登录
首页 » WINDOWS » AdaBoost算法

AdaBoost算法

于 2017-12-23 发布 文件大小:7745KB
0 261
下载积分: 1 下载次数: 17

代码说明:

  用matlab软件,实现adaboost算法。将数据集划分为训练集和测试集,给训练集的数据贴标签,用训练好的模型来测试测试数据的准确度。(Using Matlab to implement the AdaBoost algorithm. The data set is divided into training set and test set to label the data of the training set, and the accuracy of the test data is tested by the trained model.)

文件列表:

adaBoost-master
adaBoost-master\README, 604, 2017-01-03
adaBoost-master\bestLinearClassifier.in, 6705, 2017-01-03
adaBoost-master\classifyExample.m, 1157, 2017-01-03
adaBoost-master\computeIntegralImage.m, 1076, 2017-01-03
adaBoost-master\dataset
adaBoost-master\dataset\TestImages
adaBoost-master\dataset\TestImages\test-0.pgm, 24165, 2017-01-03
adaBoost-master\dataset\TestImages\test-1.pgm, 37690, 2017-01-03
adaBoost-master\dataset\TestImages\test-10.pgm, 30015, 2017-01-03
adaBoost-master\dataset\TestImages\test-100.pgm, 20840, 2017-01-03
adaBoost-master\dataset\TestImages\test-101.pgm, 10850, 2017-01-03
adaBoost-master\dataset\TestImages\test-102.pgm, 10850, 2017-01-03
adaBoost-master\dataset\TestImages\test-103.pgm, 34815, 2017-01-03
adaBoost-master\dataset\TestImages\test-104.pgm, 42043, 2017-01-03
adaBoost-master\dataset\TestImages\test-105.pgm, 37255, 2017-01-03
adaBoost-master\dataset\TestImages\test-106.pgm, 21071, 2017-01-03
adaBoost-master\dataset\TestImages\test-107.pgm, 16655, 2017-01-03
adaBoost-master\dataset\TestImages\test-108.pgm, 39075, 2017-01-03
adaBoost-master\dataset\TestImages\test-109.pgm, 23325, 2017-01-03
adaBoost-master\dataset\TestImages\test-11.pgm, 30015, 2017-01-03
adaBoost-master\dataset\TestImages\test-110.pgm, 39117, 2017-01-03
adaBoost-master\dataset\TestImages\test-111.pgm, 16185, 2017-01-03
adaBoost-master\dataset\TestImages\test-112.pgm, 18936, 2017-01-03
adaBoost-master\dataset\TestImages\test-113.pgm, 30612, 2017-01-03
adaBoost-master\dataset\TestImages\test-114.pgm, 10088, 2017-01-03
adaBoost-master\dataset\TestImages\test-115.pgm, 29902, 2017-01-03
adaBoost-master\dataset\TestImages\test-116.pgm, 20840, 2017-01-03
adaBoost-master\dataset\TestImages\test-117.pgm, 41375, 2017-01-03
adaBoost-master\dataset\TestImages\test-118.pgm, 19335, 2017-01-03
adaBoost-master\dataset\TestImages\test-119.pgm, 9854, 2017-01-03
adaBoost-master\dataset\TestImages\test-12.pgm, 14714, 2017-01-03
adaBoost-master\dataset\TestImages\test-120.pgm, 13314, 2017-01-03
adaBoost-master\dataset\TestImages\test-121.pgm, 21591, 2017-01-03
adaBoost-master\dataset\TestImages\test-122.pgm, 25923, 2017-01-03
adaBoost-master\dataset\TestImages\test-123.pgm, 12302, 2017-01-03
adaBoost-master\dataset\TestImages\test-124.pgm, 18108, 2017-01-03
adaBoost-master\dataset\TestImages\test-125.pgm, 20805, 2017-01-03
adaBoost-master\dataset\TestImages\test-126.pgm, 10639, 2017-01-03
adaBoost-master\dataset\TestImages\test-127.pgm, 17664, 2017-01-03
adaBoost-master\dataset\TestImages\test-128.pgm, 19450, 2017-01-03
adaBoost-master\dataset\TestImages\test-129.pgm, 40731, 2017-01-03
adaBoost-master\dataset\TestImages\test-13.pgm, 50715, 2017-01-03
adaBoost-master\dataset\TestImages\test-130.pgm, 38295, 2017-01-03
adaBoost-master\dataset\TestImages\test-131.pgm, 28923, 2017-01-03
adaBoost-master\dataset\TestImages\test-132.pgm, 52750, 2017-01-03
adaBoost-master\dataset\TestImages\test-133.pgm, 16718, 2017-01-03
adaBoost-master\dataset\TestImages\test-134.pgm, 13294, 2017-01-03
