JFR
2010
14 years 3 months ago
2010
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...
107
Voted
TIP
2002
14 years 8 months ago
2002
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...
FSKD
2008
Springer
14 years 9 months ago
2008
Springer
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...
79
Voted
ECCV
2008
Springer
14 years 10 months ago
2008
Springer
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...
ICIP
2007
IEEE
15 years 3 months ago
2007
IEEE
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...
MICCAI
2008
Springer
15 years 10 months ago
2008
Springer
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...