Abstract. Constrained Natural Languages (CNLs) are becoming an increasingly popular way of writing technical documents such as requirements specifications. This is because CNLs aim...
Abstract. Natural images consist of texture, structure and smooth regions and this makes the task of filtering challenging mainly when it aims at edge and texture preservation. In...
Abstract. Clustering is often considered the most important unsupervised learning problem and several clustering algorithms have been proposed over the years. Many of these algorit...
Abstract. Pronunciation by analogy (PbA) is a data-driven approach to phonetic transcription that generates pronunciations for unknown words by exploiting the phonological knowledg...
Tasanawan Soonklang, Robert I. Damper, Yannick Mar...
Abstract. We examine the problem of detecting nested temporal predicates given the execution trace of a distributed program. We present a technique that allows efficient detection ...