27 search results - page 3 / 6 » Regular Inference for State Machines with Parameters |
BICA
2010
12 years 12 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 ...
ISOLA
2007
Springer
13 years 11 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...
ICML
2009
IEEE
14 years 5 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
14 years 10 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...
ICPR
2002
IEEE
13 years 9 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...