Low-Rank Tensor Recovery for Geo-Demand Estimation in Online Retailing.
Long HeZhiwei (Tony) QinJagtej BewliPublished in: INNS Conference on Big Data (2015)
Keyphrases
- low rank
- trace norm
- high order
- tensor decomposition
- frobenius norm
- matrix factorization
- missing data
- linear combination
- convex optimization
- singular value decomposition
- low rank matrix
- matrix completion
- semi supervised
- kernel matrix
- rank minimization
- regularized regression
- high dimensional data
- matrix decomposition
- tensor factorization
- low rank matrices
- minimization problems
- higher order
- interior point methods
- data matrix
- dimensionality reduction
- robust principal component analysis
- non rigid structure from motion
- singular values
- high dimensional
- collaborative filtering
- data mining
- learning algorithm
- data analysis
- natural images