Spatially-organized random projections of images for dimensionality reduction and privacy-preserving classification.
Ewa Skubalska-RafajlowiczPublished in: nDS (2017)
Keyphrases
- random projections
- dimensionality reduction
- image data
- input image
- image classification
- principal component analysis
- image features
- compressive sensing
- dimension reduction
- sparse representation
- low dimensional
- object recognition
- data sets
- feature extraction
- high dimensional
- high dimensionality
- image reconstruction
- high dimensional data
- similarity measure
- document collections
- similarity search
- computer vision
- high quality
- multiscale
- original data
- information retrieval
- random sampling
- machine learning
- image retrieval