State-space modeling based on principal component analysis and oxygenated-deoxygenated correlation to improve near-infrared spectroscopy signals.
Nguyen Duc ThangNguyen Huynh Minh TamTran Le GiangVo Nhut TuanLan Anh TrinhHoang-Hai TranVo Van ToiPublished in: SoICT (2013)
Keyphrases
- state space
- principal component analysis
- independent component analysis
- heuristic search
- dynamic programming
- face recognition
- reinforcement learning
- image processing
- principal components
- dimension reduction
- linear discriminate analysis
- machine learning
- continuous state spaces
- state variables
- quantitative analysis
- covariance matrix
- particle filter
- signal processing
- dimensionality reduction
- feature space