235 search results - page 7 / 47 » Unsupervised Variational Bayesian Learning of Nonlinear Mode... |
CVPR
2005
IEEE
16 years 1 months ago
2005
IEEE
We propose a novel approach to learn and recognize natural scene categories. Unlike previous work [9, 17], it does not require experts to annotate the training set. We represent t...
82
Voted
ECCV
2000
Springer
16 years 1 months ago
2000
Springer
In recent years several techniques have been proposed for modelling the low-dimensional manifolds, or `subspaces', of natural images. Examples include principal component anal...
84
Voted
ICPR
2004
IEEE
16 years 22 days ago
2004
IEEE
In this paper we use a variational Bayesian framework for color image segmentation. Each image is represented in the L*u*v color coordinate system before being segmented by the va...
CVPR
2007
IEEE
16 years 1 months ago
2007
IEEE
We propose a novel unsupervised learning framework for activity perception. To understand activities in complicated scenes from visual data, we propose a hierarchical Bayesian mod...
120
Voted
NIPS
2004
15 years 1 months ago
2004
Capturing dependencies in images in an unsupervised manner is important for many image processing applications. We propose a new method for capturing nonlinear dependencies in ima...