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

Gradient and Del Operator01:14

Gradient and Del Operator

3.0K
In mathematics and physics, the gradient and del operator are fundamental concepts used to describe the behavior of functions and fields in space. The gradient is a mathematical operator that gives both the magnitude and direction of the maximum spatial rate of change. Consider a person standing on a mountain. The slope of the mountain at any given point is not defined unless it is quantified in a particular direction. For this reason, a "directional derivative" is defined, which is a vector...
3.0K
Instrumentation Amplifier01:25

Instrumentation Amplifier

712
An electrocardiography (ECG) machine is an essential piece of medical equipment used to monitor the electrical activity of the heart. It operates by detecting small electrical changes on the skin that result from the depolarization of the heart muscle during each heartbeat. However, these signals are in the microvolt range and can be easily overwhelmed by noise or interference.
To overcome this challenge, an ECG machine utilizes an instrumentation amplifier. This specialized amplifier is...
712
Improving Translational Accuracy02:07

Improving Translational Accuracy

11.9K
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...
11.9K

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

Solvation Chemistry Reimagined: LiPF6-Enabled Suppression of Gas Evolution for Ultra-Stable 200 Ah Anode-Free Lithium-Metal Batteries.

Advanced materials (Deerfield Beach, Fla.)·2026
Same author

Frequency-based temperature determination for a passively insulated cryogenic sapphire cavity via thermal transfer modeling.

Optics express·2026
Same author

An <i>in situ</i> image-based phenotyping system for hydroponic maize seedling roots based on DB-UNet and customized skeleton-based analysis.

Frontiers in plant science·2026
Same author

Identification and Experimental Verification of Key Genes Related to the Ras Signaling Pathway and the Hippo Signaling Pathway in Osteoarthritis Based on Transcriptome Data.

The journal of gene medicine·2026
Same author

CeF<sub>3</sub>/Co<sub>3</sub>O<sub>4</sub> heterojunction enabled reconstruction regulation for selective and efficient electrocatalytic cleavage of the lignin C<sub>β</sub>-O-4 linkage.

Chemical communications (Cambridge, England)·2026
Same author

Enhancement of biological activity and volatile organic compounds of sunflower bee pollen via mixed Lactobacillus fermentation.

Journal of the science of food and agriculture·2026
Same journal

Anchor-based disentanglement framework for incremental multi-view clustering.

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

Complex-valued amplitude-phase interference modeling for adversarially robust classification.

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

TraNce: Type-aware hypergraph neural network with biological mediators for drug repositioning.

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

Decentralized ADMM for factorization-based Low-rank matrix estimation.

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

Memristive neuromorphic circuit design inspired by the neural mechanisms of conditioned fear.

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

Q-learning based asynchronous Boolean control networks stabilization with data loss.

Neural networks : the official journal of the International Neural Network Society·2026
查看所有相关文章

相关实验视频

Updated: Sep 16, 2025

Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects
10:16

Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects

Published on: February 8, 2014

12.4K

梯度放大用于基于梯度匹配的数据集蒸梯度放大.

Jingxuan Zhang1, Zhihua Chen1, Lei Dai1

  • 1Department of Computer Science and Engineering, East China University of Science and Technology, Shanghai, 200237, China.

Neural networks : the official journal of the International Neural Network Society
|July 9, 2025
PubMed
概括
此摘要是机器生成的。

数据集蒸 (DD) 创建更小的数据集用于训练机器学习模型. 这种新方法通过使用标签周期转移来提高性能,以获得更丰富的梯度信息.

关键词:
数据集的蒸.数据组合组合数据集梯度匹配的匹配 梯度匹配图像的分类图像的分类.

更多相关视频

A Gradient-generating Microfluidic Device for Cell Biology
11:05

A Gradient-generating Microfluidic Device for Cell Biology

Published on: August 30, 2007

15.5K
Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
08:27

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

Published on: January 5, 2024

1.3K

相关实验视频

Last Updated: Sep 16, 2025

Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects
10:16

Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects

Published on: February 8, 2014

12.4K
A Gradient-generating Microfluidic Device for Cell Biology
11:05

A Gradient-generating Microfluidic Device for Cell Biology

Published on: August 30, 2007

15.5K
Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
08:27

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

Published on: January 5, 2024

1.3K

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:

  • 数据集蒸 (DD) 旨在创建紧的数据集,保留在更大的数据集上训练的模型的性能.
  • 现有的DD梯度匹配 (GM) 框架存在局限性,主要是因为它没有考虑错误标签上的模型不确定性.

研究的目的:

  • 开发一个新的数据集蒸框架,产生更有信息的梯度信息.
  • 与以前的方法相比,提高数据集蒸的效率和有效性.

主要方法:

  • 利用预先训练的网络进行标签循环转移,在交叉损失反向传播过程中产生多样化的梯度.
  • 纳入早期退出机制以实现更快的趋同,并采用带有指数移动平均线的整体方法.
  • 引入与总匹配函数匹配的分布匹配,以增强梯度匹配.

主要成果:

  • 拟议的方法优于以前的数据集蒸技术,在更少的训练代中实现可比的模型准确性.
  • 证明梯度匹配和分布匹配协同增强性能.
  • 在CIFAR10,CIFAR100,TinyImageNet和ImageNet子集上的实验验证证证了该方法的有效性.

结论:

  • 新的框架通过使用标签循环转移和改进的梯度匹配,有效地提高了数据集蒸.
  • 这种方法提供了一种更有效,更强大的方法来创建蒸数据集.
  • 未来的工作可以探索这种增强的DD技术的进一步优化和应用.