In recent years, the topic of contactless biometric identification has gained considerable traction due to COVID-19 pandemic. One most well-known technologies is iris recognition. Determining classification threshold for large datasets images remains challenging. To solve this issue, it essential extract more discriminatory features from images. Choosing appropriate loss function enhance discri...

Neural-symbolic approaches have recently gained popularity to inject prior knowledge into a learner without requiring it induce this from data. These can potentially learn competitive solutions with significant reduction of the amount supervised A large class neural-symbolic is based on First-Order Logic represent knowledge, relaxed differentiable form using fuzzy logic. This paper shows that l...

We propose a randomized greedy search algorithm to find point estimate for random partition based on loss function and posterior Monte Carlo samples. Given the large size awkward discrete nature of space, minimization expected is challenging. Our approach stochastic series optimizations performed in order embarrassingly parallel. consider several functions, including Binder variation informatio...