منابع مشابه
Editing the nearest feature line classifier
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متن کاملNearest feature line embedding for face hallucination
A new manifold learning method, called nearest feature line (NFL) embedding, for face hallucination is proposed. While many manifold learning based face hallucination algorithms have been proposed in recent years, most of them apply the conventional nearest neighbour metric to derive the subspace and may not effectively characterise the geometrical information of the samples, especially when th...
متن کاملRestricted Nearest Feature Line with Ellipse for Face Recognition
In this paper, a novel classifier based on nearest feature line is proposed, which is called as restricted nearest feature line with ellipse (RNFLE). NFL successfully improves the classification ability. However there are still some drawbacks in NFL that limit their further application in practice. To improve the miss-classification of nearest feature line when the prototypes in NFL are far awa...
متن کاملRectified nearest feature line segment for pattern classification
This paper points out and analyzes the advantages and drawbacks of the Nearest Feature Line (NFL) classifier. To overcome the shortcomings, a new feature subspace with two simple and effective improvements is built to represent each class. The proposed method, termed Rectified Nearest Feature Line Segment (RNFLS), is shown to possess a novel property of concentration as a result of the added li...
متن کاملPattern Classification Using Rectified Nearest Feature Line Segment
This paper proposes a new classification method termed Rectified Nearest Feature Line Segment (RNFLS). It overcomes the drawbacks of the original Nearest Feature Line (NFL) classifier and possesses a novel property that centralizes the probability density of the initial sample distribution, which significantly enhances the classification ability. Another remarkable merit is that RNFLS is applic...
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ژورنال
عنوان ژورنال: Scholarpedia
سال: 2008
ISSN: 1941-6016
DOI: 10.4249/scholarpedia.4357