6 search results - page 1 / 2 » Combining Reconstructive and Discriminative Subspace Methods... |
PAMI
2006
13 years 4 months ago
2006
Linear subspace methods that provide sufficient reconstruction of the data, such as PCA, offer an efficient way of dealing with missing pixels, outliers, and occlusions that often ...
ICDM
2007
IEEE
13 years 8 months ago
2007
IEEE
Recently the problem of dimensionality reduction (or, subspace learning) has received a lot of interests in many fields of information processing, including data mining, informati...
CVPR
2008
IEEE
13 years 5 months ago
2008
IEEE
Learning a robust projection with a small number of training samples is still a challenging problem in face recognition, especially when the unseen faces have extreme variation in...
PAMI
2010
12 years 11 months ago
2010
In this paper, we present a novel approach of face identification by formulating the pattern recognition problem in terms of linear regression. Using a fundamental concept that pat...
CVPR
2010
IEEE
13 years 8 months ago
2010
IEEE
A clustering framework within the sparse modeling and dictionary learning setting is introduced in this work. Instead of searching for the set of centroid that best fit the data, ...