Dimensionality reduction is a much-studied task in machine learning in which high-dimensional data is mapped, possibly via a non-linear transformation, onto a low-dimensional mani...
A variety of forces are constantly transforming enterprises, thus, requiring them to constantly adapt to changing business environment. This emergent state requires enterprises to...
Recently, we have proposed a comprehensive agent-based e-commerce system. While UML formalized, it lacked details how basic functions – e.g. user request to purchase a given pro...
Maciej Gawinecki, Maria Ganzha, Pawel Kobzdej, Mar...
Traditional governmental structures have organized the capture, use, and management of information along agency lines. These “information silos” are not very useful in a dynam...
This paper explores the integration of textual and visual information for cross-language image retrieval. An approach which automatically transforms textual queries into visual rep...