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» A Description Logic System for Learning in Complex Domains
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ICRA
2005
IEEE
138views Robotics» more  ICRA 2005»
14 years 1 months ago
Urban Object Recognition from Informative Local Features
Abstract— Autonomous mobile agents require object recognition for high level interpretation and localization in complex scenes. In urban environments, recognition of buildings mi...
Gerald Fritz, Christin Seifert, Lucas Paletta
SEKE
1993
Springer
13 years 12 months ago
Recovering Conceptual Data Models is Human-Intensive
1 To handle the complexity of modern software systems, a software comprehension strategy pointing out the al abstraction level is necessary. In this context, the role of technology...
Fabio Abbattista, Filippo Lanubile, Giuseppe Visag...
IEEESCC
2007
IEEE
14 years 2 months ago
Deriving executable BPEL from UMM Business Transactions
UN/CEFACT’s Modeling Methodology (UMM) is a UML profile for modeling global B2B choreographies. The basic building blocks of UMM are business transactions, which describe the e...
Birgit Hofreiter, Christian Huemer, Philipp Liegl,...
IDA
2009
Springer
13 years 5 months ago
Estimating Hidden Influences in Metabolic and Gene Regulatory Networks
We address the applicability of blind source separation (BSS) methods for the estimation of hidden influences in biological dynamic systems such as metabolic or gene regulatory net...
Florian Blöchl, Fabian J. Theis
CAISE
2006
Springer
13 years 11 months ago
Loosely-Coupled Process Automation in Medical Environments
Abstract. We discuss a case study for the hospital scenario where workflow model components are distributed across various computers or devices (e.g. mobile phones, PDAs, sensors, ...
Jurate Vysniauskaite