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

Analyzing Mitochondrial Morphology Through Simulation Supervised Learning12:06

Analyzing Mitochondrial Morphology Through Simulation Supervised Learning

4.7K
This article explains how to use simulation-supervised machine learning for analyzing mitochondria morphology in fluorescence microscopy images of fixed cells.
4.7K
Deep Neural Networks for Image-Based Dietary Assessment13:19

Deep Neural Networks for Image-Based Dietary Assessment

9.9K
The goal of the work presented in this article is to develop technology for automated recognition of food and beverage items from images taken by mobile devices. The technology comprises of two different approaches - the first one performs food image recognition while the second one performs food image...
9.9K
Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models14:14

Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models

9.3K
The goal of this project is to develop an interactive, patient-specific modeling pipeline to simulate the effects of deep brain stimulation in near real-time and provide meaningful feedback as to how these devices influence neural activity in the...
9.3K
Stream Function01:20

Stream Function

2.0K
In two-dimensional incompressible fluid flow, the continuity equation is essential for ensuring mass conservation, meaning that any change in fluid entering or exiting a region is balanced by a corresponding change elsewhere. For incompressible flow, where density remains constant, this requirement simplifies to the condition that the divergence of the velocity field must be zero. Mathematically, this is expressed as,
2.0K
Non-invasive Parenchymal, Vascular and Metabolic High-frequency Ultrasound and Photoacoustic Rat Deep Brain Imaging12:00

Non-invasive Parenchymal, Vascular and Metabolic High-frequency Ultrasound and Photoacoustic Rat Deep Brain Imaging

12.6K
The present work describes a new protocol to perform non-invasive high-frequency ultrasound and photoacoustic based imaging on rat brain, to efficiently visualize deep subcortical regions and their vascular patterns by directing signals on skull foramina naturally present on animal...
12.6K
Visualizing Antigen Specific CD4+ T Cells using MHC Class II Tetramers15:42

Visualizing Antigen Specific CD4+ T Cells using MHC Class II Tetramers

22.2K
This procedure demonstrates the purification and in vitro expansion of antigen specific CD4+ T cells from whole peripheral blood and their visualization using MHC class II tetramers. Tetramers permit the direct visualization of T cells with a single antigen specificity and defined MHC class II restriction.
22.2K

You might also read

Related Articles

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

Sort by
Same author

A Randomized Controlled Trial of Yizhi Kaiqiao Formula Combined With Repetitive Transcranial Magnetic Stimulation on Neurocognitive and Social Outcomes in Preschool Children With Autism Spectrum Disorder.

Developmental neurobiology·2026
Same author

Advancing high-altitude medicine: a model for the future.

Signal transduction and targeted therapy·2026
Same author

<sup>68</sup>Ga-Labeled LLP2A for PET Imaging of Very Late Antigen-4 in Acute Cardiac Rejection.

Molecular pharmaceutics·2026
Same author

Deciphering Object Concepts: Hierarchical Cross-Modal Relational Reasoning for Mining Object-Attribute-Affordance Associations.

IEEE transactions on pattern analysis and machine intelligence·2026
Same author

Validating a gamified size perception task for identifying cognitive profiles in children: a latent profile analysis of executive function and sensory measures.

Frontiers in psychology·2026
Same author

DARS2 serves as an independent prognostic factor and participates in multiple biological processes in bladder urothelial carcinoma.

Translational andrology and urology·2026

Related Experiment Video

Updated: Jan 19, 2026

Analyzing Mitochondrial Morphology Through Simulation Supervised Learning
12:06

Analyzing Mitochondrial Morphology Through Simulation Supervised Learning

Published on: March 3, 2023

4.7K

Two-Stream Deep Hashing With Class-Specific Centers for Supervised Image Search.

Cheng Deng, Erkun Yang, Tongliang Liu

    IEEE Transactions on Neural Networks and Learning Systems
    |September 13, 2019
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a novel deep hashing method using class-specific centers to improve approximate nearest neighbor search accuracy. The approach effectively reduces intraclass variations for more robust hash code generation.

    More Related Videos

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

    Deep Neural Networks for Image-Based Dietary Assessment

    Published on: March 13, 2021

    9.9K
    Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models
    14:14

    Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models

    Published on: August 12, 2018

    9.3K

    Related Experiment Videos

    Last Updated: Jan 19, 2026

    Analyzing Mitochondrial Morphology Through Simulation Supervised Learning
    12:06

    Analyzing Mitochondrial Morphology Through Simulation Supervised Learning

    Published on: March 3, 2023

    4.7K
    Deep Neural Networks for Image-Based Dietary Assessment
    13:19

    Deep Neural Networks for Image-Based Dietary Assessment

    Published on: March 13, 2021

    9.9K
    Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models
    14:14

    Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models

    Published on: August 12, 2018

    9.3K

    Area of Science:

    • Computer Science
    • Machine Learning
    • Artificial Intelligence

    Background:

    • Hashing is crucial for efficient large-scale approximate nearest neighbor search.
    • Deep learning methods enhance supervised hashing, but intraclass variations in natural images pose accuracy challenges.

    Purpose of the Study:

    • To develop a novel deep hashing method that addresses intraclass variations for improved accuracy.
    • To learn hash codes that are robust to variations within image classes.

    Main Methods:

    • A two-stream Convolutional Neural Network (ConvNet) architecture is proposed.
    • The method learns class-specific representation centers for unified binary representations.
    • An image network learns hash codes, guided by proximity to corresponding class centers.

    Main Results:

    • The proposed method significantly reduces intraclass variation.
    • Experimental results on benchmark datasets demonstrate superior performance compared to state-of-the-art methods.
    • The unified, end-to-end trainable framework integrates label and image information effectively.

    Conclusions:

    • The novel two-stream ConvNet architecture with class-specific centers enhances deep hashing accuracy.
    • This approach offers a more robust solution for approximate nearest neighbor search in the presence of image variations.
    • The method sets a new state-of-the-art in supervised deep hashing benchmarks.