Search Results for author:
Found 4 papers, 3 papers with code
"Filling the Blanks'': Identifying Micro-activities that Compose Complex Human Activities of Daily Living
Naturally, a deeper understanding of these micro-activities can help develop more sophisticated human activity recognition (HAR) models and add explainability to their inferred conclusions.
Accoustate: Auto-annotation of IMU-generated Activity Signatures under Smart Infrastructure
This paper exploits the acoustic signatures generated from human activities to label the wearables' IMU data at the edge, thus mitigating resource requirement and data privacy concerns.
LouvainNE: Hierarchical Louvain Method for High Quality and Scalable Network Embedding
Network embedding, that aims to learn low-dimensional vector representation of nodes such that the network structure is preserved, has gained significant research attention in recent years.
LouvainNE: Hierarchical Louvain Method for High Quality and Scalable Network Embedding.
Network embedding, that aims to learn low-dimensional vector representation of nodes such that the network structure is preserved, has gained significant research attention in recent years.
