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CVPR
2008
IEEE
16 years 2 days ago
Boosting ordinal features for accurate and fast iris recognition
In this paper, we present a novel iris recognition method based on learned ordinal features.Firstly, taking full advantages of the properties of iris textures, a new iris represen...
Zhaofeng He, Zhenan Sun, Tieniu Tan, Xianchao Qiu,...
JMLR
2008
73views more  JMLR 2008»
14 years 10 months ago
On the Suitable Domain for SVM Training in Image Coding
Conventional SVM-based image coding methods are founded on independently restricting the distortion in every image coefficient at some particular image representation. Geometrical...
Gustavo Camps-Valls, Juan Gutierrez, Gabriel G&oac...
TASLP
2008
82views more  TASLP 2008»
14 years 10 months ago
Union of MDCT Bases for Audio Coding
This paper investigates the use of sparse overcomplete decompositions for audio coding. Audio signals are decomposed over a redundant union of modified discrete cosine transform (M...
Emmanuel Ravelli, Gaël Richard, Laurent Daude...
ICIP
2004
IEEE
15 years 11 months ago
Redundant image representations in security applications
To be efficient, data protection algorithms should generally exploit the properties of the media information in the transform domain. In this paper, we will advocate the use of no...
Philippe Jost, Pierre Vandergheynst, Pascal Frossa...
PAMI
2006
127views more  PAMI 2006»
14 years 10 months ago
Incremental Nonlinear Dimensionality Reduction by Manifold Learning
Understanding the structure of multidimensional patterns, especially in unsupervised case, is of fundamental importance in data mining, pattern recognition and machine learning. Se...
Martin H. C. Law, Anil K. Jain