登录
首页 » matlab » vlfeat-0.9.212

vlfeat-0.9.212

于 2018-04-30 发布 文件大小:13546KB
0 131
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

  • 书法特征提取
    说明:  用数字图像处理方法提取书法特征 实现书法骨架提取(Using digital image processing method to extract calligraphy features)
    2020-01-06 20:26:16下载
    积分:1
  • LD24_SlimeWorld_ProjectFile
    好东西,下下来看就知道了好东西,下下来看就知道了(Good things, under the terms of the next good thing to know, under the circumstances of view to know)
    2013-11-18 08:52:20下载
    积分:1
  • 20075814494849
    把一副画转化为由彩色字符(8个字符)组成的画。最简单、实用、绿色的软件!!!    提供VB源代码!!! (The grounds of color into a painting of characters (eight characters), composed of paintings. The most simple, practical, green software! ! ! VB source code provided! ! !)
    2009-05-18 02:39:50下载
    积分:1
  • PlateIdentify
    该源程序构建了车牌识别系统,里面包含相应的模板,可以直接运行(The source code license plate recognition system was constructed, which contains the appropriate template, you can directly run)
    2015-12-15 17:08:30下载
    积分:1
  • FeatureExtractionFromPointClouds
    点云特征提取 详细 实用 经典的讲述过程及方法(Point Cloud Feature Extraction practical details about the processes and methods of classic)
    2020-07-09 10:18:55下载
    积分:1
  • xulietuxiangjianceyuchongjian
    针对目前工业制造领域面临的难题,提出利用非量测数字摄像机进行工业钣金件高精度三维重建与视觉检测.采用二维直接线性变换分解摄像机参数初值并结合光束法平差进行高精度标定 利用最小二乘模板匹配提取像面上的点、直线信息并进行混合光束法平差,从而进行钣金件的高精度三维重建及其尺寸制造误差的检测.所开发的视觉检测系统硬件成本低、自动化程度较高,实际数据的多次实验均取得了优于1/8 000的相对精度,说明所论述的方法为工业零件的自动化三维检测提供了一条可行途径.(View of the current challenges facing the field of industrial manufacturing, made use of non-metric digital camera precision sheet metal parts for industrial reconstruction and visual inspection. Using two-dimensional direct linear transformation and the decomposition of initial parameters of the camera bundle adjustment with high accuracy calibration extracted by the least square template matching, like the surface of point, line information and mixed bundle adjustment to the three-dimensional reconstruction of high-precision sheet metal parts and the size of the detection of manufacturing errors. visual inspection system developed by the hardware low cost, high degree of automation, the actual data, many experiments have achieved better than 1/8000 of the relative accuracy, that the methods discussed in the automation of industrial components to provide a feasible three-dimensional detection approach.)
    2010-12-02 11:56:32下载
    积分:1
  • shuangxianxing
    用 双 线 性 插 值 法 实 现 图 像 缩 放(Using bilinear interpolation for image zooming)
    2010-05-18 20:32:58下载
    积分:1
  • 超像素分割程序
    超像素实现图像分割,可以实现彩色图像分割(An EM algorithm is used for image segmentation.)
    2020-06-18 21:40:01下载
    积分:1
  • 点云特征提取 详细 实用 经典的讲述过程及方法FeatureExtractionFromPointClouds
    点云特征提取 详细 实用 经典的讲述过程及方法(Point Cloud Feature Extraction practical details about the processes and methods of classic)
    2020-07-09 10:18:55下载
    积分:1
  • 非均匀有理B样条 第2版
    说明:  非均匀有理B样条 第2版.pdf NURBS理论经典书籍(The nurbs book(second edition) NURBS Theory Classic Books)
    2019-06-25 02:52:58下载
    积分:1
  • 696518资源总数
  • 104349会员总数
  • 32今日下载