University of Groningen
The snowball principle for handwritten word-image retrieval
van Oosten, Jean-Paul
DOI:
10.33612/diss.160750597
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Publication date: 2021
Link to publication in University of Groningen/UMCG research database
Citation for published version (APA):
van Oosten, J-P. (2021). The snowball principle for handwritten word-image retrieval: The importance of labelled data and humans in the loop. University of Groningen. https://doi.org/10.33612/diss.160750597
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P U B L I C AT I O N S B Y T H E A U T H O R
Bhowmik, T. K., van Oosten, J.-P., and Schomaker, L. (2011). Segmental K-means learning with mixture distribution for HMM based handwriting recognition. Pattern Recognition and Machine Intelligence, pages 432–439
van Oosten, J.-P. and Schomaker, L. (2012). Separability versus prototypicality in handwritten word retrieval. In Frontiers in Handwriting Recognition (ICFHR), 2012 Interna-tional Conference on, pages 8–13. IEEE
van Oosten, J.-P. and Schomaker, L. (2014b). Separability versus prototypicality in handwritten word-image retrieval. Pattern Recognition, 47(3):1031–1038
van Oosten, J.-P. and Schomaker, L. (2014a). A reevaluation and benchmark of hidden Markov models. In Frontiers in Handwriting Recognition (ICFHR), 2014 14th International Conference on, pages 531–536. IEEE
Surinta, O., Holtkamp, M., Karabaa, F., van Oosten, J.-P., Schomaker, L., and Wiering, M. (2014). A∗path planning for line segmentation of handwritten documents. In Fron-tiers in Handwriting Recognition (ICFHR), 2014 14th Interna-tional Conference on, pages 175–180. IEEE
Niitsuma, M., Schomaker, L., van Oosten, J.-P., Tomita, Y., and Bell, D. (2016). Musicologist-driven writer identifi-cation in early music manuscripts. Multimedia Tools and Applications, 75(11):6463–6479
110 p u b l i c at i o n s b y t h e au t h o r
van Oosten, J.-P. and Schomaker, L. (Submitted). Exam-ining common assumptions about the convergence of the Baum-Welch training algorithm for hidden Markov models. Journal of Machine Learning Research
