Hyperspectral image classification using a parallel implementation of the linear SVM on a Massively Parallel Processor Array (MPPA) platform.
Daniel MadroñalRaquel LazcanoHimar FabeloSamuel OrtegaGustavo Marrero CallicóEduardo JuárezCésar SanzPublished in: DASIP (2016)
Keyphrases
- processor array
- massively parallel
- parallel implementation
- linear svm
- hyperspectral image classification
- parallel computers
- mesh connected
- logistic regression
- message passing interface
- parallel computing
- active learning
- text categorization
- fine grained
- high performance computing
- parallel architecture
- hyperspectral
- parallel computation
- parallel architectures
- hyperplane
- support vector
- support vector machine
- support vectors
- parallel implementations
- data sets
- data processing
- graphics processing units
- feature selection