Abstract. Taxonomy provides one of the most powerful ways to navigate sequence data bases but currently, users are forced to formulate queries according to a single taxonomic class...
We present an algorithm which provides the one-dimensional subspace where the Bayes error is minimized for the C class problem with homoscedastic Gaussian distributions. Our main ...
In this paper we discuss our recent research and open issues in structural and semantic analysis of digital videos. Specifically, we focus on segmentation, summarization and class...
This paper presents an approach to people identification using gait based on floor pressure data. By using a large area high resolution pressure sensing floor, we were able to obta...
Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...