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  Future word contexts in neural network language models 

  Chen, X; Liu, X; Ragni, A; Wang, Y; Gales, MJF (IEEE, 2017)

  Recently, bidirectional recurrent network language models (bi-RNNLMs) have been shown to outperform standard, unidirectional, recurrent neural network language models (uni-RNNLMs) on a range of speech recognition tasks. ...
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  Predicting personal traits from facial images using convolutional neural networks augmented with facial landmark information 

  Lewenberg, Y; Bachrach, Y; Shankar, S; Criminisi, A (AAAI Press, 2016-07)

  We consider the task of predicting various traits of a person given an image of their face. We estimate both objective traits, such as gender, ethnicity and hair-color; as well as subjective traits, such as the emotion a ...
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  Control of aircraft in the terminal manoeuvring area using parallelised sequential Monte Carlo 

  Eele, A; Maciejowski, J; Chau, T; Luk, W (American Institute of Aeronautics and Astronautics (AIAA), 2013-08)

  This paper reports on the use of a parallelised Model Predictive Control, Sequential Monte Carlo algorithm for solving the problem of conflict resolution and aircraft trajectory control in air traffic management specifically ...
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  Field programmable gate array based predictive control system for spacecraft rendezvous in elliptical orbits 

  Hartley, EN; Maciejowski, JM (Wiley, 2015)

  A field programmable gate array (FPGA)-based model predictive controller (MPC) for two phases of spacecraft rendezvous is presented. Linear time varying prediction models are used to accommodate elliptical orbits, and a ...

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