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Unsupervised unmixing of hyperspectral imagery using the constrained positive matrix factorization   

Masalmah, Yahya M. (2007)
In hyperspectral imaging, hundreds of images are taken at narrow and contiguous spectral bands providing us with high spectral resolution spectral signatures that can be used to discriminate between objects. In many ...
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Positive matrix factorization method for improving EEG motor imagery classification 

Huertas-Ávila, Raúl A. (2017-05)
Brain Computer Interface (BCI) is a system that is designed to translate a subject’s thought into a signal that is interpreted by a device. A BCI provides a communication channel between the human brain and a computer, ...
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Spatially adaptive constrained non negative matrix factorization for hyperspectral unmixing 

Goenaga-Jiménez, Miguel A. (2014)
This dissertation proposes a spatially adaptive constrained Nonnegative Matrix Factorization (sacNMF) for unmixing of hyperspectral imagery. The image is decomposed into spectrally homogeneous regions using quadtree region ...

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AuthorGoenaga-Jiménez, Miguel A. (1)Huertas-Ávila, Raúl A. (1)Masalmah, Yahya M. (1)AdvisorHunt, Shawn D. (1)Manian, Vidya (1)Vélez-Reyes, Miguel (1)Keywords
Matrix factorization (3)
Electroencephalography (1)Hyperspectral imagery (1)Hyperspectral unmixing (1)... View MoreSubject HeadingBrain-computer interfaces (1)Electroencephalography (1)Support vector machines (1)Wavelets (Mathematics) (1)TypeDissertation (2)Thesis (1)Date2007 (1)2014 (1)2017 (1)Department
Department of Electrical and Computer Engineering (3)
ProgramComputing and Information Sciences and Engineering (2)Electrical Engineering (1)CollectionTheses & Dissertations (3)

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