High-dimensional Bayesian Optimization for CNN Auto Pruning with Clustering and Rollback.
Jiandong MuHanwei FanWei ZhangPublished in: CoRR (2021)
Keyphrases
- high dimensional
- data points
- high dimensional data
- clustering algorithm
- clustering method
- high dimensionality
- k means
- high dimensional datasets
- unsupervised learning
- high dimensional data sets
- hierarchical clustering
- optimization algorithm
- pruning method
- data clustering
- global optimization
- categorical data
- self organizing maps
- outlier detection
- optimization problems
- dimensionality reduction
- similarity search
- alternating optimization
- efficient optimization
- bayesian networks
- search space
- cellular neural networks
- subspace clustering
- optimization process
- posterior probability
- multi dimensional
- maximum likelihood
- sparse coding
- fuzzy clustering
- posterior distribution
- probability distribution
- probabilistic model
- parameter space
- multi objective
- document clustering
- data sets
- low dimensional
- dirichlet process mixture models
- high dimensional data space