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AUTOMATICA
2004
84views more  AUTOMATICA 2004»
14 years 9 months ago
Box-Jenkins alike identification using nonparametric noise models
The identification of a SISO linear dynamic system in the presence of output noise disturbances is studied. It is shown that a nonparametric model for the disturbing output noise ...
Johan Schoukens, Rik Pintelon, Yves Rolain
KDD
2002
ACM
122views Data Mining» more  KDD 2002»
15 years 10 months ago
Hierarchical model-based clustering of large datasets through fractionation and refractionation
The goal of clustering is to identify distinct groups in a dataset. Compared to non-parametric clustering methods like complete linkage, hierarchical model-based clustering has th...
Jeremy Tantrum, Alejandro Murua, Werner Stuetzle
MICCAI
2005
Springer
15 years 10 months ago
MRI Tissue Classification with Neighborhood Statistics: A Nonparametric, Entropy-Minimizing Approach
We introduce a novel approach for magnetic resonance image (MRI) brain tissue classification by learning image neighborhood statistics from noisy input data using nonparametric den...
Tolga Tasdizen, Suyash P. Awate, Ross T. Whitaker,...
CIMAGING
2009
265views Hardware» more  CIMAGING 2009»
14 years 10 months ago
Multi-object segmentation using coupled nonparametric shape and relative pose priors
We present a new method for multi-object segmentation in a maximum a posteriori estimation framework. Our method is motivated by the observation that neighboring or coupling objec...
Mustafa Gökhan Uzunbas, Octavian Soldea, M&uu...
ICML
2010
IEEE
14 years 9 months ago
Nonparametric Information Theoretic Clustering Algorithm
In this paper we propose a novel clustering algorithm based on maximizing the mutual information between data points and clusters. Unlike previous methods, we neither assume the d...
Lev Faivishevsky, Jacob Goldberger