1224 search results - page 43 / 245 » On the Optimality of the Dimensionality Reduction Method |
147
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DAGM
2006
Springer
15 years 9 months ago
2006
Springer
Abstract. Isomap is a highly popular manifold learning and dimensionality reduction technique that effectively performs multidimensional scaling on estimates of geodesic distances....
177
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LATINCRYPT
2010
15 years 4 months ago
2010
We describe an FPGA accelerator for the Kannan–Fincke– Pohst enumeration algorithm (KFP) solving the Shortest Lattice Vector Problem (SVP). This is the first FPGA implementati...
191
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ICASSP
2010
IEEE
15 years 6 months ago
2010
IEEE
Random projection has been suggested as a means of dimensionality reduction, where the original data are projected onto a subspace using a random matrix. It represents a computati...
212
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CVPR
2008
IEEE
15 years 6 months ago
2008
IEEE
Learning a robust projection with a small number of training samples is still a challenging problem in face recognition, especially when the unseen faces have extreme variation in...
170
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ICML
2003
IEEE
16 years 7 months ago
2003
IEEE
We investigate how random projection can best be used for clustering high dimensional data. Random projection has been shown to have promising theoretical properties. In practice,...