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INFORMATICALT
2002
136views more  INFORMATICALT 2002»
14 years 11 months ago
Comparison of Poisson Mixture Models for Count Data Clusterization
Abstract. Five methods for count data clusterization based on Poisson mixture models are described. Two of them are parametric, the others are semi-parametric. The methods emlploy ...
Jurgis Susinskas, Marijus Radavicius
DICTA
2003
15 years 1 months ago
Maximum-Likelihood Circle-Parameter Estimation via Convolution
In this paper, we present an interpretation of the Maximum Likelihood Estimator (MLE) and the Delogne-K˚asa Estimator (DKE) for circle-parameter estimation via convolution. Under ...
Emanuel Zelniker, Vaughan Clarkson
ICML
2008
IEEE
16 years 12 days ago
Fast estimation of first-order clause coverage through randomization and maximum likelihood
In inductive logic programming, subsumption is a widely used coverage test. Unfortunately, testing -subsumption is NP-complete, which represents a crucial efficiency bottleneck fo...
Filip Zelezný, Ondrej Kuzelka
ICASSP
2011
IEEE
14 years 3 months ago
Convex relaxation approaches to maximum likelihood DOA estimation in ULA's and UCA's with unknown mutual coupling
Direction of arrival (DOA) estimation using sensor array superresolution techniques are known to suffer from array modeling errors including array element displacements, mutual co...
Kehu Yang, Shu Cai, Zhi-Quan Luo