Two linear time Union-Find strategies for image processing
Theoretical Computer Science
Efficiency of a Good But Not Linear Set Union Algorithm
Journal of the ACM (JACM)
Computer Vision: A Modern Approach
Computer Vision: A Modern Approach
Concentration for Independent Permutations
Combinatorics, Probability and Computing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Correlation clustering in general weighted graphs
Theoretical Computer Science - Approximation and online algorithms
Semi-supervised statistical region refinement for color image segmentation
Pattern Recognition
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We propose an adaptive procedure for segmenting images by merging of homogeneous regions. The algorithm is based on sharp concentration inequalities and is tailored to avoid over- and under-merging by controlling simultaneously the type I and II errors in the associated statistical testing problem.