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» Data Level Inference Detection in Database Systems
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100
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IROS
2009
IEEE
168views Robotics» more  IROS 2009»
15 years 7 months ago
A stream-based hierarchical anchoring framework
— Autonomous systems situated in the real world often need to recognize, track, and reason about various types of physical objects. In order to allow reasoning at a symbolic leve...
Fredrik Heintz, Jonas Kvarnström, Patrick Doh...
144
Voted
PPOPP
2006
ACM
15 years 6 months ago
McRT-STM: a high performance software transactional memory system for a multi-core runtime
Applications need to become more concurrent to take advantage of the increased computational power provided by chip level multiprocessing. Programmers have traditionally managed t...
Bratin Saha, Ali-Reza Adl-Tabatabai, Richard L. Hu...
99
Voted
BTW
2007
Springer
119views Database» more  BTW 2007»
15 years 6 months ago
Change Management in Large Information Infrastructures - Representing and Analyzing Arbitrary Metadata
Abstract: With information infrastructures getting more and more complex, it becomes necessary to give automated support for managing the evolution of the infrastructure. If change...
Boris Stumm, Stefan Dessloch
113
Voted
ARTMED
2007
347views more  ARTMED 2007»
15 years 23 days ago
A combined MRI and MRSI based multiclass system for brain tumour recognition using LS-SVMs with class probabilities and feature
Objective: This study investigates the use of automated pattern recognition methods on magnetic resonance data with the ultimate goal to assist clinicians in the diagnosis of brai...
Jan Luts, Arend Heerschap, Johan A. K. Suykens, Sa...
ESANN
2007
15 years 2 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann