The incremental updating of classifiers implies that their internal parameter values can vary according to incoming data. As a result, in order to achieve high performance, incre...
This paper presents ontology-based architecture for pattern recognition in the context of static source code analysis. The proposed system has three subsystems: parser, OWL ontolog...
This paper describes a preliminary algorithm performing the mapping of sound to music score. Our procedure is constructed over signal-extracted energy and fundamental frequency tra...
Untranslated words still constitute a major problem for Statistical Machine Translation (SMT), and current SMT systems are limited by the quantity of parallel training texts. Augm...
In this paper, we present a novel localized Markov random field (MRF) method based on superpixels for region segmentation. Early vision problems could be formulated as pixel label...