235 search results - page 13 / 47 » Unsupervised Variational Bayesian Learning of Nonlinear Mode... |
ICMCS
2005
IEEE
14 years 2 months ago
2005
IEEE
In this paper, an HMM-embedded unsupervised learning approach is proposed to detect the music events by grouping the similar segments of the music signal. This approach can cluste...
PCI
2005
Springer
14 years 2 months ago
2005
Springer
A popular framework for the interpretation of image sequences is based on the layered model; see e.g. Wang and Adelson [8], Irani et al. [2]. Jojic and Frey [3] provide a generativ...
CVPR
2009
IEEE
14 years 12 days ago
2009
IEEE
Segmentation of document images remains a challenging vision problem. Although document images have a structured layout, capturing enough of it for segmentation can be difficult....
ICML
2009
IEEE
14 years 10 months ago
2009
IEEE
The promise of unsupervised learning methods lies in their potential to use vast amounts of unlabeled data to learn complex, highly nonlinear models with millions of free paramete...
JMLR
2010
13 years 4 months ago
2010
Principal component analysis (PCA) is a classical data analysis technique that finds linear transformations of data that retain the maximal amount of variance. We study a case whe...