381 search results - page 22 / 77 » Boosting linear discriminant analysis for face recognition |
ICCV
2007
IEEE
15 years 11 months ago
2007
IEEE
Linear Discriminant Analysis (LDA) has been a popular method for extracting features which preserve class separability. The projection vectors are commonly obtained by maximizing ...
100
Voted
BMVC
2000
14 years 11 months ago
2000
We present an integrated framework for dynamic face detection and recognition, where head pose is estimated using Support Vector Regression, face detection is performed by Support...
101
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ICB
2007
Springer
15 years 1 months ago
2007
Springer
The symmetrical decomposition is a powerful method to extract features for image recognition. It reveals the significant discriminative information from the mirror image of symmetr...
72
Voted
ICNC
2005
Springer
15 years 3 months ago
2005
Springer
Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) techniques are important and well-developed area of image recognition and to date many linear discriminati...
VISUAL
2005
Springer
15 years 3 months ago
2005
Springer
We present a Modular Bilinear Disciminant Analysis (MBDA) approach for face recognition. A set of classifiers are trained independently on specific face regions, and different c...