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» Face Recognition Based on Discriminative Manifold Learning
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CVPR
2007
IEEE
15 years 11 months ago
Discriminant Additive Tangent Spaces for Object Recognition
Pattern variation is a major factor that affects the performance of recognition systems. In this paper, a novel manifold tangent modeling method called Discriminant Additive Tange...
Liang Xiong, Jianguo Li, Changshui Zhang
ACCV
2009
Springer
15 years 4 months ago
Similarity Scores Based on Background Samples
Evaluating the similarity of images and their descriptors by employing discriminative learners has proven itself to be an effective face recognition paradigm. In this paper we sho...
Lior Wolf, Tal Hassner, Yaniv Taigman
ICPR
2008
IEEE
15 years 11 months ago
An empirical comparison of graph-based dimensionality reduction algorithms on facial expression recognition tasks
Facial expression recognition is a topic of interest both in industry and academia. Recent approaches to facial expression recognition are based on mapping expressions to low dime...
José Miguel Buenaposada, Li He, Luis Baumel...
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CVPR
2007
IEEE
15 years 11 months ago
Learning a Spatially Smooth Subspace for Face Recognition
Subspace learning based face recognition methods have attracted considerable interests in recently years, including Principal Component Analysis (PCA), Linear Discriminant Analysi...
Deng Cai, Xiaofei He, Yuxiao Hu, Jiawei Han, Thoma...
CVPR
2008
IEEE
15 years 11 months ago
Semi-Supervised Discriminant Analysis using robust path-based similarity
Linear Discriminant Analysis (LDA), which works by maximizing the within-class similarity and minimizing the between-class similarity simultaneously, is a popular dimensionality r...
Yu Zhang, Dit-Yan Yeung