1787 search results - page 137 / 358 » Approximation Techniques for Spatial Data |
163
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NIPS
2001
15 years 7 months ago
2001
Massive transaction data sets are recorded in a routine manner in telecommunications, retail commerce, and Web site management. In this paper we address the problem of inferring p...
183
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VISSYM
2007
15 years 8 months ago
2007
An imaging mass spectrometer is an analytical instrument that can determine the spatial distribution of chemical compounds on complex surfaces. The output of the device is a multi...
159
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ISAAC
2007
Springer
16 years 17 days ago
2007
Springer
In this paper, we consider the problem of partitioning a small data sample drawn from a mixture of k product distributions. We are interested in the case that individual features a...
177
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ICONIP
2007
15 years 7 months ago
2007
Abstract. Principal component analysis (PCA) is a widely used technique for data analysis and dimensionality reduction. Eigenvalue decomposition is the standard algorithm for solvi...
151
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IDA
2009
Springer
16 years 1 months ago
2009
Springer
Abstract. We present a probabilistic model for robust principal component analysis (PCA) in which the observation noise is modelled by Student-t distributions that are independent ...