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...
1 This paper presents a solution to the test time minimization problem for core-based systems that contain sequential cores with STUMPS architecture. We assume a hybrid BIST approa...
Gert Jervan, Petru Eles, Zebo Peng, Raimund Ubar, ...
This research is about automatic identification and extraction of person names in Chinese text documents. Solutions to this problem have immediate and extensive applications in ma...