The application of semi-supervised learning algorithms to large scale vision problems suffers from the bad scaling behavior of most methods. Based on the Expectation Regularization...
A critical aspect of an agent system is the ability to deal with unexpected situations to determine an appropriate course of action in a changing environment. In this paper, we inv...
Computed Tomography (CT) is one of the fastest growing diagnostic imaging procedures. Rapid advances in imaging technologies in conjunction with their widening adoption are some o...
In this paper we extend the state-of-the-art in utilizing background knowledge for supervised classification by exploiting the semantic relationships between terms explicated in O...
Meenakshi Nagarajan, Amit P. Sheth, Marcos Kawazoe...
Statistical quantities, such as expectation (mean) and variance, play a vital role in the present age probabilistic analysis. In this paper, we present some formalization of expect...