• Active learning in cost-sensitive environments 

      Liu, Alexander Yun-chung (2009-12)
      Active learning techniques aim to reduce the amount of labeled data required for a supervised learner to achieve a certain level of performance. This can be very useful in domains where unlabeled data is easy to obtain but ...
    • Active visual category learning 

      Vijayanarasimhan, Sudheendra (2011-05)
      Visual recognition research develops algorithms and representations to autonomously recognize visual entities such as objects, actions, and attributes. The traditional protocol involves manually collecting training image ...