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相关概念视频

Multiple Bar Graph01:07

Multiple Bar Graph

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As the name suggests, a multiple bar graph is the same as a bar graph but has multiple bars to depict relationships between different data values. One can include as many parameters as possible. However, each parameter must have the same unit of measurement.
Each bar or column in the multiple bar graph represents a data value. These graphs are used primarily in interrelating two or more sets of data. The categories of different kinds of data are listed along the horizontal or x-axis, whereas...
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Bar Graph01:07

Bar Graph

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A bar graph is also called a bar chart and consists of bars that are separated from each other. It either uses horizontal or vertical bars to show comparisons among categories. The bars can be rectangles, or they can be rectangular boxes (used in three-dimensional plots). One axis of the graph represents the specific categories being compared, and the other axis shows a discrete value. In this graph, the length of the bar for each category is proportional to the number or percent of individuals...
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Woodward–Hoffmann Selection Rules and Microscopic Reversibility01:34

Woodward–Hoffmann Selection Rules and Microscopic Reversibility

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Electrocyclic reactions, cycloadditions, and sigmatropic rearrangements are concerted pericyclic reactions that proceed via a cyclic transition state. These reactions are stereospecific and regioselective. The stereochemistry of the products depends on the symmetry characteristics of the interacting orbitals and the reaction conditions. Accordingly, pericyclic reactions are classified as either symmetry-allowed or symmetry-forbidden. Woodward and Hoffmann presented the selection criteria for...
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Scatter Plot01:15

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The most common and easiest way to display the relationship between two variables, x and y, is a scatter plot. A scatter plot shows the direction of a relationship between the variables. A clear direction happens when there is either:
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Velocity and Position by Graphical Method01:34

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Velocity and position can be calculated from the known function of acceleration as a function of time. The total area under the acceleration-time graph and the velocity-time graph gives the change in velocity and position, respectively. In the case of an airplane, its acceleration is tracked using the inertial navigation system. The pilot provides the input of the airplane's initial position and velocity before takeoff. The inertial navigation system then uses the acceleration data to...
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Functional Classification of Joints01:09

Functional Classification of Joints

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Functional Classification of Joints
The functional classification of joints is determined by the amount of mobility between the adjacent bones. Joints are functionally classified as a synarthrosis or immobile joint, an amphiarthrosis or slightly moveable joint, or as a diarthrosis, a freely moveable joint. Fibrous and cartilaginous joints can be functionally classified as either synarthroses  or amphiarthroses, whereas all synovial joints are classified as diarthroses.
Synarthrosis
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学习异质关系图和视觉导航的价值规范化政策

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    此摘要是机器生成的。

    这项研究引入了视觉导航的新框架,通过整合对象关系和改进导航策略来增强代理性能. 这种方法显著提高了找到目标对象的成功率.

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    科学领域:

    • 计算机科学 计算机科学
    • 人工智能的人工智能
    • 机器人技术 机器人技术 机器人技术

    背景情况:

    • 视觉导航需要学习有效的视觉表示和强大的政策.
    • 代理商经常与陷入局的状态作斗争,例如卡住或循环.

    研究的目的:

    • 为了提高代理商的视觉表示学习和导航政策的稳定性.
    • 制定一个框架,提高成功率和导航效率.

    主要方法:

    • 提出了三种互补的技术:异质关系图 (HRG),价值规范导航策略 (VRP) 和基于梯度的元学习 (ML).
    • HRG集成了语义和空间对象关系.
    • VRP和基于梯度的ML规范了政策培训,以摆脱局并改善泛化.

    主要成果:

    • 该框架在成功率和按长度加权的成功率 (SPL) 方面表现优于最先进的方法.
    • 在跨场景概括方面,HRG显著优于视觉基因组知识图,在Hits@5和MRR中显示出明显的改进.
    • 拟议的方法有助于代理人摆脱局状态,并做出更明智的导航决策.

    结论:

    • 开发的框架通过改善视觉表示和导航政策来增强视觉导航能力.
    • HRG方法显示了对现实世界应用程序的巨大潜力,这些应用程序需要强大的视觉理解和导航.
    • 代码和数据集将公开发布,使科学界受益.