Subspace detection of high-dimensional vectors using compressive sampling.
Martin AzizyanAarti SinghPublished in: SSP (2012)
Keyphrases
- high dimensional
- lower dimensional
- low dimensional
- dimensionality reduction
- high dimensional data
- feature space
- nearest neighbor
- principal components
- principal component analysis
- machine learning
- high dimensionality
- similarity search
- unsupervised learning
- motion estimation
- data points
- feature extraction
- computer vision
- data sets
- feature vectors
- multiscale
- sparse coding
- spatial domain
- compressive sampling