Many problems in vision can be formulated as Bayesian inference. It is important to determine the accuracy of these inferences and how they depend on the problem domain. In recent...
Alan L. Yuille, James M. Coughlan, Song Chun Zhu, ...
Research at the Computer Vision Laboratory at the University of Maryland has focussed on developing algorithms and systems that can look at humans and recognize their activities i...
Larry S. Davis, Vasanth Philomin, Ramani Duraiswam...
In response to the consistent increase of elder people living in their apartments, and the need for innovative non-obtrusive tools to connect elders to their caregivers, we starte...
We consider a fragment of XPath named `forward-XPath', which contains all descendant and rightwards sibling axes as well as data equality and inequality tests. The satisfiabi...
A revision algorithm is a learning algorithm that identifies the target concept, starting from an initial concept. Such an algorithm is considered efficient if its complexity (in ...