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

Regression Toward the Mean01:52

Regression Toward the Mean

7.3K
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...
7.3K
Routh-Hurwitz Criterion II01:19

Routh-Hurwitz Criterion II

1.1K
In the application of the Routh-Hurwitz criterion, two specific scenarios can arise that complicate stability analysis.
The first scenario occurs when a singular zero appears in the first column of the Routh table. This situation creates a division by zero issues. To resolve this, a small positive or negative number, denoted as epsilon (∈), is substituted for the zero. The stability analysis proceeds by assuming a sign for ∈. If ∈ is positive, any sign change in the first...
1.1K
Regulation of Nuclear Protein Sorting01:45

Regulation of Nuclear Protein Sorting

3.4K
Nuclear protein sorting regulates nucleus composition and gene expression, crucial for determining the fate of a eukaryotic cell. Hence, the entry and exit of molecules across the nuclear envelope is a tightly controlled process. Nuclear protein sorting can be inhibited by one of the following ways: 1) masking cargo signal sequences, 2) modifying the nuclear receptor's affinity for cargo, 3) controlling the nuclear pore size, 4) retaining the cargo during its transit to the cytosol or the...
3.4K
Residuals and Least-Squares Property01:11

Residuals and Least-Squares Property

9.7K
The vertical distance between the actual value of y and the estimated value of y. In other words, it measures the vertical distance between the actual data point and the predicted point on the line
If the observed data point lies above the line, the residual is positive, and the line underestimates the actual data value for y. If the observed data point lies below the line, the residual is negative, and the line overestimates the actual data value for y.
The process of fitting the best-fit...
9.7K
Routh-Hurwitz Criterion I01:15

Routh-Hurwitz Criterion I

641
Consider an electrical power grid, where stability is essential to prevent blackouts. The Routh-Hurwitz criterion is a valuable tool for assessing system stability under varying load conditions or faults. By analyzing the closed-loop transfer function, the Routh-Hurwitz criterion helps determine whether the system remains stable.
To apply the Routh-Hurwitz criterion, a Routh table is constructed. The table's rows are labeled with powers of the complex frequency variable s, starting from the...
641
Multiple Regression01:25

Multiple Regression

4.2K
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...
4.2K

You might also read

Related Articles

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

Sort by
Same author

Climatic reconstruction at the Miocene Shanwang basin, China, using leaf margin analysis, CLAMP, coexistence approach, and overlapping distribution analysis.

American journal of botany·2011
Same author

Novel candidate colorectal cancer biomarkers identified by methylation microarray-based scanning.

Endocrine-related cancer·2011
Same author

Stress and strain analysis of contractions during ramp distension in partially obstructed guinea pig jejunal segments.

Journal of biomechanics·2011
Same author

Role of Gα(12)- and Gα(13)-protein subunit linkage of D(3) dopamine receptors in the natriuretic effect of D(3) dopamine receptor in kidney.

Hypertension research : official journal of the Japanese Society of Hypertension·2011
Same author

Transarticular screw and C1 hook fixation for os odontoideum with atlantoaxial dislocation.

World neurosurgery·2011
Same author

Surgical treatments of myelopathy caused by cervical ligamentum flavum ossification.

World neurosurgery·2011

Related Experiment Video

Updated: Mar 7, 2026

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
03:37

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

Published on: March 1, 2024

1.4K

Robust Nuclear Norm-Based Matrix Regression With Applications to Robust Face Recognition.

Jianchun Xie, Jian Yang, Jianjun J Qian

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |February 7, 2017
    PubMed
    Summary

    This study introduces a robust nuclear norm for face recognition, improving accuracy by better handling structural noise and mixed noise in images. The new method enhances face recognition performance on public databases.

    More Related Videos

    Using Computer Vision Libraries to Streamline Nuclei Quantification
    06:25

    Using Computer Vision Libraries to Streamline Nuclei Quantification

    Published on: June 6, 2025

    734

    Related Experiment Videos

    Last Updated: Mar 7, 2026

    Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
    03:37

    Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

    Published on: March 1, 2024

    1.4K
    Using Computer Vision Libraries to Streamline Nuclei Quantification
    06:25

    Using Computer Vision Libraries to Streamline Nuclei Quantification

    Published on: June 6, 2025

    734

    Area of Science:

    • Computer Vision
    • Machine Learning
    • Pattern Recognition

    Background:

    • Traditional face recognition methods using regression analysis often overlook the 2D structure of error images.
    • Existing nuclear norm models struggle with noise when singular value assumptions are violated, overpenalizing larger singular values.

    Purpose of the Study:

    • To develop a robust nuclear norm method for characterizing structural errors in face recognition.
    • To extend the method to effectively handle mixed noise, improving recognition accuracy.

    Main Methods:

    • Introduced a robust nuclear norm to model structural errors in face images.
    • Applied the majorization-minimization (MM) algorithm for optimization.
    • Utilized the alternating direction method of multipliers (ADMM) for efficient model solving.
    • Employed a weighted nuclear norm as the final classification criterion.

    Main Results:

    • The proposed robust nuclear norm effectively characterizes structural noise and mixed noise.
    • Experimental results on public face databases demonstrate significant improvements in face recognition accuracy.
    • The model shows effectiveness in handling variations like occlusion and illumination.

    Conclusions:

    • The robust nuclear norm approach offers a more accurate way to handle structural noise in face recognition.
    • The developed method provides a powerful tool for robust face recognition under challenging conditions.