Multiple mixture ICA, where model means and independent components are learned. It is possible to reject data and share component between models to increase efficiency. Matlab and independent gui (using Qt) nterfaces available. Uses MPI and OpenMP for inter-node and intra-node parallelization.
Latest 5 files |
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| 名称 | 大小 | 日期 | 下载总数 |
| amica14.f90 | 150.0 KB | 2014-02-28 09:17 | 4 |
| funmod2.f90 | 17.2 KB | 2014-02-28 08:33 | 6 |
| amica14_header.f90 | 10.6 KB | 2014-02-28 07:06 | 7 |
| mkl_vml.f90 | 92.7 KB | 2012-02-24 04:39 | 115 |
| amicadefs.param | 1.1 KB | 2012-02-19 05:25 | 8 |
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| amica14.f90 | 150.0 KB | 2014-02-28 09:17 | 4 |
| funmod2.f90 | 17.2 KB | 2014-02-28 08:33 | 6 |
| amica14_header.f90 | 10.6 KB | 2014-02-28 07:06 | 7 |
| mkl_vml.f90 | 92.7 KB | 2012-02-24 04:39 | 115 |
| amicadefs.param | 1.1 KB | 2012-02-19 05:25 | 8 |
| mpif.h | 18.2 KB | 2011-10-20 15:33 | 1079 |
