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Outputs (16)

2D piecewise algebraic splines for implicit modeling (2009)
Journal Article
Li, Q., & Tian, J. (2009). 2D piecewise algebraic splines for implicit modeling. ACM Transactions on Graphics, 28(2), Article ARTN 13. https://doi.org/10.1145/1516522.1516524

2D splines are a powerful tool for shape modeling, either parametrically or implicitly. However, compared with regular grid-based tensor-product splines, most of the high-dimensional spline techniques based on nonregular 2D polygons, such as box spli... Read More about 2D piecewise algebraic splines for implicit modeling.

Robotic sound-source localisation architecture using cross-correlation and recurrent neural networks (2009)
Journal Article
Murray, J. C., Erwin, H. R., & Wermter, S. (2009). Robotic sound-source localisation architecture using cross-correlation and recurrent neural networks. Neural Networks, 22(2), 173-189. https://doi.org/10.1016/j.neunet.2009.01.013

In this paper we present a sound-source model for localising and tracking an acoustic source of interest along the azimuth plane in acoustically cluttered environments, for a mobile service robot. The model we present is a hybrid architecture using c... Read More about Robotic sound-source localisation architecture using cross-correlation and recurrent neural networks.

On the lifetime of wireless sensor networks (2009)
Journal Article
Dietrich, I., & Dressler, F. (2009). On the lifetime of wireless sensor networks. ACM Transactions on Sensor Networks, 5(1), Article ARTN 5. https://doi.org/10.1145/1464420.1464425

Network lifetime has become the key characteristic for evaluating sensor networks in an application-specific way. Especially the availability of nodes, the sensor coverage, and the connectivity have been included in discussions on network lifetime. E... Read More about On the lifetime of wireless sensor networks.

Quantum recurrent neural networks for filtering (2009)
Thesis
Ahamed, W. U. Quantum recurrent neural networks for filtering. (Thesis). University of Hull. https://hull-repository.worktribe.com/output/4209270

The essence of stochastic filtering is to compute the time-varying probability densityfunction (pdf) for the measurements of the observed system. In this thesis, a filter isdesigned based on the principles of quantum mechanics where the schrodinger w... Read More about Quantum recurrent neural networks for filtering.