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

2.5K
2.5K
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

93
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...
93
Differential Leveling01:12

Differential Leveling

115
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...
115
Extraction: Advanced Methods00:56

Extraction: Advanced Methods

398
Metal ions can be separated from one another by complexation with organic ligands–the chelating agent– to form uncharged chelates. Here, the chelating agent must contain hydrophobic groups and behave as a weak acid, losing a proton to bind with the metal. Since most organic ligands used in this process are insoluble or undergo oxidation in the aqueous phase, the chelating agent is initially added to the organic phase and extracted into the aqueous phase. The metal-ligand complex is...
398
Extraction: Partition and Distribution Coefficients01:14

Extraction: Partition and Distribution Coefficients

1.7K
The distribution law or Nernst's distribution law is the law that governs the distribution of a solute between two immiscible solvents. This law, also known as the partition law, states that if a solute is added to the mixture of two immiscible solvents at a constant temperature, the solute is distributed between the two solvents in such a way that the ratio of solute concentrations in the solvents remains constant at equilibrium.
For extracting a solute from an aqueous phase into an...
1.7K
The Anchoring-and-Adjustment Heuristic01:25

The Anchoring-and-Adjustment Heuristic

7.2K
In order to make good decisions, we use our knowledge and our reasoning. Often, this knowledge and reasoning is sound and solid. However, sometimes, we are swayed by biases or by others manipulating a situation. For example, let’s say you and three friends wanted to rent a house and had a combined target budget of $1,600. The realtor shows you only very run-down houses for $1,600 and then shows you a very nice house for $2,000. Might you ask each person to pay more in rent to get the...
7.2K

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

Genomic characterization of multidrug-resistant Escherichia coli isolated from gills of Labeo rohita: Insight into resistome, virulence and pathogenicity.

PloS one·2026
Same author

YATSIDroid: an android malware detection framework based on artificial immune system.

Scientific reports·2026
Same author

Study of interfacial synergy in strontium-based organic framework/polyaniline/nanoporous graphene ternary composite as positive electrode for battery-supercapacitor hybrid devices.

RSC advances·2026
Same author

Palladium anchored to magnetic silica functionalized with AP groups as a novel and efficient heterogeneous catalyst for C-C coupling reactions.

Scientific reports·2026
Same author

Correction: An efficient Alzheimer's disease detection by NV classifier with BWTDL approach using MRI image.

BMC medical imaging·2026
Same author

A prospective review of transfusion practices in paediatric trauma patients at level 1 trauma centre.

Injury·2026
Same journal

Change-Prior-Guided Unsupervised Change Detection of Heterogeneous Remote Sensing Images.

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

AgonicDreamer: Enhancing Multi-View Consistency in Text-to-3D Generation via Rectified Score Distillation.

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

BiCM-Prompt: Bidirectional Cross-Modal Prompt Tuning for Class-Incremental Learning on Multisource Remote Sensing Images.

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

GoP-based Quality Enhancement on Video Compression.

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

Align then Tensorize: Multi-Level Consistent Anchor Graph Learning for Scalable Multi-View Clustering.

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

Beyond Fidelity: Diverse Image Synthesis via Retrieval-Augmented Diffusion.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
查看所有相关文章

相关实验视频

Updated: May 24, 2025

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
09:09

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody

Published on: September 27, 2024

385

利用混合调整为多源域调整的混合调整.

Aveen Dayal, S Shrusti, Linga Reddy Cenkeramaddi

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
    |March 3, 2025
    PubMed
    概括
    此摘要是机器生成的。

    这项研究介绍了MDAMA,一种用于多源域适应 (MDA) 的新型对抗性学习算法. MDAMA有效地将多个源域与目标域对齐,改善知识传输,并在基准数据集上实现最高性能.

    更多相关视频

    Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
    04:48

    Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

    Published on: July 5, 2024

    348
    Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
    03:14

    Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

    Published on: December 6, 2024

    475

    相关实验视频

    Last Updated: May 24, 2025

    Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
    09:09

    Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody

    Published on: September 27, 2024

    385
    Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
    04:48

    Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

    Published on: July 5, 2024

    348
    Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
    03:14

    Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

    Published on: December 6, 2024

    475

    科学领域:

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

    背景情况:

    • 传统域调整 (DA) 通常涉及一个源域和一个目标域.
    • 现实世界的应用程序通常需要从多个来源转移知识到一个单一的目标,这个问题被称为多源域调整 (MDA).
    • 现有的基于对抗的MDA方法面临局限性,包括需要对分类器有意识的指标和对目标样本一致性和语义信息的考虑不足.

    研究的目的:

    • 提出一种新的对抗性学习算法MDAMA,以应对多源域适应 (MDA) 的挑战.
    • 通过将目标域与多个源域的混合分布对齐来增强知识转移.
    • 通过增强的域调整,目标样本一致性和语义信息传输来提高目标域性能.

    主要方法:

    • MDAMA使用对抗式学习框架从多个来源转移知识到目标领域.
    • 该算法使用基于边际的差异和增强的中间分布来实现有效的域调整.
    • 通过信任值来实现目标样本的一致性,并将语义信息从源传输到增强目标域.

    主要成果:

    • MDAMA 证明了目标域与源域混合的有效对齐.
    • 提出的方法成功地结合了目标样本的一致性和语义信息传输.
    • 在基准数据集 (OfficeHome,Office31,PACS,Office-Caltech,DomainNet) 上进行了广泛的实验,显示出最高的性能.

    结论:

    • 通过解决以前对抗方法的局限性,MDAMA为多源域适应 (MDA) 提供了一个强大的解决方案.
    • 该算法有效地将知识从多个来源转移到目标域,提高性能.
    • 在广泛使用的MDA基准数据集上,MDAMA取得了最先进的结果.