登录
首页 » matlab » K-SVD

K-SVD

于 2013-08-21 发布 文件大小:11858KB
0 268
下载积分: 1 下载次数: 141

代码说明:

  k-svd算法在表情识别方面的实现和实例应用,附有图片和文章。(k-svd algorithm for face recognition on the implementation and application examples, with pictures and articles.)

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

  • puxianzengqiang
    谱线增强器的代码,里面包含最陡下降法的实现,是华中科技大学出版的现代数字信号处理课后题3.16的答案,对理解谱线增强器和最陡下降法的实现有很大帮助。(Line enhancer code, which contains the implementation of the steepest descent method, is published by the Huazhong University of Science after-school modern digital signal processing, the answer to question 3.16, to understand the line enhancer and the implementation of the steepest descent of great help .)
    2010-12-24 13:16:02下载
    积分:1
  • region-of-interest
    基于感兴趣区域图象处理的matlab程序,包括感兴趣区域的滤波,填充及选取(Matlab image processing program based on the region of interest, including the region of interest, filtering, fill and selection)
    2013-02-05 17:14:21下载
    积分:1
  • bilinear-interpolation
    采用双线性插值方法对图像进行缩小放大,从双线性插值原理上编程,matlab可运行。(using bilinear interpolation algorithm for image scaling, matlab can compile)
    2015-02-06 15:36:49下载
    积分:1
  • OQPSK_test
    OQPSK code to run OQPSK in simulink
    2014-01-27 19:18:54下载
    积分:1
  • Matlab-fuzzy-PID
    基于Matlab下规则PID控制系统的参数自整定程序(Matlab fuzzy rule parameters PID control system based on self-tuning procedure)
    2014-06-03 20:23:21下载
    积分:1
  • Matlabfromentrytothemaster
    matlab初学者的必备书籍!!!从初步讲解的matlab简单语句,到一些简单的实例,很清晰!(Essential books on matlab for beginners! ! ! Matlab from the initial explanation of the simple statement, to some simple examples, very clear!)
    2010-08-11 17:53:55下载
    积分:1
  • linproj
    模型是结构体类型的线性投影Y = linproj(X, model) 其中W.model为线性投影矩阵, Y = model.W *X + model.b b为偏差值( Description: Y = linproj(X, model) linearly projects data in X such that Y = model.W *X+ model.b out_data = linproj(in_data, model) projects in_data.X out_data.X = model.W *in_data.X+ model.b out_data.y = in_data.y Input: model [struct] linear projection: .W [dim x ncomp] Projection matrix. .b [ncomp x 1] Bias.)
    2011-05-01 18:11:47下载
    积分:1
  • sharpening
    图像空域锐化增强,用matlab分别实现Roberts、Sobel、Priwitt算子的锐化处理,以及实现拉普拉斯图像和原始图像叠加的增强处理(Image airspace sharpening, respectively, to achieve with matlab Roberts, Sobel, Priwitt operator sharpening, and achieve enhancement Laplace image and the original image overlay)
    2013-11-28 12:35:57下载
    积分:1
  • newton-raphson
    newton raphson algorithm
    2013-12-25 03:30:23下载
    积分:1
  • AnalysisandDesignofWatermarkingAlgorithmsforImprov
    提出一种新的混合数字水印算法,它利用了 两种方法最好抵制JPEG压缩。(develop a novel hybrid watermarking algorithm that exploits the best of both approaches for greater resilience to JPEG compres- sion. )
    2009-11-14 07:27:40下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载