Tensor Convolutional Sparse Coding with Low-Rank activations, an application to EEG analysis.
Pierre HumbertLaurent OudreNicolas VayatisJulien AudiffrenPublished in: CoRR (2020)
Keyphrases
- sparse coding
- low rank
- group sparsity
- linear combination
- dictionary learning
- unsupervised learning
- trace norm
- natural images
- sparse representation
- sparsity constraints
- convex optimization
- signal processing
- image classification
- high order
- data analysis
- multiscale
- data sets
- image representation
- singular value decomposition
- matrix factorization
- machine learning
- high dimensional data
- missing data
- training data
- higher order
- face recognition
- semi supervised
- matrix completion
- high dimensional