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 Experiment Videos

Face recognition by regularized discriminant analysis.

Dao-Qing Dai, Pong C Yuen

    IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society
    |August 19, 2007
    PubMed
    Summary
    This summary is machine-generated.

    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

    Enhancing Lesion Segmentation via Medical Image-Mask Pair Synthesis using Phenotype-Conditioned Diffusion Models.

    IEEE journal of biomedical and health informatics·2026
    Same author

    Laboratory Test-Guided Medical Image Generation for Multi-Modal Disease Prediction.

    IEEE transactions on medical imaging·2026
    Same author

    Polarity Prompting Vision Foundation Models for Pathology Image Analysis.

    IEEE transactions on medical imaging·2025
    Same author

    Cross-site prognosis prediction for nasopharyngeal carcinoma from incomplete multi-modal data.

    Medical image analysis·2024
    Same author

    Allosteric Feature Collaboration for Model-Heterogeneous Federated Learning.

    IEEE transactions on neural networks and learning systems·2023
    Same author

    Robust Remote Photoplethysmography Estimation With Environmental Noise Disentanglement.

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2023
    Same journal

    Strategic Ability Updating in Concurrent Games by Coalitional Commitment.

    IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society·2015
    Same journal

    Meta-Analysis of the First Facial Expression Recognition Challenge.

    IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society·2012
    Same journal

    Adjustable model-based fusion method for multispectral and panchromatic images.

    IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society·2012
    Same journal

    Face Feature Weighted Fusion Based on Fuzzy Membership Degree for Video Face Recognition.

    IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society·2012
    Same journal

    A New Adaptive Fast Cellular Automaton Neighborhood Detection and Rule Identification Algorithm.

    IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society·2012
    Same journal

    Human-arm-and-hand-dynamic model with variability analyses for a stylus-based haptic interface.

    IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society·2012
    See all related articles

    A new regularization method addresses the small sample-size problem in face recognition where feature dimensions exceed sample numbers. This approach improves system performance beyond traditional linear discriminant analysis optimization.

    Area of Science:

    • Computer Science
    • Machine Learning
    • Biometrics

    Background:

    • The small sample-size problem arises in face recognition when feature dimensions surpass the number of available samples.
    • This issue is a significant concern within the face recognition research community, potentially degrading system performance.

    Discussion:

    • Optimizing the Fisher index in linear discriminant analysis (LDA) may not yield optimal results for face recognition systems facing high-dimensional data with limited samples.
    • A novel regularization scheme is proposed to mitigate the performance degradation caused by the small sample-size problem.

    Key Insights:

    • The proposed regularization method offers an alternative to standard LDA optimization for improved face recognition accuracy.
    • Empirical evaluation on benchmark datasets (Olivetti Research Laboratory, Yale, Feret) demonstrates the efficacy of the new approach.

    Related Experiment Videos

    Outlook:

    • Further research could explore variations of the regularization scheme for different biometric modalities.
    • Investigating the scalability of this method for extremely large-scale face recognition datasets is warranted.