… This frequently occurs when the intrinsic dimensionality of data is unknown or when it has …
shadows and facial occlusions completely removed, whereas other algorithms cannot remove …

… (SRC) to determine unknown faces. While the proposed … research study using either Principal
Component Analysis (PCA) or … by removing the dth row from each i row-group and the dth …

… a cluster of images of the same unidentified person in place of … assistance of AMF so as to
remove the noise. The Adaptive … And engage principal component analysis on the database …

… main objective of this paper is providing precise recognition of objects and estimation of their
location from an unknown … costly and costly to remove Multimedia data including videos, …

… RPCAs also remove the principal component information of samples while removing the …
images clearly, especially the occlusion parts. For FSD-PCA, the reconstruction images are …

… removal and edge enhancement [15, 16]. According to Bhattacharyya [17], other approaches,
which include neuro-fuzzy-… In this study, we adopted Principal Component Analysis (PCA) …

… In this article, the noise of the face image is removed by the … of the face is recognized by the
principal component analysis … randomly added with 20% occlusion. In the noise experiment, …

… a high resolution faces from fuzzy small faces. Zhang Y [51] … to detect the occluded area and
delete the occluded area, … In the convolution stage, sparse principal component analysis is …

… To segment the occluded and non-occluded parts, fuzzy C-… The main component of our
system is a face recognition … and applying Gaussian blur to remove high-frequency noise; so…

… noise removal and adopting segmentation techniques for facial … which has preserved via
principal component analysis (PCA) … Pose and occlusion invariant face recognition system for …