登录
首页 » matlab » K-SVD

K-SVD

于 2015-11-09 发布 文件大小:14122KB
0 222
下载积分: 1 下载次数: 9

代码说明:

  K-SVD是一种经典的字典训练算法,依据误差最小原则,对误差项进行SVD分解,选择使误差最小的分解项作为更新的字典原子和对应的原子系数,经过不断的迭代从而得到优化的解。(K-SVD is a classic dictionary training algorithm, based on the principle of minimum error, the error items SVD decomposition, choose to make the smallest error decomposition item as an updated dictionary of atoms and atomic corresponding coefficient, through constant iteration to obtain an optimized solution.)

文件列表:

K-SVD
.....\baocunmatwenjian.asv,815,2013-07-06
.....\baocunmatwenjian.m,815,2013-07-06
.....\BSyj_2.TIF,19426,2013-07-06
.....\CDS.asv,1890,2013-08-01
.....\CDS.m,1884,2013-08-01
.....\control_points_2eye_1mouth.mat,1335,2012-11-20
.....\expression_label_list.mat,250,2012-11-20
.....\file_name_list.mat,1540,2012-11-20
.....\findDistance.asv,1227,2013-07-10
.....\findDistance.m,1255,2013-07-10
.....\generate_list.asv,810,2013-07-10
.....\generate_list.m,824,2013-07-10
.....\generate_name_list.m,591,2013-07-10
.....\getim.asv,955,2013-07-06
.....\getim.m,955,2013-07-06
.....\getimage.m,1517,2013-07-06
.....\image37x30.mat,1783593,2013-07-10
.....\image50x40.mat,3212339,2013-07-10
.....\KA.AN1.39.tiff,14878,2012-11-20
.....\KA.AN2.40.tiff,14878,2012-11-20
.....\KA.AN3.41.tiff,14862,2012-11-20
.....\KA.DI1.42.tiff,14872,2012-11-20
.....\KA.DI2.43.tiff,14866,2012-11-20
.....\KA.DI3.44.tiff,14876,2012-11-20
.....\KA.FE1.45.tiff,14886,2012-11-20
.....\KA.FE2.46.tiff,14864,2012-11-20
.....\KA.FE3.47.tiff,14868,2012-11-20
.....\KA.FE4.48.tiff,14864,2012-11-20
.....\KA.HA1.29.tiff,14874,2012-11-20
.....\KA.HA2.30.tiff,14868,2012-11-20
.....\KA.HA3.31.tiff,14876,2012-11-20
.....\KA.HA4.32.tiff,14868,2012-11-20
.....\KA.NE1.26.tiff,14884,2012-11-20
.....\KA.NE2.27.tiff,14862,2012-11-20
.....\KA.NE3.28.tiff,14884,2012-11-20
.....\KA.SA1.33.tiff,14862,2012-11-20
.....\KA.SA2.34.tiff,14870,2012-11-20
.....\KA.SA3.35.tiff,14870,2012-11-20
.....\KA.SU1.36.tiff,14856,2012-11-20
.....\KA.SU2.37.tiff,14860,2012-11-20
.....\KA.SU3.38.tiff,14854,2012-11-20
.....\KL.AN1.167.tiff,14882,2012-11-20
.....\KL.AN2.168.tiff,14876,2012-11-20
.....\KL.AN3.169.tiff,14884,2012-11-20
.....\KL.DI1.170.tiff,14868,2012-11-20
.....\KL.DI2.171.tiff,14872,2012-11-20
.....\KL.DI3.172.tiff,14880,2012-11-20
.....\KL.DI4.173.tiff,14886,2012-11-20
.....\KL.FE1.174.tiff,14886,2012-11-20
.....\KL.FE2.175.tiff,14874,2012-11-20
.....\KL.FE3.176.tiff,14886,2012-11-20
.....\KL.HA1.158.tiff,14882,2012-11-20
.....\KL.HA2.159.tiff,14876,2012-11-20
.....\KL.HA3.160.tiff,14874,2012-11-20
.....\KL.NE1.155.tiff,14886,2012-11-20
.....\KL.NE2.156.tiff,14878,2012-11-20
.....\KL.NE3.157.tiff,14896,2012-11-20
.....\KL.SA1.161.tiff,14876,2012-11-20
.....\KL.SA2.162.tiff,14880,2012-11-20
.....\KL.SA3.163.tiff,14886,2012-11-20
.....\KL.SU1.164.tiff,14876,2012-11-20
.....\KL.SU2.165.tiff,14874,2012-11-20
.....\KL.SU3.166.tiff,14866,2012-11-20
.....\KM.AN1.17.tiff,14868,2012-11-20
.....\KM.AN2.18.tiff,14876,2012-11-20
.....\KM.AN3.19.tiff,14852,2012-11-20
.....\KM.DI1.20.tiff,14856,2012-11-20
.....\KM.DI3.22.tiff,14868,2012-11-20
.....\KM.FE1.23.tiff,14852,2012-11-20
.....\KM.FE2.24.tiff,14866,2012-11-20
.....\KM.FE3.25.tiff,14874,2012-11-20
.....\KM.HA1.4.tiff,14846,2012-11-20
.....\KM.HA2.5.tiff,14856,2012-11-20
.....\KM.HA3.6.tiff,14864,2012-11-20
.....\KM.HA4.7.tiff,14850,2012-11-20
.....\KM.NE1.1.tiff,14872,2012-11-20
.....\KM.NE2.2.tiff,14858,2012-11-20
.....\KM.NE3.3.tiff,14834,2012-11-20
.....\KM.SA1.9.tiff,14862,2012-11-20
.....\KM.SA2.10.tiff,14852,2012-11-20
.....\KM.SA3.11.tiff,14866,2012-11-20
.....\KM.SA5.13.tiff,14872,2012-11-20
.....\KM.SU1.14.tiff,14874,2012-11-20
.....\KM.SU2.15.tiff,14856,2012-11-20
.....\KM.SU3.16.tiff,14838,2012-11-20
.....\KR.AN1.83.tiff,14890,2012-11-20
.....\KR.AN2.84.tiff,14868,2012-11-20
.....\KR.AN3.85.tiff,14884,2012-11-20
.....\KR.DI1.86.tiff,14896,2012-11-20
.....\KR.DI2.87.tiff,14884,2012-11-20
.....\KR.DI3.88.tiff,14884,2012-11-20
.....\KR.FE1.89.tiff,14878,2012-11-20
.....\KR.FE2.90.tiff,14874,2012-11-20
.....\KR.FE3.91.tiff,14876,2012-11-20
.....\KR.HA1.74.tiff,14890,2012-11-20
.....\KR.HA2.75.tiff,14894,2012-11-20
.....\KR.HA3.79.tiff,14884,2012-11-20
.....\KR.NE1.71.tiff,14900,2012-11-20
.....\KR.NE2.72.tiff,14898,2012-11-20

