The following Matlab project contains the source code and Matlab examples used for fast gmm and fisher vectors.
Fast GMM fitting (diagonal covariances only) with Kmeans initialization and Fisher Vectors computation
Based on the yael package
This toolbox can use BLAS/OpenMP API for faster computation on multi-cores processor.
It accepts dense inputs in single/double precision.
The source code and files included in this project are listed in the project files section, please make sure whether the listed source code meet your needs there.
Project Files:
| File Name | Size |
|---|---|
| denseSIFT.c | 39203 |
| gen_dgauss.m | 333 |
| gen_gauss.m | 449 |
| gen_weight.m | 334 |
| test_yael_gmm.html | 18391 |
| test_yael_gmm.png | 2616 |
| test_yael_gmm_01.png | 22594 |
| test_yael_gmm_02.png | 4717 |
| test_yael_gmm_03.png | 23179 |
| test_yael_gmm_04.png | 22334 |
| test_yael_gmm_05.png | 5796 |
| test_yael_gmm_06.png | 5951 |
| test_yael_gmm_07.png | 4292 |
| image_0001.jpg | 10340 |
| image_0010.jpg | 12969 |
| image_0174.jpg | 81940 |
| license.txt | 1315 |
| mexme_yael_gmm.m | 7421 |
| ndellipse.c | 10625 |
| README_GMM.txt | 774 |
| sample_mvgm.c | 17431 |
| spiral2d.m | 205 |
| test_yael_gmm.m | 7435 |
| yael_fisher_gmm.c | 35681 |
| yael_fisher_gmm_ori.c | 29346 |
| yael_gmm.c | 80242 |
| yael_proba_gmm.c | 27351 |
