Active data clustering is a novel technique for clustering of proximity data which utilizes principles from sequential experiment design in order to interleave data generation and...
In most volume rendering scenarios implicit classification is performed manually by specification of a transfer function, that maps abstract data values to visual attributes. An a...
A framework for translating speaker's meaning or intention is proposed based on two notions, Illocutionary Force Types (IFTs) for analysis and Decision Parameters (DPs) for g...
The repetitive behavior of a device or system can be described in two ways: a detailed description of one iteration of the behavior, or a summary description of the behavior over ...
We address two issues which arise in the task of detecting anomalous behavior in complex systems with numerous sensor channels: how to adjust alarm thresholds dynamically, within ...
Richard J. Doyle, Suzanne M. Sellers, David Atkins...