581 search results - page 14 / 117 » EM in High Dimensional Spaces |
111
click to vote
PAKDD
2005
ACM
15 years 3 months ago
2005
ACM
: While feature selection is very difficult for high dimensional, unstructured data such as face image, it may be much easier to do if the data can be faithfully transformed into l...
AAAI
2006
14 years 11 months ago
2006
Among various feature extraction algorithms, those based on genetic algorithms are promising owing to their potential parallelizability and possible applications in large scale an...
CIDM
2007
IEEE
15 years 4 months ago
2007
IEEE
Clustering large data sets with high dimensionality is a challenging data-mining task. This paper presents a framework to perform such a task efficiently. It is based on the notio...
113
click to vote
VISSYM
2003
14 years 11 months ago
2003
Traditional visualization techniques for multidimensional data sets, such as parallel coordinates, glyphs, and scatterplot matrices, do not scale well to high numbers of dimension...
SDM
2007
SIAM
14 years 11 months ago
2007
SIAM
In recent years, random projection has been used as a valuable tool for performing dimensionality reduction of high dimensional data. Starting with the seminal work of Johnson and...