We present a statistical model for organizing image collections which integrates semantic information provided by associated text and visual information provided by image features...
We present a nonparametric Bayesian model for multi-task learning, with a focus on feature selection in binary classification. The model jointly identifies groups of similar tas...
The necessity of a subject–machine–object interaction (SMOI) reference model and its application in electronic publishing of the objects of our culture is considered. The comp...
It has been well established in Cognitive Psychology that humans are able to strategically adapt performance, even highly skilled performance, to meet explicit task goals such as ...
Katherine Eng, Richard L. Lewis, Irene Tollinger, ...
In this paper, we propose the use of the Maximum Entropy approach for the task of automatic image annotation. Given labeled training data, Maximum Entropy is a statistical techniqu...