Reconstruction of Missing Samples in Antepartum and Intrapartum FHR Measurements Via Mini-Batch-Based Minimized Sparse Dictionary Learning.
Yefei ZhangZhidong ZhaoYanjun DengXiaohong ZhangYu ZhangPublished in: IEEE J. Biomed. Health Informatics (2022)
Keyphrases
- dictionary learning
- sparse representation
- sparse coding
- image super resolution
- single image super resolution
- compressed sensing
- reconstruction error
- sparsity constraints
- compressive sensing
- group sparsity
- object category recognition
- natural images
- data sets
- missing data
- sparse codes
- image classification
- training set
- image patches
- image reconstruction
- image representation
- random projections
- signal recovery
- discriminative dictionary
- linear combination
- feature vectors
- dictionary learning for sparse