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» On the Dimensionality of Face Space
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ICPR
2008
IEEE
16 years 7 months ago
V-LGBP: Volume based local Gabor binary patterns for face representation and recognition
In this paper, we propose volume based local Gabor binary patterns (V-LGBP) for face representation and recognition. In our method, the Gabor feature set of each gray image is reg...
Shiguang Shan, Shufu Xie, Wen Gao, Xilin Chen
ICPR
2002
IEEE
16 years 7 months ago
Unsupervised Learning Using Locally Linear Embedding: Experiments with Face Pose Analysis
This paper considers a recently proposed method for unsupervised learning and dimensionality reduction, locally linear embedding (LLE). LLE computes a compact representation of hi...
Abdenour Hadid, Matti Pietikäinen, Olga Kouro...
CVPR
2007
IEEE
15 years 8 months ago
Kernel Fukunaga-Koontz Transform Subspaces For Enhanced Face Recognition
Traditional linear Fukunaga-Koontz Transform (FKT) [1] is a powerful discriminative subspaces building approach. Previous work has successfully extended FKT to be able to deal wit...
Yung-hui Li, Marios Savvides
CVPR
2007
IEEE
16 years 8 months ago
Optimal Dimensionality Discriminant Analysis and Its Application to Image Recognition
Dimensionality reduction is an important issue when facing high-dimensional data. For supervised dimensionality reduction, Linear Discriminant Analysis (LDA) is one of the most po...
Feiping Nie, Shiming Xiang, Yangqiu Song, Changshu...
ICNSC
2007
IEEE
16 years 18 days ago
Associative Memory for Noisy and Structurally Deformed Two-Dimensional Images Using Neural Networks
—This paper studies the problem of understanding noisy and structurally deformed two-dimensional images by means of abstractly defined neural works. First, in the framework of sy...
Hiroshi Inaba, Tomoki Takahashi, Keylan Alimhan