Compressing Deep Convolutional Neural Networks by Stacking Low-dimensional Binary Convolution Filters.
Weichao LanLiang LanPublished in: AAAI (2021)
Keyphrases
- convolutional neural networks
- low dimensional
- high dimensional
- convolutional network
- dimensionality reduction
- principal component analysis
- impulse response
- fir filters
- manifold learning
- high dimensional data
- input space
- image processing
- data compression
- fourier domain
- data points
- hamming distance
- hamming space
- gabor filters
- euclidean space
- order statistics
- edge detection
- linear filtering
- combining multiple
- filter design
- pairwise distances
- semi supervised
- pairwise
- feature space