Title | ||
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Undoing the codebook bias by linear transformation with sparsity and F-norm constraints for image classification. |
Abstract | ||
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•We propose a novel linear codebook transformation method to undo the image dataset bias.•We alternatively optimize over the linear transformation matrix and encoding parameters.•We achieve comparable performance with codebook generated by the corresponding image dataset. |
Year | DOI | Venue |
---|---|---|
2014 | 10.1016/j.patrec.2014.04.002 | Pattern Recognition Letters |
Keywords | Field | DocType |
Codebook bias,Linear transformation,Sparsity,Alternative optimization | Computer vision,Feature vector,Linear independence,U-matrix,Linde–Buzo–Gray algorithm,Bag-of-words model in computer vision,Pattern recognition,Artificial intelligence,Transformation matrix,Mathematics,Codebook,Visual Word | Journal |
Volume | ISSN | Citations |
45 | 0167-8655 | 1 |
PageRank | References | Authors |
0.35 | 33 | 7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Chunjie Zhang | 1 | 482 | 39.70 |
Chao Liang | 2 | 1059 | 77.92 |
Junbiao Pang | 3 | 193 | 15.81 |
Yifan Zhang | 4 | 512 | 30.27 |
Jing Liu | 5 | 1781 | 88.09 |
Lei Qin | 6 | 515 | 27.67 |
Qingming Huang | 7 | 3919 | 267.71 |