In this paper a new approach for activity and dominance modeling in meetings is presented. For this purpose low level acoustic and visual features are extracted from audio and vid...
Feature selection, as a preprocessing step to machine learning, has been very effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and imp...
This paper presents a novel algorithm for unsupervised texture segmentation. We incorporate a set of texture features under a segmentation framework, based on the active contour w...
The increasing aging population has inspired many machine learning researchers to find innovative solutions for assisted living. A problem often encountered in assisted living set...
Abstract. In this paper we examine how the activation of one independent component analysis (ICA) feature changes first and second order statistics of other independent components...