Parameterized Colorings And Labellings Of Graphs In Topological Coding
, 2022 The coming quantum computation is forcing us to reexamine the cryptosystems people use. We are applying graph colorings of topological coding to modern information security and future cryptography against supercomputer and quantum computer attacks in the near future.
Bing Yao +5 more
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Parameterized hypercomplex convolutional network for accurate protein backbone torsion angle prediction [PDF]
Scientific ReportsPredicting the backbone torsion angles corresponding to each residue of a protein from its amino acid sequence alone is a challenging problem in computational biology.
Wei Yang, Shujia Wei, Lei Zhang
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On Hardness of Approximation of Parameterized Set Cover and Label Cover: Threshold Graphs from Error Correcting Codes [PDF]
, 2021 In the $(k,h)$-SetCover problem, we are given a collection $\mathcal{S}$ of sets over a universe $U$, and the goal is to distinguish between the case that $\mathcal{S}$ contains $k$ sets which cover $U$, from the case that at least $h$ sets in $\mathcal{S}$ are needed to cover $U$.
C. S. Karthik, Livni-Navon Inbal
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Code for stochastic parameterizations to generate ensembles in 1D or 3D MFC configurations (D3.3) [PDF]
, 2022 The scope of this document is provide the codes of stochastic processes developed as part of Task 3.1 in the SEAMLESS project. The codes are delivered to the SEAMLESS stakeholders in open-access repositories with public links provided in this document. These codes are used to generate ensembles with NEMO and HYCOM, which are the building blocks of all ...
P Brasseur +4 more
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Minimal Random Code Learning with Mean-KL Parameterization
, 2023 ICML Neural Compression Workshop ...
Jihao Andreas Lin +2 more
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On Parameterized Gallager's First Bounds for Binary Linear Codes over AWGN Channels
, 2012 In this paper, nested Gallager regions with a single parameter is introduced to exploit Gallager's first bounding technique (GFBT). We present a necessary and sufficient condition on the optimal parameter. We also present a sufficient condition (with a simple geometrical explanation) under which the optimal parameter does not depend on the signal-to ...
Xiao Ma, Jia Liu, Baoming Bai
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The Use of New Parameterizations for Gaseous Absorption in the CLIRAD-SW Solar Radiation Code for Models [PDF]
Journal of Atmospheric and Oceanic Technology, 2007 The new gaseous absorption parameterizations are incorporated in the CLIRAD-SW solar radiation code for models, openly distributed for the scientific community. In the new parameterizations, the magnitude of absorption coefficients in each homogeneous layer depends on both species concentrations in the layer and species amounts accumulated along the ...
T. A. Tarasova, B. A. Fomin
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Parameterizing Region Covariance: An Efficient Way To Apply Sparse Codes On Second Order Statistics
, 2016 Sparse representations have been successfully applied to signal processing, computer vision and machine learning. Currently there is a trend to learn sparse models directly on structure data, such as region covariance. However, such methods when combined with region covariance often require complex computation.
Xiyang Dai +3 more
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Rethinking Style Transfer: From Pixels to Parameterized Brushstrokes [PDF]
Computer Vision and Pattern Recognition, 2021 There have been many successful implementations of neural style transfer in recent years. In most of these works, the stylization process is confined to the pixel domain.
Dmytro Kotovenko +3 more
semanticscholar +1 more source
Embedded Code Generation With CVXPY [PDF]
IEEE Control Systems Letters, 2022 We introduce CVXPYgen, a tool for generating custom C code, suitable for embedded applications, that solves a parameterized class of convex optimization problems.
Maximilian Schaller +5 more
semanticscholar +1 more source