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

Sign Test for Matched Pairs01:17

Sign Test for Matched Pairs

392
The sign test for matched pairs offers a robust method for comparing two paired samples, often for the effects of an intervention in one of them. This method is very useful in situations where the underlying distribution of the data is unknown. The test compares two related samples—often pre- and post-treatment measurements on the same subjects—to determine if there are significant differences in their median values.
To conduct the sign test, we first calculate the differences in...
392
Wilcoxon Signed-Ranks Test for Matched Pairs01:09

Wilcoxon Signed-Ranks Test for Matched Pairs

489
The Wilcoxon signed-rank test for matched pairs evaluates the null hypothesis by combining the ranks of differences with their signs. It essentially tests whether the median of the differences in a population of matched pairs is zero. Since the test incorporates more information than the sign test, it generally yields more trustable conclusions. This test also does not require the data to follow a normal distribution, but two conditions must be met for it to be applicable: (1) the data must...
489
Definite Integral01:29

Definite Integral

52
Consider a real-valued function defined on a closed interval. One of the fundamental objectives in calculus is to determine the area under the graph of such a function. When an exact computation is not readily available, this area can be estimated by dividing the interval into a finite number of equal subintervals. Each subinterval corresponds to a rectangle whose width is the length of the subinterval and whose height is determined by the value of the function at a selected point within that...
52
Indefinite Integrals01:25

Indefinite Integrals

61
The water inflow rate into a storage tank is not constant but increases over time. Initially, the pump delivers water at a rate of 5 L/min. However, the inflow rate increases by 2 L/min for each additional minute due to rising pressure or system adjustments. This scenario can be described mathematically by a linear function:It is necessary to integrate the inflow rate function to measure the total volume of water added to the tank over time. The total water volume V(t) is obtained by performing...
61
Integrator and Differentiator01:13

Integrator and Differentiator

1.4K
Op-amp circuits have significant applications in various fields, including automotive engineering. One such application is cruise control systems in cars, where op-amp circuits are integral for maintaining a constant speed. In these systems, op-amps function as both integrators and differentiators.
An integrator within an op-amp circuit produces an output directly proportional to the integral of the input signal. This is achieved by replacing the feedback resistor in a typical inverting...
1.4K
Integrated Healthcare System01:20

Integrated Healthcare System

2.4K
An integrated healthcare system (IHS) is a set of organizations that provides for or arranges to provide coordinated and continuous service to a defined population. The IHS takes responsibility for that particular population's health status and outcome, both clinically and fiscally. An integrated healthcare system is a well-organized, well-coordinated, and collaborative network. The integrated delivery system is a network that connects different healthcare providers to deliver organized,...
2.4K

You might also read

Related Articles

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

Sort by
Same author

OpenIO: An open framework for AI-native immunotherapy.

Cancer cell·2026
Same author

Unraveling the effector mechanism of citrulline on sow lactation and offspring growth: an integrative multi-omics analysis.

Journal of animal science and biotechnology·2026
Same author

Diagnostic Role of Aspirin Challenge in NSAID-Exacerbated Respiratory Disease: A Prospective Single-Center Study in China.

Allergy, asthma & immunology research·2026
Same author

Targeting CD74 may mitigate immune-escape features and enhance BCMA CAR-T activity in preclinical models of relapsed/refractory multiple myeloma.

Journal for immunotherapy of cancer·2026
Same author

A novel methylation marker on the <i>CLEC14A</i> gene for cervical cancer screening.

Frontiers in oncology·2026
Same author

Sparse4D: Sparse-based End-to-end Multi-Sensor Temporal Perception.

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

An Evolutionary Algorithm Assisted by an Ensemble of Pareto-Optimal Surrogate Models.

IEEE transactions on cybernetics·2026
Same journal

A Quantum Self-Attention Neural Network Model on Quantum Circuits.

IEEE transactions on cybernetics·2026
Same journal

Semi-Explicit Solution of Some Discrete-Time Higher-Order-Cost Mean-Field-Type Control.

