gplvm
所属分类：matlab编程
开发工具：matlab
文件大小：1345KB
下载次数：48
上传日期：2016-03-25 09:58:50
上 传 者：
星垂绿野
说明： 这是一个用于高斯过程隐变量模型的工具箱，其中包含了MATLAB/C/PYTHON三种语言版本
(As of July 2005 a C++ implementation of the GPLVM exists which has most of the flexibility of this software but runs much faster. However as of this time it cannot handle very large data sets as the sparsification algorithm (i.e. the IVM) is not implemented.
Expected code updates in the near future: different kernels associated with each dimension of the IVM code (update to take place in IVM toolbox).
A note on speed issues:
This toolbox is designed to be flexible, not fast. Large improvements in running speed can be obtained by removing that flexibility (e.g. by fixing the kernel type and the noise model etc.).
Version 2.1 Release Notes
-
As part of releasing the new FGPLVM toolbox, which uses a different sparsification approach for dealing with large data sets, large portions of the original GPLVM code were moved into two new toolboxes: the datasets toolbox and the mltools toolbox. These toolboxes are now required for running the GPLVM toolbox.
Version)
文件列表:
gplvm\a (fast) implementation of gaussian process latent variable models (0, 2015-05-27)
gplvm\a (fast) implementation of gaussian process latent variable models\demos (0, 2015-05-27)
gplvm\a (fast) implementation of gaussian process latent variable models\demos\cootesModify.m (565, 2015-05-27)
gplvm\a (fast) implementation of gaussian process latent variable models\demos\cootesVisualise.m (742, 2015-05-27)
gplvm\a (fast) implementation of gaussian process latent variable models\demos\demEdinburgh1.m (1843, 2015-05-27)
gplvm\a (fast) implementation of gaussian process latent variable models\demos\demEdinburgh2.m (1076, 2015-05-27)
gplvm\a (fast) implementation of gaussian process latent variable models\demos\demEpfl.m (1422, 2015-05-27)
gplvm\a (fast) implementation of gaussian process latent variable models\demos\demFace1.m (1862, 2015-05-27)
gplvm\a (fast) implementation of gaussian process latent variable models\demos\demFranck.m (224, 2015-05-27)
gplvm\a (fast) implementation of gaussian process latent variable models\demos\demIbm.m (2878, 2015-05-27)
gplvm\a (fast) implementation of gaussian process latent variable models\demos\demIdiap.m (1431, 2015-05-27)
gplvm\a (fast) implementation of gaussian process latent variable models\demos\demManifold.m (1175, 2015-05-27)
gplvm\a (fast) implementation of gaussian process latent variable models\demos\demManifold.mat (3564040, 2015-05-27)
gplvm\a (fast) implementation of gaussian process latent variable models\demos\demOxford.asv (2974, 2015-05-27)
gplvm\a (fast) implementation of gaussian process latent variable models\demos\demOxford.m (3215, 2015-05-27)
gplvm\a (fast) implementation of gaussian process latent variable models\demos\demPrintManifold.m (1338, 2015-05-27)
gplvm\a (fast) implementation of gaussian process latent variable models\demos\demTuebingen.m (873, 2015-05-27)
gplvm\a (fast) implementation of gaussian process latent variable models\demos\ericrun.model (77006, 2015-05-27)
gplvm\a (fast) implementation of gaussian process latent variable models\demos\ericrun_back_constrained.model (77047, 2015-05-27)
gplvm\a (fast) implementation of gaussian process latent variable models\demos\franck.mat (52808, 2015-05-27)
gplvm\a (fast) implementation of gaussian process latent variable models\demos\prepDemManifold.m (737, 2015-05-27)
gplvm\a (fast) implementation of gaussian process latent variable models\demos\swagger.model (235660, 2015-05-27)
gplvm\a (fast) implementation of gaussian process latent variable models\demos\swagger_back_constrained.model (235724, 2015-05-27)
gplvm\a (fast) implementation of gaussian process latent variable models\demos\swagger_dynamics.model (236062, 2015-05-27)
gplvm\a (fast) implementation of gaussian process latent variable models\demos\tfaceGetBoundingBox.m (323, 2015-05-27)
gplvm\a (fast) implementation of gaussian process latent variable models\demos\tfaceLoadConnectivity.m (1077, 2015-05-27)
gplvm\a (fast) implementation of gaussian process latent variable models\demos\tfaceParse.m (591, 2015-05-27)
gplvm\a (fast) implementation of gaussian process latent variable models\demos\tfaceParseFrame.m (795, 2015-05-27)
gplvm\a (fast) implementation of gaussian process latent variable models\demos\tfaceParseGenerateFilename.m (209, 2015-05-27)
gplvm\a (fast) implementation of gaussian process latent variable models\matlab (0, 2015-05-27)
gplvm\a (fast) implementation of gaussian process latent variable models\matlab\activeSetGradient.m (578, 2015-05-27)
gplvm\a (fast) implementation of gaussian process latent variable models\matlab\additionalfiles.txt (110, 2015-05-27)
gplvm\a (fast) implementation of gaussian process latent variable models\matlab\classVisualise.m (2019, 2015-05-27)
gplvm\a (fast) implementation of gaussian process latent variable models\matlab\Contents.m (3465, 2015-05-27)
gplvm\a (fast) implementation of gaussian process latent variable models\matlab\demBrendan.m (223, 2015-05-27)
gplvm\a (fast) implementation of gaussian process latent variable models\matlab\demBrendan1.m (1097, 2015-05-27)
gplvm\a (fast) implementation of gaussian process latent variable models\matlab\demBrendan2.m (1083, 2015-05-27)
gplvm\a (fast) implementation of gaussian process latent variable models\matlab\demBrendan3.m (1093, 2015-05-27)
gplvm\a (fast) implementation of gaussian process latent variable models\matlab\demCepstral.m (1098, 2015-05-27)
gplvm\a (fast) implementation of gaussian process latent variable models\matlab\demCepstral1.m (1098, 2015-05-27)
... ...
GP-LVM Software
===============
This is a deprecated release of GPLVM matlab software. Alternative GP-LVM implementations from this site: The GP-LVM C++ software is available from [here](/gplvmcpp/). The main GPLVM release is the FGPLVM toolbox which uses a different form of sparsification. This release is maintained only occaisionally. This new version is available [here](/fgplvm/).
Release Information
-------------------
**Current release is 2.11**.
As well as downloading the GPLVM software you need to obtain the toolboxes specified below.
| **Toolbox** | **Version** |
|----------------------------------------------|-------------|
| [NETLAB](/netlab/downloadFiles/vrs3p3) | 3.3 |
| [PRIOR](/prior/downloadFiles/vrs0p22) | 0.22 |
| [OPTIMI](/optimi/downloadFiles/vrs0p132) | 0.132 |
| [DATASETS](/datasets/downloadFiles/vrs0p135) | 0.135 |
| [MLTOOLS](/mltools/downloadFiles/vrs0p131) | 0.131 |
| [KERN](/kern/downloadFiles/vrs0p221) | 0.221 |
| [NDLUTIL](/ndlutil/downloadFiles/vrs0p16) | 0.16 |
| [IVM](/ivm/downloadFiles/vrs0p4) | 0.4 |
| [NOISE](/noise/downloadFiles/vrs0p14) | 0.14 |
This release includes updates to the files for reading GPLVMs from the C++ code.
Page updated on Fri Apr 17 17:47:17 2009
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