Crowd counting is a computer vision task on which considerable progress has recently been made thanks to convolutional neural networks. However, it remains challenging even in scene-specific settings, real-world application scenarios where no representative images of the target scene are available, not unlabelled, for training or fine-tuning crowd model. Inspired by previous work other tasks, w...

conclusions development of the job and task analysis to ensure providing the right training needs, applying more evidences through different studies for reforms, more decentralized equipped system with decision-making tools have been proposed for development. results the results showed the specific method of student selection and clear objectives and standards of training related to the health ...

We study experimentally whether employers or workers should invest in firm specific training. Only workers are assumed to have an alternative trading opportunity. Both the turnover costs case where this alternative takes the form of an outside option and the no-friction case where it serves as a threat point are considered. Theory predicts that in the turnover costs case employers have better i...