297 citations · 338 across the 3 of their papers we have counts for
3 papers
stat.ML2017
An Interval-Based Bayesian Generative Model for Human Complex Activity Recognition
Li Liu, Yongzhong Yang, Lakshmi Narasimhan Govindarajan +4
Complex activity recognition is challenging due to the inherent uncertainty and diversity of performing a complex activity. Normally, each instance of a complex activity has its ow…
cs.CV2016★ 297 cited
Action2Activity: Recognizing Complex Activities from Sensor Data
Ye Liu, Liqiang Nie, Lei Han +2
As compared to simple actions, activities are much more complex, but semantically consistent with a human's real life. Techniques for action recognition from sensor generated data…
cs.CY2016★ 41 cited
Predicting Urban Water Quality with Ubiquitous Data
Ye Liu, Yuxuan Liang, Shuming Liu +2
Urban water quality is of great importance to our daily lives. Prediction of urban water quality help control water pollution and protect human health. However, predicting the urba…