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相关概念视频

Vector Algebra: Graphical Method01:10

Vector Algebra: Graphical Method

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Vectors can be multiplied by scalars, added to other vectors, or subtracted from other vectors. The vector sum of two (or more) vectors is called the resultant vector or, for short, the resultant.
We use the laws of geometry to construct resultant vectors, followed by trigonometry to find vector magnitudes and directions. For a geometric construction of the sum of two vectors in a plane, we follow the parallelogram rule. Suppose two vectors are at arbitrary positions. Translate either one of...
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Vector Algebra: Method of Components01:08

Vector Algebra: Method of Components

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It is cumbersome to find the magnitudes of vectors using the parallelogram rule or using the graphical method to perform mathematical operations like addition, subtraction, and multiplication. There are two ways to circumvent this algebraic complexity. One way is to draw the vectors to scale, as in navigation, and read approximate vector lengths and angles (directions) from the graphs. The other way is to use the method of components.
In many applications, the magnitudes and directions of...
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Methods of Obtaining Topography01:25

Methods of Obtaining Topography

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Topography involves measuring and mapping land elevations, natural features, and artificial structures to create accurate representations of the terrain. Topographic surveying relies on traditional and modern methods, each with distinct advantages and limitations.Traditional Surveying Methods:Transit stadia surveys and plane table surveys were widely used traditional surveying methods. These techniques relied on instruments like theodolites and stadia rods for measuring distances and angles,...
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Plotting of Topographic Maps01:29

Plotting of Topographic Maps

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Topographic maps represent the Earth's surface features using contour lines, which connect points of equal elevation to create a two-dimensional representation of three-dimensional terrain. Creating a topographic map requires a systematic approach.Begin by plotting a scaled grid and marking intersections corresponding to the survey's elevation data points. Assign elevation values at these intersections to build the base map. Next, determine contour levels using a consistent contour interval,...
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Vector Components in the Cartesian Coordinate System01:29

Vector Components in the Cartesian Coordinate System

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Vectors are usually described in terms of their components in a coordinate system. Even in everyday life, we naturally invoke the concept of orthogonal projections in a rectangular coordinate system. For example, if someone gives you directions for a particular location, you will be told to go a few km in a direction like east, west, north, or south, along with the angle in which you are supposed to move. In a rectangular (Cartesian) xy-coordinate system in a plane, a point in a plane is...
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Manipulation and Analysis01:21

Manipulation and Analysis

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GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
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相关实验视频

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Trajectory Data Analyses for Pedestrian Space-time Activity Study
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Trajectory Data Analyses for Pedestrian Space-time Activity Study

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对拓数据分析中的矢量化方法的调查.

Dashti Ali, Aras Asaad, Maria-Jose Jimenez

    IEEE transactions on pattern analysis and machine intelligence
    |August 30, 2023
    PubMed
    概括

    这项研究比较了在机器学习中向量化持久性同质条形码的13种方法. 令人惊的是,使用基本总结统计数据的简单向量化在分类任务中表现最好.

    科学领域:

    • 计算拓学的计算拓.
    • 机器学习 机器学习
    • 数据科学是数据科学.

    背景情况:

    • 拓数据分析 (TDA) 为理解复杂数据结构提供了强大的工具.
    • 持久的同质条形码是TDA的一个关键输出,捕获形状信息.
    • 这些条形码的有效矢量化对于它们融入监督学习至关重要.

    研究的目的:

    • 系统地评估和比较用于矢量化持久同质条形码的现有方法.
    • 为监督分类任务确定最有效的矢量化技术.
    • 为理解和实验这些方法提供一个框架.

    主要方法:

    • 审查和分类了13种不同的矢量化技术,用于持久的同质条形码.
    • 开发了一个组织框架来分类这些矢量化方法.
    • 使用三个已建立的监督分类数据集进行了全面的比较研究.

    主要成果:

    • 在13种矢量化方法中发现了显著的性能差异.
    • 发现一个简单的向量化方法,依赖于基本的总结统计,实现了优异的性能.
    • 在这些任务中证明了简单方法对更复杂的拓特征提取技术的有效性.

    更多相关视频

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    结论:

    • 选择矢量化方法对将拓特征集成到机器学习模型中的成功产生重大影响.
    • 简单的总结基于统计数据的矢量化可以在分类方面具有高度竞争力和效率.
    • 提供了一个网络应用程序,以帮助研究人员探索和选择适当的矢量化策略.