694 search results - page 2 / 139 » On the Dimensions of Data Complexity through Synthetic Data ... |
TSMC
2010
13 years 5 months ago
2010
We study the problem of projecting high-dimensional tensor data on an unspecified Riemannian manifold onto some lower dimensional subspace1 without much distorting the pairwise geo...
KDD
2007
ACM
14 years 11 months ago
2007
ACM
The discovery of subsets with special properties from binary data has been one of the key themes in pattern discovery. Pattern classes such as frequent itemsets stress the co-occu...
ICPP
2000
IEEE
14 years 3 months ago
2000
IEEE
Clustering is a data mining problem which finds dense regions in a sparse multi-dimensional data set. The attribute values and ranges of these regions characterize the clusters. ...
COMAD
2008
14 years 6 days ago
2008
We propose an efficient sampling based outlier detection method for large high-dimensional data. Our method consists of two phases. In the first phase, we combine a "sampling...
BMCBI
2006
13 years 10 months ago
2006
Background: The development of algorithms to infer the structure of gene regulatory networks based on expression data is an important subject in bioinformatics research. Validatio...