115 search results - page 8 / 23 » Learning hierarchical task networks by observation |
UAI
2008
13 years 9 months ago
2008
Planning can often be simplified by decomposing the task into smaller tasks arranged hierarchically. Charlin et al. [4] recently showed that the hierarchy discovery problem can be...
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
We present a generalization of the nonnegative matrix factorization (NMF), where a multilayer generative network with nonnegative weights is used to approximate the observed nonne...
NIPS
2000
13 years 8 months ago
2000
Stimulus arrays are inevitably presented at different positions on the retina in visual tasks, even those that nominally require fixation. In particular, this applies to many perc...
AAAI
2008
13 years 9 months ago
2008
We describe HTN-MAKER, an algorithm for learning hierarchical planning knowledge in the form of decomposition methods for Hierarchical Task Networks (HTNs). HTNMAKER takes as inpu...
CVPR
2006
IEEE
14 years 9 months ago
2006
IEEE
Recently, the generative modeling approach to video segmentation has been gaining popularity in the computer vision community. For example, the flexible sprites framework has been...