141 search results - page 1 / 29 » Grouping and dimensionality reduction by locally linear embe... |
NIPS
2001
13 years 6 months ago
2001
ICONIP
2004
13 years 6 months ago
2004
Algorithms for nonlinear dimensionality reduction (NLDR) find meaningful hidden low-dimensional structures in a high-dimensional space. Current algorithms for NLDR are Isomaps, Loc...
ICIC
2009
Springer
13 years 9 months ago
2009
Springer
Plant has plenty use in foodstuff, medicine and industry, and is also vitally important for environmental protection. So, it is important and urgent to recognize and classify plant...
IBPRIA
2003
Springer
13 years 10 months ago
2003
Springer
The dimensionality of the input data often far exceeds their intrinsic dimensionality. As a result, it may be difficult to recognize multidimensional data, especially if the number...
ICML
2005
IEEE
14 years 5 months ago
2005
IEEE
Many unsupervised algorithms for nonlinear dimensionality reduction, such as locally linear embedding (LLE) and Laplacian eigenmaps, are derived from the spectral decompositions o...