 2016-09-09)
adaboost\ADABOOST_tr.m (4452, 2008-09-03)
adaboost\demo.asv (1851, 2016-08-25)
adaboost\demo1.m (2411, 2017-07-16)
adaboost\images\train\negatives\Big-Leaf-Maple-Trees-along-the-Quinault-River.-Quinault-Rain-Forest,-Washington.jpg (265382, 2011-03-05)
adaboost\images\train\negatives\maple-trees-12_4.jpg (370273, 2011-03-05)
adaboost\likelihood2class.m (812, 2008-09-03)
adaboost\threshold_te.m (1467, 2008-09-03)
adaboost\threshold_tr.asv (2235, 2016-08-29)
adaboost\threshold_tr.m (2222, 2008-09-03)
adaboost\images\train\negatives (0, 2016-08-29)
adaboost\images\train\positives (0, 2016-08-29)
adaboost\images\train (0, 2016-08-29)
adaboost\Adaboost (0, 2018-01-05)
adaboost\images (0, 2016-08-29)
adaboost (0, 2018-01-05)
README
--------
Directory contains the following files.
1. ADABOOST_te.m
2. ADABOOST_tr.m
3. demo.m
4. likelihood2class.m
5. threshold_te.m
6. threshold_tr.m
The aim of the project is to provide a source of the
meta-learning algorithm known as AdaBoost to improve
the performance of the user-defined classifiers.
To make use of adaboost, first two functions must be
run with the appropriate parameters. The explanation
of each source file is available with "help" command.
To see how they work, run demo.m as
>> demo
First three lines in demo.m specifies the training and
testing set size and the number of weak (threshold)
classifiers.
For bug reporting and for comments do not hesitate to
send e-mail to the author.
Cuneyt Mertayak
email: cuneyt.mertayak@gmail.com
version: 1.0
date: 03/09/2008
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