In order to understand ongoing activity, observers segment it into meaningful temporal parts. Segmentation can be based on bottom-up processing of distinctive sensory characterist...
Ontology learning integrates many complementary techniques, including machine learning, natural language processing, and data mining. Specifically, clustering techniques facilitat...
A novel video compression scheme is presented in this paper. This algorithm is implemented based on a conditional replenishment Address Event Representation (AER) imager, where im...
We present our system-level co-simulation environment for mixed domain microsystems. The environment provides synchronization and cosimulation between the Chatoyant MOEMS (MicroEl...
D. K. Reed, Steven P. Levitan, J. Boles, Jose A. M...
In this paper we study how the framework of Petri nets can be extended and applied to study recurrent events. We use possibility theory to realistically model temporal properties o...