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Correntropy and Linear Representation

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Part of the SpringerBriefs in Computer Science book series (BRIEFSCOMPUTER)

Abstract

The nearest neighbor (NN) classifier is the most popular method for image-based object recognition. In NN classifier, the representational capacity of an image database and the recognition rate depend on how registered samples are selected to represent object’s possible variations and also how many samples are available. However, in practice, only a small number of samples are available for an object class. Hence linear representation methods are developed to generalize the representational capacity of available samples.

Keywords

Near Neighbor Query Point Kernel Size Stability Score Near Neighbor Classifier 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© The Author(s) 2014

Authors and Affiliations

  1. 1.National Laboratory of Pattern RecognitionInstitute of Automation Chinese Academy of SciencesBeijingChina
  2. 2.School of Information and ControlNanjing University of Information Science and TechnologyNanjingChina

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