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KDD
2002
ACM
113views Data Mining» more  KDD 2002»
14 years 10 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...
SIGSOFT
2004
ACM
14 years 3 months ago
Correlation exploitation in error ranking
Static program checking tools can find many serious bugs in software, but due to analysis limitations they also frequently emit false error reports. Such false positives can easi...
Ted Kremenek, Ken Ashcraft, Junfeng Yang, Dawson R...
SIGMOD
2005
ACM
150views Database» more  SIGMOD 2005»
14 years 10 months ago
BRAID: Stream Mining through Group Lag Correlations
The goal is to monitor multiple numerical streams, and determine which pairs are correlated with lags, as well as the value of each such lag. Lag correlations (and anticorrelation...
Yasushi Sakurai, Spiros Papadimitriou, Christos Fa...
ICML
2007
IEEE
14 years 11 months ago
Local dependent components
We introduce a mixture of probabilistic canonical correlation analyzers model for analyzing local correlations, or more generally mutual statistical dependencies, in cooccurring d...
Arto Klami, Samuel Kaski
FPL
2010
Springer
124views Hardware» more  FPL 2010»
13 years 8 months ago
Finding System-Level Information and Analyzing Its Correlation to FPGA Placement
One of the more popular placement algorithms for Field Programmable Gate Arrays (FPGAs) is called Simulated Annealing (SA). This algorithm tries to create a good quality placement ...
Farnaz Gharibian, Lesley Shannon, Peter Jamieson