200 search results - page 21 / 40 » A Nonlinear Predictive State Representation |
CVPR
1999
IEEE
14 years 9 months ago
1999
IEEE
A spatio-temporal representation for complex optical flow events is developed that generalizes traditional parameterized motion models (e.g. affine). These generative spatio-tempo...
ML
2002
ACM
13 years 7 months ago
2002
ACM
A widely acknowledged drawback of many statistical modelling techniques, commonly used in machine learning, is that the resulting model is extremely difficult to interpret. A numb...
INTETAIN
2005
Springer
14 years 1 months ago
2005
Springer
In this paper we investigate the role of user emotions in human-machine goal-oriented conversations. There has been a growing interest in predicting emotions from acted and non-act...
EVOW
2007
Springer
14 years 1 months ago
2007
Springer
The effective reverse engineering of biochemical networks is one of the great challenges of systems biology. The contribution of this paper is two-fold: 1) We introduce a new meth...
IJCNN
2007
IEEE
14 years 1 months ago
2007
IEEE
— A single biological neuron is able to perform complex computations that are highly nonlinear in nature, adaptive, and superior to the perceptron model. A neuron is essentially ...