A multimodal Parkinson quantification by fusing eye and gait motion patterns, using covariance descriptors, from non-invasive computer vision
Sign Up to like & getrecommendations! Published in 2022 at "Computer methods and programs in biomedicine"
DOI: 10.1016/j.cmpb.2021.106607
Abstract: BACKGROUND AND OBJECTIVE Parkinson's disease (PD) is a motor neurodegenerative disease principally manifested by motor disabilities, such as postural instability, bradykinesia, tremor, and stiffness. In clinical practice, there exist several diagnostic rating scales that coarsely… read more here.
Keywords: eye; fusion; quantification; covariance descriptors ... See more keywords
Building Regional Covariance Descriptors for Vehicle Detection
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2017.2653772
Abstract: We study the question of building regional covariance descriptors (RCDs) for vehicle detection from high-resolution satellite images. A unified way is proposed to build RCD features by constant convolutional kernels in the forms of 2-D… read more here.
Keywords: building regional; covariance descriptors; vehicle detection; regional covariance ... See more keywords