Robuta

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