Face recognition is one of the most challenging biometric modalities for personal identification. This is due to a number of factors, including the complexity and variability of th...
In this paper we introduce a general framework for defining the depth of a sequence with respect to a class of observers. We show that our general framework captures all depth not...
We consider the question of how well a given distribution can be approximated with probabilistic graphical models. We introduce a new parameter, effective treewidth, that captures...
This paper demonstrates that generating arguments in natural language requires at an abstract level, and that the ate abstraction cannot be captured by approaches based solely upo...
We introduce a logic for reasoning about evidence that essentially views evidence as a function from prior beliefs (before making an observation) to posterior beliefs (after makin...