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ICASSP
2009
IEEE
15 years 11 months ago
Shrinkage estimation of high dimensional covariance matrices
We address covariance estimation under mean-squared loss in the Gaussian setting. Specifically, we consider shrinkage methods which are suitable for high dimensional problems wit...
Yilun Chen, Ami Wiesel, Alfred O. Hero
ICDM
2009
IEEE
132views Data Mining» more  ICDM 2009»
15 years 11 months ago
Bayesian Overlapping Subspace Clustering
Given a data matrix, the problem of finding dense/uniform sub-blocks in the matrix is becoming important in several applications. The problem is inherently combinatorial since th...
Qiang Fu, Arindam Banerjee
IEEECIT
2009
IEEE
15 years 11 months ago
Clustering of Software Systems Using New Hybrid Algorithms
—Software clustering is a method for increasing software system understanding and maintenance. Software designers, first use MDG graph to model the structure of software system. ...
Ali Safari Mamaghani, Mohammad Reza Meybodi
131
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IISWC
2009
IEEE
15 years 11 months ago
Logicalization of communication traces from parallel execution
—Communication traces are integral to performance modeling and analysis of parallel programs. However, execution on a large number of nodes results in a large trace volume that i...
Qiang Xu, Jaspal Subhlok, Rong Zheng, Sara Voss
INFOCOM
2009
IEEE
15 years 11 months ago
Sensor Network Localization Using Sensor Perturbation
—Sensor network localization is an instance of the NP-HARD graph realization problem. Thus, methods used in practice are not guaranteed to find the correct localization, even if...
Yuanchen Zhu, Steven J. Gortler, Dylan Thurston