The selection of valuable features is crucial in pattern recognition. In this paper we deal with the issue that part of features originate from directional instead of common linea...
This paper introduces a strategy for training ensemble classifiers by analysing boosting within margin theory. We present a bound on the generalisation error of ensembled classifi...
Huma Lodhi, Grigoris J. Karakoulas, John Shawe-Tay...
We present a novel sequential clustering algorithm which is motivated by the Information Bottleneck (IB) method. In contrast to the agglomerative IB algorithm, the new sequential ...
Spontaneous multi-party interaction – conversation among groups of three or more participants – is part of daily life. While automated modeling of such interactions has receiv...
Paul M. Aoki, Margaret H. Szymanski, Luke D. Plurk...
Computer graphics concepts have a high visual component. For that reason, teaching this subject should be enriched with the use of small applications showing concepts like near an...