K-sparse approximation for traffic histogram dimensionality reduction.
Atef AbdelkefiYuming JiangXenofontas A. DimitropoulosPublished in: CNSM (2012)
Keyphrases
- sparse approximation
- dimensionality reduction
- linear combination
- sparse coding
- noise model
- gaussian process
- sparse representation
- high dimensional
- low dimensional
- feature extraction
- convex relaxation
- principal component analysis
- unsupervised learning
- high dimensional data
- feature selection
- feature space
- pattern recognition
- data points
- image classification
- small number
- image restoration
- image features
- regression model