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相关概念视频

Cluster Sampling Method01:20

Cluster Sampling Method

11.9K
Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
11.9K
Stratified Sampling Method01:16

Stratified Sampling Method

12.0K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a stratified sample, divide the population into groups called strata and then take a...
12.0K
Differential Leveling01:12

Differential Leveling

183
Differential leveling is a precise method in surveying used to determine the elevation difference between two points. Its primary goal is to establish accurate vertical measurements to create level surfaces or grade lines critical for designing and constructing infrastructures such as roads, bridges, and buildings.The procedure for differential leveling begins with setting up and leveling the instrument at a point where the benchmark can be seen. The level rod is held on the benchmark (BM), and...
183
Distance Measurements by Taping01:18

Distance Measurements by Taping

38
Tapes are essential in surveying for accurate, durable, and short-distance measurements. Made from lightweight, nylon-coated steel, they offer flexibility and strength for rugged outdoor use. The nylon coating protects against rust and wear, extending the tape's life. Standard lengths, around 30 meters, are marked in meters and millimeters for precision.Surveyors select tapes based on site conditions and accuracy needs. Lightweight, nylon-coated tapes are commonly used for ease of handling and...
38
Sampling Methods: Overview01:06

Sampling Methods: Overview

324
A sample refers to a smaller subset representative of a larger population. In analytical chemistry, studying or analyzing an entire population is often impractical or impossible. Therefore, samples are used to draw inferences and generalize the whole population. The sampling method selects individuals or items from a population to create a sample. Standard sampling methods include random, judgemental, systematic, stratified, and cluster sampling. 
In analytical chemistry, the choice of...
324
Sampling Plans01:23

Sampling Plans

187
Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
187

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相关实验视频

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Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery
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积极差异采样用于与附属网络的立体声匹配.

Chenghao Zhang, Gaofeng Meng, Kun Tian

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
    |December 20, 2023
    PubMed
    概括

    这项研究引入了主动差异采样,以优化立体视觉的深度测量. 通过学习像素智能的差异质量,它可以提高密度差异估计,特别是在具有挑战性的领域.

    科学领域:

    • 计算机视觉 计算机视觉
    • 机器学习 机器学习
    • 机器人技术 机器人技术 机器人技术

    背景情况:

    • 稀疏的深度测量用于指导立体视觉中的密度差异估计.
    • 现有的方法假定随机抽样,导致在具有挑战性和良好估计的地区使用数据效率低下.

    研究的目的:

    • 为优化深度测量实用程序引入一个主动差异采样 (ADS) 问题.
    • 通过任意抽样预算来提高密度差异估计的性能.

    主要方法:

    • 学习辅助网络来预测深度立体声模型的像素智能差异质量.
    • 为分层质量地图学习实施硬软先前监督.
    • 建议以差异质量为指导的贝叶斯优化抽样政策.

    主要成果:

    • 在各种立体声架构和数据集中证明了有效性.
    • 在不同的采样速率下,超越现有的固定和自适应采样方法.
    • 当将其泛化到异质的未见域时,显示了实质性的改进.

    结论:

    • 主动差异采样增强了稀疏深度测量的实用性,用于密集差异估计.

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  • 拟议的方法提供了一种灵活和有效的方法,用于在立体视觉中采样策略.
  • 这种方法可以很好地对多样化和以前未见过的数据领域进行概括.