Results 11 to 20 of about 724,853 (235)

An approximating pseudospectral method with state‐dependent coefficient optimization for nonlinear optimal control problem

IET Control Theory & Applications, 2023
The approximating sequence Riccati equation method is an efficient approach for solving the nonlinear optimal control problems, but its neglect of nonlinear dynamics and necessary optimality condition makes the control law difficult to satisfy the ...
Jianfeng Sun, Xuesong Chen
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Optimal CUR Matrix Decompositions [PDF]

, 2014
The CUR decomposition of an $m \times n$ matrix $A$ finds an $m \times c$ matrix $C$ with a subset of $c < n$ columns of $A,$ together with an $r \times n$ matrix $R$ with a subset of $r < m$ rows of $A,$ as well as a $c \times r$ low-rank matrix $U ...
Boutsidis C., Drineas P., Gu M., Guruswami V., Wang S.   +4 more
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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, Qiuqi Ruan, Ziyan Luo, Gaoyun An, Yi Jin   +4 more
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Multiresolution matrix factorisation as a compression method for smart meter data

The Journal of Engineering, 2020
The development of a smart grid electricity distribution network with advanced technology in smart metering will produce a massive amount of data. However, the limitation in communication network bandwidth makes it hard to transmit these data to the ...
Arfah Ahmad, Amitava Datta, Amitava Datta, Victor Sreeram, Yateendra Mishra, Yateendra Mishra   +5 more
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A new integrated framework for the identification of potential virus–drug associations

Frontiers in Microbiology, 2023
IntroductionWith the increasingly serious problem of antiviral drug resistance, drug repurposing offers a time-efficient and cost-effective way to find potential therapeutic agents for disease.
Jia Qu, Zihao Song, Xiaolong Cheng, Zhibin Jiang, Jie Zhou   +4 more
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Constructive quantum scaling of unitary matrices [PDF]

, 2016
In this work we present a method of decomposition of arbitrary unitary matrix $U\in\mathbf U(2^k)$ into a product of single-qubit negator and controlled-$\sqrt{\mbox{NOT}}$ gates.
Glos, Adam, Sadowski, Przemysław
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Guided Semi-Supervised Non-Negative Matrix Factorization

Algorithms, 2022
Classification and topic modeling are popular techniques in machine learning that extract information from large-scale datasets. By incorporating a priori information such as labels or important features, methods have been developed to perform ...
Pengyu Li, Christine Tseng, Yaxuan Zheng, Joyce A. Chew, Longxiu Huang, Benjamin Jarman, Deanna Needell   +6 more
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Non-unitary CMV-decomposition

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, Van Barel Marc, Vandebril Raf   +2 more
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Instantons and Merons in Matrix Models [PDF]

, 2006
Various branches of matrix model partition function can be represented as intertwined products of universal elementary constituents: Gaussian partition functions Z_G and Kontsevich tau-functions Z_K.
A. Alexandrov, A. Mironov, A. Morozov, Alexandrov, Alexandrov, Alexandrov, Alexandrov, Ambjorn, Ambjörn, Ambjörn, Ambjörn, Ambjørn, Belavin, Bessis, Bessis, Bonnet, Brézin, Callan, Chekhov, Chekhov, Chekhov, Chekhov, Chekhov, Dalley, Dalley, David, Di Francesco, Di Francesco, Dick, Dijkgraaf, Donagi, Eguchi, Eguchi, Eguchi, Eynard, Gerasimov, Gerasimov, Givental, Gorsky, Gorsky, Hori, Itoyama, Itoyama, Itoyama, Itoyama, Itzykson, Itzykson, Kharchev, Kharchev, Klemm, Knizhnik, Kontsevich, Krichever, Lafrance, Lebedev, Makeenko, Marshakov, Marshakov, Mehta, Mironov, Mironov, Mironov, Mironov, Morozov, Morozov, Morozov, Morozov, Schlichenmaier, Seiberg, Seiberg, Sen, Song, Witten, Zwiebach, ’t Hooft   +74 more
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Low-Rank Based Image Analyses for Pathological MR Image Segmentation and Recovery

Frontiers in Neuroscience, 2019
The presence of pathologies in magnetic resonance (MR) brain images causes challenges in various image analysis areas, such as registration, atlas construction and atlas-based segmentation.
Chuanlu Lin, Yi Wang, Tianfu Wang, Dong Ni   +3 more
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