34 search results - page 3 / 7 » Hierarchical Image Probability (HIP) Models |
ICDAR
2007
IEEE
14 years 18 days ago
2007
IEEE
We address document image classification by visual appearance. An image is represented by a variable-length list of visually salient features. A hierarchical Bayesian network is ...
ICASSP
2010
IEEE
13 years 4 months ago
2010
IEEE
In many signal processing problems, it may be fruitful to represent the signal under study in a redundant linear decomposition called a frame. If a probabilistic approach is adopt...
PAMI
2002
13 years 6 months ago
2002
The product of experts learning procedure [1] can discover a set of stochastic binary features that constitute a nonlinear generative model of handwritten images of digits. The qua...
SIGIR
2003
ACM
13 years 11 months ago
2003
ACM
We consider the problem of modeling annotated data—data with multiple types where the instance of one type (such as a caption) serves as a description of the other type (such as...
CVPR
2008
IEEE
14 years 8 months ago
2008
IEEE
A new hierarchical Bayesian model is proposed for image segmentation based on Gaussian mixture models (GMM) with a prior enforcing spatial smoothness. According to this prior, the...