Programs for paper "Bearing semi-supervised anomaly detection using only
normal data", by A.Băltoiu and B.Dumitrescu:

- octvreg: the OC-TVreg algorithm
- tf_features: computes features associated with a signal
- test_bearing_diff_train: test program for running semi-supervised anomaly
detection programs on the CWRU dataset; possible algorithms are: OC-TVreg, LOF,
Isolation Forest, RRCF, OC-SVM; the CWRU data should be in a folder
called CWRU in the current folder (the name can be changed, of course).
Training is made on individual loads and testing separately on all loads.
- test_bearing_all_train: same, but training is made on all loads.
- test_bearing_DL_diff_tran: similar to test_bearing_diff_train,
but using DL as anomaly detector.
- test_bearing_DL_all_train: same, but training is made on all loads.

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