Abstract. Anomaly detection, detection of deviations from what is considered normal, is an important complement to misuse detection based on attack signatures. Anomaly detection in...
Camera motion estimation is useful for a range of applications. Usually, feature tracking is performed through the sequence of images to determine correspondences. Furthermore, ro...
Relational reinforcement learning (RRL) is a Q-learning technique which uses first order regression techniques to generalize the Qfunction. Both the relational setting and the Q-l...
This paper describes the use of Obstacle Analysis to identify anomaly handling requirements for a safety-critical, autonomous system. The software requirements for the system evolv...
Robyn R. Lutz, Ann Patterson-Hine, Stacy Nelson, C...
This paper describes the use of Obstacle Analysis to identify anomaly-handling requirements for a safetycritical, autonomous system. The software requirements for the system evolv...
Robyn R. Lutz, Stacy Nelson, Ann Patterson-Hine, C...