Many classification tasks benefit from integrating manifold learning and semi-supervised learning. By formulating the learning task in a semi-supervised manner, we propose a novel...
The small sample size problem is often encountered in pattern recognition. It results in the singularity of the within-class scatter matrix Sw in Linear Discriminant Analysis (LDA...
— This paper proposes an approach allowing indoor environment supervised learning to recognize relevant features for environment understanding. Stochastic preprocessing methods i...
We examine some research issues in pattern recognition and image processing that have been spurred by the needs of digital libraries. Broader – and not only linguistic – conte...
One research focus of human-centered teamwork is on advanced decision architectures that can help people make effective and timely decisions. This requires distributed team member...