This package implements the “Online Random Forests” (ORF) algorithm of Saffari et al., ICCV-OLCV 2009. This algorithm extends the offline Random Forests (RF) to learn from online training data samples. ORF is a multi-class classifier which is able to learn the classifier without 1-vs-all or 1-vs-1 binary decompositions.
ORF package is implemented in C++ and uses ATLAS/LAPACK subroutines for high performance computations. Currently, it is only tested under Linux (Debian and Ubuntu), but overall it should be possible to run the package on other operating systems with minimal modifications.
- Changes to previous version:
Initial Announcement on mloss.org.
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