… Below, we outline the steps of face recognition using RP. The algorithm is similar to the
eigenface approach except that the projection matrix is computed randomly instead of applying …

… We have argued that forming random projection trees in the expanded (feature + coordinate)
space yields a spatially varying implicit matching scheme. Our visualized examples and …

… face image with all possible rectangle filters having various locations and scales, the face
image in the image space is projected … , we adopt a random projection method based on the …

… work on random projections in dimensionality reduction. Section 3 presents the projection
matrix … In section 4, we present our solution for face recognition using random projection with …

… In this section, we use random sampling to improve LDA based face recognition. We
construct many weak classifiers and combine them into a powerful decision rule. Although …

… This paper proposes a security algorithm of face recognition, which bases on the local binary
pattern (LBP) and random projection. Feature extraction is first performed on face images …

… marked that the random faces can be used. In this paper the random projection is studied …
, and the probability of recognition enhancement when random projection is applied is also …

… in face recognition problem on two well-known face databases, Yale [18] and ORL [19].
RP, PCA, and 2DPCA are used as baseline for comparing with random projection schemes. …

… It is a challenge for face recognition methods to work … robust face recognition method, based
on random projection and sparse representation, is proposed. In the proposed method, face …

… random matrices and random projection algorithms. In Section 7.3, the justification of the
validity of random projection is … The RP algorithm for face recognition is very similar to the …