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Node and edge control strategy identification via trap spaces in Boolean networks. [PDF]
BMC BioinformaticsCifuentes-Fontanals L +2 more
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High-Resolution Brain Metabolic Imaging at Ultrahigh Field Using Extended Spatiospectral Encoding and Subspace Modeling. [PDF]
IEEE Trans Biomed EngGuo R +14 more
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Missing Value Imputation Using Subspace Methods with Applications on Survey Data
, 2012 Tommi Vatanen
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Spatial Subspace Methods for Dynamic Magnetic Resonance Imaging Reconstruction
Alexander James Mertens
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Boosting random subspace method
Neural Networks, 2008In this paper we propose a boosting approach to random subspace method (RSM) to achieve an improved performance and avoid some of the major drawbacks of RSM. RSM is a successful method for classification. However, the random selection of inputs, its source of success, can also be a major problem.
García-Pedrajas, Nicolás +1 more
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On the Deep Active-Subspace Method
SIAM/ASA Journal on Uncertainty Quantification, 2023zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Difference Subspace and Its Generalization for Subspace-Based Methods
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015Subspace-based methods are known to provide a practical solution for image set-based object recognition. Based on the insight that local shape differences between objects offer a sensitive cue for recognition, this paper addresses the problem of extracting a subspace representing the difference components between class subspaces generated from each set
Kazuhiro Fukui, Atsuto Maki
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