Answer:
unemployed workers as a percentage of the labor force
Explanation:
The level of unemployment refers to the proportion of the unemployed population, measured as a statistic. This is a stagnating predictor, which means this normally grows or drops in the face of shifting economic circumstances instead of predicting them.
The rate of joblessness should be projected to rise whenever the country is in bad condition and opportunities are limited. If the economy expands at a steady pace, and workers are fairly stable, it could be predicted to decline.
Answer:
Experiential
Explanation:
According to the triarchic theory of intelligence there are three aspects of intelligence. The Experiential aspect refers to how well you transfer skills to new situations and cope with novelty. The experiential aspect of intelligence deals with the ability to successfully cope with new and unusual situations by drawing on existing knowledge and skills. example of creative intelligence is using your imagination to write a short story, paint artwork, or create an advertisement
Explanation:
I think it will help you otherwise comment...
Markerless motion capture and understanding of professional non-daily human movements is an important yet unsolved task, which suffers from complex motion patterns and severe self-occlusion, especially for the monocular setting. In this paper, we propose SportsCap -- the first approach for simultaneously capturing 3D human motions and understanding fine-grained actions from monocular challenging sports video input.
About SportCaps :
SportsCap proposes a challenging sports dataset called Sports Motion and Recognition Tasks (SMART) dataset, which contains per-frame action labels, manually annotated pose, and action assessment of various challenging sports video clips from professional referees.
Their approaches :
This is especially prevalent in non-daily action classes like fitness and sports domains. This can be mitigated, for example, by annotating domain-specific datasets , but that requires a considerable amount of manual annotation efforts, financial resources, and 3D annotations can only be obtained in controlled conditions. Therefore, we propose to learn domain-specific pose-sensitive representations from unlabeled videos, which can be fine tuned using only a small labeled dataset. ...
Learn more about Monocular 3 D Human :
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