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Learning deep features for source color laser printer identification based on cascaded learning

Research article (Neurocomputing, 2019) · cited 21× · AI/ML
academia openalex:W2966630839
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Learning deep features for source color laser printer identification based on cascaded learning

Summary

Learning deep features for source color laser printer identification based on cascaded learning is a scholarly article[1].

Key Facts

  • Learning deep features for source color laser printer identification based on cascaded learning's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Learning deep features for source color laser printer identification based on cascaded learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/learning-deep-features-for-source-color-laser-printer-identification-based-on-cascaded-learning
MLA “Learning deep features for source color laser printer identification based on cascaded learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/learning-deep-features-for-source-color-laser-printer-identification-based-on-cascaded-learning.
BibTeX @misc{4ortxyz_learning-deep-features-for-source-color-laser-printer-identification-based-on-cascaded-learning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Learning deep features for source color laser printer identification based on cascaded learning}}, year = {2026}, url = {https://4ort.xyz/entity/learning-deep-features-for-source-color-laser-printer-identification-based-on-cascaded-learning}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Learning deep features for source color laser printer identification based on cascaded learning — https://4ort.xyz/entity/learning-deep-features-for-source-color-laser-printer-identification-based-on-cascaded-learning (retrieved 2026-05-24)

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