486 search results - page 28 / 98 » Learning bilinear models for two-factor problems in vision |
ECCV
2006
Springer
15 years 2 days ago
2006
Springer
Abstract. In this paper we investigate a new method of learning partbased models for visual object recognition, from training data that only provides information about class member...
CVPR
2008
IEEE
15 years 5 days 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...
CVPR
2006
IEEE
15 years 6 days ago
2006
IEEE
In this paper we present a generative model and learning procedure for unsupervised video clustering into scenes. The work addresses two important problems: realistic modeling of ...
ICCV
2007
IEEE
15 years 4 days ago
2007
IEEE
We present a Bayesian framework for learning higherorder transition models in video surveillance networks. Such higher-order models describe object movement between cameras in the...
ICCV
2005
IEEE
14 years 3 months ago
2005
IEEE
This study addresses the problem of unsupervised visual learning. It examines existing popular model order selection criteria before proposes two novel criteria for improving visu...