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Smart Augmentation Learning an Optimal Data Augmentation Strategy
TLDR
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. Expand
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An End to End Deep Neural Network for Iris Segmentation in Unconstraint Scenarios
TLDR
An end to end Fully Convolutional Deep Neural Network (FCDNN) design is proposed to perform the iris segmentation task for lower-quality iris images. Expand
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Versatile Auxiliary Classifier with Generative Adversarial Network (VAC+GAN)
TLDR
In this work, a new framework is presented to train a deep conditional generator by placing a classifier in parallel with the discriminator and back propagate the classification error through the generator network. Expand
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Deep learning for facial expression recognition: A step closer to a smartphone that knows your moods
TLDR
By growing the capacity and processing power of the handheld devices nowadays, a wide range of capabilities can be implemented in these devices to make them more intelligent and user friendly. Expand
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Pushing the AI Envelope: Merging Deep Networks to Accelerate Edge Artificial Intelligence in Consumer Electronics Devices and Systems
TLDR
We have shown that our methodology can generalize the merged network beyond a trivial combination of parent networks and achieve a significant reduction in size and computational scale for the merged networks. Expand
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Finger vein biometric: Smartphone footprint prototype with vein map extraction using computational imaging techniques
TLDR
A new vein structure based biometric approach is introduced in this paper. Expand
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Deep Learning for Consumer Devices and Services: Pushing the limits for machine learning, artificial intelligence, and computer vision.
TLDR
We review the current state of deep learning, explain what it is, why it has managed to improve on the long-standing techniques of conventional neural networks, and, most importantly, how you can get started with adopting deep learning into your own research activities to solve both new and old problems and build better, smarter consumer devices and services. Expand
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Eye Gaze for Consumer Electronics: Controlling and commanding intelligent systems.
TLDR
We discuss some existing applications that use human eye gaze as a vital cue for various consumer platforms. Expand
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Deep Neural Network and Data Augmentation Methodology for off-axis iris segmentation in wearable headsets
TLDR
A data augmentation methodology is presented and applied to generate a large dataset of off-axis iris regions and train a low-complexity deep neural network. Expand
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