Compressing Deep Convolutional Neural Networks by Stacking Low-dimensional Binary Convolution Filters.
Weichao LanLiang LanPublished in: CoRR (2020)
Keyphrases
- convolutional neural networks
- low dimensional
- high dimensional
- convolutional network
- dimensionality reduction
- impulse response
- fir filters
- data points
- manifold learning
- high dimensional data
- principal component analysis
- input space
- fourier domain
- linear filtering
- euclidean space
- filter design
- data compression
- feature space
- multidimensional scaling
- edge detection
- hamming space
- filtering method
- graph embedding
- shape model
- face detection
- pairwise