AI RESEARCH
Easy Ensemble: Simple Deep Ensemble Learning for Sensor-Based Human Activity Recognition
arXiv CS.CV
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ArXi:2203.04153v2 Announce Type: replace Sensor-based human activity recognition (HAR) is a paramount technology in the Internet of Things services. HAR using representation learning, which automatically learns a feature representation from raw data, is the mainstream method because it is difficult to interpret relevant information from raw sensor data to design meaningful features. Ensemble learning is a robust approach to improve generalization performance; however, deep ensemble learning requires various procedures, such as data partitioning and.