We present a novel mixed-state dynamic Bayesian network (DBN) framework for modeling and classifying timeseries data such as object trajectories. A hidden Markov model (HMM) of di...
Vladimir Pavlovic, Brendan J. Frey, Thomas S. Huan...
We present a hierarchical architecture and learning algorithm for visual recognition and other visual inference tasks such as imagination, reconstruction of occluded images, and e...
Abstract-- Network management and operations are complicated, tedious, and error-prone, requiring significant human involvement and domain knowledge. As the complexity involved ine...
Xu Chen, Yun Mao, Zhuoqing Morley Mao, Jacobus E. ...
— There are two main limitations in the conventional robot-assisted spinal fusion surgery. Since the end effector in the state of art has a role of guiding the insertion pose of ...
Jongwon Lee, Keehoon Kim, Wan Kyun Chung, Seungmoo...
In this paper we describe a study that examines human performance in a tilt control targeting task on a PDA. A three-degree of freedom accelerometer attached to the base of the PDA...