We propose a novel nonparametric Bayesian model, Dual Hierarchical Dirichlet Processes (Dual-HDP), for trajectory analysis and semantic region modeling in surveillance settings, i...
Xiaogang Wang, Keng Teck Ma, Gee Wah Ng, W. Eric L...
Hidden Markov chains (HMC) are widely applied in various problems occurring in different areas like Biosciences, Climatology, Communications, Ecology, Econometrics and Finances, ...
An algorithm for video resolution enhancement is presented. The approach borrows from previous methods for still-image superresolution, introducing modifications better suited for...
We address the problem of reinforcement learning in which observations may exhibit an arbitrary form of stochastic dependence on past observations and actions. The task for an age...
This study presents an IT assessment tool that aims at capturing the level of IT sophistication in hospitals. In order to develop a measure that reflects IT capacities in hospital...