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» A general algorithm for data dependence analysis
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SSDBM
2008
IEEE
114views Database» more  SSDBM 2008»
15 years 4 months ago
A General Framework for Increasing the Robustness of PCA-Based Correlation Clustering Algorithms
Abstract. Most correlation clustering algorithms rely on principal component analysis (PCA) as a correlation analysis tool. The correlation of each cluster is learned by applying P...
Hans-Peter Kriegel, Peer Kröger, Erich Schube...
VMCAI
2005
Springer
15 years 3 months ago
Generalized Typestate Checking for Data Structure Consistency
Abstract. We present an analysis to verify abstract set specifications for programs that use object field values to determine the membership of objects in abstract sets. In our a...
Patrick Lam, Viktor Kuncak, Martin C. Rinard
TNN
2008
105views more  TNN 2008»
14 years 9 months ago
Generalized Linear Discriminant Analysis: A Unified Framework and Efficient Model Selection
Abstract--High-dimensional data are common in many domains, and dimensionality reduction is the key to cope with the curse-of-dimensionality. Linear discriminant analysis (LDA) is ...
Shuiwang Ji, Jieping Ye
ICN
2007
Springer
15 years 4 months ago
CoLoRaDe: A Novel Algorithm for Controlling Long-Range Dependent Network Traffic
Long-range dependence characteristics have been observed in many natural or physical phenomena. In particular, a significant impact on data network performance has been shown in se...
Karim Mohammed Rezaul, Vic Grout
ICALP
2011
Springer
14 years 1 months ago
On Tree-Constrained Matchings and Generalizations
We consider the following Tree-Constrained Bipartite Matching problem: Given two rooted trees T1 = (V1, E1), T2 = (V2, E2) and a weight function w : V1 × V2 → R+, find a maximu...
Stefan Canzar, Khaled M. Elbassioni, Gunnar W. Kla...