We propose and test an objective criterion for evaluation of clustering performance: How well does a clustering algorithm run on unlabeled data aid a classification algorithm? The...
In time-series analysis it is often assumed that observed data can be modelled as being derived from a number of regimes of dynamics, as e.g. in a Switching Kalman Filter (SKF) [1,...
In this paper we evaluate several of the most popular algorithms for segmenting fixations from saccades by testing these algorithms on the scanning patterns of toddlers. We show t...
Frederick Shic, Brian Scassellati, Katarzyna Chawa...
Abstract. Over the last decade there has been a shift from "data-aware" information systems to "process-aware" information systems. To support business processe...
—Existing methods of measuring lifetimes in P2P systems usually rely on the so-called Create-Based Method (CBM) [16], which divides a given observation window into two halves and...