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Found 5 papers, 1 papers with code
Actor Conditioned Attention Maps for Video Action Detection
While observing complex events with multiple actors, humans do not assess each actor separately, but infer from the context.
Support Vector Machine Application for Multiphase Flow Pattern Prediction
In this paper a data analytical approach featuring support vector machines (SVM) is employed to train a predictive model over an experimentaldataset, which consists of the most relevant studies for two-phase flow pattern prediction.
Summarization of ICU Patient Motion from Multimodal Multiview Videos
There is a small number of clinical studies, which use manual analysis of sleep poses and motion recordings to support medical benefits of patient positioning and motion monitoring.
Deep Learning as a Tool to Predict Flow Patterns in Two-Phase Flow
In order to better model complex real-world data such as multiphase flow, one approach is to develop pattern recognition techniques and robust features that capture the relevant information.
Eye-CU: Sleep Pose Classification for Healthcare using Multimodal Multiview Data
This work addresses these issues by introducing a new method and a new system for robust automated classification of sleep poses in an Intensive Care Unit (ICU) environment.
