Face recognitionSparse representationVirtual sampleAutomatic weight assignmentFace recognition with a very limited or even one tOptik: Zeitschrift fur Licht- und Elektronenoptik: = Journal for Light-and ElectronopticZhuHunanNingboHunanChenHunanShuoxuan...
Weighted sparse representationMotor imagery (MI) based brain-computer interface systems (BCIs) are highly in need for a large number of real-time applications such as hands and touch-free text entry system, movement of a wheelchair, movement of a cursor, prosthetic arm movement, virtual reality ...
In this paper, a novel hyperspectral anomaly detection method based on background estimation and adaptive weighted sparse representation has been proposed. Firstly, to obtain the effective background dictionary without anomaly information, a new background dictionary construction strategy is designed. ...
The sparse representation based classification method can be divided into two categories: holistic approaches and local feature-based approaches. In spite of the significant success in face recognition, improvements on higher robustness or lower computational complexity are still necessary for its real appl...
We address the problem of computing joint sparse representation of visual signal across multiple kernel-based representations. Such a problem arises natura... XT Yuan,S Yan - Computer Vision & Pattern Recognition 被引量...
Thus, the proposed NWSR method merges sparse representations of multiple similar noisy and denoised patches to better estimate a sparse representation for each patch. First, the sparse representation of each patch is independently computed over an overcomplete dictionary, and then a nonlocal weighted ...
Just like WPCA, different weights will be assigned for different samples according to their similarities to the testing sample in WPPCA. Show abstract Weighted sparse representation for face recognition 2015, Neurocomputing Show abstractView all citing articles on Scopus...
Ma, “Robust face recognition via sparse representation” IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 31, no. 2, pp. 210 –227, 2009.】它的motivation是:即使数据是高维的,来自同一类的样本往往位于原始特征空间的相同低维子空间中。如果可以找到一个好的basis,那么可以使用正则化来...
we propose a new method called weighted block-sparse low rank representation (WBSLRR) which considers the available prior knowledge while learning a low rank data representation, and also develop a simple but effective approach to obtain the clustering result of faces. Moreover, after using several...
摘要: Recently sparse representation has been widely used in face recognition. It has been shown that under maximum likelihood estimation of the sparse coding problem, robustness of face representation and...关键词: Face recognition sparse coding spatial weighting ...