登录
首页 » matlab » hmm_matlab

hmm_matlab

于 2020-09-02 发布 文件大小:3934KB
0 262
下载积分: 1 下载次数: 88

代码说明:

  基于隐马尔科夫模型HMM的人脸识别程序,使用Matlab编写,提取的人脸识别特征为DCT系数(it is face detection codes based on HMM Model ,you can run iton Matlab,the feature from face is DCT)

文件列表:

hmm_matlab
..........\dct_hmm.m,4871,2013-04-10
..........\dct_test1.m,2320,2013-04-10
..........\em_converged.m,1189,2005-04-25
..........\fwdback.m,7194,2010-08-30
..........\isposdef.m,289,2005-04-25
..........\KPMstats
..........\........\#histCmpChi2.m#,267,2005-05-03
..........\........\beta_sample.m,1955,2005-04-25
..........\........\chisquared_histo.m,199,2005-04-25
..........\........\chisquared_prob.m,1326,2005-04-25
..........\........\chisquared_readme.txt,1389,2005-04-25
..........\........\chisquared_table.m,2127,2005-04-25
..........\........\clg_Mstep.m,5884,2005-04-25
..........\........\clg_Mstep_simple.m,1463,2005-04-25
..........\........\clg_prob.m,421,2005-04-25
..........\........\condGaussToJoint.m,646,2005-04-25
..........\........\condgaussTrainObserved.m,908,2005-04-25
..........\........\condgauss_sample.m,351,2005-04-25
..........\........\cond_indep_fisher_z.m,3789,2005-04-25
..........\........\convertBinaryLabels.m,101,2005-04-25
..........\........\cwr_demo.m,3513,2005-04-25
..........\........\cwr_em.m,4912,2005-04-25
..........\........\cwr_predict.m,1677,2005-04-25
..........\........\cwr_prob.m,1011,2005-04-25
..........\........\cwr_readme.txt,534,2005-04-25
..........\........\cwr_test.m,2436,2005-04-25
..........\........\dirichletpdf.m,1049,2005-05-22
..........\........\dirichletrnd.m,1049,2005-05-22
..........\........\dirichlet_sample.m,582,2005-04-25
..........\........\distchck.m,3836,2005-04-25
..........\........\eigdec.m,1535,2005-04-25
..........\........\est_transmat.m,535,2005-04-25
..........\........\fit_paritioned_model_testfn.m,103,2005-04-25
..........\........\fit_partitioned_model.m,2290,2005-04-25
..........\........\fwdback.m,7194,2010-08-30
..........\........\gamma_sample.m,3144,2005-04-25
..........\........\gaussian_prob.asv,852,2009-08-05
..........\........\gaussian_prob.m,853,2009-08-05
..........\........\gaussian_sample.m,659,2005-04-25
..........\........\histCmpChi2.m,394,2005-05-03
..........\........\histCmpChi2.m~,353,2005-05-03
..........\........\KLgauss.m,342,2005-04-25
..........\........\linear_regression.m,2038,2005-04-25
..........\........\logist2.m,3050,2005-04-25
..........\........\logist2Apply.m,365,2005-04-25
..........\........\logist2ApplyRegularized.m,91,2005-04-25
..........\........\logist2Fit.m,593,2005-04-25
..........\........\logist2FitRegularized.m,411,2005-04-25
..........\........\logistK.m,7540,2005-04-25
..........\........\logistK_eval.m,2372,2005-04-25
..........\........\marginalize_gaussian.m,293,2005-04-25
..........\........\matrix_normal_pdf.m,346,2005-04-25
..........\........\matrix_T_pdf.m,430,2005-04-25
..........\........\mc_stat_distrib.m,790,2005-04-25
..........\........\mhmm_em.m,5745,2010-08-30
..........\........\mhmm_logprob.m,960,2010-08-30
..........\........\mixgauss_classifier_apply.m,534,2005-04-25
..........\........\mixgauss_classifier_train.m,1377,2005-04-25
..........\........\mixgauss_em.m,2252,2005-04-25
..........\........\mixgauss_init.m,1357,2005-04-25
..........\........\mixgauss_Mstep.m,3448,2009-08-16
..........\........\mixgauss_prob.asv,4349,2009-08-16
..........\........\mixgauss_prob.m,4375,2009-08-16
..........\........\mixgauss_prob_test.m,2320,2005-04-25
..........\........\mixgauss_sample.m,734,2005-04-25
..........\........\mkPolyFvec.m,576,2005-04-25
..........\........\mk_unit_norm.m,280,2005-04-25
..........\........\multinomial_prob.m,567,2005-04-25
..........\........\multinomial_sample.m,577,2005-04-25
..........\........\multipdf.m,1192,2005-05-22
..........\........\multirnd.m,1161,2005-05-22
..........\........\normal_coef.m,205,2005-04-25
..........\........\partial_corr_coef.m,844,2005-04-25
..........\........\parzen.m,2478,2005-04-25
..........\........\parzenC.c,2790,2005-04-25
..........\........\parzenC.dll,49152,2005-04-25
..........\........\parzenC.mexglx,20215,2005-04-25
..........\........\parzenC_test.m,250,2005-04-25
..........\........\parzen_fit_select_unif.m,1668,2005-04-25
..........\........\pca.m,1077,2005-04-25
..........\........\README.txt,156,2005-04-25
..........\........\rndcheck.m,8072,2005-04-25
..........\........\sample.m,358,2005-04-25
..........\........\sample_discrete.m,1002,2005-04-25
..........\........\sample_gaussian.m,524,2005-04-25
..........\........\standardize.m,462,2005-05-03
..........\........\standardize.m~,446,2005-04-25
..........\........\student_t_logprob.m,521,2005-04-25
..........\........\student_t_prob.m,643,2005-04-25
..........\........\test_dir.m,368,2005-05-22
..........\........\unidrndKPM.m,122,2005-05-31
..........\........\unidrndKPM.m~,85,2005-05-31
..........\........\unif_discrete_sample.m,258,2005-04-25
..........\........\viterbi_path.m,1541,2010-08-30
..........\........\weightedRegression.m,1343,2005-04-25
..........\KPMtools
..........\........\approxeq.m,489,2005-04-25
..........\........\approx_unique.m,852,2005-04-25
..........\........\argmax.m,347,2005-04-25

