1380 search results - page 104 / 276 » Learning Hierarchical Shape Models from Examples |
SGAI
2007
Springer
14 years 3 months ago
2007
Springer
In this paper we describe a novel technique which implements a spatiotemporal model as a set of sub-models based on first order logic. These sub-models model different, typicall...
ICCV
2009
IEEE
15 years 2 months ago
2009
IEEE
In this paper, we introduce a new approach for modeling
visual context. For this purpose, we consider the leaves of a
hierarchical segmentation tree as elementary units. Each
le...
NN
2008
Springer
13 years 9 months ago
2008
Springer
Learning data representations is a fundamental challenge in modeling neural processes and plays an important role in applications such as object recognition. In multi-stage Optima...
ICCV
2003
IEEE
14 years 11 months ago
2003
IEEE
We propose a two-class classification model for grouping. Human segmented natural images are used as positive examples. Negative examples of grouping are constructed by randomly m...
ICML
2007
IEEE
14 years 10 months ago
2007
IEEE
Supervised learning is difficult with high dimensional input spaces and very small training sets, but accurate classification may be possible if the data lie on a low-dimensional ...