28 citations · 56 across the 7 of their papers we have counts for
8 papers
Consistency Based Weakly Self-Supervised Learning for Human Activity Recognition with Wearables
Taoran Sheng, Manfred Huber
While the widely available embedded sensors in smartphones and other wearable devices make it easier to obtain data of human activities, recognizing different types of human activi…
Weakly Supervised Multi-Task Representation Learning for Human Activity Analysis Using Wearables
Taoran Sheng, Manfred Huber
Sensor data streams from wearable devices and smart environments are widely studied in areas like human activity recognition (HAR), person identification, or health monitoring. How…
Unsupervised Embedding Learning for Human Activity Recognition Using Wearable Sensor Data
Taoran Sheng, Manfred Huber
The embedded sensors in widely used smartphones and other wearable devices make the data of human activities more accessible. However, recognizing different human activities from t…
Siamese Networks for Weakly Supervised Human Activity Recognition
Taoran Sheng, Manfred Huber
Deep learning has been successfully applied to human activity recognition. However, training deep neural networks requires explicitly labeled data which is difficult to acquire. In…
ExtPerFC: An Efficient 2D and 3D Perception Hardware-Software Framework for Mobile Cobot
Tuan Dang, Khang Nguyen, Manfred Huber
As the reliability of the robot's perception correlates with the number of integrated sensing modalities to tackle uncertainty, a practical solution to manage these sensors from di…
Generalized Reinforcement Learning: Experience Particles, Action Operator, Reinforcement Field, Memory Association, and Decision Concepts
Po-Hsiang Chiu, Manfred Huber
Learning a control policy capable of adapting to time-varying and potentially evolving system dynamics has been a great challenge to the mainstream reinforcement learning (RL). Mai…
Increasing Fairness in Predictions Using Bias Parity Score Based Loss Function Regularization
Bhanu Jain, Manfred Huber, Ramez Elmasri
Increasing utilization of machine learning based decision support systems emphasizes the need for resulting predictions to be both accurate and fair to all stakeholders. In this wo…
Learning the Next Best View for 3D Point Clouds via Topological Features
Christopher Collander, William J. Beksi, Manfred Huber
In this paper, we introduce a reinforcement learning approach utilizing a novel topology-based information gain metric for directing the next best view of a noisy 3D sensor. The me…