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

Improving Translational Accuracy02:07

Improving Translational Accuracy

9.6K
Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
9.6K
Multicompartment Models: Overview01:14

Multicompartment Models: Overview

118
Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
118
Cluster Sampling Method01:20

Cluster Sampling Method

11.8K
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...
11.8K
Aggregates Classification01:29

Aggregates Classification

310
Aggregate classification is generally based on its size, petrographic characteristics, weight, and source. Size classification ranges from coarse to fine aggregates, defined by the size of the particles. Coarse aggregates are particles that do not pass through ASTM sieve No. 4, and aggregates that pass through the sieve are fine aggregates.
Petrographic classification groups aggregates based on common mineralogical characteristics. Some of the common mineral groups found in aggregates are...
310
Associative Learning01:27

Associative Learning

324
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...
324
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

105
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
105

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

[Study on the target movement in external-beam partial breast irradiation with active breathing control after breast-conserving surgery].

Zhonghua zhong liu za zhi [Chinese journal of oncology]·2008
Same author

Embedded ring resonators for microphotonic applications.

Optics letters·2008
Same author

No association between epidermal growth factor and epidermal growth factor receptor polymorphisms and nasopharyngeal carcinoma.

Cancer genetics and cytogenetics·2008
Same author

Hazardous chemicals in synthetic turf materials and their bioaccessibility in digestive fluids.

Journal of exposure science & environmental epidemiology·2008
Same author

Mechanisms of microRNA deregulation in human cancer.

Cell cycle (Georgetown, Tex.)·2008
Same author

Trends in suicide by poisoning in China 2000-2006: age, gender, method, and geography.

Biomedical and environmental sciences : BES·2008

相关实验视频

Updated: Jun 17, 2025

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
12:27

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

6.9K

通过对比的多视图集群的最佳传输来学习通用语义.

Qian Zhang, Lin Zhang, Ran Song

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
    |August 8, 2024
    PubMed
    概括

    本研究介绍了通过最佳传输 (CSOT) 进行多视图集群的共同语义. CSOT通过在所有数据视图中对齐语义来增强表示学习,实现最先进的集群性能.

    科学领域:

    • 机器学习 机器学习
    • 数据科学数据科学数据科学
    • 计算机视觉 计算机视觉

    背景情况:

    • 多视图集群方法利用对比学习来解决数据视图之间的表示差距.
    • 现有的方法往往无法在全球范围内调整语义,可能会削弱潜在的语义模式.
    • 在所有视图中统一的语义理解对于强大的多视图集群至关重要.

    研究的目的:

    • 通过最佳传输 (CSOT) 引入通用语义,这是一种用于增强对比的多视图集群的新方法.
    • 开发一个框架,将多个数据视图集成到一个共同的语义空间.
    • 改进从多视图数据中学习一致和歧视性表示.

    主要方法:

    • CSOT利用最佳运输将样本从多个视图映射到联合集群中,代表全球多视图语义模式.
    • 一个语义学习模块使用来自最佳传输的软赋值向量作为一致语义学习的全球监督.
    • 一个有语义意识的重权重组策略优先考虑基于其语义意义的样本,以改善对比学习.

    主要成果:

    • CSOT有效地将来自多个视图的信息集成到一个共同的语义空间中.
    • 语义学习模块和重权重策略提高了跨视图学习语义的一致性.
    • 实验结果证实,CSOT在多视图集群任务中实现了最先进的性能.

    更多相关视频

    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

    2.5K
    Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
    08:25

    Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

    Published on: May 7, 2019

    8.9K

    相关实验视频

    Last Updated: Jun 17, 2025

    Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
    12:27

    Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

    Published on: February 15, 2017

    6.9K
    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

    2.5K
    Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
    08:25

    Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment

    Published on: May 7, 2019

    8.9K

    结论:

    • CSOT提供了一种新的多视图集群方法,通过最佳传输来整合全球语义对齐.
    • 该方法成功地解决了以前技术在捕获全面的多视图语义方面的局限性.
    • CSOT表现出卓越的表现,为多视图集群建立了一个新的基准.