Results 41 to 50 of about 1,788,984 (247)
IEEE Access, 2022 This paper provides a subspace method for closed-loop identification, which clearly specifies the model order from noisy measurement data. The method can handle long I/O data of the target system to be noise-tolerant and determine the model order via ...
Ichiro Maruta, Toshiharu Sugie
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Journal for Peace and Nuclear DisarmamentThis article combines research strands on international norms, framing, and riskification to elaborate the framing methods used by the International Campaign to Abolish Nuclear Weapons (ICAN) to effect an anti-nuclear weapons norm around the Treaty for ...
Christian Harijanto
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Hyper-Laplacian Regularized Multi-View Subspace Clustering With a New Weighted Tensor Nuclear Norm
IEEE Access, 2021 In this paper, we present a hyper-Laplacian regularized method WHLR-MSC with a new weighted tensor nuclear norm for multi-view subspace clustering. Specifically, we firstly stack the subspace representation matrices of the different views into a tensor ...
Qingjiang Xiao +4 more
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N2SID: Nuclear Norm Subspace Identification
CoRR, 2015 The identification of multivariable state space models in innovation form is solved in a subspace identification framework using convex nuclear norm optimization. The convex optimization approach allows to include constraints on the unknown matrices in the data-equation characterizing subspace identification methods, such as the lower triangular block ...
Michel Verhaegen, Anders Hansson
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IEEE Access, 2021 The resolution related with the image quality of acoustic imaging using a microphone array is limited by the size and density of the array. However, non-synchronous measurements can exceed the constraints defined by measurements with a single fixed array.
Liang Yu +5 more
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Matrix completion by truncated nuclear norm regularization
, 2012 Estimating missing values in visual data is a challenging problem in computer vision, which can be considered as a low rank matrix approximation problem. Most of the recent studies use the nuclear norm as a convex relaxation of the rank operator. However,
Hu, Yao +13 more
core +1 more source
From mice to humans—divergent strategies for intestinal homeostasis and regeneration
FEBS Letters, EarlyView.Recent advances such as organoid genome editing, xenotransplantation, imaging, and whole‐genome sequencing have enabled direct studies of human intestinal stem cells (ISCs). These studies reveal species‐specific features, including slower ISC proliferation, distinct injury responses, slower somatic mutation accumulation in humans, and an inverse ...
Keiko Ishikawa +2 more
wiley +1 more source
A cross‐project defect prediction method based on multi‐adaptation and nuclear norm
IET Software, 2022 Cross‐project defect prediction (CPDP) is an important research direction in software defect prediction. Traditional CPDP methods based on hand‐crafted features ignore the semantic information in the source code.
Qingan Huang +6 more
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Large factor model estimation by nuclear norm plus $l_1$ norm penalization
J. Multivar. Anal., 2021 This paper provides a comprehensive estimation framework via nuclear norm plus $l_1$ norm penalization for high-dimensional approximate factor models with a sparse residual covariance. The underlying assumptions allow for non-pervasive latent eigenvalues and a prominent residual covariance pattern.
Farne, Matteo, Montanari, Angela
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Investigating transcription factor dynamics in health and disease using FRAP
FEBS Letters, EarlyView.FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj +3 more
wiley +1 more source