Boosting Spectral Partitioning by Sampling and Iteration.
Joachim GiesenDieter MitschePublished in: ISAAC (2005)
Keyphrases
- random sampling
- normalized cut
- learning algorithm
- spectral analysis
- monte carlo
- graph partitioning
- iterative process
- partitioning algorithm
- weak learners
- sampling methods
- sampling rate
- variance reduction
- ensemble learning
- ensemble methods
- sampling strategies
- objective function
- machine learning
- spectral images
- weak hypotheses
- introducing additional
- sampling algorithm
- markov chain monte carlo
- image reconstruction
- color images
- training data
- feature selection