Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Multiple Bar Graph01:07

Multiple Bar Graph

5.1K
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...
5.1K
Ogive Graph01:07

Ogive Graph

5.6K
An ogive graph is sometimes called a cumulative frequency polygon. It is one type of frequency polygon that shows cumulative frequency. In other words, the cumulative percentages are added to the graph from left to right. An ogive graph plots cumulative frequency on the vertical y-axis and class boundaries along the horizontal x-axis. It’s very similar to a histogram; only instead of rectangles, an ogive displays a single point where the top right of the rectangle would be. Creating this...
5.6K
Bar Graph01:07

Bar Graph

16.4K
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...
16.4K
Vector Algebra: Graphical Method01:10

Vector Algebra: Graphical Method

12.1K
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...
12.1K
Inductive Reasoning00:59

Inductive Reasoning

60.4K
Inductive reasoning is a form of logical thinking that uses related observations to arrive at a general conclusion. It is uncertain and operates in degrees to which the conclusions are credible. As such, inductive arguments can be weak or strong, rather than valid or invalid, and conclusions can be used to formulate testable, falsifiable hypotheses.
Inductive reasoning is common in descriptive science. A life scientist makes observations and records them. This data can be qualitative or...
60.4K
Deductive Reasoning01:16

Deductive Reasoning

55.3K
Deductive reasoning, or deduction, is the type of logic used in hypothesis-based science. In deductive reasoning, the pattern of thinking moves in the opposite direction as compared to inductive reasoning, which means that it uses a general principle or law to predict specific results. From those general principles, a scientist can deduce and predict the specific results that would be valid as long as the general principles are valid.
For example, a researcher can deduce specific predictions...
55.3K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Synthesis of near-infrared fluorescent rhodamines via an S<sub>N</sub>Ar<sup>H</sup> reaction and their biological applications.

Organic & biomolecular chemistry·2018
Same author

Exome-wide analysis identifies three low-frequency missense variants associated with pancreatic cancer risk in Chinese populations.

Nature communications·2018
Same author

Inhibition of kinesin family member 20B sensitizes hepatocellular carcinoma cell to microtubule-targeting agents by blocking cytokinesis.

Cancer science·2018
Same author

Specific Salt Effect on the Interaction between Rare Earth Ions and Trioctylphosphine Oxide Molecules at the Organic-Aqueous Two-Phase Interface: Experiments and Molecular Dynamics Simulations.

Langmuir : the ACS journal of surfaces and colloids·2018
Same author

Low-repetition-rate all-fiber integrated optical parametric oscillator for coherent anti-Stokes Raman spectroscopy.

Optics express·2018
Same author

Controlled generation of ultrafast vector vortex beams from a mode-locked fiber laser.

Optics letters·2018
Same journal

Q-learning based asynchronous Boolean control networks stabilization with data loss.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

New results on prescribed-time synchronization of complex networks via intermittent control.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

Variance-constrained multi-view ensemble broad network for imbalanced data.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

Dynamic analysis and reliable mechanical optimization application of ring HNN effected with a memristive neuron.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

DAFF-Net: A detection and search method for small-scale low surface brightness galaxies.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

Quasi-synchronization for complex networks with hybrid pinning intermittent control.

Neural networks : the official journal of the International Neural Network Society·2026
查看所有相关文章

相关实验视频

Updated: Jul 1, 2025

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

3.8K

基于图形的社会关系推断,具有多层次的有条件注意力.

Xiaotian Yu1, Hanling Yi1, Qie Tang1

  • 1Department of AI Technology Center, Shenzhen Intellifusion Ltd., China.

Neural networks : the official journal of the International Neural Network Society
|March 5, 2024
PubMed
概括
此摘要是机器生成的。

研究人员开发了一种新的基于图形的关系推理变压器 (GRIT) 用于社会关系推理. 这种方法使用多级条件注意 (MUCA) 来显著提高理解图像中的人类互动的准确性.

关键词:
多层次的有条件注意力社会关系推断推断社会关系推断变压器 变压器 变压器

更多相关视频

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers
12:39

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers

Published on: January 18, 2020

7.6K
Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
13:00

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Published on: January 23, 2017

9.9K

相关实验视频

Last Updated: Jul 1, 2025

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

3.8K
A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers
12:39

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers

Published on: January 18, 2020

7.6K
Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
13:00

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Published on: January 23, 2017

9.9K

科学领域:

  • 计算机视觉 计算机视觉
  • 人工智能的人工智能
  • 机器学习 机器学习

背景情况:

  • 从图像中推断社会关系需要先进的语义理解.
  • 现有的方法往往侧重于对象检测,限制细微的关系分析.
  • 对场景,物体和相互作用的适应性注意力对于准确的推断至关重要.

研究的目的:

  • 为社会关系推断引入一种新的多级条件注意力 (MUCA) 机制.
  • 开发一个有效的变压器式网络,即基于图的关系推理变压器 (GRIT),用于实施MUCA.
  • 使用拟议的方法,超越现有的社会关系推断方法.

主要方法:

  • 提出了一种多层次的有条件注意力 (MUCA) 机制,该机制考虑每个人对的场景,物体和人类互动.
  • 开发了基于图的关系推理变压器 (GRIT),一种新的网络架构.
  • 格里特包括一个条件查询模块 (CQM),用于生成关系查询,以及一个关系注意模块 (RAM),利用变压器式的多层次注意.

主要成果:

  • 拟议的GRIT模型在两个基准数据集上显著优于现有方法.
  • 在PIPA数据集上实现了7.8%的性能改善,在PISC数据集上达到9.6%.
  • 证明了多层次条件注意力对社会关系推断的有效性.

结论:

  • 格里特是第一个采用多层次条件注意的模型,用于社会关系推断.
  • 拟议的方法提供了对图像中的社会动态的更全面的理解.
  • 格里特为社会关系推理任务提供了一个强大而准确的框架.