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MLDM
2007
Springer
15 years 3 months ago
Outlier Detection with Kernel Density Functions
Abstract. Outlier detection has recently become an important problem in many industrial and financial applications. In this paper, a novel unsupervised algorithm for outlier detec...
Longin Jan Latecki, Aleksandar Lazarevic, Dragolju...
ESANN
2000
14 years 11 months ago
Parametric approach to blind deconvolution of nonlinear channels
A parametric procedure for the blind inversion of nonlinear channels is proposed, based on a recent method of blind source separation in nonlinear mixtures. Experiments show that ...
Jordi Solé i Casals, Anisse Taleb, Christia...
MICCAI
2009
Springer
15 years 11 months ago
Automatic Correction of Intensity Nonuniformity from Sparseness of Gradient Distribution in Medical Images
We propose to use the sparseness property of the gradient probability distribution to estimate the intensity nonuniformity in medical images, resulting in two novel automatic metho...
Yuanjie Zheng, Murray Grossman, Suyash P. Awate,...
CSDA
2007
102views more  CSDA 2007»
14 years 9 months ago
On the robust detection of edges in time series filtering
Abstract: Abrupt shifts in the level of a time series represent important information and should be preserved in statistical signal extraction. We investigate rules for detecting l...
Roland Fried
INFORMATICALT
2002
136views more  INFORMATICALT 2002»
14 years 9 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