Random sampling in collaborative and distributed mobile sensor networks utilizing compressive sensing for scalar field mapping.
Minh Tuan NguyenKeith A. TeaguePublished in: SoSE (2015)
Keyphrases
- random sampling
- compressive sensing
- mobile sensor networks
- random projections
- sensor networks
- scalar field
- active learning
- sample size
- sensor nodes
- signal processing
- sparse representation
- critical points
- wireless sensor networks
- vector field
- model selection
- image reconstruction
- image representation
- sliding window
- computer vision
- dimensionality reduction
- training set
- computational complexity
- pattern recognition
- multiscale
- decision trees