Demonstrating principal component aggregation for distributed spatial pattern recognition.
Yann-Aël Le BorgneAnn NowéKris SteenhautEtro LabGianluca BontempiPublished in: IPSN (2010)
Keyphrases
- principal components
- pattern recognition
- dimensionality reduction
- principal component analysis
- spatial aggregation
- distributed systems
- multivariate data
- hyperplane
- computer vision
- spatial information
- spatial and temporal
- signal processing
- spatial data
- machine learning
- neural network
- spatio temporal
- cooperative
- feature extraction
- principal component regression
- kernel space
- feature set
- image processing
- pattern classification
- high dimensional
- distributed environment
- covariance matrix
- decision trees
- correlation coefficient
- feature selection
- peer to peer
- image analysis
- sensor networks