462 search results - page 24 / 93 » Probabilistic Principal Component Analysis for Metabolomic D... |
IJCNN
2006
IEEE
15 years 5 months ago
2006
IEEE
— We introduce in this paper methods for finding mutually corresponding dependent components from two different but related data sets in an unsupervised (blind) manner. The basi...
118
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JMLR
2010
14 years 10 months ago
2010
A large number of learning algorithms, for example, spectral clustering, kernel Principal Components Analysis and many manifold methods are based on estimating eigenvalues and eig...
SDM
2009
SIAM
15 years 9 months ago
2009
SIAM
We introduce FuncICA, a new independent component analysis method for pattern discovery in inherently functional data, such as time series data. FuncICA can be considered an analo...
NIPS
2000
15 years 1 months ago
2000
A central issue in principal component analysis (PCA) is choosing the number of principal components to be retained. By interpreting PCA as density estimation, this paper shows ho...
119
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NIPS
2008
15 years 1 months ago
2008
Principal Components Analysis (PCA) has become established as one of the key tools for dimensionality reduction when dealing with real valued data. Approaches such as exponential ...