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» Face Detection Using Mixtures of Linear Subspaces
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MLMI
2004
Springer
15 years 2 months ago
Mixture of SVMs for Face Class Modeling
We 1 present a method for face detection which uses a new SVM structure trained in an expert manner in the eigenface space. This robust method has been introduced as a post process...
Julien Meynet, Vlad Popovici, Jean-Philippe Thiran
TIP
2010
188views more  TIP 2010»
14 years 7 months ago
On-line Learning of Mutually Orthogonal Subspaces for Face Recognition by Image Sets
—We address the problem of face recognition by matching image sets. Each set of face images is represented by a subspace (or linear manifold) and recognition is carried out by su...
Tae-Kyun Kim, Josef Kittler, Roberto Cipolla
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...
FGR
2000
IEEE
123views Biometrics» more  FGR 2000»
15 years 1 months ago
A Fast and Accurate Face Detector for Indexation of Face Images
Detecting faces in images with complex backgrounds is a difficult task. Our approach, which obtains state of the art results, is based on a generative neural network model: the C...
Raphaël Feraud, Olivier Bernier, Jean-Emmanue...
BMCBI
2006
103views more  BMCBI 2006»
14 years 9 months ago
Probe-level linear model fitting and mixture modeling results in high accuracy detection of differential gene expression
Background: The identification of differentially expressed genes (DEGs) from Affymetrix GeneChips arrays is currently done by first computing expression levels from the low-level ...
Sébastien Lemieux