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Exploring Transfer Learning Focused on Physiological Signals for Emotion Recognition
Recent work in the area of automatic emotion recognition has leveraged a large amount of publicly available data with transfer learning techniques to detect emotion on low-resource data. Previous work demonstrated that the ...
Automated Cloud Removal on High-Altitude UAV Imagery Through Deep Learning on Synthetic Data
New theories and applications of deep learning have been discovered and implemented within the field of machine learning recently. The high degree of effectiveness of deep learning models span across many domains including ...
Reinforcement Learning For Collision Avoidance
(2015-09-23)
Autonomous travel poses challenges in machine learning navigation. Different approaches have been considered, such as reinforcement learning, dynamic programming methodologies, and other artificial intelligence assisted ...
Neural Via Points for Muscle Wrapping
Line-based musculoskeletal simulation is important in both computer graphics and biomechanics research. Software such as OpenSim can provide simulations of musculoskeletal dynamics and neural control where it would be ...