Interpretations of the omega-K algorithm and comparisons with other algorithms.
Ian G. CummingYew Lam NeoFrank H. WongPublished in: IGARSS (2003)
Keyphrases
- learning algorithm
- times faster
- computational efficiency
- computational complexity
- theoretical analysis
- related algorithms
- single pass
- worst case
- empirical analyses
- algorithm has been developed
- computationally efficient
- dynamic programming
- image processing algorithms
- computational cost
- benchmark problems
- recently developed
- computationally intensive
- memory requirements
- classification algorithm
- segmentation algorithm
- significant improvement
- cost function
- k means
- detection algorithm
- space complexity
- synthetic and real world datasets
- search space
- preprocessing
- filtering algorithm
- noisy data
- apriori algorithm
- hybrid algorithm
- decision trees
- synthetic datasets
- np hard
- incremental version
- synthetic and real datasets
- objective function
- algorithms require
- maximum flow
- optimal solution
- exhaustive search
- solution quality
- data clustering
- matching algorithm
- expectation maximization
- simulated annealing
- experimental evaluation
- skyline queries
- highly efficient
- convergence rate
- data structure
- combinatorial optimization
- optimization algorithm
- probabilistic model