TT-TSDF: Memory-Efficient TSDF with Low-Rank Tensor Train Decomposition.
Alexey I. BoykoMikhail P. MatrosovIvan V. OseledetsDzmitry TsetserukouGonzalo FerrerPublished in: IROS (2020)
Keyphrases
- memory efficient
- low rank
- tensor decomposition
- trace norm
- high order
- matrix factorization
- linear combination
- convex optimization
- frobenius norm
- missing data
- data representation
- low rank matrix
- high dimensional data
- matrix completion
- singular value decomposition
- rank minimization
- semi supervised
- minimization problems
- tensor factorization
- higher order
- kernel matrix
- matrix decomposition
- robust principal component analysis
- auxiliary information
- low rank approximation
- singular values
- dimensionality reduction
- multi task
- low rank matrices
- data matrix
- collaborative filtering
- pairwise
- low rank and sparse
- face recognition