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JFR
2010
119views more  JFR 2010»
12 years 10 months ago
Unsupervised classification of dynamic obstacles in urban environments
This paper presents a solution to the problem of unsupervised classification of dynamic obstacles in urban environments. A track-based model is introduced for the integration of 2...
Roman Katz, Juan Nieto, Eduardo Mario Nebot
TIP
2002
179views more  TIP 2002»
13 years 3 months ago
Unsupervised image classification, segmentation, and enhancement using ICA mixture models
An unsupervised classification algorithm is derived by modeling observed data as a mixture of several mutually exclusive classes that are each described by linear combinations of i...
Te-Won Lee, Michael S. Lewicki
FSKD
2008
Springer
120views Fuzzy Logic» more  FSKD 2008»
13 years 4 months ago
An Unsupervised Gaussian Mixture Classification Mechanism Based on Statistical Learning Analysis
This paper presents a scheme for unsupervised classification with Gaussian mixture models by means of statistical learning analysis. A Bayesian Ying-Yang harmony learning system a...
Rui Nian, Guangrong Ji, Michel Verleysen
ECCV
2008
Springer
13 years 5 months ago
Unsupervised Classification and Part Localization by Consistency Amplification
We present a novel method for unsupervised classification, including the discovery of a new category and precise object and part localization. Given a set of unlabelled images, som...
Leonid Karlinsky, Michael Dinerstein, Dan Levi, Sh...
ICIP
2007
IEEE
13 years 10 months ago
Key-Places Detection and Clustering in Movies Using Latent Aspects
We describe a new method to find and cluster recurrent keyplaces in a movie. It consists of an unsupervised classification of shots that are taking place in the same physical loca...
Maguelonne Héritier, Samuel Foucher, Langis...
MICCAI
2008
Springer
14 years 4 months ago
Spectral Clustering as a Diagnostic Tool in Cross-Sectional MR Studies: An Application to Mild Dementia
Abstract. Structural imaging investigations commonly apply a segmentation step followed by the extraction of feature data that can be used to compare or discriminate groups. We pre...
Paul Aljabar, Daniel Rueckert, William R. Crum