IEEE transactions on cybernetics·2026
Same journal

A Novel One-Step Small Object Detector for Autonomous Aerial Vehicles.

IEEE transactions on cybernetics·2026
Same journal

Online Data-Driven-Based Optimal Output Tracking Control Without Initial Stabilizing Policy.

IEEE transactions on cybernetics·2026
Same journal

Digital Redesign-Based Interval State Estimation for Continuous Systems With Aperiodic Discrete Measurements.

IEEE transactions on cybernetics·2026
See all related articles

Related Experiment Video

Updated: Jan 23, 2026

Testing for Metacognitive Responding Using an Odor-based Delayed Match-to-Sample Test in Rats
08:06

Testing for Metacognitive Responding Using an Odor-based Delayed Match-to-Sample Test in Rats

Published on: June 18, 2018

7.6K

Group Reidentification with Multigrained Matching and Integration.

Weiyao Lin, Yuxi Li, Hao Xiao

    IEEE Transactions on Cybernetics
    |June 15, 2019
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces group granularity for robust group reidentification (Re-ID) across different camera views. The novel approach effectively handles variations in group composition and spatial arrangements for improved Re-ID performance.

    More Related Videos

    Fabrication of Refractive-index-matched Devices for Biomedical Microfluidics
    09:54

    Fabrication of Refractive-index-matched Devices for Biomedical Microfluidics

    Published on: September 10, 2018

    8.0K
    Fast Micro-iontophoresis of Glutamate and GABA: A Useful Tool to Investigate Synaptic Integration
    07:08

    Fast Micro-iontophoresis of Glutamate and GABA: A Useful Tool to Investigate Synaptic Integration

    Published on: July 31, 2013

    20.2K

    Related Experiment Videos

    Last Updated: Jan 23, 2026

    Testing for Metacognitive Responding Using an Odor-based Delayed Match-to-Sample Test in Rats
    08:06

    Testing for Metacognitive Responding Using an Odor-based Delayed Match-to-Sample Test in Rats

    Published on: June 18, 2018

    7.6K
    Fabrication of Refractive-index-matched Devices for Biomedical Microfluidics
    09:54

    Fabrication of Refractive-index-matched Devices for Biomedical Microfluidics

    Published on: September 10, 2018

    8.0K
    Fast Micro-iontophoresis of Glutamate and GABA: A Useful Tool to Investigate Synaptic Integration
    07:08

    Fast Micro-iontophoresis of Glutamate and GABA: A Useful Tool to Investigate Synaptic Integration

    Published on: July 31, 2013

    20.2K

    Area of Science:

    • Computer Vision
    • Artificial Intelligence
    • Pattern Recognition

    Background:

    • Group reidentification (Re-ID) is challenging due to viewpoint, pose, group layout, and membership changes.
    • Existing methods struggle with the complexities of reidentifying groups of people across multiple cameras.

    Purpose of the Study:

    • To propose a novel concept of group granularity for robust group Re-ID.
    • To develop multigrained representations capturing appearance and spatial relations of individuals and subgroups.
    • To enhance Re-ID accuracy by considering intragroup dynamics and optimizing group-wise matching.

    Main Methods:

    • Introduced group granularity by characterizing groups using individuals and subgroups (pairs, triplets).
    • Developed multigrained representations using handcrafted descriptors and deep neural networks.
    • Implemented a multiorder matching process with dynamically updated importance weights for intragroup variations.

    Main Results:

    • Demonstrated the effectiveness of the proposed approach on three complex multicamera group datasets.
    • Achieved robust group Re-ID performance despite significant variations in group dynamics and scenarios.
    • Validated the ability of multigrained representations to capture essential group characteristics.

    Conclusions:

    • The proposed group granularity and multigrained representation significantly advance group Re-ID.
    • The method offers a robust solution for challenging Re-ID scenarios with dynamic groups.
    • This work provides a strong foundation for future research in group-based surveillance and analysis.