Fast GMM and Fisher Vectors
- 32 files
- 163 downloads
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.
Cite As
Sebastien PARIS (2020). Fast GMM and Fisher Vectors (https://www.mathworks.com/matlabcentral/fileexchange/38372-fast-gmm-and-fisher-vectors), MATLAB Central File Exchange. Retrieved .
Comments and Ratings (7)
Updates
| 1.2.0.0 | - Fix some compilation issues in mexme_yael_gmm
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| 1.1.0.0 | -Fix/include denseSIFT.c mex-compilation |
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Max E (view profile)
Has anyone successfully built this on Linux? I was able to build after adding the -fopenmp flag, defining min, etc. But the test_yael_gmm script doesn't run, yael_gmm causes a segmentation fault and sample_mvgm has a runtime error. Does anyone have a solution?
White Vison (view profile)
Thank you Sebastien, use your method which is mentioned as below, I get the mexw64 finally...
Sebastien PARIS (view profile)
Venkat,
Now matlab is no more accepting compiled mex-files included in the zip file sorry :(.
Do you encounter some pb for linux when compiling it ?. I know that it can working fine when linked with intel MKL or GOTOlib
Venkat R (view profile)
Hi
Very useful submission.
Can you kindly upload linux mex files if possible. I am failing to compile using gcc on linux.
Thanks in advance
Sebastien PARIS (view profile)
I forgot to mention that it's better to use the ICC compiler from Intel composer instead of MSVC for some linkage problems and/or crash. It's not my fault. Please download the excellent package to setup your intel compiler at :
http://www.mathworks.fr/matlabcentral/fileexchange/38980-mex-setup-for-windows-x64-intel-c-compiler-13-xe
Sebastien PARIS (view profile)
Shen,
For windows plateform, I observed some crashs when using the inshipped BLAS/LACPACK lib. Please download the intel MKL and you shoud mex functions as:
mex -v -DOMP -DBLAS yael_gmm.c "C:\Program Files (x86)\Intel\Composer XE 2013\mkl\lib\intel64\mkl_core.lib" "C:\Program Files (x86)\Intel\Composer XE 2013\mkl\lib\intel64\mkl_intel_lp64.lib" "C:\Program Files (x86)\Intel\Composer XE 2013\mkl\lib\intel64\mkl_intel_thread.lib" -largeArrayDims
Hope will help you.
P.S The main problems occurs usually during linkage and I can't check all configuration systems ..
jefferson shen (view profile)
It's a excellent open source code, but it crashed on my platform when calling the yael_gmm() function. my platform is windows 7, matlab 2010b, compiler is Microsoft Visual C++ 2010. Thank you very much