Nov 18, 2015 · Weighted-PCANet, a novel feature learning method is proposed to face recognition by combining Linear Regression Classification model (LRC) ...
Weighted-PCANet, a novel feature learning method is proposed to face recognition by combining Linear Regression Classification model (LRC) and PCANet ...
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Weighted PCA space and its application in face recognition. Abstract: In this paper, we propose a new PCA based subspace approach for pattern recognition.
Missing: PCANet | Show results with:PCANet
This paper proposes a block face recognition algorithm based on the weighted intensity PCNN model, we have refined the description of the features through ...
Missing: PCANet | Show results with:PCANet
Abstract. Adaptively weighted Sub-pattern PCA (Aw-SpPCA) for face recognition is presented in this paper. Unlike PCA based on a whole image pattern, Aw-SpPCA ...
Missing: PCANet | Show results with:PCANet
Weighted PCA-EFMNet: A deep learning network for Face ... Face recognition consists of two subtasks including Face Verification and Face Identification.
Oct 30, 2021 · In 1987, a paper by Sirovich and Kirby considered the idea that all pictures of human face to be a weighted sum of a few “key pictures”.
Adaptively weighted Sub-pattern PCA (Aw-SpPCA) for face recognition is presented in this paper. Unlike PCA based on a whole image pattern, Aw-SpPCA operates ...
Missing: PCANet | Show results with:PCANet
We have tested these basic networks extensively on many benchmark visual datasets for different tasks, such as LFW for face verification, MultiPIE, Extended ...
An Adaptive Ensemble Learning-Based Smart Face Recognition and Verification Framework with Improved Heuristic Approach · Computer Science. International Journal ...