In this paper, we present a deterministic dependency structure analyzer for Chinese. This analyzer implements two algorithms – Yamada and Nivre models – and two sorts of class...
We propose a novel dependable SRAM with 7T cells and their array structure that avoids a half-selection problem. In addition, we introduce a new concept, "quality of a bit (Q...
Analyzing structure in complex time dependent flow fields is a challenging problem. This paper describes the use of spot noise for the visualization of this type of fields. Spo...
Recently, significant progress has been made on learning structured predictors via coordinated training algorithms such as conditional random fields and maximum margin Markov ne...
sents some concluding remarks and discusses future work. This paper considers the problem of integrating commercial off-the-shelf (COTS) software components into systems with high ...
Paulo Asterio de Castro Guerra, Alexander B. Roman...