Tight Variational Bounds via Random Projections and I-Projections.
Lun-Kai HsuTudor AchimStefano ErmonPublished in: CoRR (2015)
Keyphrases
- random projections
- upper bound
- lower bound
- worst case
- compressive sensing
- dimensionality reduction
- compressed sensing
- dimension reduction
- sparse representation
- random sampling
- low dimensional
- original data
- image reconstruction
- optical flow
- principal component analysis
- image segmentation
- high dimensionality
- objective function
- high quality
- information retrieval systems
- image data
- hash functions
- data mining
- optimal solution
- feature extraction
- computer vision
- information retrieval