As power density increases exponentially, run-time regulation of operating temperature by dynamic thermal management becomes imperative. This paper proposes a novel approach to re...
Hang Li, Pu Liu, Zhenyu Qi, Lingling Jin, Wei Wu, ...
This paper explores an application of support vector regression (SVR) to model predictive control (MPC). SVR is employed to identify a dynamic system from input-output data, and t...
We present an iterative Markov chain Monte Carlo algorithm for computing reference priors and minimax risk for general parametric families. Our approach uses MCMC techniques based...
This paper is concerned with classifying high dimensional data into one of two categories. In various settings, such as when dealing with fMRI and microarray data, the number of v...
Abstract. We present a detection-based three-level hierarchical association approach to robustly track multiple objects in crowded environments from a single camera. At the low lev...