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

Personal Identity01:25

Personal Identity

342
Personal identity is the deeply felt sense of self that individuals cultivate over time, intricately woven from intrinsic qualities they consider essential to their existence—qualities such as morality, intelligence, and friendliness. These attributes serve as vital internal benchmarks, guiding individuals in evaluating whether their actions resonate with their true selves.When personal identity takes center stage in one's life, individuals often emphasize their distinctiveness,...
342
Regression Toward the Mean01:52

Regression Toward the Mean

6.9K
Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
6.9K
Multiple Regression01:25

Multiple Regression

3.8K
Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
3.8K
Correlation and Regression00:53

Correlation and Regression

3.2K
In statistics, correlation describes the degree of association between two variables. In the subfield of linear regression, correlation is mathematically expressed by the correlation coefficient, which describes the strength and direction of the relationship between two variables. The coefficient is symbolically represented by 'r' and ranges from -1 to +1. A positive value indicates a positive correlation where the two variables move in the same direction. A negative value suggests a...
3.2K
Regression Analysis01:11

Regression Analysis

8.1K
Regression analysis is a statistical tool that describes a mathematical relationship between a dependent variable and one or more independent variables.
In regression analysis, a regression equation is determined based on the line of best fit– a line that best fits the data points plotted in a graph. This line is also called the regression line. The algebraic equation for the regression line is called the regression equation. It is represented as:
8.1K
Social Identity01:29

Social Identity

263
Social identity constitutes a significant aspect of an individual’s self-concept, shaped by membership in various social groups, including gender, nationality, ethnicity, sexual orientation, and political affiliation. Individuals associate specific traits with particular social groups, leading to internalization of these traits. For example, musicians are often perceived as creative, while women are frequently associated with nurturing tendencies. Once individuals identify with a...
263

You might also read

Related Articles

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

Sort by
Same author

Immunometabolic reprogramming of macrophages by miR-423-5p-enriched small extracellular vesicles delivered via glucose/ROS-responsive hydrogel for diabetic wound healing.

Journal of nanobiotechnology·2026
Same author

A novel strategy for a stable low-ammonia nitrification system: low-temperature sludge storage recovery.

RSC advances·2026
Same author

Feasibility and short-term outcomes of curative esophagectomy in octogenarian patients with esophageal cancer: a real-world retrospective study.

BMC geriatrics·2026
Same author

GMCF-lite for lightweight and interpretable traffic sign classification via gated mamba-CNN fusion.

Scientific reports·2026
Same author

Bound states in doped charge transfer insulators.

Nature communications·2026
Same author

A molybdenum-promoted nickel-aluminum alloy catalyst for high-efficient hydrogenation reduction of nitrate to ammonia and nitrogen.

RSC advances·2026

Related Experiment Video

Updated: Jan 27, 2026

Behavioral Tasks for Examining Identity Recognition In Mice
06:58

Behavioral Tasks for Examining Identity Recognition In Mice

Published on: February 7, 2025

1.2K

Person Re-identification in Identity Regression Space.

Hanxiao Wang1, Xiatian Zhu2,3, Shaogang Gong2

  • 11Electrical and Computer Engineering Department, Boston University, Boston, MA 02215 USA.

International Journal of Computer Vision
|April 2, 2019
PubMed
Summary

This study introduces an Identity Regression Space (IRS) to solve person re-identification (re-id) challenges. The IRS approach offers scalable and adaptable re-id solutions for real-world applications.

Keywords:
Active learningFeature embedding spaceIncremental learningPerson re-identificationRegression

More Related Videos

The Social Dimension of Stress: Experimental Manipulations of Social Support and Social Identity in the Trier Social Stress Test
11:13

The Social Dimension of Stress: Experimental Manipulations of Social Support and Social Identity in the Trier Social Stress Test

Published on: November 19, 2015

14.5K
Establishing a Competing Risk Regression Nomogram Model for Survival Data
04:57

Establishing a Competing Risk Regression Nomogram Model for Survival Data

Published on: October 23, 2020

10.8K

Related Experiment Videos

Last Updated: Jan 27, 2026

Behavioral Tasks for Examining Identity Recognition In Mice
06:58

Behavioral Tasks for Examining Identity Recognition In Mice

Published on: February 7, 2025

1.2K
The Social Dimension of Stress: Experimental Manipulations of Social Support and Social Identity in the Trier Social Stress Test
11:13

The Social Dimension of Stress: Experimental Manipulations of Social Support and Social Identity in the Trier Social Stress Test

Published on: November 19, 2015

14.5K
Establishing a Competing Risk Regression Nomogram Model for Survival Data
04:57

Establishing a Competing Risk Regression Nomogram Model for Survival Data

Published on: October 23, 2020

10.8K

Area of Science:

  • Computer Vision
  • Machine Learning
  • Artificial Intelligence

Background:

  • Existing person re-identification (re-id) methods struggle with scalability to large populations and adaptability over time, limiting real-world deployment.
  • Addressing these limitations is crucial for effective surveillance and security systems.

Purpose of the Study:

  • To develop a unified solution for person re-identification that overcomes scalability and adaptability issues.
  • To introduce a novel Identity Regression Space (IRS) for efficient and incremental re-id model learning.

Main Methods:

  • Constructing an Identity Regression Space (IRS) by embedding different training person identities.
  • Formulating person re-identification as a regression problem solved within the IRS.
  • Utilizing a closed-form solution for high learning efficiency and incremental learning with human-in-the-loop.

Main Results:

  • The IRS model significantly outperforms state-of-the-art re-id methods on benchmark datasets (VIPeR, CUHK01, CUHK03, Market-1501).
  • Demonstrated superior scalability to large re-id population sizes through rapid model updates.
  • Showcased effective sample selection with reduced human labeling effort.

Conclusions:

  • The proposed IRS approach provides a scalable and adaptable solution for person re-identification.
  • This method enhances learning efficiency and facilitates continuous model improvement in dynamic environments.
  • The IRS model represents a significant advancement for practical, large-scale person re-identification systems.