50 search results - page 7 / 10 » Restructuring Sparse High Dimensional Data for Effective Ret... |
JMLR
2010
14 years 4 months ago
2010
Principal component analysis (PCA) is a classical data analysis technique that finds linear transformations of data that retain the maximal amount of variance. We study a case whe...
CVPR
2010
IEEE
14 years 8 months ago
2010
IEEE
We examine the problem of large scale nearest neighbor search in high dimensional spaces and propose a new approach based on the close relationship between nearest neighbor search...
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ICMCS
2006
IEEE
15 years 3 months ago
2006
IEEE
Content-based Image retrieval has become an important part of information retrieval technology. Images can be viewed as high dimensional data and are usually represented by their ...
IDEAS
1999
IEEE
15 years 1 months ago
1999
IEEE
Decision support systems are important in leveraging information present in data warehouses in businesses like banking, insurance, retail and health-care among many others. The mu...
DATAMINE
2007
14 years 9 months ago
2007
The high dimensionality of massive data results in the discovery of a large number of association rules. The huge number of rules makes it difficult to interpret and react to all ...