Probabilistic Argumentation Systems (PAS) are a technique for representing uncertainty both symbolically and numerically. It is shown that this technique, which combines symbolic ...
We present a new unsupervised method to learn unified probabilistic object models (POMs) which can be applied to classification, segmentation, and recognition. We formulate this a...
Yuanhao Chen, Long Zhu, Alan L. Yuille, HongJiang ...
Teaching introductory object-oriented programming presents considerable challenges. Some of these challenges are due to the intrinsic complexity of the subject matter — object-or...
Abstract. We discuss a membrane-based calculus for the combination of conceptual spaces during runtime. Since our goal is to support emergent properties of behavior (and due to the...
In this paper we present a computational view of an automatic summary generator based on a discourse model that combines semantic, rhetorical and intentional knowledge in order to...
Thiago Alexandre Salgueiro Pardo, Lucia Helena Mac...