921 search results - page 62 / 185 » Kernel Principal Component Analysis |
120
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KDD
2005
ACM
16 years 2 months ago
2005
ACM
Development of advanced anomaly detection and failure diagnosis technologies for spacecraft is a quite significant issue in the space industry, because the space environment is ha...
121
Voted
ICANN
2007
Springer
15 years 6 months ago
2007
Springer
In this paper, we discuss fuzzy classifiers based on Kernel Discriminant Analysis (KDA) for two-class problems. In our method, first we employ KDA to the given training data and ca...
104
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ICPR
2004
IEEE
16 years 3 months ago
2004
IEEE
Mika et al. [3] introduce a non-linear formulation of Fisher's linear discriminant, based the now familiar "kernel trick", demonstrating state-of-the-art performanc...
132
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NIPS
1997
15 years 3 months ago
1997
I present an expectation-maximization (EM) algorithm for principal component analysis (PCA). The algorithm allows a few eigenvectors and eigenvalues to be extracted from large col...
115
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PAMI
2007
15 years 2 months ago
2007
The mean-shift algorithm, based on ideas proposed by Fukunaga and Hostetler (1975), is a hill-climbing algorithm on the density defined by a finite mixture or a kernel density e...