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Smart augmentation learning an optimal data augmentation strategy
(Institute of Electrical and Electronics Engineers (IEEE), 2017-04-24)
A recurring problem faced when training neural networks is that there is typically not enough data to maximize the generalization capability of deep neural networks. There are many techniques to address this, including ...
Unconstrained palmprint as a smartphone biometric
(IEEE, 2017-11-13)
In this work the use of palmprints as an alternative biometric for smartphones is investigated and its feasibility is evaluated across multiple devices using unconstrained acquisition. A novel multi-device database that ...
Application of preconditioned alternating direction method of multipliers in depth from focal stack
(Society of Photo-optical Instrumentation Engineers (SPIE), 2018-04-06)
Postcapture refocusing effect in smartphone cameras is achievable using focal stacks. However, the accuracy of this effect is totally dependent on the combination of the depth layers in the stack. The accuracy of the ...
Convolutional neural network implementation for eye-gaze estimation on low-quality consumer imaging systems
(IEEE, 2019-02-15)
Accurate and efficient eye gaze estimation is important for emerging consumer electronic systems, such as driver monitoring systems and novel user interfaces. Such systems are required to operate reliably in difficult, ...
Blockchain in energy efficiency: Potential applications and benefits
(MDPI, 2019-08-28)
Blockchain technology is ready to disrupt nearly every industry and business model, and the energy sector is no exception. Energy businesses across the world have already started exploring the use of blockchain technology ...
IEEE POCO 2015 brings fun and education to Glasgow [Conference Reports]
(Institute of Electrical and Electronics Engineers, 2015-12-11)
[No abstract available]
Deep learning for consumer devices and services: Pushing the limits for machine learning, artificial intelligence, and computer vision (Errata for acknowledgments)
(IEEE, 2017-06-14)
Presents corrections for acknowledgments in the paper:
Lemley, J., Bazrafkan, S., & Corcoran, P. (2017). Deep Learning for Consumer Devices and Services: Pushing the limits for machine learning, artificial intelligence, ...
GazeVisual: A practical software tool and web application for performance evaluation of eye tracking systems
(IEEE, 2019-04-22)
The concept and functionalities of a software tool developed for in depth performance evaluation of eye gaze estimation systems is presented. The software, GazeVisual has capabilities for quantitative, statistical, and ...
Deep learning for consumer devices and services 2-AI gets embedded at the edge
(IEEE, 2019-09-02)
The recent explosive growth of deep learning is enabling a new generation of intelligent consumer devices. Specialized deep learning inference now provides data analysis capabilities that once required an active cloud ...
Latent space mapping for generation of object elements with corresponding data annotation
(Elsevier, 2018-10-25)
Deep neural generative models such as Variational Auto-Encoders (VAE) and Generative Adversarial Networks (GAN) give promising results in estimating the data distribution across a range of machine learning fields of ...