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

Cluster Sampling Method01:20

Cluster Sampling Method

11.6K
Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
11.6K
Parallel Processing01:20

Parallel Processing

141
The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
141
One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation01:24

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation

286
This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
On...
286
Survival Tree01:19

Survival Tree

48
Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
 Building a Survival Tree
Constructing a...
48
Machines: Problem Solving II01:30

Machines: Problem Solving II

275
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.
275
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

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

MIMO: an efficient tool for molecular interaction maps overlap.

BMC bioinformatics·2013
Same author

Nanofibers with very fine core-shell morphology from anisotropic micelle of amphiphilic crystalline-coil block copolymer.

ACS nano·2013
Same author

Cytotoxic and genotoxic effects of silver nanoparticles on primary Syrian hamster embryo (SHE) cells.

Journal of nanoscience and nanotechnology·2013
Same author

Antitumor activity of caffeic acid 3,4-dihydroxyphenethyl ester and its pharmacokinetic and metabolic properties.

Phytomedicine : international journal of phytotherapy and phytopharmacology·2013
Same author

Mitochondrial genome sequences of Artemia tibetiana and Artemia urmiana: assessing molecular changes for high plateau adaptation.

Science China. Life sciences·2013
Same author

Do hyperechoic thyroid nodules on B-ultrasound represent calcification?

The Journal of international medical research·2013
Same journal

Dynamic analysis and reliable mechanical optimization application of ring HNN effected with a memristive neuron.

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

DAFF-Net: A detection and search method for small-scale low surface brightness galaxies.

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

Quasi-synchronization for complex networks with hybrid pinning intermittent control.

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

Physics-encoded convolutional neural operators for parametric PDEs: A convergence-guaranteed framework via pre-computed kernel fields.

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

Exploiting audio-visual modalities in videos: Object detection via multi-stage bilateral coupling network.

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

Reliability-aware modality completion with cross-modal distillation for federated learning with missing modalities.

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: May 20, 2025

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
12:27

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

6.9K

重启了多个内核算法,用于大规模的多视图集群,具有自动引导.

Yongyan Guo1, Gang Wu1

  • 1School of Mathematics, China University of Mining and Technology, Xuzhou, 221116, Jiangsu, PR China.

Neural networks : the official journal of the International Neural Network Society
|March 25, 2025
PubMed
概括
此摘要是机器生成的。

本研究引入了一种新的重启的多视图聚类框架,可以有效地构建相似性矩阵. 该方法显著提高了集群性能,为现有算法提供了实质性的改进,计算成本最小.

关键词:
区块对角线对象表示多视图光谱聚类多视图光谱聚类.多个内核的方法.重启了算法,重新启动了算法.自动导航的自动导航系统总和比数多视图Ncut (SRMvN) 的一个例子.

更多相关视频

ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data
05:12

ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data

Published on: January 16, 2019

11.3K
Lineage Tracing and Clonal Analysis in Developing Cerebral Cortex Using Mosaic Analysis with Double Markers MADM
09:25

Lineage Tracing and Clonal Analysis in Developing Cerebral Cortex Using Mosaic Analysis with Double Markers MADM

Published on: May 8, 2020

10.5K

相关实验视频

Last Updated: May 20, 2025

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
12:27

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

6.9K
ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data
05:12

ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data

Published on: January 16, 2019

11.3K
Lineage Tracing and Clonal Analysis in Developing Cerebral Cortex Using Mosaic Analysis with Double Markers MADM
09:25

Lineage Tracing and Clonal Analysis in Developing Cerebral Cortex Using Mosaic Analysis with Double Markers MADM

Published on: May 8, 2020

10.5K

科学领域:

  • 数据科学数据科学数据科学
  • 机器学习 机器学习
  • 人工智能的人工智能

背景情况:

  • 多视图集群方法经常在适应性地捕捉不同数据视图之间的关系方面扎.
  • 现有的使用固定或交替更新的相似度矩阵的光谱聚类技术对于大型数据集而言,在计算上昂贵或低效.

研究的目的:

  • 通过提出一个有效的框架来解决当前多视角光谱聚类方法的局限性.
  • 开发一个模型,以廉价的方式构建多视图相似度矩阵,同时保留集群见解.

主要方法:

  • 引入了一个Sum-Ratio多视图规范切割 (Ncut) 模型,并嵌入了共享表示.
  • 提出了一个重新启动的多视图多核集群框架,具有自导能力.
  • 利用具有严格块对角表示和高效多个内核选择技术的相似度矩阵.

主要成果:

  • 建议重新启动的算法显示出显著的性能改进,在一些流行的多视图集群方法中,结果提高了5-10倍.
  • 该框架有效地增强了最先进的多视图集群算法,特别是那些初始性能较低的算法.
  • 对基准数据集的实验证实了拟议方法的效率和有效性,即使是随机初始化.

结论:

  • 开发的框架提供了一个具有成本效益的解决方案,以提高多视图集群的性能.
  • 这种方法为各种多视图集群算法提供了有价值的增强效应,提高了它们发现底层数据结构的能力.
  • 该方法成功地平衡了计算效率与在多个数据视图中保留关键集群信息的平衡.