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An Uncertainty Aided Framework for Learning based Liver $T_1ρ$ Mapping and Analysis
Approach: To address this need, we propose a parametric map refinement approach for learning-based $T_1\rho$ mapping and train the model in a probabilistic way to model the uncertainty.
Uncertainty-Aware Self-supervised Neural Network for Liver $T_{1ρ}$ Mapping with Relaxation Constraint
Epistemic uncertainty and aleatoric uncertainty are modelled for the $T_{1\rho}$ quantification network to provide a Bayesian confidence estimation of the $T_{1\rho}$ mapping.
Event-based Timestamp Image Encoding Network for Human Action Recognition and Anticipation
In addition, we propose a future timestamp image generator to generate futureaction information to aid the model to anticipate the human action when the action is not completed.
Event-based Action Recognition Using Timestamp Image Encoding Network
Event camera is an asynchronous, high frequency vision sensor with low power consumption, which is suitable for human action recognition task.
A Genetic Feature Selection Based Two-stream Neural Network for Anger Veracity Recognition
For example, acted anger can be expressed when stimuli is not genuinely angry with an aim to manipulate the observer.
