Learning patterns of human behavior from sensor data is extremely important for high-level activity inference. We show how to extract and label a personās activities and signiļ¬...
Abstract. Building on the current understanding of neural architecture of the visual cortex, we present a graphical model for learning and classiļ¬cation of motion patterns in vid...
In this work a Gaussian Hidden Markov Model (GHMM) based automatic sign language recognition system is built on the SIGNUM database. The system is trained on appearance-based feat...
Face recognition from an image or video sequences is emerging as an active research area with numerous commercial and law enforcement applications. In this paper different Pseudo 2...
In this paper we describe the use of the rewriting logic based Maude tool to model and analyze mammalian signaling pathways. We discuss the representation of the underlying biolog...
Steven Eker, Merrill Knapp, Keith Laderoute, Patri...