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» Invariances in kernel methods: From samples to objects
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BMCBI
2011
13 years 4 months ago
Comparing genotyping algorithms for Illumina's Infinium whole-genome SNP BeadChips
Background: Illumina’s Infinium SNP BeadChips are extensively used in both small and large-scale genetic studies. A fundamental step in any analysis is the processing of raw all...
Matthew E. Ritchie, Ruijie Liu, Benilton Carvalho,...
ICASSP
2011
IEEE
13 years 23 days ago
Adaptive N-normalization for enhancing music similarity
The N-Normalization is an efficient method for normalizing a given similarity computed among multimedia objects. It can be considered for clustering and kernel enhancement. Howev...
Mathieu Lagrange, George Tzanetakis
ICIAR
2005
Springer
14 years 2 months ago
Color Indexing by Nonparametric Statistics
A method for color indexing is proposed that is based upon nonparametric statistical techniques. Nonparametrics compare the ordinal rankings of sample populations, and maintain the...
Ian Fraser, Michael A. Greenspan
HUC
2009
Springer
14 years 1 months ago
From spaces to places: emerging contexts in mobile privacy
Mobile privacy concerns are central to Ubicomp and yet remain poorly understood. We advocate a diversified approach, enabling the cross-interpretation of data from complementary m...
Clara Mancini, Keerthi Thomas, Yvonne Rogers, Blai...
TKDE
2002
133views more  TKDE 2002»
13 years 8 months ago
Binary Rule Generation via Hamming Clustering
The generation of a set of rules underlying a classification problem is performed by applying a new algorithm, called Hamming Clustering (HC). It reconstructs the and-or expressio...
Marco Muselli, Diego Liberati