登录
首页 » matlab » FaceRecEvaluator

FaceRecEvaluator

于 2020-12-08 发布 文件大小:8448KB
0 249
下载积分: 1 下载次数: 70

代码说明:

  人脸识别算法matlab代码,可以实现,如PCA,ICA,SVM,LDA等(Matlab code for face recognition algorithms can be achieved, such as PCA, ICA, the SVM, LDA)

文件列表:

FaceRecEvaluator
................\backup
................\......\stats 09-Mar-2012 19.34.08
................\......\..........................\pca
................\......\..........................\...\_train_data_att_1.mat,357402,2011-10-09
................\......\..........................\...\_train_time_att_1.txt,18,2011-10-09
................\......\stats 09-Mar-2012 19.34.47
................\......\..........................\lda
................\......\..........................\...\stats.mat,547,2012-03-09
................\......\..........................\...\_accuracy_att_1.txt,18,2012-03-09
................\......\..........................\...\_accuracy_ifd_1.txt,18,2012-03-09
................\......\..........................\...\_test_time_att_1.txt,18,2012-03-09
................\......\..........................\...\_test_time_ifd_1.txt,18,2012-03-09
................\......\..........................\...\_train_data_att_1.mat,312311,2012-03-09
................\......\..........................\...\_train_data_ifd_1.mat,429620,2012-03-09
................\......\..........................\...\_train_time_att_1.txt,18,2012-03-09
................\......\..........................\...\_train_time_ifd_1.txt,18,2012-03-09
................\......\..........................\pca
................\......\..........................\...\stats.mat,547,2012-03-09
................\......\..........................\...\_accuracy_att_1.txt,18,2012-03-09
................\......\..........................\...\_accuracy_ifd_1.txt,18,2012-03-09
................\......\..........................\...\_test_time_att_1.txt,18,2012-03-09
................\......\..........................\...\_test_time_ifd_1.txt,18,2012-03-09
................\......\..........................\...\_train_data_att_1.mat,357402,2012-03-09
................\......\..........................\...\_train_data_ifd_1.mat,472010,2012-03-09
................\......\..........................\...\_train_time_att_1.txt,18,2012-03-09
................\......\..........................\...\_train_time_ifd_1.txt,18,2012-03-09
................\......\..........................\plots
................\......\..........................\.....\acc.eps,9601,2012-03-09

................\......\..........................\.....\modelSize.eps,9509,2012-03-09

................\......\..........................\.....\testMem.eps,9558,2012-03-09

................\......\..........................\.....\testTime.eps,9484,2012-03-09

................\......\..........................\.....\totalMem.eps,9556,2012-03-09

................\......\..........................\.....\totalTime.eps,9527,2012-03-09
................\......\..........................\.....\totalTime.jpg,58006,2012-03-09
................\......\..........................\.....\trainMem.eps,9561,2012-03-09
................\......\..........................\.....\trainMem.jpg,44206,2012-03-09
................\......\..........................\.....\trainTime.eps,9464,2012-03-09
................\......\..........................\.....\trainTime.jpg,54640,2012-03-09
................\......\..........................\report.csv,603,2012-03-09
................\......\stats 09-Mar-2012 19.35.10
................\......\..........................\lda
................\......\..........................\...\stats.mat,547,2012-03-09
................\......\..........................\...\_accuracy_att_1.txt,18,2012-03-09
................\......\..........................\...\_accuracy_ifd_1.txt,18,2012-03-09
................\......\..........................\...\_test_time_att_1.txt,18,2012-03-09
................\......\..........................\...\_test_time_ifd_1.txt,18,2012-03-09
................\......\..........................\...\_train_data_att_1.mat,312311,2012-03-09
................\......\..........................\...\_train_data_ifd_1.mat,429620,2012-03-09
................\......\..........................\...\_train_time_att_1.txt,18,2012-03-09
................\......\..........................\...\_train_time_ifd_1.txt,18,2012-03-09
................\......\..........................\pca
................\......\..........................\...\stats.mat,547,2012-03-09
................\......\..........................\...\_accuracy_att_1.txt,18,2012-03-09
................\......\..........................\...\_accuracy_ifd_1.txt,18,2012-03-09
................\......\..........................\...\_test_time_att_1.txt,18,2012-03-09
................\......\..........................\...\_test_time_ifd_1.txt,18,2012-03-09
................\......\..........................\...\_train_data_att_1.mat,357402,2012-03-09
................\......\..........................\...\_train_data_ifd_1.mat,472010,2012-03-09
................\......\..........................\...\_train_time_att_1.txt,18,2012-03-09
................\......\..........................\...\_train_time_ifd_1.txt,18,2012-03-09
................\......\..........................\plots
................\......\..........................\.....\acc.eps,9601,2012-03-09