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

  • gplab.manual.3.ps
    this is a matlab source file
    2012-03-31 00:45:27下载
    积分:1
  • jingdufenxi
    对于无源雷达定位系统,采用测向方法对目标定位,并对定位精度进行了分析。(For passive radar location system, using the direction finding method of orientation, and the positioning precision is analyzed.)
    2021-03-18 20:59:19下载
    积分:1
  • single degree of freedom semidiscrete square
    说明:  铣削加工动力学单自由度半离散方法,求解铣削加工稳定性叶瓣图,不同于两自由度(The single degree of freedom (sdof) semi-discrete method for milling dynamics is used to solve the stability profile of milling process, which is different from that of two degrees of freedom)
    2019-03-11 16:36:31下载
    积分:1
  • bipopcmaes.tar
    matlab benchmarks for otimization problems
    2010-07-16 23:13:30下载
    积分:1
  • matlab_program
    matlab实用程序百例(100 cases of matlab utility)
    2008-01-12 00:54:48下载
    积分:1
  • CameraDemo
    摄像功能实现,Camera function realization(Camera function realization, Camera function realization)
    2010-09-07 09:26:52下载
    积分:1
  • vcARDvERSIONeXCEPTION
    CharArrayWriter extends Writer Source Code for Andriod.
    2013-12-30 19:26:07下载
    积分:1
  • GPM_download_Final
    利用MATLAB爬虫示例,自动下载GPM-IMERG-FINAL数据(Automatically download GPM-IMERG-FINAL data using MATLAB crawler example)
    2021-01-08 16:38:52下载
    积分:1
  • LTEcommonscrambling
    该代码是lte数据传输中的加扰技术的源代码(The code is lte data scrambling technology in source code)
    2010-12-17 10:54:02下载
    积分:1
  • cdf_example
    此函数举例描述了一种实现CDF画图的方法,该方法简单易行(This function for example, describes an implementation of CDF drawing method is simple)
    2021-02-08 15:09:54下载
    积分:1
  • 696516资源总数
  • 106562会员总数
  • 4今日下载