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» Scale-robust Feature Extraction For Face Recognition
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NIPS
2004
13 years 9 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»
13 years 9 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
13 years 9 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
13 years 9 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
13 years 11 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