Trainable Weka Segmentation: try to speed up access to data in WarpingError.java
Trainable Weka Segmentation: multi-thread the reversion of splits and mergers to speed the process up.
Trainable Weka Segmentation: add method to calculate precision/recall stats per slice.
Trainable Weka Segmentation: read number of threads to use from the user preferences.
Trainable Weka Segmentation: add method to calculate precision/recall statistics per slice.
Trainable Weka Segmentation: in RandError.java, get number of threads to use from user preferences.
Trainable Weka Segmentation: correct precision and recall definitions, they were swapped.
Trainable Weka Segmentation: add class to store variation of information statistics.
Trainable Weka Segmentation: correct information in javadoc.
Trainable Weka Segmentation: add method to calculate statistics derived from the variation of information per slice.
Trainable Weka Segmentation: add method to calculate precision/recall statistics per slice.
Trainable Weka Segmentation: in WarpingError.java, make sure the number of threads is read from the user preferences.
Merge branch 'trainable-seg-gui'