登录
首页 » matlab » vlfeat-0.9.212

vlfeat-0.9.212

于 2018-04-30 发布 文件大小:13546KB
0 122
下载积分: 1 下载次数: 5

代码说明:

  包括聚类分析,支持向量机,随机森林等算法(Including clustering analysis, support vector machines, random forests and other algorithms.)

文件列表:

vlfeat-0.9.21\.gitattributes, 59 , 2018-01-12
vlfeat-0.9.21\.gitignore, 700 , 2018-01-12
vlfeat-0.9.21\apps\phow_caltech101.m, 11594 , 2018-01-12
vlfeat-0.9.21\apps\recognition\encodeImage.m, 5278 , 2018-01-12
vlfeat-0.9.21\apps\recognition\experiments.m, 6905 , 2018-01-12
vlfeat-0.9.21\apps\recognition\extendDescriptorsWithGeometry.m, 822 , 2018-01-12
vlfeat-0.9.21\apps\recognition\getDenseSIFT.m, 1679 , 2018-01-12
vlfeat-0.9.21\apps\recognition\readImage.m, 919 , 2018-01-12
vlfeat-0.9.21\apps\recognition\setupCaltech256.m, 2495 , 2018-01-12
vlfeat-0.9.21\apps\recognition\setupFMD.m, 1197 , 2018-01-12
vlfeat-0.9.21\apps\recognition\setupGeneric.m, 4024 , 2018-01-12
vlfeat-0.9.21\apps\recognition\setupScene67.m, 2368 , 2018-01-12
vlfeat-0.9.21\apps\recognition\setupVoc.m, 5189 , 2018-01-12
vlfeat-0.9.21\apps\recognition\trainEncoder.m, 6226 , 2018-01-12
vlfeat-0.9.21\apps\recognition\traintest.m, 6097 , 2018-01-12
vlfeat-0.9.21\apps\sift_mosaic.m, 4621 , 2018-01-12
vlfeat-0.9.21\bin\glnxa64\aib, 8728 , 2018-01-12
vlfeat-0.9.21\bin\glnxa64\libvl.so, 391080 , 2018-01-12
vlfeat-0.9.21\bin\glnxa64\mser, 26608 , 2018-01-12
vlfeat-0.9.21\bin\glnxa64\sift, 39584 , 2018-01-12
vlfeat-0.9.21\bin\glnxa64\test_gauss_elimination, 8664 , 2018-01-12
vlfeat-0.9.21\bin\glnxa64\test_getopt_long, 9080 , 2018-01-12
vlfeat-0.9.21\bin\glnxa64\test_gmm, 14112 , 2018-01-12
vlfeat-0.9.21\bin\glnxa64\test_heap-def, 12824 , 2018-01-12
vlfeat-0.9.21\bin\glnxa64\test_host, 8696 , 2018-01-12
vlfeat-0.9.21\bin\glnxa64\test_imopv, 13152 , 2018-01-12
vlfeat-0.9.21\bin\glnxa64\test_kmeans, 8904 , 2018-01-12
vlfeat-0.9.21\bin\glnxa64\test_liop, 8720 , 2018-01-12
vlfeat-0.9.21\bin\glnxa64\test_mathop, 12920 , 2018-01-12
vlfeat-0.9.21\bin\glnxa64\test_mathop_abs, 8848 , 2018-01-12
vlfeat-0.9.21\bin\glnxa64\test_nan, 8592 , 2018-01-12
vlfeat-0.9.21\bin\glnxa64\test_qsort-def, 12752 , 2018-01-12
vlfeat-0.9.21\bin\glnxa64\test_rand, 8744 , 2018-01-12
vlfeat-0.9.21\bin\glnxa64\test_sqrti, 8696 , 2018-01-12
vlfeat-0.9.21\bin\glnxa64\test_stringop, 13160 , 2018-01-12
vlfeat-0.9.21\bin\glnxa64\test_svd2, 12944 , 2018-01-12
vlfeat-0.9.21\bin\glnxa64\test_threads, 9128 , 2018-01-12
vlfeat-0.9.21\bin\glnxa64\test_vec_comp, 9072 , 2018-01-12
vlfeat-0.9.21\bin\maci64\aib, 13020 , 2018-01-12
vlfeat-0.9.21\bin\maci64\libomp.dylib, 442396 , 2018-01-12
vlfeat-0.9.21\bin\maci64\libvl.dylib, 387740 , 2018-01-12
vlfeat-0.9.21\bin\maci64\mser, 26424 , 2018-01-12
vlfeat-0.9.21\bin\maci64\sift, 35120 , 2018-01-12
vlfeat-0.9.21\bin\maci64\test_gauss_elimination, 8812 , 2018-01-12
vlfeat-0.9.21\bin\maci64\test_getopt_long, 8964 , 2018-01-12
vlfeat-0.9.21\bin\maci64\test_gmm, 14084 , 2018-01-12
vlfeat-0.9.21\bin\maci64\test_heap-def, 12980 , 2018-01-12
