Suchergebnisse - "Convolutional variational autoencoder (CVAE)"

A multimodal deep fusion graph framework to detect social distancing violations and FCGs in pandemic surveillance von Varghese, Elizabeth B., Thampi, Sabu M.

“… when there are illumination variation and occlusion among subjects by solely relying on video data from distributed cameras …”
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Towards Unsupervised Subject-Independent Speech-Based Relapse Detection in Patients with Psychosis using Variational Autoencoders von Garoufis, C., Zlatintsi, A., Filntisis, P. P., Efthymiou, N., Kalisperakis, E., Karantinos, T., Garyfalli, V., Lazaridi, M., Smyrnis, N., Maragos, P.

“… Motivated by this, in this work we propose a Convolutional Variational Autoencoder (CVAE), in order to detect and predict the appearance of relapses in patients with psychotic disorders, such as schizophrenia and bipolar disorder …”
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Machine Learning for Human Activity Recognition Using Non-Intrusive Sensors von Karayaneva, Yordanka Lazarova

“… The current studies lack a holistic evaluation of data derived from infrared (IR) sensors including multiple layouts, sensors positions, noise analysis, multi-subject activities, and model generalisation …”
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