Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Associative Learning01:27

Associative Learning

1.3K
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...
1.3K
Structural Classification of Joints01:20

Structural Classification of Joints

7.0K
Joints, also known as articulations, are classified based on their structural characteristics, i.e., based on whether the articulating surfaces of the adjacent bones are directly connected by fibrous connective tissue or cartilage, or whether the articulating surfaces contact each other within a fluid-filled joint cavity. These differences serve to divide the joints of the body into three structural classifications.
A fibrous joint is where the adjacent bones are united by fibrous connective...
7.0K
Causes of Similarity-Dissimilarity Effect01:26

Causes of Similarity-Dissimilarity Effect

255
The similarity-dissimilarity effect, a fundamental concept in social psychology, explains how interpersonal similarities and differences influence attraction and social interactions. This effect is supported by three key psychological perspectives: balance theory, social comparison theory, and consensual validation.Balance Theory and Cognitive ConsistencyBalance theory, developed by Fritz Heider, posits that individuals seek cognitive consistency in their relationships. When two people share...
255
Observational Learning01:12

Observational Learning

843
Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning...
843
Collisions in Multiple Dimensions: Introduction01:05

Collisions in Multiple Dimensions: Introduction

6.5K
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...
6.5K
Introduction to Learning01:18

Introduction to Learning

972
Learning is the process of acquiring knowledge or skills through practice or experience, leading to long-lasting behavioral changes. This acquisition occurs through interaction with the environment and requires practice or experience. For instance, mastering a skill such as surfing requires considerable practice and experience, highlighting the essential role of repeated interactions with the environment in learning.
In contrast to learned behaviors, unlearned behaviors such as crying, sexual...
972

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Cross-modal transformer fusion via local sampling for drone RGB-infrared object detection.

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

Nestling Growth Strategies of Two Sympatric Rosefinch Species in a Tibetan Alpine Habitat.

Animals : an open access journal from MDPI·2026
Same author

Cell wall remodeling mediated banana-Bacillus velezensis interaction determines banana health during Foc 1 infection.

Pesticide biochemistry and physiology·2026
Same author

Tailoring knowledge for empowered cooperative actions in multi-agent reinforcement learning.

Neural networks : the official journal of the International Neural Network Society·2025
Same author

Learning feature relationships in CNN model via relational embedding convolution layer.

Neural networks : the official journal of the International Neural Network Society·2024
Same author

Learning to Holistically Detect Bridges From Large-Size VHR Remote Sensing Imagery.

IEEE transactions on pattern analysis and machine intelligence·2024
Same journal

A boundary-regularization-enhanced video anomaly detection network based on context-adaptive spatio-temporal conditional diffusion.

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

MT<sup>2</sup>-CSD and LLM-CRAN: A new dataset and an LLM-based multi-semantic knowledge fusion model for conversational stance detection.

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

TriAlignNet: A triple-path cross-modality alignment framework for multimodal time series forecasting.

Neural networks : the official journal of the International Neural Network Society·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
See all related articles

Related Experiment Video

Updated: Jan 19, 2026

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

1.0K

Deep multi-view clustering based on instance-level adaptive structural contrastive learning.

Zengbiao Yang1, Yihua Tan1

  • 1School of Artificial Intelligence and Automation, National Key Laboratory of Multispectral Information Intelligent Processing Technology, Huazhong University of Science and Technology, Wuhan, 430074, China.

Neural Networks : the Official Journal of the International Neural Network Society
|January 17, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces a novel deep multi-view clustering method using adaptive structural contrastive learning. It enhances clustering by aligning structures across views, outperforming existing approaches.

Keywords:
Clustering structure consistencyContrastive learningMulti-view clusteringMulti-view fusion

More Related Videos

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

7.3K
Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
04:48

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Published on: July 5, 2024

737

Related Experiment Videos

Last Updated: Jan 19, 2026

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

1.0K
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

7.3K
Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
04:48

Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

Published on: July 5, 2024

737

Area of Science:

  • Artificial Intelligence
  • Machine Learning
  • Data Science

Background:

  • Deep multi-view clustering leverages deep neural networks for representation.
  • Instance-level feature contrastive learning aligns features but ignores structural consistency across views.

Purpose of the Study:

  • To propose a deep multi-view clustering method based on instance-level adaptive structural contrastive learning.
  • To address the limitation of overlooking clustering structure consistency across views in existing methods.

Main Methods:

  • Utilized Transformer Pooling for adaptive view fusion and obtaining a fused view.
  • Developed a clue-consistency-based approach to identify consistent clustering structures.
  • Constructed adjacency matrices and proposed instance-level adaptive structural contrastive learning to align clustering structures.

Main Results:

  • The proposed method demonstrates superior performance compared to state-of-the-art methods.
  • Evaluated on multiple multi-view datasets, confirming the effectiveness of the approach.

Conclusions:

  • The proposed instance-level adaptive structural contrastive learning effectively aligns clustering structures across views.
  • The method improves deep multi-view clustering by considering both feature and structural consistency.