Mitigating severe over-parameterization in deep convolutional neural networks through forced feature abstraction and compression with an entropy-based heuristic.
Nidhi GowdraRoopak SinhaStephen G. MacDonellWei Qi YanPublished in: CoRR (2021)
Keyphrases
- convolutional neural networks
- image compression
- convolutional network
- compression scheme
- high level
- search algorithm
- image features
- lossless compression
- dynamic programming
- feature set
- data sets
- tabu search
- data compression
- compression algorithm
- simulated annealing
- compression ratio
- feasible solution
- feature vectors
- optimal solution
- image processing
- genetic algorithm