56 search results - page 1 / 12 » Weakly Supervised Learning of Part-Based Spatial Models for ... |
ECCV
2006
Springer
14 years 6 months 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...
ICCV
2011
IEEE
12 years 4 months ago
2011
IEEE
Weakly supervised discovery of common visual structure in highly variable, cluttered images is a key problem in recognition. We address this problem using deformable part-based mo...
IJCV
2007
13 years 4 months ago
2007
We investigate a method for learning object categories in a weakly supervised manner. Given a set of images known to contain the target category from a similar viewpoint, learning...
CVPR
2001
IEEE
14 years 6 months ago
2001
IEEE
In this paper, we propose a novel method, called local nonnegative matrix factorization (LNMF), for learning spatially localized, parts-based subspace representation of visual pat...
ICCV
2009
IEEE
14 years 9 months ago
2009
IEEE
Visual categorization problems, such as object classification or action recognition,
are increasingly often approached using a detection strategy: a classifier function
is first ...