In this paper we introduce a novel optimization framework for hierarchical data clustering and apply it to the problem of unsupervised texture segmentation. The proposed objective...
A course on pervasive computing should be structured around key functions throughout a systems development process to cover common underlying concerns throughout science and engin...
The decomposition method is currently one of the major methods for solving the convex quadratic optimization problems being associated with support vector machines. For a special c...
—This paper presents an efficient technique for the estimation of the routed wirelength during global placement using the wire density of the net. The proposed method identifie...
The aim of this paper is to compare different log-likelihood scoring methods, that different sites used in the latest state-of-the-art Joint Factor Analysis (JFA) Speaker Recognit...
Ondrej Glembek, Lukas Burget, Najim Dehak, Niko Br...