Abstract. This paper addresses the problem of maximizing the capacity of multichannel slotted ALOHA networks subject to a userspecified deadline and a permissible probability of ex...
—This paper presents a method for learning decision theoretic models of human behaviors from video data. Our system learns relationships between the movements of a person, the co...
In this paper, we present a learning-based image processing technique. We have developed a novel method to map high dynamic range scenes to low dynamic range images for display in...
Query processing on uncertain data streams has attracted a lot of attentions lately, due to the imprecise nature in the data generated from a variety of streaming applications, su...
Cheqing Jin, Ke Yi, Lei Chen 0002, Jeffrey Xu Yu, ...
Sequence data is ubiquitous and finding frequent sequences in a large database is one of the most common problems when analyzing sequence data. Unfortunately many sources of seque...