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

  • exclass3
    svm分类程序,经过调试,对初学者很有用的(svm classification procedures, after debugging, useful for beginners)
    2011-11-21 16:45:54下载
    积分:1
  • Matlab-high-level
    一本用于matlab学习的电子书籍,对初学者有很大的帮助。(A book to learn matlab, electronic books, has a great help for beginners. )
    2013-11-18 14:45:47下载
    积分:1
  • 遗传算法,电力系统无功优化
    说明:  matlab code for optimisation of reactive power of power system
    2020-04-07 00:07:21下载
    积分:1
  • suanfa
    RD成像算法,距离多普勒域,sinc插值和邻域插值两种, CS成像算法,二位频域(RDA CSA targets radar imaging Interpolation)
    2017-10-11 16:12:37下载
    积分:1
  • readpch
    读pch文件的小程序,专门读取DMIG格式的矩阵(Reading the small pch file procedures, specifically to read matrix format DMIG)
    2009-04-10 12:42:24下载
    积分:1
  • 123
    基于MATLAB/S-函数三相异步电机的建模与仿真 (Based on MATLAB/S- function of three-phase asynchronous motor modeling and simulation )
    2011-05-14 11:11:29下载
    积分:1
  • summ
    Function analogous to DIFF, but takes sums instead.
    2009-09-07 17:41:13下载
    积分:1
  • lagrange多项式插值
    说明:  三弯矩插值法 lagrange多项式插值 多项式最小二乘法 龙贝格积分法 分段线性插值 三转角插值 这些是数值分析中常用的集中经典方法,运用matlab展示出来!(three polynomial interpolation Hangzhou least squares polynomial interpolation Romberg integration subparagraph Line sex angle interpolation three interpolation these numerical analysis is commonly used in concentrated classical methods, and use Matlab show!)
    2006-01-13 18:32:18下载
    积分:1
  • WBP
    基于小波包BP神经网络的短期电力系统负荷预测程序(Electric power system short-term load forecasting BP wavelet packet neural network program based on)
    2015-03-25 10:37:06下载
    积分:1
  • emd_visu
    这个程序是用来显示经过经验模态分解后所得的各个固有模态函数和残余信号,以及由它们重建的信号。(This procedure is used to show through after EMD from various intrinsic mode function and the residual signal, as well as the reconstruction of the signal from them.)
    2021-02-16 19:09:46下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载