We present a system that enables, for the first time, effective transatlantic cooperative haptic manipulation of objects whose motion is computed using a physically-based model. ...
Mashhuda Glencross, Caroline Jay, Jeff Feasel, Luv...
In this paper, we address the problem of increasing the effectiveness of an intrusion detection system (IDS) for a cluster of nodes in ad hoc networks. To reduce the performance o...
Hadi Otrok, Noman Mohammed, Lingyu Wang, Mourad De...
In this paper, we develop a Bayesian feedback method for incorporating global structure into prior models for binocular stereopsis. Since most stereo scenes contain either backgro...
We present an objective approach for evaluating probability elicitation methods in probabilistic models. Our method draws on ideas from research on learning Bayesian networks: if ...
Recognizing multiple interleaved activities in a video requires implicitly partitioning the detections for each activity. Furthermore, constraints between activities are important ...