Noncoherent Massive Random Access for Inhomogeneous Networks: From Message Passing to Deep Learning.
Jianhao HuangHan ZhangChuan HuangLian YangWei ZhangPublished in: IEEE J. Sel. Areas Commun. (2022)
Keyphrases
- message passing
- random access
- deep learning
- belief propagation
- distributed systems
- probabilistic inference
- machine learning
- unsupervised learning
- shared memory
- graphical models
- sum product algorithm
- weakly supervised
- mental models
- markov random field
- approximate inference
- graph cuts
- supervised learning
- object detection
- k means
- multiscale
- three dimensional
- computer vision