A Note on Implementations of the Boosting Algorithm and Heterogeneous Multiscale Methods.
John MacleanPublished in: SIAM J. Numer. Anal. (2015)
Keyphrases
- computational cost
- preprocessing
- multiscale
- significant improvement
- synthetic and real datasets
- detection algorithm
- synthetic and real images
- optimal solution
- computational complexity
- cost function
- dynamic programming
- learning algorithm
- classification algorithm
- benchmark datasets
- multiclass classification
- synthetic datasets
- heuristic methods
- parallel implementations
- expectation maximization
- worst case
- k means
- similarity measure
- face recognition
- decision trees
- boosted decision trees
- boosting framework
- simulated annealing
- weak classifiers
- spectral clustering
- matching algorithm
- graph cuts
- image segmentation
- image processing