The following pages link to (Q5396727):
Displaying 16 items.
- Smooth sparse coding via marginal regression for learning sparse representations (Q309913) (← links)
- On the identifiability of overcomplete dictionaries via the minimisation principle underlying K-SVD (Q741264) (← links)
- Learning semidefinite regularizers (Q1740575) (← links)
- Convergence radius and sample complexity of ITKM algorithms for dictionary learning (Q1748252) (← links)
- Compressive sensing and neural networks from a statistical learning perspective (Q2106482) (← links)
- Risk bound of transfer learning using parametric feature mapping and its application to sparse coding (Q2331678) (← links)
- Learning big (image) data via coresets for dictionaries (Q2513397) (← links)
- Learning Sparsely Used Overcomplete Dictionaries via Alternating Minimization (Q3179269) (← links)
- Generalization Error in Deep Learning (Q3296180) (← links)
- (Q4558493) (← links)
- Trainlets: Dictionary Learning in High Dimensions (Q4619621) (← links)
- Learning Finite-Dimensional Coding Schemes with Nonlinear Reconstruction Maps (Q5025792) (← links)
- Adaptive Geometric Multiscale Approximations for Intrinsically Low-dimensional Data (Q5214182) (← links)
- On the Purity and Entropy of Mixed Gaussian States (Q5230194) (← links)
- Dimensionality-Dependent Generalization Bounds for <i>k</i>-Dimensional Coding Schemes (Q5380581) (← links)
- Alternating Proximal Regularized Dictionary Learning (Q5383811) (← links)