This paper describes a new technique for allowing multiple users to haptically interact with a set of deformable slowly-simulated objects in a stable manner. Stability has been ap...
Federico Barbagli, John Kenneth Salisbury Jr., Dom...
In this paper, we propose a real-time gesture tracking technique for the personalized user interface exploiting non-contact 3D vision technique. We first separate a user of intere...
Process variations have become a critical issue in performance verification of high-performance designs. We present a new, statistical timing analysis method that accounts for int...
In this paper, we propose a novel technique for the efficient prediction of multiple continuous target variables from high-dimensional and heterogeneous data sets using a hierarch...
Aleksandar Lazarevic, Ramdev Kanapady, Chandrika K...
We present a mixture model based approach for learning individualized behavior models for the Web users. We investigate the use of maximum entropy and Markov mixture models for ge...