References

Table of Contents

  1. Introduction and Background
  2. Data
  3. Methods and Key Measures
  4. Results
  5. Discussion
  6. Limitations
  7. Implications and Conclusions
  8. Division of Labor
  9. References

References

Ankerst, M., Breunig, M. M., Kriegel, H.-P., & Sander, J. (1999). OPTICS: Ordering points to identify the clustering structure. ACM SIGMOD Record, 28(2), 49–60. https://doi.org/10.1145/304181.304187

Chung, J. S., Arandjelović, R., Bergel, G., Franklin, A., & Zisserman, A. (2015). Re-presentations of Art Collections. In L. Agapito, M. M. Bronstein, & C. Rother (Eds.), Computer Vision—ECCV 2014 Workshops (Vol. 8925, pp. 85–100). Springer International Publishing. https://doi.org/10.1007/978-3-319-16178-5_6

Goulden, R. J. (1988). The ornament stock of Henry Woodfall, 1719-1747: A preliminary inventory illustrated. The Bibliographical Society.

Grafton, A. T., & Eisenstein, E. L. (1980). The Importance of Being Printed. Journal of Interdisciplinary History, 11(2), 265. https://doi.org/10.2307/203783

Greenwood, E. L. (2015). Work, Identity and Letterpress Printers in Britain, 1750–1850 [University of Manchester]. https://pure.manchester.ac.uk/ws/portalfiles/portal/54576325/FULL_TEXT.PDF

He, K., Zhang, X., Ren, S. and Sun, J., (2015). Delving deep into rectifiers: Surpassing human-level performance on imagenet classification. In Proceedings of the IEEE international conference on computer vision (pp. 1026-1034).

He, K., Gkioxari, G., Dollár, P. and Girshick, R., (2017). Mask r-cnn. In Proceedings of the IEEE international conference on computer vision (pp. 2961-2969).

Hill, M. J., Vaara, V., Säily, T., Lahti, L., & Tolonen, M. (2019). Reconstructing intellectual networks: From the ESTC’s bibliographic metadata to historical material. In C. Navarretta, M. Agirrezabal, & B. Maegaard (Eds.), Digital Humanities in the Nordic Countries (Issue 2364, pp. 201–219). CEUR-WS.org.

James, G., Witten, D., Hastie, T., & Tibshirani, R. (2021). An introduction to statistical learning (2nd ed.) [PDF]. Springer.

Lahti, L., Marjanen, J., Roivainen, H., & Tolonen, M. (2019). Bibliographic Data Science and the History of the Book (c. 1500–1800). Cataloging & Classification Quarterly, 57(1), 5–23. https://doi.org/10.1080/01639374.2018.1543747

Lin, T.-Y., Dollár, P., Girshick, R., He, K., Hariharan, B., & Belongie, S. (2017). Feature Pyramid Networks for Object Detection (arXiv:1612.03144). arXiv. http://arxiv.org/abs/1612.03144

Mäkelä, E. L., Krista; Lahti, Leo; Säily, Tanja; Tolonen, Mikko; Hämäläinen, Mika; Kaislaniemi, Samuli; Nevalainen, Terttu. (2020). Wrangling with non-standard data. http://hdl.handle.net/10138/317399

Maslen, K. I. D. (1973). The Bowyer ornament stock. Oxford Bibliographical Society, Bodleian Library.

Maslen, K. I. D. (2001). Samuel Richardson of London, printer: A study of his printing based on ornament use and business accounts. Univ. of Otago.

Maslen, K., & Lancaster, J. (1991). The Bowyer Ledgers: The Printing Accounts Of William Bowyer Father And Son. Zenodo. https://doi.org/10.5281/ZENODO.1342527

Masson-Forsythe, M. (2021). Generate image embeddings using a pre-trained CNN and store them in Hub. Activeloop. https://www.activeloop.ai/resources/generate-image-embeddings-using-a-pre-trained-cnn-and-store-them-in-hub/

Murphy, K. P. (2023). Probabilistic Machine Learning: Advanced Topics. MIT Press. http://probml.github.io/book2

Nepovinnykh, E., Chelak, I., Eerola, T., & Kälviäinen, H. (2022a). NORPPA: NOvel Ringed seal re-identification by Pelage Pattern Aggregation. Computer Vision and Pattern Recognition Laboratory. https://github.com/kwadraterry/norppa

Nepovinnykh, E., Chelak, I., Eerola, T., & Kälviäinen, H. (2022b). NORPPA: NOvel Ringed seal re-identification by Pelage Pattern Aggregation (arXiv:2206.02498). arXiv. http://arxiv.org/abs/2206.02498

Raven, J. (2007). The business of books: Booksellers and the English book trade, 1450-1850. Yale University Press.

Redmon, J., Divvala, S., Girshick, R. and Farhadi, A., (2016). You only look once: Unified, real-time object detection. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 779-788).

Ren, S., He, K., Girshick, R. and Sun, J., (2015). Faster r-cnn: Towards real-time object detection with region proposal networks. Advances in neural information processing systems, 28.

Ross, John C. (1990). Charles Ackers’ Ornament Usage. Oxford: The Bibliographical Society.

Shen, C., Jin, Z., Zhao, Y., Fu, Z., Jiang, R., Chen, Y., & Hua, X.-S. (2017). Deep Siamese Network with Multi-level Similarity Perception for Person Re-identification. Proceedings of the 25th ACM International Conference on Multimedia, 1942–1950. https://doi.org/10.1145/3123266.3123452

Sher, R. B. (2010). The enlightenment & the book: Scottish authors & their publishers in eighteenth-century Britain, Ireland & America. The University of Chicago Press.

Terven, J. and Cordova-Esparza, D., (2023). A Comprehensive Review of YOLO: From YOLOv1 to YOLOv8 and Beyond. arXiv preprint arXiv:2304.00501.

Tolonen, M., Mäkelä, E., & Lahti, L. (2022). The Anatomy of Eighteenth Century Collections Online (ECCO). Eighteenth-Century Studies, 56(1), 95–123. https://doi.org/10.1353/ecs.2022.0060

Ultralytics, (2023). Ultralytics YOLOv8 Docs. Retrieved from https://docs.ultralytics.com/.

Valleriani, M., Vogl, M., el-Hajj, H., & Pham, K. (2022). The Network of Early Modern Printers and Its Impact on the Evolution of Scientific Knowledge: Automatic Detection of Awareness Relationships. Histories, 2(4), 466–503. https://doi.org/10.3390/histories2040033

Wilkinson, H., Briggs, J., & Gorissen, D. (2021). Computer Vision and the Creation of a Database of Printers’ Ornaments. 15(1). http://digitalhumanities.org/dhq/vol/15/1/000537/000537.html#

 

< Previous section: Division of Labor