Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

You might also read

Related Articles

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

Sort by

Same author

Pituitary adenylate cyclase-activating polypeptide attenuates coronary microembolization-induced myocardial apoptosis via PAC1 receptor activation in rats.

Tissue & cell·2026

Same author

Flexible Prescribed-Time Optimal Control With Adaptive State-Input Constraint Bounds via Actor-Critic Learning.

IEEE transactions on neural networks and learning systems·2026

Same author

Dispersion Compensation and Multi-Beam Interference Correction Algorithm for Thickness Measurement of SiC Epitaxial Layer.

Sensors (Basel, Switzerland)·2026

Same author

Structure and druggable conformation of the homodimeric lipoprotein transporter of Acinetobacter baumannii.

Nature communications·2026

Same author

Toward Comprehensive Information-Theoretic Multi-View Learning.

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

Same author

High-Performance Water Purification and Synergistic Hydrovoltaic by Avocado Peels Decorated With Carbon Dots.

Small science·2026

Same journal

Hidden Data Recovery and Forecasting via Next-Generation Reservoir Computing With Multiscale Delay Selection.

IEEE transactions on neural networks and learning systems·2026

Same journal

CAFF-CIL: Causality-Aware Freedom Forgetting Approach for Class-Incremental Learning.

IEEE transactions on neural networks and learning systems·2026

Same journal

Harmonic Autoencoding Framework for Multiple Tasks in Magnetic Particle Imaging Reconstruction.

IEEE transactions on neural networks and learning systems·2026

Same journal

A Survey on Human-Centric Voice-Face Multimodal Learning.

IEEE transactions on neural networks and learning systems·2026

Same journal

Vision-Assisted Foundation Model for Solving Multitask Vehicle Routing Problems.

IEEE transactions on neural networks and learning systems·2026

Same journal

FP3O: Enabling Proximal Policy Optimization in Multiagent Cooperation With Parameter-Sharing Versatility.

IEEE transactions on neural networks and learning systems·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Nov 18, 2025

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Published on: October 27, 2023

Transductive Semisupervised Deep Hashing.

Weiwei Shi, Yihong Gong, Badong Chen

IEEE Transactions on Neural Networks and Learning Systems

|February 5, 2021

Summary

This summary is machine-generated.

This study introduces a transductive semisupervised deep hashing (TSSDH) method to improve image retrieval accuracy using less labeled data. The novel approach effectively utilizes both labeled and unlabeled samples for training deep convolutional neural network models.

More Related Videos

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

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

Published on: December 15, 2023

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images

Published on: April 21, 2023

Related Experiment Videos

Last Updated: Nov 18, 2025

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Published on: October 27, 2023

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

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

Published on: December 15, 2023

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images

Published on: April 21, 2023

Area of Science:

Computer Science
Machine Learning
Artificial Intelligence

Background:

Deep hashing methods offer superior performance over traditional approaches.
High retrieval accuracy in deep hashing typically necessitates extensive labeled training data.
Existing methods struggle with limited labeled data scenarios.

Purpose of the Study:

To propose a novel transductive semisupervised deep hashing (TSSDH) method.
To enable effective training of deep convolutional neural network (DCNN) models using both labeled and unlabeled data.
To enhance image retrieval accuracy with reduced reliance on labeled samples.

Main Methods:

Extending transductive learning (TL) principles for DCNN-based deep hashing.
Incorporating confidence levels for unlabeled samples to mitigate uncertainty.
Utilizing a Gaussian likelihood loss for hash code learning to penalize dissimilarities.
Implementing large-margin feature (LMF) regularization for optimized feature distances.

Main Results:

The TSSDH method demonstrates superior image retrieval accuracies.
Achieved better performance compared to existing semisupervised deep hashing methods.
Effectively trained DCNN models with a combination of labeled and unlabeled data.

Conclusions:

The proposed TSSDH method significantly improves image retrieval accuracy.
TSSDH offers an effective solution for scenarios with limited labeled training data.
The method provides a robust framework for semisupervised deep hashing.