Abstract— We propose a novel online framework for detecting moving shadows in video sequences using statistical learning techniques. In this framework, Support Vector Machines ar...
Statistical Machine Translation (MT) systems have achieved impressive results in recent years, due in large part to the increasing availability of parallel text for system trainin...
Zhiyi Song, Stephanie Strassel, Gary Krug, Kazuaki...
This paper deals with an acronym/definition extraction approach from textual data (corpora) and the disambiguation of these definitions (or expansions). Both steps of our global pr...
Signal nding pattern discovery in unaligned DNA sequences is a fundamental problem in both computer science and molecular biology with important applications in locating regulator...
This paper presents a methodology for learning taxonomic relations from a set of documents that each explain one of the concepts. Three different feature extraction approaches with...