Mercurial > hg > smallbox
comparison examples/Image Denoising/SMALL_ImgDenoise_DL_test_TwoStep_KSVD_MOD_OLS_Mailhe.m @ 212:1d134a1b6f95 luisf_dev
Propagate the change from 'mailhe' to 'opt' in two_step_DL to the examples
| author | bmailhe |
|---|---|
| date | Wed, 21 Mar 2012 18:13:02 +0000 |
| parents | 9c418bea7f6a |
| children |
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| 210:f12a476a4977 | 212:1d134a1b6f95 |
|---|---|
| 260 | 260 |
| 261 % Initialising Dictionary structure | 261 % Initialising Dictionary structure |
| 262 % Setting Dictionary structure fields (toolbox, name, param, D and time) | 262 % Setting Dictionary structure fields (toolbox, name, param, D and time) |
| 263 % to zero values | 263 % to zero values |
| 264 | 264 |
| 265 SMALL.DL(4)=SMALL_init_DL('TwoStepDL', 'mailhe', '', 1); | 265 SMALL.DL(4)=SMALL_init_DL('TwoStepDL', 'opt', '', 1); |
| 266 | 266 |
| 267 | 267 |
| 268 % Defining the parameters for KSVD | 268 % Defining the parameters for KSVD |
| 269 % In this example we are learning 256 atoms in 20 iterations, so that | 269 % In this example we are learning 256 atoms in 20 iterations, so that |
| 270 % every patch in the training set can be represented with target error in | 270 % every patch in the training set can be represented with target error in |