In this paper, we propose an uncorrelated, weighted LDA (UWLDA) technique for face recognition. The UWLDA extends the uncorrelated LDA (ULDA) technique by ...
In this paper, we propose an uncorrelated, weighted LDA (UWLDA) technique for face recognition. The UWLDA extends the uncorrelated LDA (ULDA) technique by ...
Abstract. In this paper, we propose an uncorrelated, weighted LDA. (UWLDA) technique for face recognition. The UWLDA extends the un-.
In this paper, we propose a novel uncorrelated, weighted linear discriminant analysis (UWLDA) method for feature extraction and recognition.
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This paper presents a method to extract optimal discriminant features for face images by using the uncorrelated discriminant transformation and KL expansion.
In this paper, we use kernel uncorrelated discriminant analysis to extract the optimal discriminant features for face recognition. The method also solves the so ...
In this paper, we propose a novel uncorrelated, weighted linear discriminant analysis (UWLDA) method for feature extraction and recognition.
Second is the adoption of the statistically uncorrelated constrains and the last is the integration of the weighting scheme. UWLDA is used in face recognition ...
UEDFDA defines the parameterless diversity weighted matrix by taking both the class label information and the local structure into account. Thus UEDFDA can ...
Missing: Linear | Show results with:Linear
Face recognition using nonparametric-weighted Fisherfaces
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Apr 26, 2012 · This study presents an appearance-based face recognition scheme called the nonparametric-weighted Fisherfaces (NW-Fisherfaces). Pixels in a ...