One important feature of the gene expression data is that the number of genes M far exceeds the number of samples N. Standard statistical methods do not work well when N < M. D...
— Texture analysis plays an increasingly important role in computer vision. Since the textural properties of images appear to carry useful information for discrimination purposes...
Abstract. Process models provide visual support for analyzing and improving complex organizational processes. In this paper, we discuss differences of process modeling languages us...
Kathrin Figl, Jan Mendling, Mark Strembeck, Jan Re...
When correlating the samples with the corresponding class labels, canonical correlation analysis (CCA) can be used for supervised feature extraction and subsequent classification...
Based on the analysis of non-verbal inter-human interaction, this paper proposes a model for estimating human friendships in the presence of a humanoid robot. Our previous study i...