A gradient method on the initial partition of Fiduccia-Mattheyses algorithm.
Lung-Tien LiuMing-Ter KuoShih-Chen HuangChung-Kuan ChengPublished in: ICCAD (1995)
Keyphrases
- gradient method
- learning algorithm
- optimization algorithm
- k means
- image processing
- objective function
- computational complexity
- convergence rate
- multiresolution
- cost function
- input data
- convex formulation
- convex optimization
- expectation maximization
- information retrieval systems
- simulated annealing
- dimensionality reduction
- probabilistic model
- search space
- high dimensional
- training data
- similarity measure