112 search results - page 3 / 23 » Computationally Efficient Neural Field Dynamics |
CVPR
2005
IEEE
14 years 11 months ago
2005
IEEE
This paper presents a dynamic conditional random field (DCRF) model to integrate contextual constraints for object segmentation in image sequences. Spatial and temporal dependenci...
IJCNN
2008
IEEE
14 years 4 months ago
2008
IEEE
—Modeling of complex phenomena such as the mind presents tremendous computational complexity challenges. The neural modeling fields theory (NMF) addresses these challenges in a n...
ICDAR
2007
IEEE
14 years 4 months ago
2007
IEEE
The paper describes a lexicon driven approach for word recognition on handwritten documents using Conditional Random Fields(CRFs). CRFs are discriminative models and do not make a...
IWANN
1997
Springer
14 years 1 months ago
1997
Springer
: The path planning problem is relevant for all applications in which a mobil robot should autonomously navigate. Finding the shortest path in an environment that is only partialy ...
ACSC
2005
IEEE
14 years 3 months ago
2005
IEEE
The global dynamics of automata networks (such as neural networks) are a function of their topology and the choice of automata used. Evolutionary methods can be applied to the opt...