Learning from ambiguous training data is highly relevant in many applications. We present a new learning algorithm for classification problems where labels are associated with se...
Sketchy planners are designed to achieve goals in realistically complex, time-pressured, and uncertain task environments. However, the ability to manage multiple, potentially inte...
In general, a certain range of sentences in a text, is widely assumed to form a coherent unit which is called a discourse segment. Identifying the segment boundaries is a first st...
Most studies on discourse markers implicitly assume that only one marker or discourse relation will occur in a sentence. In reality, more than one relation may hold between text s...
In this paper, we present an efficient method for calibrating many camera views simultaneously. We derive an error function based on the mutual consistency of the object silhouett...
Prashant Ramanathan, Eckehard G. Steinbach, Bernd ...