On the Convergence of Iterated Random Maps with Applications to the MCEM Algorithm.
Gersende FortEric MoulinesPhilippe SoulierPublished in: COMPSTAT (1998)
Keyphrases
- optimization algorithm
- dynamic programming
- k means
- objective function
- similarity measure
- faster convergence
- preprocessing
- experimental evaluation
- times faster
- input data
- iterative algorithms
- improved algorithm
- recognition algorithm
- convergence rate
- matching algorithm
- classification algorithm
- rapid convergence
- detection algorithm
- clustering method
- theoretical analysis
- high accuracy
- worst case
- np hard
- cost function
- computational complexity
- path planning
- scheduling problem
- probabilistic model
- selection algorithm
- single pass
- significant improvement
- convergence property
- convergence proof
- convergence theorem