For more than a decade, researches on OLAP and multidimensional databases have generated methodologies, tools and resource management systems for the analysis of numeric data. With...
The importance estimation problem (estimating the ratio of two probability density functions) has recently gathered a great deal of attention for use in various applications, e.g....
This paper presents a new framework for anytime heuristic search where the task is to achieve as many goals as possible within the allocated resources. We show the inadequacy of t...
In this paper, we provide some recent extensions to the scalable subband/wavelet video coder MC-EZBC. The enhanced MC-EZBC employs an adaptive motion-compensated temporal filter (M...
Yongjun Wu, Konstantin Hanke, Thomas Rusert, John ...
We present a new online learning algorithm in the selective sampling framework, where labels must be actively queried before they are revealed. We prove bounds on the regret of ou...