1787 search results - page 137 / 358 » Approximation Techniques for Spatial Data |
144
click to vote
NIPS
2001
15 years 6 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...
160
click to vote
VISSYM
2007
15 years 7 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...
135
click to vote
ISAAC
2007
Springer
15 years 11 months 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...
153
click to vote
ICONIP
2007
15 years 6 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...
128
click to vote
IDA
2009
Springer
15 years 11 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 ...