In this paper, we address the problem of designing a scalable, accurate query processor for peerto-peer filesharing and similar distributed keyword search systems. Using a global...
Boon Thau Loo, Joseph M. Hellerstein, Ryan Huebsch...
Abstract. Naive Bayes Nearest Neighbor (NBNN) is a feature-based image classifier that achieves impressive degree of accuracy [1] by exploiting ‘Image-toClass’ distances and b...
Treating visual object tracking as foreground and background classification problem has attracted much attention in the past decade. Most methods adopt mean shift or brute force s...
Learning Deterministic Finite Automata (DFA) is a hard task that has been much studied within machine learning and evolutionary computation research. This paper presents a new met...
The problem addressed by this paper is accurate and automatic gene annotation following precise identification/annotation of exon and intron boundaries of biologically verified ...
Alexandre Tchourbanov, Daniel Quest, Hesham H. Ali...