登录
首页 » matlab » techniques

techniques

于 2016-11-23 发布 文件大小:883KB
0 217
下载积分: 1 下载次数: 15

代码说明:

  这是一个非常有用的程序主要是用来光谱降维处理的手段有PCA,LCA,LLE,Isomap等(This is a very useful procedure mainly used for spectral dimension reduction processing by means of PCA, LCA, LLE, Isomap, etc.)

文件列表:

techniques
..........\backprop.m,3235,2015-03-10
..........\backprop_gradient.m,2992,2015-03-10
..........\cca.m,14846,2015-03-10
..........\cfa.m,6433,2015-03-10
..........\cg_update.m,3715,2015-03-10
..........\charting.m,3137,2015-03-10
..........\checkgrad.m,1979,2015-03-10
..........\combn.m,2880,2015-03-10
..........\components.m,1601,2015-03-10
..........\computegr.c,2780,2015-03-10
..........\computegr.dll,7168,2015-03-10
..........\computegr.mexa64,9340,2015-03-10
..........\computegr.mexglx,6588,2015-03-10
..........\computegr.mexmaci,12784,2015-03-10
..........\computegr.mexmaci64,9056,2015-03-10
..........\compute_recon_err.m,2006,2015-03-10
..........\csdp.exe,1112229,2015-03-10
..........\csdp.m,6304,2015-03-10
..........\csdplinux,1696895,2015-03-10
..........\csdpmac,82476,2015-03-10
..........\csdpmaci,89600,2015-03-10
..........\d2p.m,3487,2015-03-10
..........\diffusion_maps.m,1730,2015-03-10
..........\dijk.m,3641,2015-03-10
..........\dijkstra.cpp,30714,2015-03-10
..........\dijkstra.m,2179,2015-03-10
..........\dijkstra.mexglx,16937,2015-03-10
..........\dijkstra.mexmaci,23020,2015-03-10
..........\dijkstra.mexmaci64,20776,2015-03-10
..........\em_pca.m,3455,2015-03-10
..........\fa.m,1981,2015-03-10
..........\fastmvu.m,4478,2015-03-10
..........\fibheap.h,3046,2015-03-10
..........\find_nn.c,3746,2015-03-10
..........\find_nn.m,2149,2015-03-10
..........\find_nn_adaptive.m,3044,2015-03-10
..........\gda.m,3610,2015-03-10
..........\gplvm.m,1328,2015-03-10
..........\gplvm_grad.m,1435,2015-03-10
..........\gram.m,2126,2015-03-10
..........\hillclimber2c.m,1106,2015-03-10
..........\hill_obj.m,781,2015-03-10
..........\hlle.m,4055,2015-03-10
..........\infermfa.m,1812,2015-03-10
..........\isomap.m,2527,2015-03-10
..........\jdqr.m,73068,2015-03-10
..........\jdqz.m,78986,2015-03-10
..........\kernel_function.c,7053,2015-03-10
..........\kernel_function.m,5403,2015-03-10
..........\kernel_function.mexmaci,17228,2015-03-10
..........\kernel_pca.m,4184,2015-03-10
..........\L2_distance.m,2226,2015-03-10
..........\landmark_isomap.m,3177,2015-03-10
..........\laplacian_eigen.m,3508,2015-03-10
..........\lda.m,2348,2015-03-10
..........\llc.m,4145,2015-03-10
..........\lle.m,4634,2015-03-10
..........\lltsa.m,3279,2015-03-10
..........\lmnn.m,5421,2015-03-10
..........\lmvu.m,8540,2015-03-10
..........\lpp.m,3140,2015-03-10
..........\ltsa.m,3397,2015-03-10
..........\mcml.m,2304,2015-03-10
..........\mcml_grad.m,1366,2015-03-10
..........\mds.m,1019,2015-03-10
..........\mexCCACollectData.c,8151,2015-03-10
..........\mexCCACollectData.dll,6656,2015-03-10
..........\mexCCACollectData.mexa64,11814,2015-03-10
..........\mexCCACollectData.mexglx,9096,2015-03-10
..........\mexCCACollectData.mexmaci,17068,2015-03-10
..........\mexCCACollectData.mexmaci64,13392,2015-03-10
..........\mexCCACollectData2.c,6292,2015-03-10
..........\mexCCACollectData2.dll,8192,2015-03-10
..........\mexCCACollectData2.mexa64,10202,2015-03-10
..........\mexCCACollectData2.mexglx,7836,2015-03-10
..........\mexCCACollectData2.mexmaci,16972,2015-03-10
..........\mexCCACollectData2.mexmaci64,13200,2015-03-10
..........\mgs.m,1016,2015-03-10
..........\minimize.m,8254,2015-03-10
..........\mppca.m,4909,2015-03-10
..........\mvu_x.m,1506,2015-03-10
..........\mvu_x_grad.m,1376,2015-03-10
..........\nca.m,2343,2015-03-10
..........\nca_lin_grad.m,2127,2015-03-10
..........\npe.m,4105,2015-03-10
..........\pca.m,2269,2015-03-10
..........\readsol.m,4117,2015-03-10
..........\recon_data_from_autoenc.m,1092,2015-03-10
..........\roll_out.m,1013,2015-03-10
..........\run_data_through_autoenc.m,1415,2015-03-10
..........\run_data_through_network.m,973,2015-03-10
..........\run_llc.m,2315,2015-03-10
..........\sammon.m,7108,2015-03-10
..........\sdecca2.m,7185,2015-03-10
..........\sne.m,3233,2015-03-10
..........\sparse_nn.m,972,2015-03-10
..........\spe.m,3719,2015-03-10
..........\sym_sne.m,3228,2015-03-10
..........\train_autoencoder.m,2113,2015-03-10

