The incremental updating of classifiers implies that their internal parameter values can vary according to incoming data. As a result, in order to achieve high performance, incre...
We introduce a computationally feasible, "constructive" active learning method for binary classification. The learning algorithm is initially formulated for separable cl...
This paper deals with the surveillance problem of computing the motions of one or more robot observers in order to maintain visibility of one or several moving targets. The target...
We introduce a new search problem motivated by computational metrology. The problem is as follows: we would like to locate two unknown numbers x, y [0, 1] with as little uncertain...
The complexity of modern mobile phones makes it difficult for developers to understand the power consumption of their applications. Our measurement framework produces fine-graine...