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

Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

152
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...
152
Classification of Systems-II01:31

Classification of Systems-II

242
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,
242
Classification of Systems-I01:26

Classification of Systems-I

319
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:
319
What is a Mode?01:07

What is a Mode?

19.9K
The mode is one of the commonly used measures of a central tendency. It is defined as the most frequent value in a data set.
There can be more than one mode in a data set if multiple values have the same highest frequency. For instance, suppose that the Statistics exam scores of 20 students are: 50; 53; 59; 59; 63; 63; 72; 72; 72; 72; 72; 76; 78; 81; 83; 84; 84; 84; 90; 93. Here, the mode is 72, as it occurs most frequently, five times.
A data set with two modes is called bimodal. For example,...
19.9K
Classification of Signals01:30

Classification of Signals

915
In signal processing, signals are classified based on various characteristics: continuous-time versus discrete-time, periodic versus aperiodic, analog versus digital, and causal versus noncausal. Each category highlights distinct properties crucial for understanding and manipulating signals.
A continuous-time signal holds a value at every instant in time, representing information seamlessly. In contrast, a discrete-time signal holds values only at specific moments, often denoted as x(n), where...
915
Force Classification01:22

Force Classification

1.7K
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,...
1.7K

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

Safe-RTSKF: A Safety-Constrained Recursive Two-Stage Kalman Filter for Robust Sensor State Estimation in Strongly Nonlinear Systems.

Sensors (Basel, Switzerland)·2026
Same author

Atmospheric pressure plasma promotes T lymphocytes activation.

Bioelectrochemistry (Amsterdam, Netherlands)·2026
Same author

An Extended Kalman Filter with Remainder Terms and Correlation Compensation for Nonlinear State Monitoring and Soft Sensing.

Sensors (Basel, Switzerland)·2026
Same author

Does genome size drive the pH-related shifts in bacterial biodiversity within forest soils?

Frontiers in microbiology·2026
Same author

A low-light image enhancement network with attention and cross-branch interaction for real-world low-illumination scenes.

Scientific reports·2026
Same author

Dual-Site Catalytic Interfaces Synergistically Boost Desolvation and Redox Kinetics in Zinc-Ion Batteries.

Advanced materials (Deerfield Beach, Fla.)·2026

相关实验视频

Updated: Sep 17, 2025

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

692

一种基于在小标记样本环境中多模式增强的半监督学习分类的新方法.

Yuxuan Liu1, Chenglin Wen2

  • 1School of Automation, Guangdong University of Petrochemical Technology, Maoming, 510006, China.

Scientific reports
|July 2, 2025
PubMed
概括

这项研究引入了一种新的半监督学习方法,用于图像分类. 它通过使用多模式增强和改进的伪标签来提高对有限或低质量的未标记数据的概括性能.

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:

  • 半监督学习 (SSL) 通过利用未标记的数据来解决标记数据的稀缺性.
  • 当前的SSL方法通常在没有标签的数据稀缺或质量差时,与一般化作斗争.

研究的目的:

  • 提出一种新的半监督图像分类方法,适用于小规模和低质量的未标记数据.
  • 在具有挑战性的数据条件下增强半监督学习模型的概括能力.

主要方法:

  • 使用基于不确定性的选 (预测信心和偏差) 来生成高质量的伪标签.
  • 实施多模式数据增强策略:类内随机增强和类间混合增强.
  • 引入一个伪标签一致度指标来完善模型概括.

主要成果:

  • 拟议的方法在STL-10和CIFAR-10数据集上显著优于现有的主流方法.
  • 在局限无标签数据和不匹配样本的场景中表现出优异的概括性能.

结论:

  • 开发的多模式增强方法有效地减轻了缺乏不标签数据质量和数量的负面影响.
  • 该方法提供了一个有前途的解决方案,用于在实际,数据受限制的环境中进行强大的半监督图像分类.

更多相关视频

Defining the Role Of Language in Infants' Object Categorization with Eye-tracking Paradigms
07:31

Defining the Role Of Language in Infants' Object Categorization with Eye-tracking Paradigms

Published on: February 8, 2019

6.7K
Cross-Modal Multivariate Pattern Analysis
13:51

Cross-Modal Multivariate Pattern Analysis

Published on: November 9, 2011

20.1K

相关实验视频

Last Updated: Sep 17, 2025

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

692
Defining the Role Of Language in Infants' Object Categorization with Eye-tracking Paradigms
07:31

Defining the Role Of Language in Infants' Object Categorization with Eye-tracking Paradigms

Published on: February 8, 2019

6.7K
Cross-Modal Multivariate Pattern Analysis
13:51

Cross-Modal Multivariate Pattern Analysis

Published on: November 9, 2011

20.1K