Deep learning for objective quality assessment of 3D images

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Online Contrastive Divergence with Generative Replay: Experience Replay without Storing Data (2016, methodology): “…RBMs which have been used recently to estimate the similarity between data distributions in various domains (e.g., image quality assessment (Mocanu et al, 2014), Markov decision processes (Ammar et al, 2014)), could be used to perform anomaly detection directly on any wireless node if they…”
Unsupervised Machine Learning for Networking: Techniques, Applications and Research Challenges (2017, methodology): “In another study [237], deep learning is used to assess the QoE of 3D images that have yet to show good results compared with the other deterministic algorithms.”