Results 21 to 30 of about 376,317 (337)
Learning Sparse Low-Precision Neural Networks With Learnable Regularization
IEEE Access, 2020 We consider learning deep neural networks (DNNs) that consist of low-precision weights and activations for efficient inference of fixed-point operations.
Yoojin Choi +2 more
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Zariski quantization as second quantization [PDF]
Physical Review D, 2012 18 pages, 2 ...
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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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Quantized passive filtering for switched delayed neural networks
Nonlinear Analysis, 2021 The issue of quantized passive filtering for switched delayed neural networks with noise interference is studied in this paper. Both arbitrary and semi-Markov switching rules are taken into account.
Youmei Zhou +3 more
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Natural and Projectively Invariant Quantizations on Supermanifolds [PDF]
, 2011 The existence of a natural and projectively invariant quantization in the sense of P. Lecomte [Progr. Theoret. Phys. Suppl. (2001), no. 144, 125-132] was proved by M. Bordemann [math.DG/0208171], using the framework of Thomas-Whitehead connections.
Leuther, Thomas, Radoux, Fabian
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IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019 This paper studies the compact coding approach to approximate nearest neighbor search. We introduce a composite quantization framework. It uses the composition of several ($M$) elements, each of which is selected from a different dictionary, to accurately approximate a $D$-dimensional vector, thus yielding accurate search, and represents the data ...
Jingdong Wang, Ting Zhang
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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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Dirac versus reduced quantization and operator ordering [PDF]
, 1996 We show an equivalence between Dirac quantization and the reduced phase space quantization. The equivalence of the both quantization methods determines the operator ordering of the Hamiltonian.
Shimizu, Katsutaro
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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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