vlfeat-0.9.21\bin\maci64\test_host, 8852 , 2018-01-12
vlfeat-0.9.21\bin\maci64\test_imopv, 9156 , 2018-01-12
vlfeat-0.9.21\bin\maci64\test_kmeans, 9028 , 2018-01-12
vlfeat-0.9.21\bin\maci64\test_liop, 8900 , 2018-01-12
vlfeat-0.9.21\bin\maci64\test_mathop, 17044 , 2018-01-12
vlfeat-0.9.21\bin\maci64\test_mathop_abs, 8972 , 2018-01-12
vlfeat-0.9.21\bin\maci64\test_nan, 8764 , 2018-01-12
vlfeat-0.9.21\bin\maci64\test_qsort-def, 8828 , 2018-01-12
vlfeat-0.9.21\bin\maci64\test_rand, 8940 , 2018-01-12
vlfeat-0.9.21\bin\maci64\test_sqrti, 8780 , 2018-01-12
vlfeat-0.9.21\bin\maci64\test_stringop, 13228 , 2018-01-12
vlfeat-0.9.21\bin\maci64\test_svd2, 13084 , 2018-01-12
vlfeat-0.9.21\bin\maci64\test_threads, 9160 , 2018-01-12
vlfeat-0.9.21\bin\maci64\test_vec_comp, 9180 , 2018-01-12
vlfeat-0.9.21\bin\win64\aib.exe, 12288 , 2018-01-12
vlfeat-0.9.21\bin\win64\mser.exe, 20992 , 2018-01-12
vlfeat-0.9.21\bin\win64\sift.exe, 27136 , 2018-01-12
vlfeat-0.9.21\bin\win64\test_gauss_elimination.exe, 11264 , 2018-01-12
vlfeat-0.9.21\bin\win64\test_getopt_long.exe, 11776 , 2018-01-12
vlfeat-0.9.21\bin\win64\test_gmm.exe, 13824 , 2018-01-12
vlfeat-0.9.21\bin\win64\test_heap-def.exe, 16384 , 2018-01-12
vlfeat-0.9.21\bin\win64\test_host.exe, 10240 , 2018-01-12
vlfeat-0.9.21\bin\win64\test_imopv.exe, 12288 , 2018-01-12
vlfeat-0.9.21\bin\win64\test_kmeans.exe, 11776 , 2018-01-12
vlfeat-0.9.21\bin\win64\test_liop.exe, 11776 , 2018-01-12
vlfeat-0.9.21\bin\win64\test_mathop.exe, 14336 , 2018-01-12
vlfeat-0.9.21\bin\win64\test_mathop_abs.exe, 11264 , 2018-01-12
vlfeat-0.9.21\bin\win64\test_nan.exe, 10752 , 2018-01-12
vlfeat-0.9.21\bin\win64\test_qsort-def.exe, 11776 , 2018-01-12
vlfeat-0.9.21\bin\win64\test_rand.exe, 11264 , 2018-01-12
vlfeat-0.9.21\bin\win64\test_sqrti.exe, 10752 , 2018-01-12
vlfeat-0.9.21\bin\win64\test_stringop.exe, 14336 , 2018-01-12
vlfeat-0.9.21\bin\win64\test_svd2.exe, 12800 , 2018-01-12
vlfeat-0.9.21\bin\win64\test_threads.exe, 11776 , 2018-01-12
vlfeat-0.9.21\bin\win64\test_vec_comp.exe, 11776 , 2018-01-12
vlfeat-0.9.21\bin\win64\vl.dll, 310784 , 2018-01-12
vlfeat-0.9.21\bin\win64\vl.lib, 98472 , 2018-01-12
vlfeat-0.9.21\COPYING, 1365 , 2018-01-12
vlfeat-0.9.21\data\box.pgm, 72310 , 2018-01-12
vlfeat-0.9.21\data\box.sift, 233055 , 2018-01-12
vlfeat-0.9.21\data\river1.jpg, 450143 , 2018-01-12
vlfeat-0.9.21\data\river2.jpg, 465574 , 2018-01-12
vlfeat-0.9.21\data\roofs1.jpg, 157209 , 2018-01-12
vlfeat-0.9.21\data\roofs2.jpg, 130168 , 2018-01-12
vlfeat-0.9.21\data\spots.jpg, 4942 , 2018-01-12
vlfeat-0.9.21\doc\about.html, 13828 , 2018-01-12
vlfeat-0.9.21\doc\api\aib.html, 12413 , 2018-01-12
vlfeat-0.9.21\doc\api\aib_8c.html, 35166 , 2018-01-12
vlfeat-0.9.21\doc\api\aib_8h.html, 24066 , 2018-01-12
vlfeat-0.9.21\doc\api\annotated.html, 19435 , 2018-01-12
vlfeat-0.9.21\doc\api\array_8h.html, 43140 , 2018-01-12
vlfeat-0.9.21\doc\api\bc_s.png, 676 , 2018-01-12
vlfeat-0.9.21\doc\api\bdwn.png, 147 , 2018-01-12

