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» A genetic approach for random testing of database systems
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ICASSP
2010
IEEE
13 years 6 months ago
Real-time content adaptive contrast enhancement for see-through fog and rain
In this paper we present a novel algorithm for improving the visibility of surveillance videos degraded by fog and/or rain. The proposed algorithm adaptively enhances the global a...
Zhen Jia, Hongcheng Wang, Rodrigo Caballero, Ziyou...
ICRA
2010
IEEE
134views Robotics» more  ICRA 2010»
13 years 6 months ago
Understanding and executing instructions for everyday manipulation tasks from the World Wide Web
Service robots will have to accomplish more and more complex, open-ended tasks and regularly acquire new skills. In this work, we propose a new approach to generating plans for su...
Moritz Tenorth, Daniel Nyga, Michael Beetz
BMCBI
2005
151views more  BMCBI 2005»
13 years 7 months ago
ProMiner: rule-based protein and gene entity recognition
Background: Identification of gene and protein names in biomedical text is a challenging task as the corresponding nomenclature has evolved over time. This has led to multiple syn...
Daniel Hanisch, Katrin Fundel, Heinz-Theodor Mevis...
BMCBI
2010
193views more  BMCBI 2010»
13 years 7 months ago
MZmine 2: Modular framework for processing, visualizing, and analyzing mass spectrometry-based molecular profile data
Background: Mass spectrometry (MS) coupled with online separation methods is commonly applied for differential and quantitative profiling of biological samples in metabolomic as w...
Tomás Pluskal, Sandra Castillo, Alejandro V...
KDD
2004
ACM
154views Data Mining» more  KDD 2004»
14 years 8 months ago
Diagnosing extrapolation: tree-based density estimation
There has historically been very little concern with extrapolation in Machine Learning, yet extrapolation can be critical to diagnose. Predictor functions are almost always learne...
Giles Hooker