Results 161 to 170 of about 27,115 (309)
Local spectral approximation of unbounded operators: non-asymptotic and unified error quantification for subspace methods [PDF]
Timothy Stroschein
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ABSTRACT This paper develops a framework for designing output feedback controllers for constrained linear parameter‐varying systems that experience persistent disturbances. We specifically propose an incremental parameter‐varying output feedback control law to address control rate constraints, as well as state and control amplitude constraints.
Jackson G. Ernesto +2 more
wiley +1 more source
Improving Conformational Ensembles of Folded Proteins in Go̅Martini. [PDF]
Kalutskii M +3 more
europepmc +1 more source
Adaptive weighted multi-view subspace clustering method for recognizing urban functions from multi-source social sensing data [PDF]
Qiliang Liu +3 more
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Abstract This paper presents a numerical and experimental study aimed at the modeling and dynamic characterization of the reinforced concrete structure of the Palazzetto dello Sport in Rome, designed and by Pier Luigi Nervi with Annibale Vitellozzi, and built by Nervi & Bartoli contractors in 1956‐57.
Jacopo Ciambella +2 more
wiley +1 more source
Harmonic Balance Method for Large-Scale Models with Krylov Subspace Recycling.
Robert J. Kuether, Andrew Steyer
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Enhancing generalized spectral clustering with embedding Laplacian graph regularization
Abstract An enhanced generalised spectral clustering framework that addresses the limitations of existing methods by incorporating the Laplacian graph and group effect into a regularisation term is presented. By doing so, the framework significantly enhances discrimination power and proves highly effective in handling noisy data.
Hengmin Zhang +5 more
wiley +1 more source
Boosted unsupervised feature selection for tumor gene expression profiles
Abstract In an unsupervised scenario, it is challenging but essential to eliminate noise and redundant features for tumour gene expression profiles. However, the current unsupervised feature selection methods treat all samples equally, which tend to learn discriminative features from simple samples.
Yifan Shi +5 more
wiley +1 more source

