Efficient Parallel Estimation for Markov Random Fields

Autor:	Swain, Michael J., Wixson, Lambert E., Chou, Paul B.
Rok vydání:	2013
Předmět:	Computer Science - Artificial Intelligence
Druh dokumentu:	Working Paper
Popis:	We present a new, deterministic, distributed MAP estimation algorithm for Markov Random Fields called Local Highest Confidence First (Local HCF). The algorithm has been applied to segmentation problems in computer vision and its performance compared with stochastic algorithms. The experiments show that Local HCF finds better estimates than stochastic algorithms with much less computation. Comment: Appears in Proceedings of the Fifth Conference on Uncertainty in Artificial Intelligence (UAI1989)
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1304.1532 Zobrazit plný text záznamu View this record from Arxiv