This paper describes a novel view-based learning algorithm for 3D object recognition from 2D images using a network of linear units. The SNoW learning architecture is a sparse netw...
Visualization is essential for understanding the increasing volumes of digital data. However, the process required to create insightful visualizations is involved and time consumin...
Emanuele Santos, Lauro Lins, James P. Ahrens, J...
—Navigating large software systems is difficult as the various artifacts are distributed in a huge space, while the relationships between different artifacts often remain hidden...
Abstract— We propose a novel online framework for detecting moving shadows in video sequences using statistical learning techniques. In this framework, Support Vector Machines ar...
This paper discusses some of the implications of introducing the dynamic object role concept into object-oriented metamodels on both implementational and conceptual modeling levels...
Andrzej Jodlowski, Piotr Habela, Jacek Plodzien, K...