272 search results - page 8 / 55 » Unsupervised Learning of Hierarchical Spatial Structures In ... |
ECCV
2010
Springer
14 years 4 months ago
2010
Springer
In this work we propose a hierarchical approach for labeling semantic objects and regions in scenes. Our approach is reminiscent of early vision literature in that we use a decompo...
CVPR
2004
IEEE
15 years 24 days ago
2004
IEEE
Can we detect low dimensional structure in high dimensional data sets of images? In this paper, we propose an algorithm for unsupervised learning of image manifolds by semidefinit...
CVPR
2005
IEEE
15 years 24 days ago
2005
IEEE
We propose a novel approach to learn and recognize natural scene categories. Unlike previous work [9, 17], it does not require experts to annotate the training set. We represent t...
FLAIRS
2001
14 years 5 days ago
2001
Recently we have proposed an algorithm of constructing hierarchical neural network classifiers (HNNC), that is based on a modification of error back-propagation. This algorithm co...
NECO
2010
13 years 9 months ago
2010
To allow the hidden units of a restricted Boltzmann machine to model the transformation between two successive images, Memisevic and Hinton (2007) introduced three-way multiplicat...