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Robust model fitting plays a vital role in computer vision, and research into algorithms for robust fitting continues to be active. Arguably the most popular paradigm for robust fitting in computer vision is consensus maximisation, which strives to find the model parameters that maximise the number of inliers. Despite the significant developments in algorithms for consensus maximisation, there ...

In many real-life situations, we only have partial information about probabilities. This information is usually described by bounds on moments, on probabilities of certain events, etc. – i.e., by characteristics c(p) which are linear in terms of the unknown probabilities pj . If we know interval bounds on some such characteristics ai ≤ ci(p) ≤ ai, and we are interested in a characteristic c(p),...

Hard rock aquifers for the purpose of this Paper mean the non-carbonate, fractured rock aquifers in the terrain covered by crystalline basement complex, metamorphic rocks and also by extensive effusive volcanic rocks like the basalts of western India (Deccan traps. Ground water development in hard rock aquifer areas has always played a secondary role compared to that in the areas having high-yi...

Background:Many problems of combinatorial optimization, which are solvable only in exponential time, are known to be Non-Deterministic Polynomial hard (NP-hard). With the advent of parallel machines, new opportunities have been emerged to develop the effective solutions for NP-hard problems. However, solving these problems in polynomial time needs massive parallel machines and ...

It is investigated whether the "X17 puzzle" might be explained by a nuclear decay chain and conversion of two resulting highly energetic $\gamma$s into an electron-positron pair. found that corresponding kinematics fits perfectly to experimental result. Also rates this process are reasonable. However, assumed reaction not favored in established models no explanation for isospin structure signal...