542 search results - page 64 / 109 » Unsupervised Learning with Permuted Data |
PRIB
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. Clustering is a widely used unsupervised data analysis technique in machine learning. However, a common requirement amongst many existing clustering methods is that all p...
MM
2005
ACM
14 years 1 months ago
2005
ACM
Tasks of information retrieval depend on a good distance function for measuring similarity between data instances. The most effective distance function must be formulated in a con...
HUC
2003
Springer
14 years 1 months ago
2003
Springer
Abstract. We present a method of learning a Bayesian model of a traveler moving through an urban environment. This technique is novel in that it simultaneously learns a unified mo...
ICPR
2004
IEEE
14 years 9 months ago
2004
IEEE
Model selection in unsupervised learning is a hard problem. In this paper a simple selection criterion for hyperparameters in one-class classifiers (OCCs) is proposed. It makes us...
UAI
2004
13 years 9 months ago
2004
We address the problem of unsupervised learning of complex articulated object models from 3D range data. We describe an algorithm whose input is a set of meshes corresponding to d...