Fast spin‐echo approach for accelerated B1 gradient–based MRI
Sign Up to like & getrecommendations! Published in 2023 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.29592
Abstract: To expand on the previously developed B1+$$ {\mathrm{B}}_1^{+} $$ ‐encoding technique, frequency‐modulated Rabi‐encoded echoes (FREE), to perform accelerated image acquisition by collecting multiple lines of k‐space in an echo train. read more here.
Keywords: spin echo; accelerated gradient; echo approach; approach accelerated ... See more keywords
Accelerated gradient sliding for structured convex optimization
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DOI: 10.1007/s10589-022-00365-z
Abstract: Our main goal in this paper is to show that one can skip gradient computations for gradient descent type methods applied to certain structured convex programming (CP) problems. To this end, we first present an… read more here.
Keywords: optimization; structured convex; accelerated gradient; gradient sliding ... See more keywords
Accelerated gradient boosting
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DOI: 10.1007/s10994-019-05787-1
Abstract: Gradient tree boosting is a prediction algorithm that sequentially produces a model in the form of linear combinations of decision trees, by solving an infinite-dimensional optimization problem. We combine gradient boosting and Nesterov’s accelerated descent… read more here.
Keywords: gradient boosting; accelerated gradient;
Rapid Transitions With Robust Accelerated Delayed-Self-Reinforcement for Consensus-Based Networks
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Control Systems Technology"
DOI: 10.1109/tcst.2020.3032853
Abstract: Rapid transitions are important for the quick response of consensus-based, multi-agent networks to external stimuli. While high-gain can increase response speed, potential instability tends to limit the maximum possible gain, and therefore, limits the maximum… read more here.
Keywords: consensus based; consensus; accelerated delayed; rapid transitions ... See more keywords