When deploying artificial agents in real-world environments where they
i...
Camera sensors are increasingly being combined with machine learning to
...
Over 60,000 songs are released on Spotify every day, and the competition...
Deploying machine learning applications on edge devices can bring clear
...
Although deep neural networks are typically computationally expensive to...
Crowd management relies on inspection of surveillance video either by
op...
The widespread deployment of surveillance cameras for facial recognition...
Automating the analysis of surveillance video footage is of great intere...
In this work we explore the generalization characteristics of unsupervis...
Deep neural networks require large amounts of resources which makes them...
Deep residual networks (ResNets) made a recent breakthrough in deep lear...
Previous work has shown that it is possible to train deep neural network...
Reinforcement learning is a proven technique for an agent to learn a tas...
In this paper we propose a technique which avoids the evaluation of cert...
We present four training and prediction schedules from the same
characte...