Fast Low-Latency Convolution by Low-Rank Tensor Approximation.
Martin JälmbyFilip ElvanderToon van WaterschootPublished in: ICASSP (2023)
Keyphrases
- low rank
- low latency
- frobenius norm
- trace norm
- high order
- tensor decomposition
- matrix decomposition
- linear combination
- missing data
- high speed
- matrix factorization
- matrix completion
- convex optimization
- high throughput
- singular value decomposition
- virtual machine
- low rank matrix
- rank minimization
- high dimensional data
- highly efficient
- kernel matrix
- low rank approximation
- semi supervised
- image processing
- real time
- higher order
- singular values
- machine learning
- multi task
- data matrix
- pairwise
- dimensionality reduction
- data sets
- data processing
- stream processing
- small number