85 search results - page 10 / 17 » Stahel-Donoho estimation for high-dimensional data |
192
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JMLR
2012
13 years 8 months ago
2012
Often, high dimensional data lie close to a low-dimensional submanifold and it is of interest to understand the geometry of these submanifolds. The homology groups of a manifold a...
186
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ICONIP
2008
15 years 7 months ago
2008
Mass spectrometry (MS) is a key technique for the analysis and identification of proteins. A prediction of spectrum peak intensities from pre computed molecular features would pave...
176
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DAGM
2010
Springer
15 years 7 months ago
2010
Springer
Density modeling is notoriously difficult for high dimensional data. One approach to the problem is to search for a lower dimensional manifold which captures the main characteristi...
184
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GRC
2010
IEEE
15 years 7 months ago
2010
IEEE
Inference of latent variables from complicated data is one important problem in data mining. The high dimensionality and high complexity of real world data often make accurate infe...
147
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KDD
2003
ACM
16 years 6 months ago
2003
ACM
High dimensional directional data is becoming increasingly important in contemporary applications such as analysis of text and gene-expression data. A natural model for multivaria...