We present a simple method for language independent and task independent text categorization learning, based on character-level n-gram language models. Our approach uses simple in...
While decision trees have been used primarily for classification, they can also model regression or function approximation. Like classification trees, regression trees often yield...
This paper describes our approaches to the opinion retrieval and blog distillation tasks for the Blog Track. For opinion retrieval we employ a two-stage framework consisting of ke...
The Simultaneous Localisation And Mapping (SLAM) for a camera moving in a scene is a long term research problem. Here we improve a recent visual SLAM which applies Local Bundle Ad...
Alexandre Eudes, Maxime Lhuillier, Sylvie Naudet-C...
Support vector machine (SVM) is one of the most popular and promising classification algorithms. After a classification rule is constructed via the SVM, it is essential to evaluat...