Implmentation of a covariance-based principal component analysis algorithm for hyperspectral imaging applications with multi-threading in both CPU and GPU.
Jian ZhangKim Hwa LimPublished in: IGARSS (2012)
Keyphrases
- detection algorithm
- gpu implementation
- principal component analysis
- multithreading
- search space
- parallel computing
- dynamic programming
- computational cost
- parallel implementation
- computational complexity
- highly efficient
- principal components
- k means
- fine grained
- target tracking
- memory efficient
- high dimensional
- multi threaded
- face recognition