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ICDM
2005
IEEE
109views Data Mining» more  ICDM 2005»
13 years 10 months ago
Triple Jump Acceleration for the EM Algorithm
This paper presents the triple jump framework for accelerating the EM algorithm and other bound optimization methods. The idea is to extrapolate the third search point based on th...
Han-Shen Huang, Bou-Ho Yang, Chun-Nan Hsu
SCJAPAN
2000
136views more  SCJAPAN 2000»
13 years 4 months ago
Acceleration of the EM algorithm
The EM algorithm is widely used to estimate the parameters of many applications. It is simple but the convergence speed is slow. There is another algorithm called the scoring metho...
Shiro Ikeda
ICML
2008
IEEE
14 years 5 months ago
Estimating local optimums in EM algorithm over Gaussian mixture model
EM algorithm is a very popular iteration-based method to estimate the parameters of Gaussian Mixture Model from a large observation set. However, in most cases, EM algorithm is no...
Zhenjie Zhang, Bing Tian Dai, Anthony K. H. Tung
DATAMINE
2006
166views more  DATAMINE 2006»
13 years 4 months ago
Accelerated EM-based clustering of large data sets
Motivated by the poor performance (linear complexity) of the EM algorithm in clustering large data sets, and inspired by the successful accelerated versions of related algorithms l...
Jakob J. Verbeek, Jan Nunnink, Nikos A. Vlassis
PAMI
2007
253views more  PAMI 2007»
13 years 4 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 defined by a finite mixture or a kernel density e...
Miguel Á. Carreira-Perpiñán