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

  • Face Description with LBP MATLAB
    说明:  LBP模式下的人脸识别方法,matlab范例,有论文说明,LBP算法(LBP mode of face recognition method, matlab example, there are papers, LBP algorithm)
    2021-02-19 22:07:33下载
    积分:1
  • beta_0
    很好用的风能利用系数曲线,对开始学习的同学有帮助(Good use of wind energy utilization coefficient curve, start learning help students)
    2013-12-01 09:24:29下载
    积分:1
  • Bilateral-Filtering-master
    说明:  双边滤波代码,双边滤波是一种非线性的方法,同时考虑到了图像的空域信息和灰度相似性,以达到保边去噪的目的.双边滤波通过空域矩阵和值域矩阵形成一个新的权重矩阵,其中空域矩阵用来模糊去噪;值域矩阵用来保护边缘.(Bilateral-Filtering code.Bilateral filtering is a nonlinear method, which takes into account the spatial information and gray similarity of the image to achieve the purpose of edge preserving denoising.The range matrix is used to protect edges.)
    2020-07-05 17:01:00下载
    积分:1
  • my_hausdroff2
    说明:  利用图象边缘特征的基于豪思道夫距离的景象匹配算法,匹配速度要比基于灰度的算法高好几个数量级(use of the images on the edge of Ho Sze-Astoria distance from the scene matching algorithm, speed matching gray than the algorithm based on several high-volume)
    2006-05-16 17:26:23下载
    积分:1
  • Arcgis制规范符号库
    为方便土地利用总体规划编制单位制作土地利用总体规划图件,针对市、县、乡三级土地利用总体规划制图,制作市、县、乡土地利用总体规划必选图件的图式符号库。该图式符号库适用于ArcGIS软件平台下的图件制作(In order to facilitate the land use master planning units to make land use master plan maps, for the city, county, Township three-level land use master plan mapping, the city, county, Township land use master plan must be selected map schema symbol library. The graphic symbol library is suitable for map making under the ArcGIS software platform.)
    2018-09-24 15:41:32下载
    积分:1
  • Lane_Detection
    基于视频的车道线检测,首先对视频进行一系列预处理,然后进行边缘检测,霍夫变换直线检测,最后对检测出来的直线进行非车道线排除。(Video-based lane detection, the first of a series of video preprocessing, edge detection and Hough transform line detection, finally detected non-linear lane excluded.)
    2016-07-11 17:46:03下载
    积分:1
  • rigid3D
    3维坐标变换应用于3维图像配准 要下的快啊(3-D coordinate transformation applied to 3-dimensional image registration should be under快啊)
    2007-08-20 19:41:14下载
    积分:1
  • SuperPixelMerge
    说明:  这是一个基于超像素算法的分割小软件,可以用于图像的分割,但是没有语义。使用者如果用于商用,要联系软件中的作者(This is a small software based on super-pixel algorithm, which can be used for image segmentation, but without semantics. Users for commercial use should contact the authors in the software.)
    2021-01-11 19:58:49下载
    积分:1
  • zishiyingyuzhi
    自适应阈值分割代码,比较完整。C++builder编写,可运行/()
    2020-12-05 18:19:24下载
    积分:1
  • 像的小波变换处理
    说明:  运用小波变换将图像从空间域转换到频率域,自己写的代码,欢迎讨论学习(Using wavelet transform to transform image from spatial domain to frequency domain)
    2020-06-14 19:56:19下载
    积分:1
  • 696518资源总数
  • 104269会员总数
  • 31今日下载