163 search results - page 9 / 33 » Learning linear dynamical systems without sequence informati... |
NC
1998
15 years 1 months ago
1998
We suggest a recurrent neural network (RNN) model with a recurrent part corresponding to iterative function systems (IFS) introduced by Barnsley 1] as a fractal image compression ...
INFORMATICALT
2002
14 years 11 months ago
2002
The problem of recursive estimation of a state of dynamic systems in the presence of time-varying outliers in observations to be processed has been considered. A learning phase use...
106
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KDD
2009
ACM
16 years 6 days ago
2009
ACM
Our dynamic graph-based relational mining approach has been developed to learn structural patterns in biological networks as they change over time. The analysis of dynamic network...
101
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ICASSP
2011
IEEE
14 years 3 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...
112
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ICCV
2003
IEEE
15 years 5 months ago
2003
IEEE
This paper introduces the concept of eigen-dynamics and proposes an eigen dynamics analysis (EDA) method to learn the dynamics of natural hand motion from labelled sets of motion ...