adaBoost-master\dataset\TestImages\test-135.pgm, 22387, 2017-01-03
adaBoost-master\dataset\TestImages\test-136.pgm, 15214, 2017-01-03
adaBoost-master\dataset\TestImages\test-137.pgm, 18195, 2017-01-03
adaBoost-master\dataset\TestImages\test-138.pgm, 13738, 2017-01-03
adaBoost-master\dataset\TestImages\test-139.pgm, 13214, 2017-01-03
adaBoost-master\dataset\TestImages\test-14.pgm, 24315, 2017-01-03
adaBoost-master\dataset\TestImages\test-140.pgm, 23815, 2017-01-03
adaBoost-master\dataset\TestImages\test-141.pgm, 16882, 2017-01-03
adaBoost-master\dataset\TestImages\test-142.pgm, 17834, 2017-01-03
adaBoost-master\dataset\TestImages\test-143.pgm, 27075, 2017-01-03
adaBoost-master\dataset\TestImages\test-144.pgm, 13008, 2017-01-03
adaBoost-master\dataset\TestImages\test-145.pgm, 16075, 2017-01-03
adaBoost-master\dataset\TestImages\test-146.pgm, 19417, 2017-01-03
adaBoost-master\dataset\TestImages\test-147.pgm, 13078, 2017-01-03
adaBoost-master\dataset\TestImages\test-148.pgm, 15211, 2017-01-03
adaBoost-master\dataset\TestImages\test-149.pgm, 14467, 2017-01-03
adaBoost-master\dataset\TestImages\test-15.pgm, 44107, 2017-01-03
adaBoost-master\dataset\TestImages\test-150.pgm, 29499, 2017-01-03
adaBoost-master\dataset\TestImages\test-151.pgm, 12020, 2017-01-03
adaBoost-master\dataset\TestImages\test-152.pgm, 14456, 2017-01-03
adaBoost-master\dataset\TestImages\test-153.pgm, 17752, 2017-01-03
adaBoost-master\dataset\TestImages\test-154.pgm, 17823, 2017-01-03
adaBoost-master\dataset\TestImages\test-155.pgm, 16015, 2017-01-03
adaBoost-master\dataset\TestImages\test-156.pgm, 18915, 2017-01-03
adaBoost-master\dataset\TestImages\test-157.pgm, 15204, 2017-01-03
adaBoost-master\dataset\TestImages\test-158.pgm, 16547, 2017-01-03
adaBoost-master\dataset\TestImages\test-159.pgm, 27485, 2017-01-03
adaBoost-master\dataset\TestImages\test-16.pgm, 24027, 2017-01-03
adaBoost-master\dataset\TestImages\test-160.pgm, 22521, 2017-01-03
adaBoost-master\dataset\TestImages\test-161.pgm, 17823, 2017-01-03
adaBoost-master\dataset\TestImages\test-162.pgm, 17151, 2017-01-03
adaBoost-master\dataset\TestImages\test-163.pgm, 20307, 2017-01-03
adaBoost-master\dataset\TestImages\test-164.pgm, 17915, 2017-01-03
adaBoost-master\dataset\TestImages\test-165.pgm, 37551, 2017-01-03
adaBoost-master\dataset\TestImages\test-166.pgm, 18954, 2017-01-03
adaBoost-master\dataset\TestImages\test-167.pgm, 18936, 2017-01-03
adaBoost-master\dataset\TestImages\test-168.pgm, 18915, 2017-01-03
adaBoost-master\dataset\TestImages\test-169.pgm, 15534, 2017-01-03
adaBoost-master\dataset\TestImages\test-17.pgm, 43755, 2017-01-03
adaBoost-master\dataset\TestImages\test-18.pgm, 63375, 2017-01-03
adaBoost-master\dataset\TestImages\test-19.pgm, 47790, 2017-01-03
adaBoost-master\dataset\TestImages\test-2.pgm, 15764, 2017-01-03
adaBoost-master\dataset\TestImages\test-20.pgm, 16674, 2017-01-03
adaBoost-master\dataset\TestImages\test-21.pgm, 19205, 2017-01-03
adaBoost-master\dataset\TestImages\test-22.pgm, 31505, 2017-01-03
adaBoost-master\dataset\TestImages\test-23.pgm, 22615, 2017-01-03
adaBoost-master\dataset\TestImages\test-24.pgm, 24265, 2017-01-03
adaBoost-master\dataset\TestImages\test-25.pgm, 16845, 2017-01-03
adaBoost-master\dataset\TestImages\test-26.pgm, 38655, 2017-01-03
adaBoost-master\dataset\TestImages\test-27.pgm, 27510, 2017-01-03
adaBoost-master\dataset\TestImages\test-28.pgm, 27037, 2017-01-03
adaBoost-master\dataset\TestImages\test-29.pgm, 22524, 2017-01-03