................\......\..........................\.....\modelSize.eps,9509,2012-03-09

................\......\..........................\.....\testMem.eps,9558,2012-03-09

................\......\..........................\.....\testTime.eps,9569,2012-03-09

................\......\..........................\.....\totalMem.eps,9556,2012-03-09

................\......\..........................\.....\totalTime.eps,9428,2012-03-09
................\......\..........................\.....\totalTime.jpg,50335,2012-03-09
................\......\..........................\.....\trainMem.eps,9561,2012-03-09
................\......\..........................\.....\trainMem.jpg,44206,2012-03-09
................\......\..........................\.....\trainTime.eps,9365,2012-03-09
................\......\..........................\.....\trainTime.jpg,47619,2012-03-09
................\......\..........................\report.csv,603,2012-03-09
................\Credits.txt,1298,2008-10-01
................\datasets
................\........\att
................\........\...\_csu7





................\........\...\.....\1-000005.jpg,2276,2008-08-24
................\........\...\.....\1-000006.jpg,2383,2008-08-24
................\........\...\.....\1-000007.jpg,2476,2008-08-24
................\........\...\.....\1-000008.jpg,2361,2008-08-24
................\........\...\.....\1-000009.jpg,2440,2008-08-24
................\........\...\.....\10-000000.jpg,2658,2008-08-24
................\........\...\.....\10-000001.jpg,2612,2008-08-24

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

  • p205ESO
    用simulink搭建的自抗扰控制器中的ESO(The ADRC controller simulink structures of ESO)
    2021-04-16 21:58:54下载
    积分:1
  • Leaf Disease Severity Grading System
    Leaf disease detection
    2021-03-28 20:59:11下载
    积分:1
  • ID3
    以matlab为开发环境实现ID3算法,包括分类预测,建树等。(ID3 agorithm basis on matlab)
    2010-12-05 10:04:55下载
    积分:1
  • LLE
    lle降维,可以参考非线性降维的方法,感觉没lda好用,比pca还行(LLE dimension reduction)
    2020-09-18 15:37:53下载
    积分:1
  • dot3
    三级倒立摆的非线性部分采用S函数实现,此为S函数实现的源代码(The nonlinear part of the triple inverted pendulum using S functions to achieve, this is the S function, the source code)
    2010-07-18 19:52:44下载
    积分:1
  • steepest_method_with_const_step
    NUMERICAL OPTIMIZATION: This is steepest descent method with constant step length to find the minima of f(x, y) = xy exp(− 2x^2 − y^2 + 0.3y) Graphical represxentation in 5 ways of solution, simple and clear explained. (NUMERICAL OPTIMIZATION: This is steepest descent method with constant step length to find the minima of f(x, y) = xy exp(− 2x^2 − y^2+ 0.3y) Graphical represxentation in 5 ways of solution, simple and clear explained. )
    2009-11-26 21:51:39下载
    积分:1
  • zidongduoyu
    实现多阈值自动分割,在车牌识别应用效果很好(Automatic segmentation of multi-threshold, good effect in the vehicle license plate recognition applications)
    2010-11-26 10:38:41下载
    积分:1
  • mengtekaluo
    说明:  这是一段利用matlab仿真抛骰子问题的蒙特卡洛算法,要求两个骰子的点数之和大于6并且第一个点数大于第二个点数(This is a simulation using matlab problem throwing dice Monte Carlo algorithm, to ask the two points of the dice and more than 6 points higher than the first and second points)
    2008-11-24 19:30:12下载
    积分:1
  • Aperture_Effeciency_GUI
    This MATLAB Code plot the aperture efficiency Vs the subtended angle. The user determine the value of n and the code plot and tell what is the angle value that achieves max efficeiency and the value of this efficiency.
    2011-05-26 16:22:47下载
    积分:1
  • abc_al_be_dq_al_be_abc
    abc to alpha be to qd to alpha beta to abc
    2013-07-20 08:47:59下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载