1704 search results - page 79 / 341 » Learning nonlinear dynamic models |
73
Voted
SCIA
2007
Springer
15 years 6 months ago
2007
Springer
In this work1 a combination of depth and silhouette information is presented to track the motion of a human from a single view. Depth data is acquired from a Photonic Mixer Device ...
93
Voted
APPINF
2003
15 years 2 months ago
2003
One of the primary advantages of artificial neural networks is their inherent ability to perform massively parallel, nonlinear signal processing. However, the asynchronous dynamics...
112
Voted
ICASSP
2011
IEEE
14 years 4 months ago
2011
IEEE
We present learning and inference algorithms for a versatile class of partially observed vector autoregressive (VAR) models for multivariate time-series data. VAR models can captu...
133
Voted
DAGM
2006
Springer
15 years 2 months ago
2006
Springer
Abstract. The paper presents an unsupervised method for partiallyblurred image restoration without influencing unblurred regions or objects. Maximum a posteriori estimation of para...
109
Voted
ICANN
2009
Springer
15 years 5 months ago
2009
Springer
Recurrent neural networks serve as black-box models for nonlinear dynamical systems identification and time series prediction. Training of recurrent networks typically minimizes t...