Abstract--Intermittently connected mobile networks are wireless networks where most of the time there does not exist a complete path from the source to the destination. There are m...
Real-world data -- especially when generated by distributed measurement infrastructures such as sensor networks -- tends to be incomplete, imprecise, and erroneous, making it impo...
We present the results of using Hidden Markov Models (HMMs) for automatic segmentation and recognition of user motions. Previous work on recognition of user intent with man/machin...
C. Sean Hundtofte, Gregory D. Hager, Allison M. Ok...
Mobile code solutions can improve the performances of applications over the Internet by reducing the amount of data that must be transferred across the network. The research on ge...
In this paper, we propose a second order optimization method to learn models where both the dimensionality of the parameter space and the number of training samples is high. In ou...