Results 21 to 30 of about 834,250 (307)
Orthogonal tucker decomposition using factor priors for 2D+3D facial expression recognition
IET Biometrics, 2021 In this article, an effective approach is proposed to recognise the 2D+3D facial expression automatically based on orthogonal Tucker decomposition using factor priors (OTDFPFER).
Yunfang Fu +4 more
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Contraction and decomposition matrices for vacuum diagrams [PDF]
, 2001 Tensor reduction of vacuum diagrams uses contraction and decomposition matrices. We present general recurrence relations for the calculation of those matrices and an explicit formula for the 3-loop decomposition matrix and its determinant.Comment: 10 ...
Knecht, K., Veschelde, H.
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RMPD: Method for Enhancing the Robustness of Recommendations With Attack Environments
IEEE Access, 2021 Personalized item recommendation has become a hot topic research among academic and industry community. But lots of purposeful fraudsters maybe perform different attacks on the recommender system to insert fake ratings, which could reduce the ...
Qi Ding +4 more
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Special Matrices, 2020 An important decomposition for unitary matrices, the CMV-decomposition, is extended to general non-unitary matrices. This relates to short recurrence relations constructing biorthogonal bases for a particular pair of extended Krylov subspaces.
Van Buggenhout Niel +2 more
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Noncommutative Spectral Decomposition with Quasideterminant [PDF]
, 2007 We develop a noncommutative analogue of the spectral decomposition with the quasideterminant defined by I. Gelfand and V. Retakh. In this theory, by introducing a noncommutative Lagrange interpolating polynomial and combining a noncommutative Cayley ...
Suzuki, Tatsuo
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Computation with No Memory, and Rearrangeable Multicast Networks [PDF]
Discrete Mathematics & Theoretical Computer Science, 2014 We investigate the computation of mappings from a set S^n to itself with "in situ programs", that is using no extra variables than the input, and performing modifications of one component at a time, hence using no extra memory.
Emeric Gioan +2 more
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Reliable data transmission in wireless sensor networks with data decomposition and ensemble recovery
Mathematical Biosciences and Engineering, 2019 Wireless sensor networks (WSNs) are usually used to helps many basic scientific works to gather and observe environmental data, whose completeness and accuracy are the key to ensuring the success of scientific works.
Fengyong Li, Gang Zhou, Jingsheng Lei
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A Gradient Descent Algorithm on the Grassman Manifold for Matrix Completion [PDF]
, 2009 We consider the problem of reconstructing a low-rank matrix from a small subset of its entries. In this paper, we describe the implementation of an efficient algorithm called OptSpace, based on singular value decomposition followed by local manifold ...
Keshavan, Raghunandan H., Oh, Sewoong
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Fast Superpixel Based Subspace Low Rank Learning Method for Hyperspectral Denoising
IEEE Access, 2018 Sequential data, such as video frames and event data, have been widely applied in the realworld. As a special kind of sequential data, hyperspectral images (HSIs) can be regarded as a sequence of 2-D images in the spectral dimension, which can be ...
Le Sun +5 more
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Weighted Sparseness-Based Anomaly Detection for Hyperspectral Imagery
Sensors, 2023 Anomaly detection of hyperspectral remote sensing data has recently become more attractive in hyperspectral image processing. The low-rank and sparse matrix decomposition-based anomaly detection algorithm (LRaSMD) exhibits poor detection performance in ...
Xing Lian +6 more
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