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • flow_code
    sift flow, a new method for decribing the images, it could be applied for many applications
    2010-12-27 18:23:11下载
    积分:1
  • vehicle-dynamic
    very interesting code on vehicle dynamic, with simulink interface
    2011-06-24 16:54:17下载
    积分:1
  • MATLAB_Exp6_0421_2006
    MATLAB_Exp6_0421_2006 成大教授講義(Professor at National Cheng Kung University MATLAB_Exp6_0421_2006 notes)
    2009-04-29 10:19:49下载
    积分:1
  • N-RPOWERFLOW
    直角坐标形式的牛顿——拉夫逊法连续潮流程序源代码(Rectangular form of Newton- Raphson continuation power flow program source code)
    2020-10-18 12:17:27下载
    积分:1
  • A1_2
    mathews数值分析书的例题程序,用matlab编写,可以对照课本学习。(mathews numerical analysis book example program using matlab, you can control textbook learning.)
    2011-10-20 10:15:01下载
    积分:1
  • Proficient-in-MATLAB
    精通MATLAB 张志涌编著(Matlab入门经典教程),适用于初学者。(Proficient in MATLAB (Matlab Getting Started classic), suitable for beginners.)
    2013-11-08 09:48:31下载
    积分:1
  • matlab
    用MATLAB编写模煳控制表计算程序,模糊规则的选取(Mold burnt control table calculation program written using MATLAB)
    2013-05-20 17:24:45下载
    积分:1
  • MT-Bostick
    基于Bostick插值算法的大地电磁法一维正反演Matlab程序(Bostick interpolation algorithm based on magnetotelluric method of one-dimensional forward modeling and inversion Matlab program)
    2021-04-26 19:18:45下载
    积分:1
  • FBMC_OFDM_Prototype
    FBMC prototype filter for 5g communications through wireless interface.
    2016-07-08 19:07:59下载
    积分:1
  • gui--beam
    简单的gui界面下的有关静定梁的受力分析(A simple gui interface on statically determinate beam Stress Analysis。)
    2009-11-18 15:57:40下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载