56 search results - page 2 / 12 » Weakly Supervised Learning of Part-Based Spatial Models for ... |
CORR
2011
Springer
12 years 8 months ago
2011
Springer
Abstract. We propose an extension of the Restricted Boltzmann Machine (RBM) that allows the joint shape and appearance of foreground objects in cluttered images to be modeled indep...
CVPR
2007
IEEE
14 years 6 months ago
2007
IEEE
This paper presents a method of learning and recognizing generic object categories using part-based spatial models. The models are multiscale, with a scene component that specifie...
ECCV
2010
Springer
13 years 9 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 ...
PRL
2011
12 years 11 months ago
2011
: This paper addresses the inference of probabilistic classification models using weakly supervised learning. The main contribution of this work is the development of learning meth...
ICASSP
2010
IEEE
13 years 4 months ago
2010
IEEE
This paper addresses the training of classification trees for weakly labelled data. We call ”weakly labelled data”, a training set such as the prior labelling information pro...