272 search results - page 25 / 55 » Unsupervised Learning of Hierarchical Spatial Structures In ... |
PAMI
2006
13 years 10 months ago
2006
High dimensional structured data such as text and images is often poorly understood and misrepresented in statistical modeling. The standard histogram representation suffers from ...
IPMI
2007
Springer
14 years 4 months ago
2007
Springer
Abstract. We propose a novel algorithm called graph-shifts for performing image segmentation and labeling. This algorithm makes use of a dynamic hierarchical representation of the ...
BIOCOMP
2010
13 years 8 months ago
2010
- We present a novel hierarchical modular decision engine for lung nodule detection from CT images implemented by Artificial Neural Networks. The proposed Computer Aided Detection ...
CVPR
2012
IEEE
12 years 1 months ago
2012
IEEE
The choice of the over-complete dictionary that sparsely represents data is of prime importance for sparse codingbased image super-resolution. Sparse coding is a typical unsupervi...
CVPR
2010
IEEE
14 years 2 months ago
2010
IEEE
Lymph nodes have high clinical relevance but detection is challenging as they are hard to see due to low contrast and irregular shape. In this paper, a method for fully automatic ...