Lifelong person re-identification (LReID) is in significant demand for real-world development as a large amount of ReID data captured from diverse locations over time and cannot be accessed at once inherently. However, key challenge LReID how to incrementally preserve old knowledge gradually add new capabilities the system. Unlike most existing methods, which mainly focus on dealing with catast...

Abstract Vehicle re-identification is a challenging task that matches vehicle images captured by different cameras. Recent approaches exploit complex deep networks to learn viewpoint robust features for obtaining accurate results, which causes large computations in their testing phases restrict the speed. In this paper, we propose knowledge distillation (VRKD) method accelerating re-identificat...

Abstract The number of digital solutions based on machine learning has increased in recent years. In many industrial sectors, they try to enhance automation manual or repetitive tasks provide decision support for complex problems. Data plays an essential role the selection and implementation ML algorithms, as it determines quality training results. As data drive models, selecting correct with s...

In recent years, the rapid development of deep learning technology has brought new opportunities for specific emitter identification and greatly improved performance radar identification. The most methods, based on learning, have focused more studying network structures data preprocessing. However, selection utilization a significant impact recognition efficiency, method to adaptively determine...

The main purpose of this study was to investigate the relationship between organizational culture and knowledge management in Hamedan's Jihad- Agriculture Applied-Scientific higher education center (HJAAS). Denison's Organizational Culture Model and the Building Blocks of Knowledge Management Model were used for finding this relationship. A descriptive correlative methodology was used. The stat...