1018 search results - page 16 / 204 » Learning Probabilistic Models of Contours |
138
click to vote
AR
2011
14 years 4 months ago
2011
This paper presents a novel method for learning object manipulation such as rotating an object or placing one object on another. In this method, motions are learned using referenc...
109
click to vote
AAAI
2011
13 years 9 months ago
2011
Coarse-to-fine approaches use sequences of increasingly fine approximations to control the complexity of inference and learning. These techniques are often used in NLP and visio...
ECCV
2010
Springer
15 years 2 months ago
2010
Springer
Abstract. This paper presents an approach to object discovery in a given unlabeled image set, based on mining repetitive spatial configurations of image contours. Contours that si...
ECCV
2010
Springer
15 years 2 months ago
2010
Springer
Abstract. We describe an efficient approach to construct shape models composed of contour parts with partially-supervised learning. The proposed approach can easily transfer parts ...
CVPR
2008
IEEE
15 years 11 months ago
2008
IEEE
We present a new unsupervised method to learn unified probabilistic object models (POMs) which can be applied to classification, segmentation, and recognition. We formulate this a...