Material Detail

Scalable Learning in Computer Vision

Scalable Learning in Computer Vision

This video was recorded at NIPS Workshops, Whistler 2009. Computer vision is a challenging application area of machine learning. Recent work has shown that large training sets may yield higher performance in vision tasks like object detection. We overview our work in object detection using a scalable, distributed training system capable of training on more than 100 million examples in just a few hours. We also briefly describe recent work with deep learning algorithms that may allow us to apply these architectures to large datasets as well.
Rate

Quality

  • User Rating
  • Comments
  • Learning Exercises
  • Bookmark Collections
  • Course ePortfolios
  • Accessibility Info

More about this material

Browse...

Disciplines with similar materials as Scalable Learning in Computer Vision

Comments

Log in to participate in the discussions or sign up if you are not already a MERLOT member.
hidden