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Mathematical methods in the applied sciences, 2020
Fractional order quaternionâvalued neural networks are a type of fractional order neural networks for which neuron state, synaptic connection strengths, and neuron activation functions are quaternion.
A. Pratap+5 more
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Fractional order quaternionâvalued neural networks are a type of fractional order neural networks for which neuron state, synaptic connection strengths, and neuron activation functions are quaternion.
A. Pratap+5 more
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Robust Sparse Representation in Quaternion Space
IEEE Transactions on Image Processing, 2021Sparse representation has achieved great success across various fields including signal processing, machine learning and computer vision. However, most existing sparse representation methods are confined to the real valued data.
Yulong Wang+3 more
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Robust quaternion matrix completion with applications to image inpainting
Numerical Linear Algebra with Applications, 2019In this paper, we study robust quaternion matrix completion and provide a rigorous analysis for provable estimation of quaternion matrix from a random subset of their corrupted entries.
Zhigang Jia, M. Ng, Guang-Jing Song
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Involutions of Complexified Quaternions and Split Quaternions
Advances in Applied Clifford Algebras, 2012An involution or anti-involution is a self-inverse linear mapping. Involutions and anti-involutions of real quaternions were studied by Ell and Sangwine [15]. In this paper we present involutions and antiinvolutions of biquaternions (complexified quaternions) and split quaternions.
Yayli, Yusuf, Bekar, MURAT
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Modeling Human Motion with Quaternion-Based Neural Networks
International Journal of Computer Vision, 2019Previous work on predicting or generating 3D human pose sequences regresses either joint rotations or joint positions. The former strategy is prone to error accumulation along the kinematic chain, as well as discontinuities when using Euler angles or ...
Dario Pavllo+3 more
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Quaternion Convolutional Neural Networks
European Conference on Computer Vision, 2018Neural networks in the real domain have been studied for a long time and achieved promising results in many vision tasks for recent years. However, the extensions of the neural network models in other number fields and their potential applications are ...
Xuanyu Zhu+3 more
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QuatNet: Quaternion-Based Head Pose Estimation With Multiregression Loss
IEEE transactions on multimedia, 2019Head pose estimation has attracted immense research interest recently, as its inherent information significantly improves the performance of face-related applications such as face alignment and face recognition.
Heng-Wei Hsu+4 more
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Eigenvalues of Quaternion Tensors with Applications to Color Video Processing
Journal of Scientific Computing, 2022Zhuo-Heng He+2 more
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Graphs and Combinatorics, 2005
Let m be an integer, m ? 2 and set n = 2 m . Let G be a non-cyclic group of order 2n admitting a cyclic subgroup of order n. We prove that G always admits a starter and so there exists a one---factorization [InlineMediaObject not available: see fulltext.] of K 2 n admitting G as an automorphism group acting sharply transitively on vertices.
BONISOLI, Arrigo, RINALDI, Gloria
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Let m be an integer, m ? 2 and set n = 2 m . Let G be a non-cyclic group of order 2n admitting a cyclic subgroup of order n. We prove that G always admits a starter and so there exists a one---factorization [InlineMediaObject not available: see fulltext.] of K 2 n admitting G as an automorphism group acting sharply transitively on vertices.
BONISOLI, Arrigo, RINALDI, Gloria
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The Mathematical Intelligencer, 1996
Mathematical Intelligencer ; 18 ; 3 ; 57 ...
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Mathematical Intelligencer ; 18 ; 3 ; 57 ...
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