Results 1 to 10 of about 126,754 (179)
Online Product Quantization [PDF]
IEEE Transactions on Knowledge and Data Engineering, 2018 Approximate nearest neighbor (ANN) search has achieved great success in many tasks. However, existing popular methods for ANN search, such as hashing and quantization methods, are designed for static databases only.
Tsang, Ivor W., Xu, Donna, Zhang, Ying
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Berezin-Toeplitz Quantization for Compact Kähler Manifolds. A Review of Results [PDF]
Advances in Mathematical Physics, 2010 This article is a review on Berezin-Toeplitz operator and Berezin-Toeplitz deformation quantization for compact quantizable Kähler manifolds. The basic objects, concepts, and results are given.
Martin Schlichenmaier
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Deformation Quantization by Moyal Star-Product and Stratonovich Chaos [PDF]
Symmetry, Integrability and Geometry: Methods and Applications, 2012 We make a deformation quantization by Moyal star-product on a space of functions endowed with the normalized Wick product and where Stratonovich chaos are well defined.
Rémi Léandre, Maurice Obame Nguema
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Crossed products, conditional expectations and constraint quantization
Nuclear Physics BRecent work has highlighted the importance of crossed products in correctly elucidating the operator algebraic approach to quantum field theories. In the gravitational context, the crossed product simultaneously promotes von Neumann algebras associated ...
Marc S. Klinger, Robert G. Leigh
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Robust Product Markovian Quantization [PDF]
SSRN Electronic Journal, 2020 Recursive marginal quantization (RMQ) allows the construction of optimal discrete grids for approximating solutions to stochastic differential equations in d-dimensions. Product Markovian quantization (PMQ) reduces this problem to d one-dimensional quantization problems by recursively constructing product quantizers, as opposed to a truly optimal ...
Rudd, Ralph +3 more
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Machines, 2022 In recent years, deep-learning schemes have been widely and successfully used to diagnose bearing faults. However, as operating conditions change, the distribution of new data may differ from that of previously learned data.
Junhui Zheng +4 more
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Quantization via Star Products [PDF]
Progress of Theoretical Physics, 2003 We study quantization via star products. We investigate a quantization scheme in which a quantum theory is described entirely in terms of the function space without reference to a Hilbert space, unlike the formulation employing the Wigner functions. The associative law plays an essential role in excluding the unwanted solutions to the stargen-value ...
Hori, Takayuki, Koikawa, Takao
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Non-Zero Grid for Accurate 2-Bit Additive Power-of-Two CNN Quantization
IEEE Access, 2023 Quantization is an effective technique to reduce the memory and computational complexity of CNNs. Recent advances utilize additive powers-of-two to perform non-uniform quantization, which resembles a normal distribution and shows better performance than ...
Young Min Kim +4 more
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Injective Tensor Products in Strict Deformation Quantization [PDF]
Mathematical Physics, Analysis and Geometry, 2021 16 pages -- accepted in Mathematical Physics, Analysis and ...
Murro S., van de Ven C. J. F.
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NSVQ: Noise Substitution in Vector Quantization for Machine Learning
IEEE Access, 2022 Machine learning algorithms have been shown to be highly effective in solving optimization problems in a wide range of applications. Such algorithms typically use gradient descent with backpropagation and the chain rule.
Mohammad Hassan Vali, Tom Backstrom
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