We propose a family of kernels between images, defined as kernels between their respective segmentation graphs. The kernels are based on soft matching of ...
We propose a family of kernels between images, defined as kernels between their respective segmentation graphs. The kernels are based on soft matching of ...
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(PDF) Image Classification with Segmentation Graph Kernels
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We propose a family of kernels between images, defined as kernels between their respective segmentation graphs. The kernels are based on soft matching of ...
We propose a family of kernels between images, defined as kernels between their respective segmentation graphs. The kernels are based on soft matching of ...
– Allows to work on “more reliable” over-segmentation. – Going to a large square grid (millions of pixels) to a small graph. (dozens or hundreds of regions) ...
So to avoid these hardness problems kernels can be used for image classification. In this paper tree walk kernels are used for seg- mentation. 1.4 Proposed ...
Image segmentation algorithms take images represented as 2D arrays of colored pixels and divide them up into regions.
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We propose in this article an image classification technique based on kernel methods and graphs. Our work explores the possibility of applying marginalized ...
