Many Universal Convolution Cores for Ensemble Sparse Convolutional Neural Networks.
Ryosuke KuramochiYouki SadaMasayuki ShimodaShimpei SatoHiroki NakaharaPublished in: MCSoC (2019)
Keyphrases
- convolutional neural networks
- convolutional network
- ensemble learning
- sparse data
- ensemble methods
- high dimensional
- image processing
- training data
- training set
- sparse representation
- random forest
- compressed sensing
- classifier ensemble
- feature selection
- linear filtering
- ensemble members
- sparse matrix
- base classifiers
- ensemble classifier
- data sets
- image reconstruction
- multiresolution
- learning algorithm