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

Tagging and Fusion Proteins01:24

Tagging and Fusion Proteins

6.6K
Proteins are involved in several cellular processes and biochemical reactions. Analyzing a specific protein of interest requires it to be isolated from the other proteins in the cell. This is achieved by overexpressing the specific gene in a suitable host to produce large quantities of the target protein. A tag or label is recombined with the gene to produce a fusion protein containing the target protein and the tag. The tags on these fusion proteins can then be used for easy detection and...
6.6K
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

106
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...
106
Labeling DNA Probes03:31

Labeling DNA Probes

8.2K
DNA probes are fragments of DNA labeled with a reporter tag to enable their detection or purification. The resulting labeled DNA probes can then hybridize to target nucleic acid sequences through complementary base-pairing, and may be used to recover or identify these regions.
Radioisotopes, fluorophores, or small molecule binding partners like biotin or digoxigenin, are the most widely used reporter tags for labeling DNA probes. These labels can be attached to the probe DNA molecule via...
8.2K
Classification of Systems-II01:31

Classification of Systems-II

141
Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
141
Classification of Systems-I01:26

Classification of Systems-I

183
Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
183
Multicompartment Models: Overview01:14

Multicompartment Models: Overview

138
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,...
138

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

AdaptCMVC++: Robust and Flexible Adaptation to Incremental Views in Continual Multi-view Clustering.

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

A 44-min periodic radio transient in a supernova remnant.

Science bulletin·2026
Same author

CLASH-CTTA: Class-Wise Shift-Aware Hierarchical Continual Test-Time Adaptation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same author

Efficient Implementation of a Single-Qutrit Gate Set via Coherent Control.

Physical review letters·2026
Same author

A self-supervised depth-aware method for pose optimization in hybrid bronchoscopic navigation.

Scientific reports·2026
Same author

Learning forward-compatible and domain-invariant representations for cross-domain few-shot class-incremental learning.

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

相关实验视频

Updated: Jun 27, 2025

Using Light Sheet Fluorescence Microscopy to Image Zebrafish Eye Development
13:01

Using Light Sheet Fluorescence Microscopy to Image Zebrafish Eye Development

Published on: April 10, 2016

33.9K

L-VSM:为多视图多标签分类提供标签驱动视图特定融合.

Gengyu Lyu, Zhen Yang, Xiang Deng

    IEEE transactions on neural networks and learning systems
    |May 2, 2024
    PubMed
    概括

    本研究介绍了L-VSM,这是一种新的多视图多标签 (MVML) 分类方法,它绕过了共享子空间学习. 通过使用图表注意力和变压器,L-VSM有效地融合了视图特定特征,在MVML任务中表现优于现有的方法.

    科学领域:

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

    背景情况:

    • 多视图多标签 (MVML) 分类涉及具有异质特征和多个标签的实例.
    • 当前的MVML方法通常依赖于共享子空间表示,对标签特征的有效性有限.
    • 在MVML中共享子空间表示的有效性仍然是一个开放的研究问题.

    研究的目的:

    • 为MVML分类提出一种新的标签驱动的视图特定融合方法.
    • 开发一种直接编码个人视图特征用于分类器诱导的方法,绕过共享子空间学习.
    • 提高MVML任务中相关标签的表征.

    主要方法:

    • 拟议的L-VSM (标签驱动的视图特定融合) 方法用于MVML分类.
    • 为每个视图构建了标签驱动的特征图表,并将其集成到统一的图表中.
    • 采用图表注意力机制来聚合和更新特征节点,编码内部视图和内部视图信息.
    • 引入了用于动态语义意识标签图形构建的变压器架构.
    • 利用多标签软边际损失来得出实例标签亲和度.

    主要成果:

    • 与最先进的方法相比,L-VSM在广泛的MVML实验中取得了更高的性能.

    更多相关视频

    Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities
    07:13

    Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities

    Published on: October 27, 2023

    1.1K
    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

    9.0K

    相关实验视频

    Last Updated: Jun 27, 2025

    Using Light Sheet Fluorescence Microscopy to Image Zebrafish Eye Development
    13:01

    Using Light Sheet Fluorescence Microscopy to Image Zebrafish Eye Development

    Published on: April 10, 2016

    33.9K
    Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities
    07:13

    Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities

    Published on: October 27, 2023

    1.1K
    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

    9.0K
  • 拟议的方法有效地利用了视图特定特征和标签相关性.
  • 在各种MVML应用中进行的实验验证证证了该方法的有效性.
  • 结论:

    • 拟议的L-VSM方法为MVML分类提供了一种新且有效的方法.
    • 绕过共享子空间学习并直接编码视图特定特征可以提高模型性能.
    • 集成图表注意力和变压器为MVML任务提供了一个强大的框架.