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MICCAI
2010
Springer
15 years 2 months ago
Incorporating Priors on Expert Performance Parameters for Segmentation Validation and Label Fusion: A Maximum a Posteriori STAPL
Abstract. In order to evaluate the quality of segmentations of an image and assess intra- and inter-expert variability in segmentation performance, an Expectation Maximization (EM)...
Olivier Commowick, Simon K. Warfield
149
Voted
PODC
2012
ACM
13 years 6 months ago
Iterative approximate byzantine consensus in arbitrary directed graphs
This paper proves a necessary and sufficient condition for the existence of iterative algorithms that achieve approximate Byzantine consensus in arbitrary directed graphs, where e...
Nitin H. Vaidya, Lewis Tseng, Guanfeng Liang
116
Voted
CPM
2006
Springer
95views Combinatorics» more  CPM 2006»
15 years 7 months ago
New Bounds for Motif Finding in Strong Instances
Many algorithms for motif finding that are commonly used in bioinformatics start by sampling r potential motif occurrences from n input sequences. The motif is derived from these s...
Brona Brejová, Daniel G. Brown, Ian M. Harr...
229
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ATAL
2008
Springer
15 years 5 months ago
Efficient multi-agent reinforcement learning through automated supervision
Multi-Agent Reinforcement Learning (MARL) algorithms suffer from slow convergence and even divergence, especially in large-scale systems. In this work, we develop a supervision fr...
Chongjie Zhang, Sherief Abdallah, Victor R. Lesser
IOR
2007
119views more  IOR 2007»
15 years 3 months ago
A Decentralized Approach to Discrete Optimization via Simulation: Application to Network Flow
We study a new class of decentralized algorithms for discrete optimization via simulation, which is inspired by the fictitious play algorithm applied to games with identical inte...
Alfredo Garcia, Stephen D. Patek, Kaushik Sinha