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» Shrinkage estimation of high dimensional covariance matrices
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ECML
2006
Springer
15 years 1 months ago
Subspace Metric Ensembles for Semi-supervised Clustering of High Dimensional Data
A critical problem in clustering research is the definition of a proper metric to measure distances between points. Semi-supervised clustering uses the information provided by the ...
Bojun Yan, Carlotta Domeniconi
APVIS
2010
14 years 4 months ago
Visual analysis of high dimensional point clouds using topological landscapes
In this paper, we present a novel three-stage process to visualize the structure of point clouds in arbitrary dimensions. To get insight into the structure and complexity of a dat...
Patrick Oesterling, Christian Heine, Heike Jä...
78
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TSP
2008
90views more  TSP 2008»
14 years 9 months ago
Generalized Correlation Decomposition-Based Blind Channel Estimation in DS-CDMA Systems With Unknown Wide-Sense Stationary Noise
A new blind subspace-based channel estimation technique is proposed for direct-sequence code-division multiple access (DS-CDMA) systems operating in the presence of unknown wide-se...
Keyvan Zarifi, Alex B. Gershman
CORR
2007
Springer
144views Education» more  CORR 2007»
14 years 9 months ago
Distributing the Kalman Filter for Large-Scale Systems
This paper derives a near optimal distributed Kalman filter to estimate a large-scale random field monitored by a network of N sensors. The field is described by a sparsely con...
Usman A. Khan, José M. F. Moura
PAMI
2011
14 years 14 days ago
Higher-Dimensional Affine Registration and Vision Applications
—Affine registration has a long and venerable history in computer vision literature, and in particular, extensive work has been done for affine registration in IR2 and IR3 . This...
S. M. Nejhum Shahed, Yu-Tseh Chi, Jeffrey Ho, Ming...