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KDD
2002
ACM
113views Data Mining» more  KDD 2002»
14 years 9 months ago
Scalable robust covariance and correlation estimates for data mining
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...
Fatemah A. Alqallaf, Kjell P. Konis, R. Douglas Ma...
SODA
2010
ACM
189views Algorithms» more  SODA 2010»
14 years 6 months ago
Correlation Clustering with Noisy Input
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...
Claire Mathieu, Warren Schudy
IMC
2009
ACM
14 years 3 months ago
Triangle inequality variations in the internet
Triangle inequality violations (TIVs) are important for latency sensitive distributed applications. On one hand, they can expose opportunities to improve network routing by findi...
Cristian Lumezanu, Randolph Baden, Neil Spring, Bo...
SACI
2007
IEEE
14 years 2 months ago
Geometric Theory and Control of Linear Parameter Varying Systems
: 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...
Jozsef Bokor
STACS
2005
Springer
14 years 2 months ago
Sampling Sub-problems of Heterogeneous Max-cut Problems and Approximation Algorithms
Abstract Abstract. Recent work in the analysis of randomized approximation algorithms for NP-hard optimization problems has involved approximating the solution to a problem by the ...
Petros Drineas, Ravi Kannan, Michael W. Mahoney