Auto-adaptative Laplacian Pyramids for high-dimensional data analysis.
Ángela FernándezNeta RabinJosé R. DorronsoroPublished in: CoRR (2013)
Keyphrases
- high dimensional data analysis
- dimension reduction
- preprocessing step
- high dimensional
- multimodal data
- variable selection
- face recognition
- dimensionality reduction methods
- high dimensional data
- dimensionality reduction
- supervised dimensionality reduction
- preprocessing
- principal component analysis
- data sets
- feature extraction
- data analysis
- optical flow
- lower dimensional
- sparse coding
- similarity search
- low dimensional
- least squares
- high dimensionality
- cross validation
- unsupervised learning
- pattern recognition
- nearest neighbor
- data points
- feature space