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Physical Review D, 2022 v2 matches the version accepted for publication on Phys. Rev. D. It includes additional clarifications and references. v3 includes some missing terms in a couple of equations.
Giulia Gubitosi +3 more
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Homotopy of rational maps and the quantization of Skyrmions [PDF]
, 2003 The Skyrme model is a classical field theory which models the strong interaction between atomic nuclei. It has to be quantized in order to compare it to nuclear physics.
Krusch, Steffen
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Robust 2-bit Quantization of Weights in Neural Network Modeled by Laplacian Distribution
Advances in Electrical and Computer Engineering, 2021 Significant efforts are constantly involved in finding manners to decrease the number of bits required for quantization of neural network parameters. Although in addition to compression, in neural networks, the application of quantizer models that are ...
PERIC, Z. +3 more
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Advances in Theoretical and Mathematical Physics, 2009 70 pp, v2: references ...
Gukov, Sergei, Witten, Edward
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Distortion Minimization Hashing
IEEE Access, 2017 Application of the hashing method to large-scale image retrieval has drawn much attention because of the high efficiency and favorable accuracy of the method.
Tongtong Yuan, Weihong Deng, Jiani Hu
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Applied Sciences, 2020 This paper is an extension of the existing works on the frequency-domain-based bit flipping control strategy for stabilizing the single-bit high-order interpolative sigma delta modulator. In particular, this paper proposes the implementation and performs
Huishan Zhai, Bingo Wing-Kuen Ling
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Minisuperspace Quantization of f(T, B) Cosmology
Universe, 2021 We discuss the quantization in the minisuperspace for the generalized fourth-order teleparallel cosmological theory known as fT, B. Specifically we focus on the case where the theory is linear on the torsion scalar, in that consideration we are able to ...
Andronikos Paliathanasis
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Journal of Physics: Condensed Matter, 2019 Abstract A dislocation, just like a phonon, is a type of atomic lattice displacement but subject to an extra topological constraint. However, unlike the phonon which has been quantized for decades, the dislocation has long remained classical.
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Computer Vision and Image Understanding, 2011 Vector quantization(VQ) is a lossy data compression technique from signal processing, which is restricted to feature vectors and therefore inapplicable for combinatorial structures. This contribution presents a theoretical foundation of graph quantization (GQ) that extends VQ to the domain of attributed graphs.
Brijnesh J. Jain, Klaus Obermayer
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Huber-energy measure quantization
, 2022 We describe a measure quantization procedure i.e., an algorithm which finds the best approximation of a target probability law (and more generally signed finite variation measure) by a sum of $Q$ Dirac masses ($Q$ being the quantization parameter).
Turinici, Gabriel
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