Subspace Detection from Structured Union of Subspaces via Linear Sampling
Thakshila WimalajeewaYonina C. EldarPramod K. VarshneyPublished in: CoRR (2013)
Keyphrases
- linear subspace
- grassmann manifold
- hilbert space
- low dimensional
- high dimensional data
- lower dimensional
- high dimensional
- subspace learning
- detection accuracy
- object detection
- detection algorithm
- automatic detection
- canonical correlations
- parameter space
- principal component analysis
- face recognition
- image space
- false alarms
- feature space
- subspace clusters
- stochastic gradient
- detection rate
- monte carlo
- subspace clustering
- dimensionality reduction
- feature extraction
- linear projection
- low rank representation
- null space
- multivariate time series
- feature subspace
- finite dimensional
- subspace methods
- random sampling
- image set
- false positives
- detection method