This paper proposes a learning scheme based still image super-resolution reconstruction algorithm. Superresolution reconstruction is proposed as a binary classification problem an...
This paper describes an approach to attention based layout segmentation using general principles of the human visual perception to achieve this goal. The text is considered as tex...
We present the metric lens, a new visualization of methodlevel code metrics atop UML class diagrams, which allows performing metric-metric and metric-structure correlations on lar...
We present a pivot-free deterministic algorithm for the inversion of block matrices. The method is based on the Moore-Penrose inverse and is applicable over certain general classe...
This paper presents an approach for applying inductive logic programming to information extraction from HTML documents structured as unranked ordered trees. We consider information...