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Table 1. Algorithm 1: Learning embedding from local coding based matching kernel:LCMK.

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Figure 1.

Some examples from Caltech101/256 and PASCAL VOC 2007/2011 datasets.

a) Caltech101. b) Caltech-256. c) PASCAL VOC 2007/2011.

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Figure 2.

Mean accuracy of each category on 15-Scenes dataset.

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Figure 3.

Image representation using local coding based spectral embedding.

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Table 2.

Image classification results using 15-Scenes dataset in terms of mAP and stdv(%).

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Table 3.

Image classification results using Caltech101 dataset in terms of mAP and stdv(%).

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Table 4.

Image classification results using Caltech256 dataset in terms of mAP and stdv(%).

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Table 5.

Image classification results using PASCAL-VOC07 dataset in terms of mAP(%).

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Table 6.

Image classification results using PASCAL-VOC2011 dataset in terms of mAP(%).

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