This work describes an approach for the interpretation and explanation of human behavior in image sequences, within the context of a Cognitive Vision System. The information source...
Predicting the performance of a tableau reasoner for an OWL ontology is generally hard. It is even harder for users who are not familiar with the details of tableau algorithms. In ...
Manifold learning can discover the structure of high dimensional data and provides understanding of multidimensional patterns by preserving the local geometric characteristics. Ho...
Understanding the structure of multidimensional patterns, especially in unsupervised case, is of fundamental importance in data mining, pattern recognition and machine learning. Se...
Abstract-- We address low-complexity, highly-accurate frequency offset estimation for MB-OFDM-based UWB systems. We discuss unique characteristics of the MB-OFDM systems, namely, d...