Multiple instance (MI) learning is a recent learning paradigm that is more flexible than standard supervised learning algorithms in the handling of label ambiguity. It has been u...
Abstract—In the real world, many applications are nonstationary optimization problems. This requires that optimization algorithms need to not only find the global optimal soluti...
Abstract. This paper introduces a new model-based approach for simultaneously reconstructing 3D human motion and full-body skeletal size from a small set of 2D image features track...
A segmentation strategy is explored for monophonic instrumental pitched non-percussive material (PNP) which proceeds from the assertion that human-like event analysis can be found...
Abstract. This paper describes our participation in the Ontology Alignment Evaluation Initiative (OAEI) 2009 with the AgreementMaker system for ontology matching, in which we obtai...
Isabel F. Cruz, Flavio Palandri Antonelli, Cosmin ...