Multimodal learning for human action recognition via bimodal/multimodal hybrid centroid canonical correlation analysis
NED Elmadany, Y He, L Guan - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
In this paper, we study the problem of human action recognition from multiple feature
modalities. We propose bimodal hybrid centroid canonical correlation analysis (BHCCCA) …
modalities. We propose bimodal hybrid centroid canonical correlation analysis (BHCCCA) …
Depth sequential information entropy maps and multi-label subspace learning for human action recognition
T Yang, Z Hou, J Liang, Y Gu, X Chao - IEEE Access, 2020 - ieeexplore.ieee.org
Human action recognition plays a key role in human-computer interaction in complex
environments. However, similar actions will lead to poor feature sequence extraction and …
environments. However, similar actions will lead to poor feature sequence extraction and …
Cross-view action recognition over heterogeneous feature spaces
In cross-view action recognition," what you saw" in one view is different from" what you
recognize" in another view. The data distribution even the feature space can change from …
recognize" in another view. The data distribution even the feature space can change from …
Efficient contact screening of compact NVMs for high reliabilty automotive applications
FP Leisenberger, G Schatzberger - 2015 IEEE 20th …, 2015 - ieeexplore.ieee.org
In modern automotive designs double contacts are mandatory to achieve high reliability
products and avoid field returns due to contact issues during the lifetime of the product …
products and avoid field returns due to contact issues during the lifetime of the product …