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» A New Indexing Method for High Dimensional Dataset
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ECCV
2010
Springer
15 years 26 days ago
Geodesic Shape Retrieval via Optimal Mass Transport
This paper presents a new method for 2-D and 3-D shape retrieval based on geodesic signatures. These signatures are high dimensional statistical distributions computed by extractin...
Julien Rabin, Gabriel Peyré, Laurent D. Coh...
115
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BMCBI
2007
166views more  BMCBI 2007»
15 years 20 days ago
Data handling strategies for high throughput pyrosequencers
Background: New high throughput pyrosequencers such as the 454 Life Sciences GS 20 are capable of massively parallelizing DNA sequencing providing an unprecedented rate of output ...
Gabriele A. Trombetti, Raoul J. P. Bonnal, Ermanno...
111
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JMLR
2010
105views more  JMLR 2010»
14 years 7 months ago
A highly efficient blocked Gibbs sampler reconstruction of multidimensional NMR spectra
Projection Reconstruction Nuclear Magnetic Resonance (PR-NMR) is a new technique to generate multi-dimensional NMR spectra, which have discrete features that are relatively sparse...
Ji Won Yoon, Simon P. Wilson, K. Hun Mok
ICDM
2006
IEEE
214views Data Mining» more  ICDM 2006»
15 years 6 months ago
Forecasting Skewed Biased Stochastic Ozone Days: Analyses and Solutions
Much work on skewed, stochastic, high dimensional, and biased datasets usually implicitly solve each problem separately. Recently however, we have been approached by Texas Commiss...
Kun Zhang, Wei Fan, Xiaojing Yuan, Ian Davidson, X...
ICDM
2003
IEEE
125views Data Mining» more  ICDM 2003»
15 years 6 months ago
Clustering Item Data Sets with Association-Taxonomy Similarity
We explore in this paper the efficient clustering of item data. Different from those of the traditional data, the features of item data are known to be of high dimensionality and...
Ching-Huang Yun, Kun-Ta Chuang, Ming-Syan Chen