34 search results - page 3 / 7 » Hierarchical Image Probability (HIP) Models |
ICDAR
2007
IEEE
15 years 3 months 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
14 years 8 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
14 years 9 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
15 years 2 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
15 years 11 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...