Speeding up Convolutional Neural Networks with Low Rank Expansions.
Max JaderbergAndrea VedaldiAndrew ZissermanPublished in: CoRR (2014)
Keyphrases
- low rank
- convolutional neural networks
- linear combination
- missing data
- convolutional network
- convex optimization
- low rank matrix
- matrix completion
- matrix factorization
- singular value decomposition
- semi supervised
- kernel matrix
- matrix decomposition
- high order
- high dimensional data
- singular values
- minimization problems
- rank minimization
- robust principal component analysis
- low rank matrices
- low rank and sparse
- data sets
- affinity matrix
- neural network
- data matrix
- image classification
- collaborative filtering
- high dimensional
- learning algorithm