Sensing Indoor Lighting Environments and Analysing Dimension Reduction for Identification.
Tushar RouthNurani SaodaMd Fazlay Rabbi Masum BillahNabeel NasirBradford CampbellPublished in: EnvSys@MobiSys (2023)
Keyphrases
- dimension reduction
- principal component analysis
- feature extraction
- high dimensional problems
- low dimensional
- high dimensional
- random projections
- high dimensional data
- partial least squares
- manifold learning
- variable selection
- singular value decomposition
- linear discriminant analysis
- high dimensional data analysis
- high dimensionality
- unsupervised learning
- data mining and machine learning
- feature space
- discriminative information
- dimensionality reduction
- dimension reduction methods
- real world
- feature selection
- data mining
- lighting conditions
- input image
- nearest neighbor
- reinforcement learning
- machine learning
- database
- sparse metric learning