2865 search results - page 19 / 573 » Learning Models for Object Recognition |
ICCV
2005
IEEE
14 years 11 months ago
2005
IEEE
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
ICCV
2005
IEEE
14 years 2 months ago
2005
IEEE
This paper addresses one of the fundamental problems encountered in performance prediction for object recognition. In particular we address the problems related to estimation of s...
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...
NN
2002
Springer
13 years 8 months ago
2002
Springer
Recognition-by-components is one of the possible strategies proposed for object recognition by the brain, but little is known about the low-level mechanism by which the parts of o...
ICCV
2005
IEEE
14 years 11 months ago
2005
IEEE
Current approaches to object category recognition require datasets of training images to be manually prepared, with varying degrees of supervision. We present an approach that can...