Speckle Reducing Non-local Variational Framework Based on Maximum Mean Discrepancy
Sign Up to like & getrecommendations! Published in 2021 at "Arabian Journal for Science and Engineering"
DOI: 10.1007/s13369-021-05355-7
Abstract: Speckle reduction is an inevitable preprocessing activity in many medical and satellite imaging applications. Particularly, ultrasonic data is prone to high-amplitude fluctuations leading to speckled appearance which hinders the image analysis phase. A non-local variational… read more here.
Keywords: local variational; variational framework; mean discrepancy; maximum mean ... See more keywords
M2D2: Maximum-Mean-Discrepancy Decoder for Temporal Localization of Epileptic Brain Activities
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2022.3208780
Abstract: Recent years have seen growing interest in leveraging deep learning models for monitoring epilepsy patients based on electroencephalographic (EEG) signals. However, these approaches often exhibit poor generalization when applied outside of the setting in which… read more here.
Keywords: temporal localization; mean discrepancy; localization; maximum mean ... See more keywords
Deep Semisupervised Zero-Shot Learning with Maximum Mean Discrepancy
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DOI: 10.1162/neco_a_01071
Abstract: Due to the difficulty of collecting labeled images for hundreds of thousands of visual categories, zero-shot learning, where unseen categories do not have any labeled images in training stage, has attracted more attention. In the… read more here.
Keywords: maximum mean; mean discrepancy; shot learning; zero shot ... See more keywords