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» Face Recognition Based on Discriminative Manifold Learning
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JMM2
2006
149views more  JMM2 2006»
14 years 9 months ago
Invariant Robust 3-D Face Recognition based on the Hilbert Transform in Spectral Space
One of the main objectives of face recognition is to determine whether an acquired face belongs to a reference database and to subsequently identify the corresponding individual. F...
Eric Paquet, Marc Rioux
IPCV
2008
14 years 11 months ago
Face Recognition using PCA and LDA with Singular Value Decomposition (SVD)
Linear Discriminant Analysis(LDA) is well-known scheme for feature extraction and dimension reduction. It has been used widely in many applications involving high-dimensional data,...
Neeta Nain, Nitish Agarwal, Prashant Gour, Rakesh ...
VISUAL
2005
Springer
15 years 3 months ago
Face Recognition Using Modular Bilinear Discriminant Analysis
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...
Muriel Visani, Christophe Garcia, Jean-Michel Joli...
ICIP
2003
IEEE
15 years 11 months ago
Improving shape-based face recognition by means of a supervised discriminant Hausdorff distance
This paper introduces a supervised discriminant Hausdorff distance that fits into the framework for automatic face analysis and recognition proposed in [1]. Our proposal relies so...
Albert Pujol, Antonio M. López, José...
KDD
2012
ACM
183views Data Mining» more  KDD 2012»
13 years 4 days ago
Mining discriminative components with low-rank and sparsity constraints for face recognition
This paper introduces a novel image decomposition approach for an ensemble of correlated images, using low-rank and sparsity constraints. Each image is decomposed as a combination...
Qiang Zhang, Baoxin Li