—The growing demand for reliable communications leads to the need for very large mean time to lose lock (MTLL) of PLL based synchronization subsystems. These large MTLLs, of the ...
In this paper, we propose a learning-based demosaicing and a restoration error detection. A Vector Quantization (VQ)based method is utilized for learning. We take advantage of a s...
Little research has been conducted so far on causes for errors in business process models. In this paper we investigate on how mainly domain independent factors such as the size or...
In contextual computing, where cues beyond direct user input are used to trigger computation, one of the most daunting challenges is inferring what the user is doing. For the doma...
Victoria Bellotti, Jim Thornton, Alvin Chin, Diane...
Abstract. Existing relational learning approaches usually work on complete relational data, but real-world data are often incomplete. This paper proposes the MGDA approach to learn...