OLÉ: Orthogonal Low-rank Embedding, A Plug and Play Geometric Loss for Deep Learning.
José LezamaQiang QiuPablo MuséGuillermo SapiroPublished in: CoRR (2017)
Keyphrases
- deep learning
- low rank
- high order
- unsupervised learning
- linear combination
- convex optimization
- matrix completion
- matrix factorization
- missing data
- semi supervised
- rank minimization
- singular value decomposition
- high dimensional data
- machine learning
- weakly supervised
- singular values
- feature extraction
- image sequences
- feature selection