Maximum Mean and Covariance Discrepancy for Unsupervised Domain Adaptation
Sign Up to like & getrecommendations! Published in 2019 at "Neural Processing Letters"
DOI: 10.1007/s11063-019-10090-0
Abstract: A fundamental research topic in domain adaptation is how best to evaluate the distribution discrepancy across domains. The maximum mean discrepancy (MMD) is one of the most commonly used statistical distances in this field. However,… read more here.
Keywords: adaptation; covariance discrepancy; maximum mean; domain adaptation ... See more keywords
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
Comparison of maximum and mean standardized uptake values of jaw pathologies with bone SPECT/CT: an especial focus on medication-related osteonecrosis of the jaw
Sign Up to like & getrecommendations! Published in 2022 at "Nuclear Medicine Communications"
DOI: 10.1097/mnm.0000000000001624
Abstract: Objectives To investigate the comparison of maximum and mean standardized uptake values (SUVs) of jaw pathologies with bone Single-photon emission computed tomography/computed tomography (SPECT/CT), and a special focus on medication-related osteonecrosis of the jaw (MRONJ).… read more here.
Keywords: comparison maximum; suvs; jaw; jaw pathologies ... 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
IFL-GAN: Improved Federated Learning Generative Adversarial Network With Maximum Mean Discrepancy Model Aggregation.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3167482
Abstract: The generative adversarial network (GAN) is usually built from the centralized, independent identically distributed (i.i.d.) training data to generate realistic-like instances. In real-world applications, however, the data may be distributed over multiple clients and hard… read more here.
Keywords: ifl gan; adversarial network; federated learning; generative adversarial ... See more keywords
Differences in Performance Assessments Conducted Indoors and Outdoors in Professional Cyclists.
Sign Up to like & getrecommendations! Published in 2022 at "International journal of sports physiology and performance"
DOI: 10.1123/ijspp.2021-0341
Abstract: PURPOSE The purpose of this study was to assess the relationship between typical performance tests among elite and professional cyclists when conducted indoors and outdoors. METHODS Fourteen male cyclists of either UCI (Union Cycliste Internationale)… read more here.
Keywords: professional cyclists; indoors outdoors; conducted indoors; power ... See more keywords
Deep Semisupervised Zero-Shot Learning with Maximum Mean Discrepancy
Sign Up to like & getrecommendations! Published in 2018 at "Neural Computation"
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
Agreement between maximum and mean handgrip strength measurements in cancer patients
Sign Up to like & getrecommendations! Published in 2022 at "PLoS ONE"
DOI: 10.1371/journal.pone.0270631
Abstract: Background and aim Handgrip strength (HGS) can be used to identify probable sarcopenia, by measuring maximum strength and/or through the average of three measurements. This study analyzed the agreement between maximum and mean HGS measurements… read more here.
Keywords: agreement; hgs; agreement maximum; maximum mean ... See more keywords