K-SVD

  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.)

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
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.....\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
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.....\KA.SU1.36.tiff,14856,2012-11-20
.....\KA.SU2.37.tiff,14860,2012-11-20
.....\KA.SU3.38.tiff,14854,2012-11-20
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.....\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
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.....\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
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.....\KM.AN3.19.tiff,14852,2012-11-20
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.....\KM.DI3.22.tiff,14868,2012-11-20
.....\KM.FE1.23.tiff,14852,2012-11-20
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.....\KM.FE3.25.tiff,14874,2012-11-20
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.....\KM.HA3.6.tiff,14864,2012-11-20
.....\KM.HA4.7.tiff,14850,2012-11-20
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.....\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
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.....\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