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

  • calibr
    如果你有一个三维校准对象,你可以应付一个单一的形象。为了获得令人满意的校正结果,对象应包括整个图像以及可能的。此外,多张图片的支持。那么, 图像应捕获不同的观点改变了相机 方向和距离。如果在一个平面标定目标单一 形象是不够的和一套图像是需要解决所有 摄像机的参数。的坐标平面控制点应 被选中,这样的Z坐标成为为零。三维坐标股 毫米和图像坐标单位是像素。校准坐标 系统是用右手。原产地的图像坐标系中 左上角, X轴是正确的和Y轴向下。(If you have a three-dimensional calibration object, you can cope with a single image. Calibration In order to obtain satisfactory results, the target should include the entire image, as well as possible. In addition, the support of many pictures. Then, the image should capture different points of view camera has changed the direction and distance. If a planar calibration target at a single image is not enough and a set of images are necessary to solve all the camera parameters. The coordinates of horizontal control points should be selected, such as Z coordinates become zero. Unit-mm three-dimensional coordinates and image coordinates are pixel units. Calibration are right-handed coordinate system. Origin of the image coordinate system in the upper left corner, X-axis and Y are correct under axial.)
    2009-03-01 01:29:25下载
    积分:1
  • web_download
    script that downloads, converts and saves from a webpage using Matlab
    2013-10-30 03:47:17下载
    积分:1
  • Griewank
    matlab平台下的测试函数Griewank,对于用来测试粒子群、遗传等智能算法的性能非常有用(matlab platform test function Griewank, used to test for the PSO, the performance of genetic algorithms and other useful intelligence)
    2011-09-26 16:35:08下载
    积分:1
  • capacity
    现代编码调制作业,不同信噪比下的信道容量计算(Modern coding and modulation operations, different SNR channel capacity calculation)
    2011-11-21 18:48:43下载
    积分:1
  • matlabtosolve
    基于MATLAB实现的说话人识别程序,分别用bp、pnn、som、rbf、lvq等算法,对语音文件进行训练和测试,效果不错。~..~ 下面说明一下bprengong程序: 数据分别用来训练和测试两部分。 具体程序分为两部分,第一部分为:计算识别模型 变量v是mfcc处理以后的矢量。因为数据可能长短不一,所以放在同一进行截取。p的每一行代表一个语音数据(共15个)。变量Pr为每一行的最大最小值。变量T为目标值。输出神经元个数为15。 在训练阶段,如果用于训练的输入训练样本的类别标号为i(即语音数据的标号),则训练时设第i个节点的期望输出设为1。其余节点期望输出均为0。 在识别时,当一个未知类别的样本作用到输入端时,考查各输出节点的输出,并将这个样本的类别判定为输出值最大的那个节点对应的类别。 (err)
    2008-04-16 16:07:34下载
    积分:1
  • program
    this code is used for frequency modulation in matlab
    2011-05-24 19:13:13下载
    积分:1
  • Wnn0801
    基于墨西哥草帽小波和BP神经网络算法实现预测分析。(Predictive analysis based on Mexican hat wavelet and BP neural network algorithm.)
    2013-01-30 16:50:10下载
    积分:1
  • SEM_matlab
    It can be applyed forthe Spectral Element Method conbined finite element and spectral method to solve the 2D wave equation.as a pecial case is SH. dynamic fault with slip weakening is considered either.
    2011-11-21 20:32:37下载
    积分:1
  • three_motor
    Induction motor simulation model, based on matlab/simulink environment for development
    2015-04-19 16:13:57下载
    积分:1
  • Random-medium11
    随机介质的模型建立,用于地震波模拟的研究!(Random medium model, used in seismic wave simulation research!)
    2021-01-20 09:28:42下载
    积分:1
  • 696516资源总数
  • 106913会员总数
  • 8今日下载