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CLUSTER
2007
IEEE
16 years 11 days ago
Anomaly localization in large-scale clusters
— A critical problem facing by managing large-scale clusters is to identify the location of problems in a system in case of unusual events. As the scale of high performance compu...
Ziming Zheng, Yawei Li, Zhiling Lan
CIVR
2007
Springer
166views Image Analysis» more  CIVR 2007»
16 years 6 days ago
Multi-level local descriptor quantization for bag-of-visterms image representation
In the past, quantized local descriptors have been shown to be a good base for the representation of images, that can be applied to a wide range of tasks. However, current approac...
Pedro Quelhas, Jean-Marc Odobez
KDD
2005
ACM
139views Data Mining» more  KDD 2005»
15 years 11 months ago
Learning to predict train wheel failures
This paper describes a successful but challenging application of data mining in the railway industry. The objective is to optimize maintenance and operation of trains through prog...
Chunsheng Yang, Sylvain Létourneau
BMCBI
2008
242views more  BMCBI 2008»
15 years 6 months ago
annot8r: GO, EC and KEGG annotation of EST datasets
Background: The expressed sequence tag (EST) methodology is an attractive option for the generation of sequence data for species for which no completely sequenced genome is availa...
Ralf Schmid, Mark L. Blaxter
BMCBI
2008
82views more  BMCBI 2008»
15 years 6 months ago
Envelope: interactive software for modeling and fitting complex isotope distributions
Background: An important aspect of proteomic mass spectrometry involves quantifying and interpreting the isotope distributions arising from mixtures of macromolecules with differe...
Michael T. Sykes, James R. Williamson