Abstract We present a new supervised deep-learning approach to the problem of the extraction of smeared spectral densities from Leather Golf Bag Tag Euclidean lattice correlators.A distinctive feature of our method is a model-independent training strategy that we implement by parametrizing the training sets over a functional space spanned by Chebys
Self-supervised learning methods have received much attention in skeleton-based human action recognition.These methods rely on pretext tasks to utilize unlabeled data and learn an effective feature encoder.In this paper, a novel self-supervised learning method is proposed.First, we design a new pretext task called view enhanced jigsaw puzzle (VEJP)
Sengwee Toh,1 Robert Wellman,2 R Yates Coley,2 Casie Horgan,1 Jessica Sturtevant,1 Erick Moyneur,3 Cheri Janning,4 Roy Pardee,2 Karen J Coleman,5 David Arterburn,2 Kathleen McTigue,6 Jane Anau,2 Andrea J Cook2 On behalf of the PCORnet Bariatric Study Collaborative 1Department of Population Medicine, Harvard Cheater Medical School and Harvard Pilgri
Background: In 2020, the World Health Organization (WHO) published the 5th version of the soft tissue and bone tumor classification.Based on this novel classification system, we reviewed the current knowledge on all tumor entities with spinal manifestations, their biologic behavior, and most importantly the appropriate treatment options as well as