Learning classifiers has been studied extensively the last two decades. Recently, various approaches based on patterns (e.g., association rules) that hold within labeled data hav...
A spatio-temporal autoregressive model is proposed in this paper to address the problem of frame rate up conversion. Every pixel in a skipped frame is generated as a linear combin...
Yongbing Zhang, Debin Zhao, Xiangyang Ji, Ronggang...
This paper develops a classification algorithm in the framework of spectral graph theory where the underlying manifold of a high dimensional data set is described by a graph. The...
Time management is an important aspect of a successful professional life. In order to have a better understanding of where our time goes, we propose a system that summarizes the u...