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148
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ISNN
2007
Springer
15 years 9 months ago
Two-Dimensional Bayesian Subspace Analysis for Face Recognition
Bayesian subspace analysis (BSA) has been successfully applied in data mining and pattern recognition. However, due to the use of probabilistic measure of similarity, it often need...
Daoqiang Zhang
158
Voted
SDM
2012
SIAM
233views Data Mining» more  SDM 2012»
13 years 6 months ago
On Finding Joint Subspace Boolean Matrix Factorizations
Finding latent factors of the data using matrix factorizations is a tried-and-tested approach in data mining. But finding shared factors over multiple matrices is more novel prob...
Pauli Miettinen
GLOBECOM
2009
IEEE
15 years 10 months ago
Interference Subspace Tracking for Network Interference Alignment in Cellular Systems
— In this paper, a practical solution to implement the distributed interference alignment (IA) algorithm of [1] in a cellular communication system is proposed. In the training pe...
Bo Niu, Alexander M. Haimovich
148
Voted
ECML
2006
Springer
15 years 7 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
143
Voted
SDM
2007
SIAM
107views Data Mining» more  SDM 2007»
15 years 5 months ago
On Demand Phenotype Ranking through Subspace Clustering
High throughput biotechnologies have enabled scientists to collect a large number of genetic and phenotypic attributes for a large collection of samples. Computational methods are...
Xiang Zhang, Wei Wang 0010, Jun Huan