Results 221 to 230 of about 274,981 (281)

Inferring latent behavioral strategy from the representational geometry of prefrontal cortex activity. [PDF]

Nat Commun
Qian Y, Herikstad R, Libedinsky C.
europepmc   +1 more source

Vulnerability of short-term memory in a mouse model of Alzheimer's disease. [PDF]

Nat Commun
Li C, Chia XW, Xu G, Ang LF, Makino H.
europepmc   +1 more source

The low sidelobe level high-gain adaptive beamforming method for uniform subarrays. [PDF]

Sci Rep
Du Y, Cui W, Ba B, Su G, Zhang L.
europepmc   +1 more source

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Boosting random subspace method

Neural Networks, 2008
In 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, Ortiz-Boyer, Domingo   +1 more
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On the Deep Active-Subspace Method

SIAM/ASA Journal on Uncertainty Quantification, 2023
zbMATH 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, 2015
Subspace-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
openaire   +2 more sources