Graph Partitioning via Parallel Submodular Approximation to Accelerate Distributed Machine Learning.
Mu LiDave G. AndersenAlexander J. SmolaPublished in: CoRR (2015)
Keyphrases
- graph partitioning
- machine learning
- partitioning algorithm
- graph model
- image segmentation
- clustering algorithm
- weighted graph
- data clustering
- spectral graph
- spectral clustering
- normalized cut
- min cut
- max cut
- greedy algorithm
- data mining
- text mining
- information extraction
- data analysis
- higher order
- feature selection
- superpixels
- learning algorithm
- spectral graph partitioning
- energy minimization
- unsupervised learning
- active learning
- bayesian networks
- image processing
- computer vision