K.  Shailaja, B.  Anuradha, 
    Improved Face Recognition using a Modified PSO Based Self-Weighted
Linear Collaborative Discriminant Regression Classification,
    Journal of Engineering and Applied Sciences,
    Volume 12,Issue 23,
    2017,
    Pages 7234-7241,
    ISSN 1816-949x,
    jeasci.2017.7234.7241,
    (https://makhillpublications.co/view-article.php?doi=jeasci.2017.7234.7241)
    Abstract: Biometric authentication utilizing Face Recognition (FR) is emerging as a significant research field.
In this scenario, Linear Collaborative Discriminant Regression Classification (LCDRC) scheme is undertaken
for experimental examination. Whereas, LCDRC could not able to categorize the samples that scattered around
the intersections and also it gives a poor outcome in severe lighting variations. In order to overcome this
difficulties, an effective weight function along with Deep Learning (DL) is included in LCDRC. Respective
weight function is selected based on Modified-Particle Swarm Optimization (MPSO) algorithm. This proposed
methodology significantly maximize the Reconstruction Error (RE) between the classes and also it minimize the
RE within the class. Though, the proposed methodology not only out-performs LCDRC, also it provides
superior outcome in terms of accuracy.
    Keywords: Deep learning;face recognition;linear collaborative discriminant regression classification;modified particle swarm optimization;reconstruction error