https://deepai.org/publication/expectation-maximization-attention-networks-for-semantic-segmentation
Expectation-Maximization Attention Networks for Semantic Segmentation | DeepAI
Jul 31, 2019 - 07/31/19 - Self-attention mechanism has been widely used for various tasks. It is designed to compute the representation of each position by ...
expectation maximizationsemantic segmentationattentionnetworksdeepai
https://openreview.net/forum?id=GERI2kZ84V
DeepGEM: Generalized Expectation-Maximization for Blind Inversion | OpenReview
Typically, inversion algorithms assume that a forward model, which relates a source to its resulting measurements, is known and fixed. Using collected indirect...
expectation maximizationfor blindgeneralizedinversionopenreview
https://pmc.ncbi.nlm.nih.gov/articles/PMC6248260/
Ordered subset expectation maximization algorithm for positron emission tomographic image...
The aim of this study is to investigate the benefits of incorporating prior information in list mode, time-of-flight (TOF) positron emission tomography (PET)...
expectation maximizationpositron emissionorderedsubsetalgorithm
https://arxiv.org/abs/2601.21160v1
[2601.21160v1] A Federated Generalized Expectation-Maximization Algorithm for Mixture Models with...
Abstract page for arXiv paper 2601.21160v1: A Federated Generalized Expectation-Maximization Algorithm for Mixture Models with an Unknown Number of Components
expectation maximization