34 search results - page 2 / 7 » Hierarchical Image Probability (HIP) Models |
CVPR
2008
IEEE
14 years 7 months ago
2008
IEEE
In this paper we present a novel method for parsing aerial images with a hierarchical and contextual model learned in a statistical framework. We learn hierarchies at the scene an...
NIPS
2000
13 years 6 months ago
2000
The product of experts learning procedure [1] can discover a set of stochastic binary features that constitute a non-linear generative model of handwritten images of digits. The q...
ICASSP
2010
IEEE
13 years 5 months ago
2010
IEEE
Gaussian mixture models (GMMs) are a convenient and essential tool for the estimation of probability density functions. Although GMMs are used in many research domains from image ...
ICIP
2009
IEEE
14 years 6 months ago
2009
IEEE
This paper presents an algorithm for tree-based representation of single images and its applications to segmentation and filtering with depth. In a our recent work, we have addres...
IJON
2010
13 years 4 months ago
2010
We introduce a new causal hierarchical belief network for image segmentation. Contrary to classical tree structured (or pyramidal) models, the factor graph of the network contains...