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» Scale-robust Feature Extraction For Face Recognition
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NIPS
2004
14 years 11 months ago
Two-Dimensional Linear Discriminant Analysis
Linear Discriminant Analysis (LDA) is a well-known scheme for feature extraction and dimension reduction. It has been used widely in many applications involving high-dimensional d...
Jieping Ye, Ravi Janardan, Qi Li
BIOID
2008
157views Biometrics» more  BIOID 2008»
14 years 11 months ago
Modeling Marginal Distributions of Gabor Coefficients: Application to Biometric Template Reduction
Abstract. Gabor filters have demonstrated their effectiveness in automatic face recognition. However, one drawback of Gabor-based face representations is the huge amount of data th...
Daniel González-Jiménez, José...
ICISP
2010
Springer
14 years 11 months ago
Selecting Optimal Orientations of Gabor Wavelet Filters for Facial Image Analysis
Abstract. Gabor wavelet-based methods have been widely used to extract representative features for face analysis. However, the existing methods usually suffer from high computation...
Tianqi Zhang, Bao-Liang Lu
NAACL
2007
14 years 11 months ago
Entity Extraction is a Boring Solved Problem - Or is it?
This paper presents empirical results that contradict the prevailing opinion that entity extraction is a boring solved problem. In particular, we consider data sets that resemble ...
Marc Vilain, Jennifer Su, Suzi Lubar
DAGM
1995
Springer
15 years 1 months ago
Learning Weights in Discrimination Functions Using a priori Constraints
We introduce a learning algorithm for the weights in a very common class of discrimination functions usually called weighted average". Di erent submodules are produced by som...
Norbert Krüger