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» Nested Ordered Sets and their Use for Data Modelling
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PODS
2002
ACM
167views Database» more  PODS 2002»
16 years 26 days ago
OLAP Dimension Constraints
In multidimensional data models intended for online analytic processing (OLAP), data are viewed as points in a multidimensional space. Each dimension has structure, described by a...
Carlos A. Hurtado, Alberto O. Mendelzon
107
Voted
PEWASUN
2004
ACM
15 years 6 months ago
A novel solution for achieving anonymity in wireless ad hoc networks
A mobile ad hoc network consists of mobile nodes that can move freely in an open environment. Communicating nodes in a wireless and mobile ad hoc network usually seek the help of ...
Azzedine Boukerche, Khalil El-Khatib, Li Xu, Larry...
CIKM
2008
Springer
15 years 2 months ago
Learning a two-stage SVM/CRF sequence classifier
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
Guilherme Hoefel, Charles Elkan
144
Voted
CIVR
2008
Springer
271views Image Analysis» more  CIVR 2008»
15 years 2 months ago
Multiple feature fusion by subspace learning
Since the emergence of extensive multimedia data, feature fusion has been more and more important for image and video retrieval, indexing and annotation. Existing feature fusion t...
Yun Fu, Liangliang Cao, Guodong Guo, Thomas S. Hua...
128
Voted
BMCBI
2007
157views more  BMCBI 2007»
15 years 23 days ago
Statistical learning of peptide retention behavior in chromatographic separations: a new kernel-based approach for computational
Background: High-throughput peptide and protein identification technologies have benefited tremendously from strategies based on tandem mass spectrometry (MS/MS) in combination wi...
Nico Pfeifer, Andreas Leinenbach, Christian G. Hub...
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