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Hierarchical secure key assignment scheme. [PDF]

PLoS One
Celiktas B, Çelikbilek I, Guzey S, Ozdemir E.   +3 more
europepmc   +1 more source

Detecting Beta-Amyloid Plaque via Low Rank Based Orthogonal Projection and Spatial-Spectrum Detector Using High-Resolution Quantitative Susceptibility Mapping for Preclinical Studies. [PDF]

IEEE Trans Biomed Eng
Chen J, Han X, Liu Z, Zhou C, Hu R, Tabassam S, Wyatt-Johnson SK, Oblak AL, Brutkiewicz RR, Lin M, Wang N.   +10 more
europepmc   +1 more source

Multivariate Gas Sensor E-Nose System with PARAFAC and Machine Learning Modeling for Quantifying and Classifying the Impact of Fishing Gears. [PDF]

Sensors (Basel)
Silva-Alvarado VL, Lloret J.
europepmc   +1 more source

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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   +4 more sources

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
openaire   +3 more sources