Kernel Fusion for Image Classification Using Fuzzy Structural Information

Abstract

Various kernel functions on graphs have been defined recently. In this article, our purpose is to assess the efficiency of a marginalized kernel for image classification using structural information. Graphs are built from image segmentations, and various types of information concerning the underlying image regions as well as the spatial relationships… (More)
DOI: 10.1007/978-3-540-76856-2_30

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Cite this paper

@inproceedings{Aldea2007KernelFF, title={Kernel Fusion for Image Classification Using Fuzzy Structural Information}, author={Emanuel Aldea and Geoffroy Fouquier and Jamal Atif and Isabelle Bloch}, booktitle={ISVC}, year={2007} }