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

Downsampling01:20

Downsampling

158
When considering a sampled sequence with zero values between sampling instants, one can replace it by taking every N-th value of the sequence. At these integer multiples of N, the original and sampled sequences coincide. This process, known as decimation, involves extracting every N-th sample from a sequence, thereby creating a more efficient sequence.
The Fourier transform of the decimated sequence reveals a combination of scaled and shifted versions of the original spectrum. This...
158
Upsampling01:22

Upsampling

237
Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
237
Extraction: Partition and Distribution Coefficients01:14

Extraction: Partition and Distribution Coefficients

2.4K
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...
2.4K
Estimation of the Physical Quantities01:05

Estimation of the Physical Quantities

4.3K
On many occasions, physicists, other scientists, and engineers need to make estimates of a particular quantity. These are sometimes referred to as guesstimates, order-of-magnitude approximations, back-of-the-envelope calculations, or Fermi calculations. The physicist Enrico Fermi was famous for his ability to estimate various kinds of data with surprising precision. Estimating does not mean guessing a number or a formula at random. Instead, estimation means using prior experience and sound...
4.3K
Choosing Between z and t Distribution01:25

Choosing Between z and t Distribution

2.8K
The z and the Student t distribution estimate the population mean using the sample mean and standard deviation. However, to decide which distribution to use for a calculation, one needs to determine the sample size, the nature of the distribution, and whether the population standard deviation is known. If the population standard deviation is known and the population is normally distributed, or if the sample size is greater than 30, the z distribution is preferred. The Student t distribution is...
2.8K
Weighted Mean00:57

Weighted Mean

5.2K
While taking the arithmetic, geometric, or harmonic mean of a sample data set, equal importance is assigned to all the data points. However, all the values may not always be equally important in some data sets. An intrinsic bias might make it more important to give more weightage to specific values over others.
For example, consider the number of goals scored in the matches of a tournament. While computing the average number of goals scored in the tournament, it may be more important to...
5.2K

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

Safety, tolerability, pharmacokinetics, pharmacodynamics, and immunogenicity of STSA-1002, recombinant anti-human C5a fully human monoclonal antibody, in a randomized, first-in-human phase I study in healthy adults.

Frontiers in pharmacology·2026
Same author

Large-Eddy Simulation of the FDA Benchmark Blood Pump: Validation Against Experiments and Implications for Turbulent Flow Mechanisms.

Artificial organs·2026
Same author

Mechanisms and treatments of lymphedema.

Frontiers in immunology·2026
Same author

Vunakizumab for Radiographic Axial Spondyloarthritis: A Randomized Clinical Trial.

JAMA network open·2026
Same author

Design, synthesis and biological evaluation of selective inhibitors against the L858R/T790 M/C797S mutant EGFR kinase based on the scaffold of brigatinib.

European journal of medicinal chemistry·2026
Same author

Task-driven infrared and visible image fusion via detail and semantic dual injection.

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

Mask-guided Asymmetric Contrastive and Semantic Alignment for Unsupervised Person Re-Identification.

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

Hyperbolic Cycle Alignment for Infrared-Visible Image Fusion.

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

Learning Gaze Synthesizer via 3D-eye Controlled Diffusion and Cross-domain Feature Alignment.

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

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 journal

DiffRES: Unleashing Text-to-Image Diffusion Models for Generative Referring Expression Segmentation without Information Leakage.

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

Location Matters: Frequency-Spatial Dual Space Adaptation for Cross-Domain Few-Shot Segmentation.

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: Jul 4, 2025

Deep Neural Networks for Image-Based Dietary Assessment
13:19

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

9.2K

度优化的深度权重产品量化用于图像检索.

Lingchen Gu, Ju Liu, Xiaoxi Liu

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
    |February 1, 2024
    PubMed
    概括
    此摘要是机器生成的。

    度优化深度加权产品量化 (EOWPQ) 通过灵活地用加权代码词编码样本来改善图像检索. 这种方法平衡了代码词表示和赋值,提高了整体性能.

    更多相关视频

    Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
    04:48

    Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

    Published on: November 30, 2022

    2.8K
    Quantifying Intermembrane Distances with Serial Image Dilations
    07:45

    Quantifying Intermembrane Distances with Serial Image Dilations

    Published on: September 28, 2018

    6.4K

    相关实验视频

    Last Updated: Jul 4, 2025

    Deep Neural Networks for Image-Based Dietary Assessment
    13:19

    Deep Neural Networks for Image-Based Dietary Assessment

    Published on: March 13, 2021

    9.2K
    Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
    04:48

    Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

    Published on: November 30, 2022

    2.8K
    Quantifying Intermembrane Distances with Serial Image Dilations
    07:45

    Quantifying Intermembrane Distances with Serial Image Dilations

    Published on: September 28, 2018

    6.4K

    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:

    • 深度学习通过散列和量子化显著提高了大规模的图像检索.
    • 深度产品量化 (DPQ) 方法正在获得关注,但在代码词表示和平衡分配方面面临挑战.
    • 当前的DPQ方法经常遭受不平衡的代码词表示,导致冗余或不足,并降低了检索性能.

    研究的目的:

    • 提出一种新的深度产品量化方法,即透优化深度权重产品量化 (EOWPQ),以提高表示能力和平衡代码字赋值.
    • 提高代码单词的表示能力,并确保平衡的分配,以便更好地检索图像.
    • 通过灵活的编码方法,在代码词中保持语义信息.

    主要方法:

    • 使用线性加权代码单词总和编码样本,为传统的单个代码单词分配提供灵活的替代方案.
    • 建立加权代码词和语义标签之间的线性关系,以保存语义信息.
    • 使用最佳运输理论最大化编码概率分布的,以实现平衡的代码词分配和优化表示能力.

    主要成果:

    • 与现有方法相比,EOWPQ在三个基准数据集上展示了优异的检索性能.
    • 拟议的方法显示了代码词的表示能力的显著改进.
    • EOWPQ有效地平衡了代码单词的分配,减轻了冗余和不足的问题.

    结论:

    • EOWPQ提供了一种新且有效的方法,用于用于大规模图像检索的深度产品量化.
    • 该方法通过改进代码词表示和实现平衡的分配,成功地解决了传统DPQ的局限性.
    • EOWPQ提供了一个强大的框架,可以提高图像检索的准确性和效率.