Porting a PCA-based hyperspectral image dimensionality reduction algorithm for brain cancer detection on a manycore architecture.
Raquel LazcanoDaniel MadroñalRubén SalvadorKarol DesnosMaxime PelcatRaúl GuerraHimar FabeloSamuel OrtegaSebastián LópezGustavo Marrero CallicóEduardo Juárez MartínezCésar SanzPublished in: J. Syst. Archit. (2017)
Keyphrases
- cancer detection
- hyperspectral images
- hyperspectral
- hyperspectral imagery
- hyperspectral imaging
- remote sensing
- prostate cancer
- target detection
- high dimensional
- principal components
- hyperspectral data
- principal component analysis
- dimensionality reduction
- multispectral
- gene selection
- principle component analysis
- data sets
- neural network
- machine learning
- application of data mining
- learning algorithm
- massively parallel
- high quality
- image data