27 search results - page 3 / 6 » Regular Inference for State Machines with Parameters |
290
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BICA
2010
14 years 8 months ago
2010
Deep-layer machine learning architectures continue to emerge as a promising biologically-inspired framework for achieving scalable perception in artificial agents. State inference ...
108
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ISOLA
2007
Springer
15 years 7 months ago
2007
Springer
The testing and formal verification of black box software components is a challenging domain. The problem is even harder when specifications of these components are not available...
109
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ICML
2009
IEEE
16 years 1 months ago
2009
IEEE
The Conditional Restricted Boltzmann Machine (CRBM) is a recently proposed model for time series that has a rich, distributed hidden state and permits simple, exact inference. We ...
ICCV
2009
IEEE
16 years 6 months ago
2009
IEEE
Based on scaling laws describing the statistical structure
of turbulent motion across scales, we propose a multiscale
and non-parametric regularizer for optic-flow estimation.
R...
135
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ICPR
2002
IEEE
15 years 6 months ago
2002
IEEE
Estimating mode (walking/running/standing) and phases of human locomotion is important for video understanding. We present a new ”tracking as recognition” approach. A hierarch...