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Found 5 papers, 0 papers with code
Learn to Cluster Faces with Better Subgraphs
Face clustering can provide pseudo-labels to the massive unlabeled face data and improve the performance of different face recognition models.
Probability Estimation with Truncated Inverse Binomial Sampling
In this theory, the fixed-size sampling and inverse binomial sampling are accommodated as special cases.
Concentration Inequalities for Bounded Random Vectors
We derive simple concentration inequalities for bounded random vectors, which generalize Hoeffding's inequalities for bounded scalar random variables.
A Likelihood Ratio Approach for Probabilistic Inequalities
We have derived new concentration inequalities using the proposed approach, which cannot be obtained by the classical approach based on moment generating functions.
Asymptotically Optimal Sequential Estimation of the Mean Based on Inclusion Principle
A large class of problems in sciences and engineering can be formulated as the general problem of constructing random intervals with pre-specified coverage probabilities for the mean.
