Mathematical Foundations of Quantum Mechanics
Quantum mechanics was still in its infancy in 1932 when the young John von Neumann, who would go on to become one of the greatest mathematicians of the twentieth century, publis...
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Quantum mechanics was still in its infancy in 1932 when the young John von Neumann, who would go on to become one of the greatest mathematicians of the twentieth century, publis...
Realtime multi-person 2D pose estimation is a key component in enabling machines to have an understanding of people in images and videos. In this work, we present a realtime app...
Assessing the applicability of frameworks developed in one country to other countries is an important step in establishing the generalizability of consumer behavior theories. In...
We report temporal patterns of viral shedding in 94 patients with laboratory-confirmed COVID-19 and modeled COVID-19 infectiousness profiles from a separate sample of 77 infecto...
For the purposes of the present discussion, the term structure will be used in the following non-rigorous sense: A set of phonemes or a set of data is structured in respect to s...
Dynamics of human body skeletons convey significant information for human action recognition. Conventional approaches for modeling skeletons usually rely on hand-crafted parts o...
Commonly used evaluation measures including Recall, Precision, F-Measure and Rand Accuracy are biased and should not be used without clear understanding of the biases, and corre...
Peter Kennedy's book, which provides intuitive, narrative explanations for a wide range of topics covered in undergraduate and graduate econometrics courses, occupies a unique p...
This concise collection of the most important international law instruments is an essential resource for all students of international law. In addition to standard instruments s...
ADVERTISEMENT RETURN TO ISSUEPREVReviewNEXTGraphene-Like Two-Dimensional MaterialsMingsheng Xu*, Tao Liang, Minmin Shi, and Hongzheng ChenView Author Information State Key Labor...
Regional dropout strategies have been proposed to enhance performance of convolutional neural network classifiers. They have proved to be effective for guiding the model to atte...