Compressive Statistical Learning with Random Feature Moments.
Rémi GribonvalGilles BlanchardNicolas KerivenYann TraonmilinPublished in: CoRR (2017)
Keyphrases
- statistical learning
- information theory
- model selection
- supervised learning
- statistical learning theory
- multi view face detection
- feature vectors
- image features
- learning algorithm
- statistical inference
- databases
- semi supervised learning
- random projections
- k means
- pattern recognition
- feature set
- multiscale
- sparse representation
- computer vision
- compressive sensing
- machine learning
- structured sparsity