605 search results - page 71 / 121 » Dynamic inference of abstract types |
IDEAL
2005
Springer
14 years 2 months ago
2005
Springer
Abstract. Gaussian processes have been favourably compared to backpropagation neural networks as a tool for regression. We show that a recurrent neural network can implement exact ...
ICLP
2010
Springer
14 years 10 days ago
2010
Springer
Abstract. There is currently a large interest in probabilistic logical models. A popular algorithm for approximate probabilistic inference with such models is Gibbs sampling. From ...
SEC
2008
13 years 10 months ago
2008
Abstract Most organisations have recently converted their physical assets into digital forms. This underlines the needs to have different types of software products to manage such ...
CVPR
2010
IEEE
14 years 4 months ago
2010
IEEE
We propose a principled framework to model persistent motion in dynamic scenes. In contrast to previous efforts on object tracking and optical flow estimation that focus on local...
HUMO
2007
Springer
14 years 3 months ago
2007
Springer
We present a method to simultaneously estimate 3d body pose and action categories from monocular video sequences. Our approach learns a lowdimensional embedding of the pose manifol...