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» Robust Feature Selection Algorithms
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ICPR
2010
IEEE
15 years 6 months ago
Monogenic Binary Pattern (MBP): A Novel Feature Extraction and Representation Model for Face Recognition
A novel feature extraction method, namely monogenic binary pattern (MBP), is proposed in this paper based on the theory of monogenic signal analysis, and the histogram of MBP (HMB...
Meng Yang, Lei Zhang, Lin Zhang, David Zhang
99
Voted
ICASSP
2010
IEEE
15 years 2 months ago
An adaptive initialization method for speaker Diarization based on prosodic features
The following article presents a novel, adaptive initialization scheme that can be applied to most state-of-the-art Speaker Diarization algorithms, i.e. algorithms that use agglom...
David Imseng, Gerald Friedland
CVGIP
2006
163views more  CVGIP 2006»
15 years 2 months ago
SVD-matching using SIFT features
The paper tackles the problem of feature points matching between pair of images of the same scene. This is a key problem in computer vision. The method we discuss here is a versio...
Elisabetta Delponte, Francesco Isgrò, Franc...
101
Voted
ICIP
2005
IEEE
16 years 4 months ago
Image denoising in nonlinear scale-spaces: automatic scale selection via cross-validation
Multiscale, i.e. scale-space image analysis is a powerful framework for many image processing tasks. A fundamental issue with such scale-space techniques is the automatic selectio...
George Papandreou, Petros Maragos
130
Voted
ICIP
2005
IEEE
16 years 4 months ago
Shape contexts and Gabor features for face description and authentication
In this paper, we use a robust shape matching algorithm for stablishing correspondences between points from face images, and Gabor vectors (jets) for feature computation. After ex...
Daniel González-Jiménez, José...