1380 search results - page 104 / 276 » Learning Hierarchical Shape Models from Examples |
109
Voted
SGAI
2007
Springer
15 years 8 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...
92
Voted
ICCV
2009
IEEE
16 years 7 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...
130
Voted
NN
2008
Springer
15 years 2 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...
111
Voted
ICCV
2003
IEEE
16 years 4 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...
142
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ICML
2007
IEEE
16 years 3 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 ...