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PAKDD
2007
ACM
152views Data Mining» more  PAKDD 2007»
15 years 6 months ago
Spectral Clustering Based Null Space Linear Discriminant Analysis (SNLDA)
While null space based linear discriminant analysis (NLDA) obtains a good discriminant performance, the ability easily suffers from an implicit assumption of Gaussian model with sa...
Wenxin Yang, Junping Zhang
CVPR
2011
IEEE
14 years 4 months ago
Discriminative Spatial Pyramid
Spatial Pyramid Representation (SPR) is a widely used method for embedding both global and local spatial information into a feature, and it shows good performance in terms of gene...
Tatsuya Harada, Yoshitaka Ushiku, Yuya Yamashita, ...
126
Voted
CVPR
2007
IEEE
16 years 2 months ago
Discriminant Mutual Subspace Learning for Indoor and Outdoor Face Recognition
Outdoor face recognition is among the most challenging problems for face recognition. In this paper, we develop a discriminant mutual subspace learning algorithm for indoor and ou...
Zhifeng Li, Dahua Lin, Helen M. Meng, Xiaoou Tang
115
Voted
ICIP
2009
IEEE
16 years 1 months ago
Determining Discriminative Anatomical Point Pairings Using Adaboost For 3d Face Recognition
In this paper, we present a novel method for 3D face recognition using adaboosted geodesic distance features. Firstly, a generic model is finely conformed to each face model conta...
89
Voted
ICML
2009
IEEE
16 years 1 months ago
Discriminative k-metrics
The k q-flats algorithm is a generalization of the popular k-means algorithm where q dimensional best fit affine sets replace centroids as the cluster prototypes. In this work, a ...
Arthur Szlam, Guillermo Sapiro