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» Non-parametric Mixture Models for Clustering
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NIPS
2003
15 years 1 months ago
ICA-based Clustering of Genes from Microarray Expression Data
We propose an unsupervised methodology using independent component analysis (ICA) to cluster genes from DNA microarray data. Based on an ICA mixture model of genomic expression pa...
Su-In Lee, Serafim Batzoglou
KDD
2008
ACM
156views Data Mining» more  KDD 2008»
16 years 5 days ago
Unsupervised deduplication using cross-field dependencies
Recent work in deduplication has shown that collective deduplication of different attribute types can improve performance. But although these techniques cluster the attributes col...
Robert Hall, Charles A. Sutton, Andrew McCallum
87
Voted
ICASSP
2010
IEEE
14 years 12 months ago
Towards multi-speaker unsupervised speech pattern discovery
In this paper, we explore the use of a Gaussian posteriorgram based representation for unsupervised discovery of speech patterns. Compared with our previous work, the new approach...
Yaodong Zhang, James R. Glass
TSP
2010
14 years 6 months ago
A robust method to count and locate audio sources in a multichannel underdetermined mixture
We propose a method to count and estimate the mixing directions in an underdetermined multichannel mixture. The approach is based on the hypothesis that in the neighbourhood of som...
Simon Arberet, Rémi Gribonval, Fréd&...
ISBI
2006
IEEE
16 years 14 days ago
Statistical modeling and EM clustering of white matter fiber tracts
A statistical model of the fiber bundles is calculated as the average and standard deviation of a parametric representation of the fiber tracts, using the coefficients of the 3D q...
Mahnaz Maddah, W. Eric L. Grimson, Simon K. Warfie...