Parallelizing the Training of the Kinect Body Parts Labeling Algorithm

We present the parallelized implementation of decision forest training as used in Kinect to train the body parts classification system. We describe the practical details of dealing with large training sets and deep trees, and describe how to parallelize over multiple dimensions of the problem.

top.pdf
PDF file

In  BigLearn Workshop at NIPS

Details

TypeInproceedings
Share
Share this page on Facebook
Share this page on Twitter
Share this page on LinkedIn
E-mail this page
RSS feeds
> Publications > Parallelizing the Training of the Kinect Body Parts Labeling Algorithm