47 search results - page 6 / 10 » Bayesian Model-Averaging in Unsupervised Learning From Micro... |
104
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CVPR
2006
IEEE
15 years 11 months ago
2006
IEEE
We advocate the use of Gaussian Process Dynamical Models (GPDMs) for learning human pose and motion priors for 3D people tracking. A GPDM provides a lowdimensional embedding of hu...
107
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NLPRS
2001
Springer
15 years 2 months ago
2001
Springer
Recent research in automated learning has focused on algorithms that learn from a combination of tagged and untagged data. Such algorithms can be referred to as semi-supervised in...
JACM
2010
14 years 8 months ago
2010
clustering of documents according to sharing of topics at multiple levels of abstraction. Given a corpus of documents, a posterior inference algorithm finds an approximation to a ...
ICCV
2005
IEEE
15 years 3 months ago
2005
IEEE
This study addresses the problem of unsupervised visual learning. It examines existing popular model order selection criteria before proposes two novel criteria for improving visu...
SDM
2007
SIAM
14 years 11 months ago
2007
SIAM
Many clustering algorithms have been proposed to partition a set of static data points into groups. In this paper, we consider an evolutionary clustering problem where the input d...