SVM

More convenient way to use SVM.  Still have to write function which
allows you to add to an already existing svm.
BagOfWords

SVM using Bag of Words technique for mitochondria detection.  Still
need more training data to see effectiveness.
SVMWithBOW

SVM using Bag of Words.  Inputs changed to cells rather than
directories.
SVMChanges

Rather than using 5 by 5 image patches (R25) for the “words”, the
program was changed to use 10 by 10 image patches (R100).
SVM

Small technical changes in how the SVM is created.
SuperVoxel

SuperVoxel class and way of creating classifier inputs (TreeBagger
classifier to be used).
RandomForest

Random forest classifier from Google being used.
TrainingAndTesting

Added training and testing scripts (originally in another directory;
now moved to this one).
BOW

Bag of Words approach added to Super Voxels.
OverallProject

MitochondriaDetection is a script which downloads, detects, and uploads
to OCP API in one put together process.
AddedTraining

Added functions to create training data and your own Random Forest
Models.
MinorEdits

Small edits in print statements.
MinorChanges

Better description for README and slightly more efficient code for
Bag-of-Words training.
Merge pull request #8 from openconnectome/SuperVoxelsRandomForest

Super voxels random forest