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ICAI
2004
13 years 10 months ago
A Comparison of Resampling Methods for Clustering Ensembles
-- Combination of multiple clusterings is an important task in the area of unsupervised learning. Inspired by the success of supervised bagging algorithms, we propose a resampling ...
Behrouz Minaei-Bidgoli, Alexander P. Topchy, Willi...
ICASSP
2009
IEEE
14 years 3 months ago
Two microphone based direction of arrival estimation for multiple speech sources using spectral properties of speech
A two microphone direction of arrival (DOA) estimation technique for multiple speech sources is developed which exploits speech speciļ¬c properties, namely sparsity in time-frequ...
Wenyi Zhang, Bhaskar D. Rao
COLT
2003
Springer
14 years 2 months ago
Learning from Uncertain Data
The application of statistical methods to natural language processing has been remarkably successful over the past two decades. But, to deal with recent problems arising in this ļ¬...
Mehryar Mohri
PAMI
2007
253views more  PAMI 2007»
13 years 8 months ago
Gaussian Mean-Shift Is an EM Algorithm
The mean-shift algorithm, based on ideas proposed by Fukunaga and Hostetler (1975), is a hill-climbing algorithm on the density deļ¬ned by a ļ¬nite mixture or a kernel density e...
Miguel Á. Carreira-Perpiñán
KDD
2005
ACM
107views Data Mining» more  KDD 2005»
14 years 2 months ago
Cross-relational clustering with user's guidance
Clustering is an essential data mining task with numerous applications. However, data in most real-life applications are high-dimensional in nature, and the related information of...
Xiaoxin Yin, Jiawei Han, Philip S. Yu