280 search results - page 49 / 56 » On matrices with the Edmonds-Johnson property |
KDD
2009
ACM
14 years 8 months ago
2009
ACM
There is a wide variety of data mining methods available, and it is generally useful in exploratory data analysis to use many different methods for the same dataset. This, however...
KDD
2002
ACM
14 years 8 months ago
2002
ACM
Covariance and correlation estimates have important applications in data mining. In the presence of outliers, classical estimates of covariance and correlation matrices are not re...
SODA
2010
ACM
14 years 5 months ago
2010
ACM
Correlation clustering is a type of clustering that uses a basic form of input data: For every pair of data items, the input specifies whether they are similar (belonging to the s...
IMC
2009
ACM
14 years 2 months ago
2009
ACM
Triangle inequality violations (TIVs) are important for latency sensitive distributed applications. On one hand, they can expose opportunities to improve network routing by findi...
SACI
2007
IEEE
14 years 1 months ago
2007
IEEE
: Linear Parameter Varying(LPV) systems appear in a form of LTI state space representations where the elements of the A(ρ), B(ρ), C(ρ) matrices can depend on an unknown but at a...