We propose a framework to learn scene semantics from surveillance videos. Using the learnt scene semantics, a video analyst can efficiently and effectively retrieve the hidden sem...
Efficient reachability query answering in large directed graphs has been intensively investigated because of its fundamental importance in many application fields such as XML data ...
The expectation maximisation (EM) algorithm has proven to be effective for a range of identification problems. Unfortunately, the way in which the EM algorithm has previously been ...
In this paper, we present a novel joint sparse representation based method for acoustic signal classification with multiple measurements. The proposed method exploits the correla...
Haichao Zhang, Nasser M. Nasrabadi, Thomas S. Huan...
This paper studies system identification of ARMA models whose outputs are subject to finite-level quantization and random packet dropouts. A simple adaptive quantizer and the co...