Speeding up Convolutional Neural Networks with Low Rank Expansions.
Max JaderbergAndrea VedaldiAndrew ZissermanPublished in: BMVC (2014)
Keyphrases
- low rank
- convolutional neural networks
- missing data
- convolutional network
- convex optimization
- linear combination
- singular value decomposition
- low rank matrix
- high dimensional data
- matrix factorization
- matrix completion
- rank minimization
- semi supervised
- kernel matrix
- high order
- trace norm
- minimization problems
- singular values
- affinity matrix
- data mining
- data matrix
- missing values
- pattern recognition
- data sets
- binary matrix
- image denoising
- neural network