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 94
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

  • LOD
    这款小DEMO是关于自己学习LOD地形分层算法的例子,其中简单显示了实现算法的过程(The DEMO is a small study on their own examples of LOD terrain hierarchical algorithm, which simply shows the process of algorithm)
    2010-11-29 21:53:33下载
    积分:1
  • AForge.NET_EN
    说明:  AForgeNet 是基于.net框架使用C#高级面向对象语言设计开发的专门为开发者和研究者学习和使用的开源图像处理类库,包括计算机视觉与人工智能,图像处理,神经网络,遗传算法,机器学习(AForgeNet is an open source image processing class library designed and developed for developers and researchers based on. net framework using C # advanced object-oriented language. It includes computer vision and artificial intelligence, image processing, neural network, genetic algorithm and machine learning.)
    2019-06-25 16:52:51下载
    积分:1
  • xpvtkbook_compressed[1]
    vtk、itk、tcl/tk联合开发教程。(vtk, itk, tcl/tk Joint Development Guide.)
    2007-05-07 19:42:45下载
    积分:1
  • Imageembed
    Image to be embedded into an image
    2013-11-19 15:22:55下载
    积分:1
  • siftDemoV4
    说明:  lowe论文的sift算法的MATLAB源代码(MATLAB source code of sift algorithm for lowe paper)
    2019-06-12 10:11:30下载
    积分:1
  • 评估函数
    对两张图片进行均值和mse分析,尤其是两张视差图的分析(Mean and MSE analysis of two pictures)
    2018-05-10 09:29:18下载
    积分:1
  • Untitled1
    yuv格式的视频分解成每一帧图像,使用的是matlab语言(yuv format video into each frame, using matlab language)
    2013-07-18 16:35:29下载
    积分:1
  • xbnl
    小波包分解,求能量程序,,对小波包的了解掌握都很有用,希望对读者游泳(the wavelet packet decomposition and energy distribution )
    2016-08-01 20:18:07下载
    积分:1
  • hand.ply
    常用的三维点云数据,手的三维数据可以用MATLAB和PCL打开。(Common 3D point cloud data)
    2020-07-21 21:18:45下载
    积分:1
  • cximage571full
    图像浏览及处理软件(image viewing and processing software)
    2020-12-27 21:49:02下载
    积分:1
  • 696524资源总数
  • 103872会员总数
  • 62今日下载