This paper reports on an experiment comparing constrained and unconstrained movement in a 2D zooming environment. Results for a directed search task showed a significant decrease ...
The general approach for automatically driving data collection using information from previously acquired data is called active learning. Traditional active learning addresses the...
This paper is about the work on user relevance feedback in image retrieval. We take this problem as a standard two-class pattern classification problem aiming at refining the retri...
Dual supervision refers to the general setting of learning from both labeled examples as well as labeled features. Labeled features are naturally available in tasks such as text c...
Vikas Sindhwani, Prem Melville, Richard D. Lawrenc...
We present an active learning approach to choose image annotation requests among both object category labels and the objects’ attribute labels. The goal is to solicit those labe...