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SEMI-SUPERVISED OBJECT RECOGNITION USING STRUCTURE KERNEL

Object recognition is a fundamental problem in computer vision. Part-based models offer a sparse, flexible representation of objects, but suffer from difficulties in training and often use standard kernels. In this paper, we propose a positive definite kernel called “structure kernel”, which measure...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Wang, Botao, Xiong, Hongkai, Jiang, Xiaoqian, Ling, Fan
Format: Artigo
Sprache:Inglês
Veröffentlicht: 2012
Schlagworte:
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC3648669/
https://ncbi.nlm.nih.gov/pubmed/23666108
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