Abstract. This paper presents a novel probabilistic approach to integrating multiple cues in visual tracking. We perform tracking in different cues by interacting processes. Each p...
In this work, we propose to improve the neighboring relationship ability of the Hidden Markov Chain (HMC) model, by extending the memory lengthes of both the Markov chain process ...
We investigate incremental word learning with few training examples in a Hidden Markov Model (HMM) framework suitable for an interactive learning scenario with little prior knowle...
Abstract. We present a system which consists of a lifelike agent animated in real-time using video and audio analysis from the user. This kind of system could be used for Instant M...
Sylvain Le Gallou, Gaspard Breton, Renaud Sé...
This paper documents an experiment designed to show the value of simulation in understanding the relationship between production run lengths and overall supply chain performance. ...
David J. Parsons, Robin J. Clark, Kevin L. Payette