Improving multiclass classification by deep networks using DAGSVM and Triplet Loss

Research article (Pattern Recognition Letters, 2018) · cited 27× · AI/ML
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Improving multiclass classification by deep networks using DAGSVM and Triplet Loss

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Improving multiclass classification by deep networks using DAGSVM and Triplet Loss is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Improving multiclass classification by deep networks using DAGSVM and Triplet Loss. Retrieved May 24, 2026, from https://4ort.xyz/entity/improving-multiclass-classification-by-deep-networks-using-dagsvm-and-triplet-loss
MLA “Improving multiclass classification by deep networks using DAGSVM and Triplet Loss.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/improving-multiclass-classification-by-deep-networks-using-dagsvm-and-triplet-loss.
BibTeX @misc{4ortxyz_improving-multiclass-classification-by-deep-networks-using-dagsvm-and-triplet-loss_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Improving multiclass classification by deep networks using DAGSVM and Triplet Loss}}, year = {2026}, url = {https://4ort.xyz/entity/improving-multiclass-classification-by-deep-networks-using-dagsvm-and-triplet-loss}, note = {Accessed: 2026-05-24}}
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