Search Results for author: Erchuan Zhang

Found 5 papers, 2 papers with code

Maximum Consensus by Weighted Influences of Monotone Boolean Functions

no code implementations CVPR 2022 Erchuan Zhang, David Suter, Ruwan Tennakoon, Tat-Jun Chin, Alireza Bab-Hadiashar, Giang Truong, Syed Zulqarnain Gilani

In particular, we study endowing the Boolean cube with the Bernoulli measure and performing biased (as opposed to uniform) sampling.

Consensus Maximisation Using Influences of Monotone Boolean Functions

1 code implementation CVPR 2021 Ruwan Tennakoon, David Suter, Erchuan Zhang, Tat-Jun Chin, Alireza Bab-Hadiashar

Consensus maximisation (MaxCon), which is widely used for robust fitting in computer vision, aims to find the largest subset of data that fits the model within some tolerance level.

Monotone Boolean Functions, Feasibility/Infeasibility, LP-type problems and MaxCon

no code implementations11 May 2020 David Suter, Ruwan Tennakoon, Erchuan Zhang, Tat-Jun Chin, Alireza Bab-Hadiashar

This paper outlines connections between Monotone Boolean Functions, LP-Type problems and the Maximum Consensus Problem.

Vocal Bursts Type Prediction

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