734 search results - page 68 / 147 » A New Indexing Method for High Dimensional Dataset |
103
Voted
CVPR
2008
IEEE
16 years 2 months ago
2008
IEEE
We introduce a new image representation that encompasses both the general layout of groups of quantized local invariant descriptors as well as their relative frequency. A graph of...
103
Voted
SDM
2009
SIAM
15 years 10 months ago
2009
SIAM
In high dimensional data, the general performance of traditional clustering algorithms decreases. This is partly because the similarity criterion used by these algorithms becomes ...
107
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CVPR
2007
IEEE
15 years 7 months ago
2007
IEEE
Manifold learning methods are promising data analysis tools. However, if we locate a new test sample on the manifold, we have to find its embedding by making use of the learned e...
113
Voted
ICDM
2008
IEEE
15 years 7 months ago
2008
IEEE
We present a new visualization of the distance and cluster structure of high dimensional data. It is particularly well suited for analysis tasks of users unfamiliar with complex d...
243
Voted
ICDE
1999
IEEE
16 years 2 months ago
1999
IEEE
Time series stored as feature vectors can be indexed by multidimensional index trees like R-Trees for fast retrieval. Due to the dimensionality curse problem, transformations are ...