Diffusion Random Forest + Wavelet decomposition in Matlab (master)
Recent Commits
Recent Commits
| Commit | Author | Details | Committed | ||||
|---|---|---|---|---|---|---|---|
| cb160b3accee | Giulio | Let's use features, not raw data! | Jan 18 2021 | ||||
| c113f69da077 | Giulio | Allow using data whose total size is not a multiple integer of winLen… | May 28 2020 | ||||
| aa7644c577c4 | Giulio | Minor | May 22 2020 | ||||
| 93d14a2e404c | Giulio | Minor | May 22 2020 | ||||
| d0b3ba8f2ac7 | Giulio | Fixed typos | May 22 2020 | ||||
| e5534f712b84 | Giulio | minor | May 22 2020 | ||||
| 55f9bc75c851 | Giulio | minor | May 22 2020 | ||||
| 011a79727582 | Giulio | Files oredered | May 22 2020 | ||||
| ba849c975d6b | Giulio | Some warnings added | May 12 2020 | ||||
| a0447782eac5 | Giulio | ppt added | May 12 2020 | ||||
| 47f5eda935d2 | Giulio | First | May 12 2020 |
readme.txt
readme.txt
Instructions:
1) Run DataParser: it reads the data from the local memory, split the signals into windows of the specified size, and saves the database in the rawData folder.
2) Run featExtract: it computes the energy bands using the wavelet transform.
3) Run Prediction: it trains an RF classifier using the database we have built at step 2).
4) Run Generalize to try to train on a specific material and test on another.
1) Run DataParser: it reads the data from the local memory, split the signals into windows of the specified size, and saves the database in the rawData folder.
2) Run featExtract: it computes the energy bands using the wavelet transform.
3) Run Prediction: it trains an RF classifier using the database we have built at step 2).
4) Run Generalize to try to train on a specific material and test on another.
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