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

Vector Representation of Complex Numbers01:16

Vector Representation of Complex Numbers

108
Complex numbers, represented in Cartesian coordinates, can also be visualized as vectors. These vectors can be expressed in polar form, emphasizing their magnitude and angle. When a complex number is input into a function, the output is another complex number, highlighting the function's zero point from which the vector representation can originate.
Consider a function defined as the product of the complex factors in the numerator divided by the product of the complex factors in the...
108
Stereotype Content Model02:16

Stereotype Content Model

14.0K
The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
14.0K
Associative Learning01:27

Associative Learning

300
Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
Classical conditioning, also known...
300
Vector Algebra: Method of Components01:08

Vector Algebra: Method of Components

13.7K
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...
13.7K
Cause and Effect01:53

Cause and Effect

10.9K
While variables are sometimes correlated because one does cause the other, it could also be that some other factor, a confounding variable, is actually causing the systematic movement in our variables of interest. For instance, as sales in ice cream increase, so does the overall rate of crime. Is it possible that indulging in your favorite flavor of ice cream could send you on a crime spree? Or, after committing crime do you think you might decide to treat yourself to a cone?
10.9K
Collisions in Multiple Dimensions: Problem Solving01:06

Collisions in Multiple Dimensions: Problem Solving

3.7K
In multiple dimensions, the conservation of momentum applies in each direction independently. Hence, to solve collisions in multiple dimensions, we should write down the momentum conservation in each direction separately. To help understand collisions in multiple dimensions, consider an example.
A small car of mass 1,200 kg traveling east at 60 km/h collides at an intersection with a truck of mass 3,000 kg traveling due north at 40 km/h. The two vehicles are locked together. What is the...
3.7K

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

SPP1 improves early risk assessment of postpartum adverse events in pulmonary arterial hypertension complicated with pregnancy.

European journal of obstetrics, gynecology, and reproductive biology·2026
Same author

Altered early-life gut microbiota in offspring of pregnancies complicated by CHD-associated pulmonary hypertension.

Frontiers in microbiomes·2026
Same author

Differentiating Acute-onset Autoimmune Hepatitis From Drug-Induced Autoimmune-like Hepatitis: A Multicenter Study and Score Development.

Clinical reviews in allergy & immunology·2026
Same author

Synergistic Effects of Normal-Range Serum Sodium and Potassium on Mortality: The Modifying Role of Inflammation From a NHANES Cohort Analysis.

Chronic diseases and translational medicine·2026
Same author

Impact of adjuvant breast radiotherapy on the risk and the survival of second primary lung cancer: a large population-based study.

Japanese journal of clinical oncology·2026
Same author

Prehabilitation before hip arthroscopy for femoroacetabular impingement syndrome: A randomised controlled trial.

Clinical rehabilitation·2026
Same journal

HardFlow: Hard-Constrained Sampling for Flow-Matching Models Via Trajectory Optimization.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Industrial Brain: Self-Evolving Neuro-Symbolic Autonomy with Causal Resilience for Cyber-Physical Systems.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Adaptive Hardness-Driven Dictionary Distillation for Incomplete Streaming View Clustering.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Mixture of Global and Local Experts with Diffusion Transformer for Controllable Face Generation.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Task-KV: Task-aware KV Cache Optimization via Semantic Differentiation of Attention Heads.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Achieving Text-based Person Retrieval with Any Granularity.

IEEE transactions on pattern analysis and machine intelligence·2026
查看所有相关文章

相关实验视频

Updated: Jun 9, 2025

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
08:12

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

Published on: March 1, 2022

2.4K

在复杂的空间中进行虚构连接的嵌入,用于看不见的属性-对象歧视.

Chenyi Jiang, Shidong Wang, Yang Long

    IEEE transactions on pattern analysis and machine intelligence
    |October 29, 2024
    PubMed
    概括
    此摘要是机器生成的。

    这项研究引入了一种新的构成式零射击学习 (CZSL) 方法,利用复杂的空间更好地模拟类似人类的属性理解. 该方法增强了对新型对象组合的识别能力.

    更多相关视频

    Creating Objects and Object Categories for Studying Perception and Perceptual Learning
    14:38

    Creating Objects and Object Categories for Studying Perception and Perceptual Learning

    Published on: November 2, 2012

    11.8K
    Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time
    07:12

    Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time

    Published on: July 1, 2014

    12.3K

    相关实验视频

    Last Updated: Jun 9, 2025

    A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
    08:12

    A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

    Published on: March 1, 2022

    2.4K
    Creating Objects and Object Categories for Studying Perception and Perceptual Learning
    14:38

    Creating Objects and Object Categories for Studying Perception and Perceptual Learning

    Published on: November 2, 2012

    11.8K
    Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time
    07:12

    Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time

    Published on: July 1, 2014

    12.3K

    科学领域:

    • 计算机科学 计算机科学
    • 人工智能的人工智能
    • 机器学习 机器学习

    背景情况:

    • 现有的组合式零射击学习 (CZSL) 方法难以模拟类似人类的组合理解.
    • 现实空间的局限性阻碍了属性,对象和组合之间的动态连接.

    研究的目的:

    • 开发一种CZSL方法,模仿人类认知能力来理解作曲.
    • 克服现实空间模型在捕捉动态属性对象依赖性的局限性.

    主要方法:

    • 将CZSL距离度量扩展到复杂空间,用于统一的属性,对象和组合度量.
    • 在复杂的空间中建立一个虚构连接的嵌入,以模拟属性理解.
    • 引入基于视觉偏差的属性提取模块,用于原型驱动的属性选择.

    主要成果:

    • 成功地将阶段信息纳入训练和推理,以表示属性对象依赖.
    • 保存了原始人的独立获取,同时建模了它们的相互依赖.
    • 在三个基准数据集上表现出高于基线方法的性能.

    结论:

    • 提出的复杂空间CZSL方法有效地模拟了类似人类的构成理解.
    • 该方法提供了一种更具活力和连接的方式来表示和识别新的作品.
    • 这项工作通过弥合计算模型和人类认知之间的差距来推进CZSL.