41 search results - page 5 / 9 » Hierarchical Statistical Learning of Generic Parts of Object... |
CVPR
2001
IEEE
14 years 9 months ago
2001
IEEE
We present a two-step method to speed-up object detection systems in computer vision that use Support Vector Machines (SVMs) as classifiers. In a first step we perform feature red...
ECCV
2010
Springer
14 years 20 days ago
2010
Springer
In this work we propose a hierarchical approach for labeling semantic objects and regions in scenes. Our approach is reminiscent of early vision literature in that we use a decompo...
NIPS
1998
13 years 8 months ago
1998
Dyadic data refers to a domain with two nite sets of objects in which observations are made for dyads, i.e., pairs with one element from either set. This type of data arises natur...
CLOR
2006
13 years 11 months ago
2006
The chapter describes visual classification by a hierarchy of semantic fragments. In fragment-based classification, objects within a class are represented by common sub-structures ...
FLAIRS
2001
13 years 8 months ago
2001
Recently we have proposed an algorithm of constructing hierarchical neural network classifiers (HNNC), that is based on a modification of error back-propagation. This algorithm co...