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

Complementation Tests00:49

Complementation Tests

6.4K
A complementation test is a simple cross to identify whether the two mutations are located on the same gene or different genes. It was first performed by Edward Lewis in the 1940s while working on fruit flies. He developed the test to identify the location and arrangement of different mutations on chromosomes.
Organisms heterozygous for different mutations are crossed pairwise in all combinations. If present on different genes, the mutations can complement each other by providing the missing...
6.4K
Collisions in Multiple Dimensions: Introduction01:05

Collisions in Multiple Dimensions: Introduction

7.1K
It is far more common for collisions to occur in two dimensions; that is, the initial velocity vectors are neither parallel nor antiparallel to each other. Let's see what complications arise from this. The first idea is that momentum is a vector. Like all vectors, it can be expressed as a sum of perpendicular components (usually, though not always, an x-component and a y-component, and a z-component if necessary). Thus, when the statement of conservation of momentum is written for a...
7.1K
Linear Approximation in Frequency Domain01:26

Linear Approximation in Frequency Domain

412
Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear....
412
Masking and Demasking Agents01:19

Masking and Demasking Agents

3.8K
EDTA titrations may necessitate masking and demasking agents to temporarily protect a particular metal ion in a mixture from the EDTA reaction. These agents facilitate the sequential analysis of the metal ions by forming stable complexes with some—but not all—metal ions during certain steps.
There are many masking agents, such as cyanide, fluoride, triethanolamine, thiourea, and 2,3-bis(sulfanyl)propan-1-ol (formerly 2,3-dimercapto-1-propanol), with the masking agent chosen based on...
3.8K
Associative Learning01:27

Associative Learning

1.7K
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...
1.7K
Force Classification01:22

Force Classification

2.6K
Forces play a crucial role in the study of physics and engineering. They are essential in describing the motion, behavior, and equilibrium of objects in the physical world. Forces can be classified based on their origin, type, and direction of action.
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
2.6K

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

Bridging ecological processes to elevated antibiotic resistance risk in tomato microbiome under fungicide stress.

The ISME journal·2026
Same author

Underlying Semantic Diffusion for Effective and Efficient In-Context Learning.

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

Exploring the Stochastic Regularisation in Normalisation Layers for Semi-Supervised Learning.

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

Intelligent multimodal-energy-driven piezoelectric antibacterial platforms: From structural control to system-level diagnosis.

Materials today. Bio·2026
Same author

SD<sup>2</sup>-SNN: Self-distillation and structural decomposition framework for SNNs in continual learning.

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

Embodied Spatial Affordance: Spatial-Aware Affordance Learning for Embodied Navigation and Manipulation.

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

相关实验视频

Updated: Mar 8, 2026

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

1.3K

频率空间补充:统一的特定频道的风格攻击跨领域的短拍学习.

Zhong Ji, Zhilong Wang, Xiyao Liu

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
    |March 28, 2025
    PubMed
    概括

    本研究引入了一种频率空间补充 (FSC) 模型,通过集成频率和空间领域来改进跨领域的短时间学习 (CD-FSL). FSC模型通过利用频域信息来增强概括性,以便更好地适应风格.

    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:

    • 跨领域少量射击学习 (CD-FSL) 在识别具有有限域外数据的目标方面面临挑战.
    • 现有的CD-FSL方法经常忽视频域对域概括的贡献,主要关注空间域增强.

    研究的目的:

    • 提出一种新的频率空间补充 (FSC) 模型,将频率和空间域信息整合在一起,以改进CD-FSL.
    • 增强模型捕获风格相关信息和学习域不变特征的能力.

    主要方法:

    • 开发了一个频率空间补充 (FSC) 模型,将频率和空间域信息结合起来.
    • 引入了一个频率和空间融合 (FusionFS) 模块,以改善风格信息的捕获.
    • 拟议的梯度引导统一风格攻击 (GUSA) 和特定频道攻击强度计算 (CAIC) 策略,用于生成多样化的训练数据.

    主要成果:

    • FSC模型在八个目标领域显示出显著的性能改善.
    • 拟议的攻击策略提供了更多样化的风格数据,特别有利于单源域情景.
    • FusionFS模块有效地增强了模型从风格变化中学习的能力.

    结论:

    更多相关视频

    Cross-Modal Multivariate Pattern Analysis
    13:51

    Cross-Modal Multivariate Pattern Analysis

    Published on: November 9, 2011

    20.6K

    相关实验视频

    Last Updated: Mar 8, 2026

    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

    1.3K
    Cross-Modal Multivariate Pattern Analysis
    13:51

    Cross-Modal Multivariate Pattern Analysis

    Published on: November 9, 2011

    20.6K
    • 集成频率和空间领域为推进CD-FSL提供了一个有希望的方向.
    • 拟议的FSC模型和攻击策略有效地解决了当前CD-FSL方法的局限性.
    • 该方法在对各种风格和领域的概括方面表现出强大的表现,但数据有限.