Bayesian subspace analysis (BSA) has been successfully applied in data mining and pattern recognition. However, due to the use of probabilistic measure of similarity, it often needs much more projective vectors for better performance, which makes the compression ratio very low. In this paper, we propose a novel 2D Bayesian subspace analysis (2D-BSA) method for face recognition at high compressi...

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This paper describes the systematization of evaluation metrics for 2D human pose analysis models. Some most popular tasks solved using machine learning (ML) methods are detection, tracking and recognition actions various practical applications. There a lot different that allow evaluating model from one point or another. To evaluate specific task, certain set is used. However, as literature show...

Abstract We investigated the growth mechanism of 2D Mo2C crystals by chemical vapor deposition (CVD) under various time and temperature conditions. The kinetics on Cu via were using a modified Johnson-Mehl-Avrami-Kolmogorov (JMAK) model. To analyze surface coverage, we employed scanning electron microscopy (SEM) applied model to determine rate activation energy. exhibited temperature-dependent ...